Is the new progressive IMF just an illusion?

“The Funeral of Austerity”– that’s how the FT referred to the IMF’s last round of annual meetings. In a radical departure from past approaches, the fund’s glossy publications encouraged countries to increase spending during the pandemic. Managing Director Kristalina Georgieva even talked about the need to ramp up public investment in service of greener and more inclusive economies. It was a big shift in rhetoric, and it earned the IMF stellar press coverage. But was it just rhetoric, or have things actually changed? To know whether austerity really died, we have to look at what the IMF said to its members states, not to the press. 

To give credit where credit is due, the IMF did step up to offer emergency loans during the pandemic. Unlike usual IMF lending, they did not carry conditions; countries were not forced to adopt any particular economic policies to get access. By the end of 2020, over 70 countries had taken out such loans, and they provided a lifeline. As uncertainty around the pandemic triggered a massive capital outflow from the developing world, these loans helped alleviate some of the most immediate needs. 

But although conditionality was absent, the emergency loans did come with advice. And despite the novel rhetoric at the IMF annual meetings, the advice was business as usual: regressive taxation, “structural reforms” (deregulation, liberalization, and privatizations), and fiscal consolidation. These are the same policies that the IMF has imposed for decades and that have had disastrous results for borrowing countries. Does the Fund really believe they can be relied upon to provide the inclusive and sustainable growth they’ve come to emphasize?

Answering this question required me to better understand the way the IMF justifies its recommendations. In a report for the ITUC, I was able to unpack just that.

This recent IMF research paper gives some clues by tracing the evolution of the Fund’s growth narratives over time. What becomes apparent is that IMF’s narratives have changed response to politics more so than in response to results. The paper asserts that industrialization, manufacturing, and innovation were considered as drivers of growth by the IMF, until the 1980s. The shift in narrative coincides with a push from the  Reagan administration to adopt trickle-down economics and make neoliberal ideology go global. 

It was then that the IMF’s narrative on what are the main drivers of growth morphed into the “Washington Consensus”, blaming poor economic performance on  government intervention and encouraging states to get out of the way.  From that premise, privatizing, deregulating, and liberalizing seem like the path to growth. And the now ubiquitous Dynamic Stochastic General Equilibrium (DSGE) models have helped the cause along. With market superiority built into the assumptions of the model, a lot of mathematics can “demonstrate” the justifiability of the policies proposed. 

The Washington Consensus policies are what the IMF refers to as structural reforms. The 1980s marked the start of “Structural Adjustment Programs” that had disastrous consequences for the developing world, while the benefits never materialized. Over the last decades, none of the countries that followed the IMF’s advice were able to industrialize and move up the income ladder. The countries that did move up (such as the Asian Tigers) relied on industrial policy. 

After a series of high profile failures and a loss of credibility, the IMF officially discontinued Structural Adjustment Programs. However, while additional language was added to its advice, terms such as inequality, inclusive growth, corruption, and human capital started to appear alongside elements of the Washington Consensus. The structural reforms at the core of those programs are still prevalent.  

Those shaping IMF policy advice continue to tell a different story, one where structural reforms work, even if they are unpopular. Their work continues to find creative ways to group countries together to claim that its approach works and blame abysmal growth performance in some of their top “reformers” on their own failures. 

For example, a 2019 publication that aimed to defend the benefits of such reforms scored countries based on their adoption of structural reforms. While the paper groups countries in a way that allows reporting better growth from more reforms, a look at the entire sample paints a different picture. The best per capita growth in the sample is from China, which is not a top reformer and certainly not a follower of IMF advice, while top scorers such as Ukraine, Russia, and Egypt have amongst the worse growth performances in the sample. 

In general, it is well documented, including in the IMF’s own internal review of programs, that the IMF in its programs and projections continues to underestimate the negative impacts of austerity, while overestimating the growth grains from the reforms it pushes. 

While those designing policy advice at the IMF might not be fully ready to admit their approach does not deliver on growth, the institution’s own research department published a series of papers on the negative social consequences of many of these policies. There is IMF research that links policies the IMF has imposed for decades to increasing inequality, and higher inequality to lower growth. Furthermore, Argentina and Greece are just two recent examples of huge spikes in poverty caused by the economic collapse that followed IMF-imposed policy approaches. 

If the IMF truly means what it says about wanting to support a green and inclusive recovery, it needs to fully revamp its policy toolkit, and reassess all the advice it gives countries. Even if the IMF were to incorporate concerns about inequality and the environment in its current models, they would still be underpinned by the market fundamentalism baked into the DSGE models it uses. The limitations of adding variables to the same old paradigm are already showing when it comes to climate policies. The IMF is suggesting, all based on carbon pricing and the idea that nudging markets can solve the existential climate crisis in a timely manner, an overoptimistic assumption this time with devastating consequences for the  entire planet.  

As long as trickle-down, supply-side economics continues to shape the core of its advice, the new IMF will be just like the old IMF, now with more gentle rhetoric. 

Lara Merling is a policy advisor at the International Trade Union Confederation, which represents over 200 million workers in 163 countries, and is a Senior Research Fellow at the Center for Economic and Policy Research in Washington DC. You can find her on Twitter @LaraMerling 

How to study economics and actually enjoy it.

Millions of students pursue degrees and careers in economics every year, and most start from a sense of deep curiosity. But nearly all face doubts at one point or another. Often it comes in the form of slow creeping fatigue and a gradual narrowing of interests. Other times it’s a crisis, pulling the whole field into question. Even INET’s President Rob Johnson nearly dropped out of Princeton. What’s going on?

By Gonçalo Fonseca & Heske van Doornen | It’s not the students’ fault. It is the field that is in a pickle. Economics has undergone a lot of transformation in recent decades, becoming increasingly narrow in scope, and divorcing itself from much of the ‘real world’. So if you are an econ student in a slump, questioning whether you picked the right field, this is for you.

These 8 principles show you how to approach economics without compromising your curiosity. They can help you do good work, allow you to enjoy what you are doing, and set you up to make a meaningful difference.

1. Know what to expect

Most economics programs are constructed linearly.  The intro courses present a small set of basic models and the intermediate course adds more detail. Most people expect that their senior year—or at least grad school—will introduce something new. So they are disappointed when they see the same models again, just with more calculus. What to do? Do not wait for them to serve you something else. Take matters into your own hands.

2. Keep your questions front and center

Think about the questions that brought you to the field. Did you want to understand why the markets go up and down? How did inequality get so high? How businesses innovate? What AI will do to our jobs? Let those questions be your driving force. If you find that the analytical tools you are taught cannot address them, don’t blame your questions. Go looking for more tools.

3. Think for yourself, always.

Textbooks often present themselves as objective. But economics is not settled. It may be a science, but it is a human science, with inevitable faults. So it must be approached with a wider lens, and recognized as open-ended, with room for debate. 

4. Stay connected to the real world

The models you learn are presented as universal. Relevant in any context and at any time. But stock market crashes and labor laws are not made in a void. They are made in a social and historical context. Economics is a topic, not a technique. So start with the questions, and let the answers come from anywhere. Sometimes, you will need your textbook model. Other times, you will need something else.

5. Don’t feel guilty about going broad 

It is often said that scholars are willing to sacrifice five miles of breadth for one inch of depth, as an entire academic career can be built on that inch. But that trade-off is flawed. Real issues are intertwined, big and complicated. Exploring new areas improves your work. Five miles of breadth can lead you to excavators that will let you dig with MORE depth!

6. Take responsibility for your own learning

Chances are your textbook is dull and unconvincing. So you will have to get your nourishment somewhere else. Some teachers do a great job at this, but if yours is not one of them, it is on you. Explore courses and lectures by teachers other than your own. Go down a History of Economic Thought rabbit hole. Go beyond the model minutia and get the overview.

7. Know that economics needs you

We have a climate crisis to solve, financial markets to regulate, increasing inequality to deal with, and a host of complex issues around global markets and trade. The future of work is uncertain and gender disparities continue to loom. There is no shortage of pressing questions that need answering. So if economics feels cold, dull, and limiting, and you are tempted to turn your back on it, DON’T.  Don’t leave economics to economists.  The world needs people like you—the critical, the observant, the restless, to make economics BETTER.  

8. Remember that you’re not alone

Students all over the world are faced with this conundrum. That sounds sad but it is not. Because all these people are linking up, supporting each other, and letting their questions lead the way. They are shaping the future of the field. The Young Scholars Initiative has 21 different working groups, each focusing on different topics. You are invited to join us and to be the change you’d like to see. 

We are in this together.

About the Authors:
Gonçalo L. Fonseca is a research fellow at the Institute for New Economic Thinking and author of the History of Economic Thought Website. Heske van Doornen is Manager of the Young Scholars Initiative and co-founder of this blog. Twitter: @HeskevanDoornen

Women’s Work in South Asia: trends and challenges

Although gender equality in employment is among the Sustainable Development Goals for South Asia, progress is hard to observe. Determined to explore why female employment levels remain low and stagnant, Varsha Gupta and Arun Balachandran of YSI’s South Asia Working Group organized a webinar series. Featuring eminent speakers such as Prof. Jayati Ghosh, Prof. Sonalde Desai, Prof. Jeemol Unni, Prof. Ashwini Deshpande, Dr. Dipa Sinha and Dr. Ramani Gunatilaka, the resulting conversations shed much-needed light on the topic.

Illustration by Aneesha Chitgupi, Coordinator of the South Asia Working Group

Employment is a subset of work

The series began on May Day, with an inaugural session by Professor Jayati Ghosh. Highlighting the low female employment figures in India, she explained the difference between employment and work, the former being a subset of the latter. A major proportion of women are involved in work, though it is not paid and hence does not get counted as employment. The 2019 Time Use Survey in India reaffirms that women in India spend 2.5 times more time than men in unpaid activities. The gender wage gap exists and is high in private casual work. The Covid-19 pandemic has made things worse, furthering the case for gender-sensitive economic policies. View here

The impact of COVID-19

The second talk by Prof. Sonalde Desai focussed on employment trends during the Covid-19 pandemic. She presented the latest research with the use of Delhi Metropolitan Area survey (March 2019-20). The decline in employment occurred majorly in wage employment. With the use of econometric techniques, the research finds that in absolute terms, job loss for men was severe in the first wave of Covid-19, while the second surge hit women harder in the Delhi NCR region, India. The closure of schools and the consequent child rearing duties was one of the reasons that women’s wage work fell. Highly educated women were more affected than men. Rural areas absorbed the impact of the pandemic better than urban areas. The gender difference in impact was found to be highly dependent on the sector of employment and region. View here.

Informal workers bear the brunt

Jeemol Unni’s session concentrated on the impact of the Covid crisis on women and domestic violence among members of the informal workforce. Globally, pandemics harshly affect women more, due to the sectors and the kind of work women are involved in. The majority of the women form the bottom of the labor hierarchy. With the use of CMIE and NSS data, it is seen that the second wave of Covid-19 and lockdown affected women’s employment more vis-à-vis men. Discouraged worker effect is also visible among women.  View here.

Prof. Ashwini Deshpande’s talk focussed on the gendered patterns in employment in India during first wave of the pandemic. The world over, the subsequent economic recession led to more unemployment among women than men, a pattern different from previous recessions. This is visible in India as well, in the 2020 CMIE data. The already gendered labor market in India, with fewer women employed, worsened further for females. Though the absolute figures for job loss are higher for men, the impact has been higher on women due to the pre-existing gaps. There has been exacerbating of women’s position in the domestic division of labor during August-December 2020. View here.

The potential of public employment

The penultimate session was featured Dr. Dipa Sinha highlighting the relevance of public employment in generating opportunities for female labor force in India. Nations with higher female LFPR are the ones which also have higher proportion of women in the public sector. In India, the NSS data shows that government is a significant employer for women. There is also sectoral concentration of women in health and education, where they are engaged as contractual or honorary workers (ASHA’s, Anganwadi Workers). Creating regular permanent positions in these sectors could encourage female employment. View here.

Education is not enough

Various facets of female employment in Sri Lanka were brought in by Dr. Ramani Gunatilaka from International Centre for Ethnic Studies, Colombo. While Srilankan women are better educated than their counterparts in other South Asian countries, they still remain disadvantaged in the labour market. As seen from a study led by Dr. Ramani on women’s activity preferences and time use, unpaid care and household work in Srilanka are mediated by social norms, and unequal division of unpaid work makes it difficult for women to take up paid work. View here.

Altogether, the webinars now form a virtual knowledge base on YSI’s YouTube Channel, making the insights available to young scholars all over the world.


About the organizers:

Arun Balachandran has a PhD in Economics from the University of Groningen, the Netherlands, in collaboration with the Institute for Social and Economic Change, Bengaluru. He is currently a Post-doctoral fellow at the University of Maryland, and serves as Coordinator of the YSI South Asia Working Group.

Varsha Gupta is a PhD student in Economics at Jawaharlal Nehru University, New Delhi. She using NSS data to assess issues of labor and gender, and serves as organizer for the YSI South Asia Working Group.

The YSI South Asia Working Group provides a platform for young scholars from South Asia -or those interested in the region- to select an issue they wish to work on, collaborate and discuss for better conceptualization of the problem and, debate, critique and improve upon solutions. We also invite scholars to suggest the most pressing problems and challenges to better guide the path for this working group. Join us!

Is Cryptocurrency Neutral?

“Money is pre-eminently a sanctuary, a haven for resources that would otherwise go into more perilous uses.”

Gurley & Shaw

Cryptocurrencies, which first emerged in the wake of the global financial crisis, offered a vision of “money” free from central bank and intermediaries’ control. The idea is that crypto liberates both private parties and non-major central banks from the fundamental need to be as close as possible to the Fed, the ultimate controller and issuer of the world’s means of the final settlement. In other words, crypto flattens the monetary hierarchy and creates a structural break from Money View’s claim that money is inherently hierarchical. In this essay, I argue that cryptocurrency is not flattening the “existing” monetary system. It creates a parallel, unstable monetary arrangement based on personnel, such as Elon Musk, rather than institutions, including central banks, and false economic prophecies. First, it assumes “scarcity of money” is the source of its value. Second, it “eliminates intermediaries,” such as dealers and banks, and relies on crypto exchanges, that act as brokers, to set prices. And third, it aims at stabilizing the crypto prices by guaranteeing “convertibility” while liberating itself from the central banks who make such guarantees possible under distress.

Crypto is built on a virtual hierarchy. When it comes to instruments, though, the system is mostly flat. Different cryptos are treated equally. Yet, it remains hierarchical when it comes to the relative position of its players. Similar to the original monetary system, different agents belong to different layers of the hierarchy. In contrast to it, a few high-net-worth individuals rather than institutions are at the top of it. However, the most fundamental problem is its economic foundations, which are mostly misguided monetary prophecies.

The Crypto market is built on weak foundations to support the “value,” “price,” and “convertibility” of the virtual currency. To preserve the value of the virtual currency, advocates often point to the limited supply of bitcoin and the mathematics which governs it in stark contrast to fiat money’s model of unlimited expansion regardless of underlying economic realities. It’s an unpopular position with Money View scholars who don’t view scarcity as a pressing issue. Instead, the fundamentals such as liquidity or convertibility determine the value of these monetary instruments. However, the convertibility guarantor of the last resort is the central bankers, who are totally circumvented in the Crypto mania.

The degree of liquidity or “moneyness” depends on how close these instruments are to the ultimate money or currency. Ultimately, the Fed’s unlimited power to create it by expanding its balance sheets puts the currency at the top of the hierarchy. The actual art of central banking would obviously be in response to shocks, or crises, in the financial and economic environment. During such periods, a central bank had not only to ensure its own solvency but the solvency of the entire banking system. For this reason, they had to hold disproportionate amounts of gold and currency. The point to emphasize is that while they stood ready to help other banks with cash and gold on demand, they could not expect the same service in return.

Further, central bankers’ unique position to expand their balance sheets to create reserves allow them to accommodate liquidity needs without the risk of being depleted. Yet, if a central bank had to protect itself against liquidity drain, it has tools such as discount-rate policy and open market operations. Also, central bankers in most countries can supply currency on-demand with reciprocal help from other banks. In this world, the Fed was and will remain first among equals.

The mistake of connecting the value of money to limited supply is as old as money itself. In 1911, Allyn Young made it tolerably clear that money is not primarily a thing that is valued for itself. The materials that made money, such as gold, other metals, or a computer code, are not the source of value for money. The valuable materials merely make it all the more certain that money itself may be “passed on,” that someone may always be found who is willing to take it in exchange for goods or services. The “passing on” feature becomes the hallmark of Allyn Young’s solutions to the mystery of money. Money’s value comes from holders’ willingness to pass it on, which is its purchasing power. It also depends on its ability to serve as a “standard of payment” or “standard of deferred payments.” Therefore, any commodity that serves as money is wanted, not for permanent use, but for passing on. 

What differentiates the “means of payment” from the “purchasing power” functions is their sensitivity to the “macroeconomic conditions.” Inflation, an essential barometer of the economy, might deteriorate the value of the conventional monetary instruments relative to the inflation-indexed ones as it disproportionally reduces the former instruments’ purchasing power. Yet, its impact on their function as “means of payments” is less notable. For instance, we need more “currency” to purchase the same basket of goods and services when inflation is high, reducing currency’s purchasing power. Yet, even in this period, the currency will be accepted as means of payment. 

Young warned against an old and widespread illusion that the government’s authority or the limited quantity gives the money its value. Half a century later, Gurley and Shaw (1961) criticized the quantity theory of money based on similar grounds. Specifically, they argued against the theory’s premise that the quantity of money determines money’s purchasing power, and therefore value. Such a misconception, emphasized in the quantity theory of money and built in the crypto architecture, can only be applied to an economic system handicapped by rigidities and irrationalities. In this economy, any increase in demand for money would be satisfied by deflation, even if it will retard the economic development rather than by growth in nominal money. Paradoxically, similar to the quantity theory of money, crypto-economics denies money a significant role in the economy. In other words, crypto-economics assumes that money, including cryptocurrency, is “neutral.” 

Relying on the “neutrality” of money, and therefore scarcity doctrine, maintain value has real economic consequences. Monetary neutrality is objectionable even concerning an economy in which the neoclassical ground rules of analysis are appropriate on at least two grounds. First, the quantity theory underestimates the real impact of monetary policy in the long run. The theory ignores the effects of the central bank’s manipulation of the nominal money on permanent capital gains or losses. These capital gains and losses enduringly affect the aggregate spendings, including spending on capital and new technologies, and hence come to grips with real aspects of the economy in the long run.

Second, monetary neutrality overlooks the role of financial intermediaries in the monetary system. In this system, financial intermediaries continuously intervene in the flow of financial assets from borrowers to lenders. In addition, they regulate the rate and pattern of private financial-asset accumulation, the real quantity of money, and real balances desired, hence any demands for goods and labor that are sensitive to the real value of financial variables. In the quantity theory of money, financial intermediaries that affect wealth accumulation and the real side of the economy are reduced to a fixed variable, called the velocity. 

To stabilize the prices, crypto economists rely on a common misconception that crypto exchanges set prices. Yet, by design, the crypto exchanges’ ability to set the prices and reduce their volatility is minimal. These exchanges’ business model is more similar to the functions of the brokers, who merely profit from commissions and listing fees and do not use their balance sheets to absorb market imbalances and therefore stabilize the market prices. If these exchanges acted like dealers, however, they could set the prices. But in doing so, they had to use their balance sheets and be exposed to the price risks. Given the current price volatility in the cryptocurrency market, the exchanges have no incentive to become dealers.

This dealer-free market implies that the exchange rate of a cryptocurrency usually depends on the actions of sellers and buyers. Each exchange merely calculates the price based on the supply and demand of its users. In other words, there’s no official global price. The point to emphasize is that this feature, the lack of an official “market price,” and intermediaries— banks and dealers–, is inherent in this virtual system. The absence of dealers, and other intermediaries, is a natural consequence of the virtual currency markets’ structural feature, called the decentralized finance (DeFi). 

DeFi is an umbrella term for financial services offered on public blockchains. Like traditional intermediaries, DeFi allows clients to borrow, lend, earn interest, and trade assets and derivatives. This service is often used by clients seeking to use their crypto as collateral to increase their leverage and return. They borrow against their crypto holdings to place even larger bets in this market. In the process, they expose the lenders to the “credit risk.” In non-crypto segments of the financial market, credit risk can be contained either through intermediaries, including banks and dealers, or swaps. Both mechanisms are absent in the crypto market even though the risk and leverage are intolerably present.

In the market for monetary instruments, intermediation has always played a key role. The main reason for all the intermediation for any financial instrument is that the mix of securities, or IOUs, issued by funds-deficit agents is unattractive to many surplus agents. Financial intermediaries can offer such attractive securities for several reasons. First, they pool the funds of many investors in a highly diversified portfolio, thereby reducing risk and overcoming the minimum denominations problem. Second, intermediaries can manage cash flows. Intermediaries provide a reasonable safety in the payments system as the cash outflows are likely to be met by cash inflows. The cryptocurrency is not equipped to circumvent intermediaries.

Historically, major banks with their expertise in analyzing corporate and other credits were a natural for the intermediary business, both in the traditional market for loanable funds and the swaps market. The advantage of the swaps is that they are custom-tailored deals, often arranged by one or more intermediaries. Banks could with comfort accept the credit risk of dealing with many lesser credits, and at the same time, their names were acceptable to all potential swap parties. The dealers joined the banks and became the modern intermediaries in the interest rate, FX, and credit default swaps market. Similar to the banks, they transferred the risks from one party to the other and set the price of risk in the process. DeFi cuts these middlemen, and the risk-transfer mechanism, without providing an alternative.

The shapers of crypto finance also rely on “stablecoins” to resolve the issue of convertibility. Stablecoins have seen a massive surge in popularity mainly because they are used in DeFi transactions, aiming to eliminate intermediaries. They are cryptocurrencies where the price is designed to be pegged to fiat money. They are assumed to connect the virtual monetary system and the real one. The problem is that the private support to maintain this par, especially during the crisis, is too invisible to exist. Most recently, the New York Attorney General investigation found that starting no later than mid-2017, Tether, the most reliable Stablecoin, had no access to banking anywhere in the world, and so for periods held no reserves to back tethers in circulation at the rate of one dollar for every Tether.

The paradox is that the stability of the crypto market and DeFi ultimately depends on centralized finance and central bankers. Like traditional banks, DeFi applications allow users to borrow, lend, earn interest, and trade assets and derivatives, among other things. Yet, it differs from traditional banks because it is connected to no centralized system and wholesale market. Therefore, unlike banks, DeFi does not have access to the ultimate funding source, the Fed’s balance sheet. Therefore, their promises to maintain the “par” between stablecoins and fiat currencies are as unstable as their guarantors’ access to liquidity. Unless Elon Musk or other top influencers in the virtual hierarchy are willing to absorb the imbalances of the whole system into their balance sheet, the virtual currency, like the fiat one, begs for the mercy of the Fed when hit by a crisis. The question is whether Elon Musk will be willing to act as the crypto market’s lender and dealer of last resort during a crisis?

Those who have long positions in crypto and guarantee convertibility of the stablecoins, like traditional deficit agents, require constant access to the funding liquidity. Central banks’ role in providing liquidity during a crisis is central to a modern economic system and not a mere convenience to be tolerated. Further, the ongoing dilemma to maintain the “par” between deposits and currencies has made the original payment system vulnerable. This central issue is the primary justification for the existence of the intermediaries and the banks. Without fixing the “par” and “convertibility” problems, the freedom from intermediaries and central banks, which is the most ideologically appealing feature of crypto, will become its Achilles Hill. The Crypto market has cut the intermediaries, including central banks, banks, and dealers, in its payment system without resolving the fundamental problems of the existing system. Unless crypto backers believe in blanket immunity to a crisis, a paradoxical position for the prodigy child of the capitalist system, crypto may become the victim of its ambitions, not unlike the tragedy of Macbeth. Mcbeth dramatizes the damaging physical and psychological effects of political ambition on those who seek power for its own sake. 

Elham Saeidinezhad is lecturer in Economics at UCLA. Before joining the Economics Department at UCLA, she was a research economist in International Finance and Macroeconomics research group at Milken Institute, Santa Monica, where she investigated the post-crisis structural changes in the capital market as a result of macroprudential regulations. Before that, she was a postdoctoral fellow at INET, working closely with Prof. Perry Mehrling and studying his “Money View”.  Elham obtained her Ph.D. from the University of Sheffield, UK, in empirical Macroeconomics in 2013. You may contact Elham via the Young Scholars Directory


Risks and Crises

“The most significant economic event of the era since World War II is something that has not happened.” 

Hyman Minsky, 1982

By Elham Saeidinezhad | In the 1945 film It’s A Wonderful Life, banker protagonist George Bailey (played by Jimmy Stewart) struggles to exchange his well-functioning loans for cash. He lacks convertibility—known as liquidity risk in modern finance—and so cannot pay impatient depositors. Like any traditional financial intermediary, Bailey seeks to transform short-term debts (deposits) into long-term assets (loans). In the eyes of traditional macroeconomics, a run on the bank could be prevented if Bailey had borrowed money from the Fed, and used the bank’s assets as collateral. In the late-nineteenth-century, British journalist Walter Bagehot argued that the Fed acts as a “lender of last resort,” injecting liquidity into the banking system. As long as a bank was perceived solvent, then, its access to the Fed’s credit facilities would be almost guaranteed. In an economy like the one in It’s A Wonderful Life, the primary question was whether people could get their money out in the case of a crisis. And for a long time, Bagehot’s rule, “lend freely, against good collateral, but at a high rate,” maintained the Fed’s control over the money market and helped end banking panics and systemic banking crises.

That control evaporated on September 15, 2008, with the collapse of Lehman Brothers. On that day, an enormous spike in interbank lending rates was caused not by a run on a bank, but by the failure of an illiquid securities dealer. This new generation of financial intermediaries were scarcely related to traditional counterparties—their lending model was riskier, and they did not accept deposits.1 Instead, these intermediaries synchronized their actions with central banks’ interest rate policies, buying more loans if monetary conditions were expansive and asking borrowers to repay loans if these conditions were contractive. They financed their operations in the wholesale money market, and most of their lending activities were to capital market investors rather than potential homeowners. When Lehman Brothers failed, domestic and foreign banks could no longer borrow in the money markets to pay creditors. The Fed soon realized that its lender of last resort activities were incapable of influencing the financial market.2 The crisis of 2008-09 called for measures beyond Bagehot’s principle. It revealed not only how partial our understanding of the contemporary financial system is, but how inadequate the tools we have available are for managing it.

Re-conceptualizing the Contemporary Financial System

Prior to the financial crisis, the emerging hybrid system of shadow banking went largely unmonitored. Shadow banking is a market-based credit system in which market-making activities replace traditional intermediation.3 A shadow banker acts more like a dealer who trades in new or outstanding securities to provide liquidity and set prices. In this system, short-term liquidity raised in the wholesale money market funds long-term capital market assets. The payment system reinforces this hybridity between the capital market and the money market. Investors use capital market assets as collateral to raise funds and make payments. The integrity of the payment system therefore depends on collateral acceptability in securities lending. Since the crisis, collateral has been criticized for rendering financial institutions vulnerable to firesales and loss of asset value. The Fed declined to save Lehman Brothers, a securities dealer, because the alternative would have encouraged others to make toxic loans, too. Like in Voltaire’s Candide, the head of a general was cut off to discourage the others.

The crisis also revealed the vulnerabilities of contemporary risk management. Modern risk management practices depend largely on hedging derivatives. Hedging is somewhat analogous to taking out an insurance policy; at its heart are derivatives dealers who act as counterparties and set prices. Derivatives, including options, swaps, futures, and forward contracts, reduce the risk of adverse price movements in underlying assets. The crisis exposed their fragile nature—dealers’ willingness to bear risk decreased following losses on their portfolios. These concerns left many firms frozen out of the market, forcing them to terminate or reduce their hedging programs. Rationing of hedging activity increased firms’ reliance on lines of credit. As liquidity was scarce, over-reliance on credit lines further strained firms’ risk management. In the meantime, rising hedging costs prevented them from hedging further. Derivatives dealers were essential players in setting these costs. During the crisis, dealers found it more expensive to finance their balance sheet activities and in return, they increased the fees. As a result of this cycle, firms were less and less able to use derivatives for managing risks.

Most financial economists analyze risk management through cash flow patterns. The timing of cash flow is critical because the value of most derivatives is adjusted daily to reflect their market value (they are mark-to-market). This requires a daily cash settlement process for all gains and losses to ensure that margin (collateral) requirements are being met. If the current market value causes the margin account to fall below its required level, the trader will be faced with a margin call. If the value of the derivatives falls at the end of the day, the margin account of the investors who have long positions in derivatives will be decreased. Conversely, an increase in value results in an increase in the investors’ margin account who hold the long positions. All of these activities involve cash flow.

But in order to properly conceptualize the functioning of contemporary risk management practices, we need to follow in Hyman Minsky’s footsteps and look at business cycles.4 The standard macroeconomic framing begins from the position of a representative risk-averse investor. Because the investor is risk-averse, they neither buy nor sell in equilibrium, and consequently, there is no need to consider hedging and the resulting cash flow arrangements. By contrast, Minsky developed a taxonomy to rank corporate debt quality: hedge financespeculative finance, and Ponzi finance. Hedge finance is associated with the quality of the debt in the economy and occurs when the cash from a firm’s operating activities is greater than the cash needed for its scheduled debt-servicing payments. A speculative firm’s income is sufficient to pay the interest, but it should borrow to pay the principal. A firm is Ponzi if its income is less than the amount needed to pay all interest on the due dates. The Ponzi firm must either increase its leverage or liquidate some of its assets to pay interest on time. Within this scheme, hedge finance represents the greatest degree of financial stability.

Minsky’s categorization scheme emphasizes the inherent instability of credit. In periods of economic euphoria, the quantity of debt increases because the lenders and investors become less risk-averse and more willing to make loans that had previously seemed too risky. During economic slowdowns, overall corporate profits decline, and many firms experience lower revenues.5 This opens the way for a “mania,” in which some in the hedge finance group move into speculative finance, and some firms that had been in speculative finance move into Ponzi finance.

Regulatory Responses to the Crisis: Identifying and Managing Risk

But why should a central banker worry about the market for hedging? After all, finance is inherently about embracing risk. In a financial crisis, however, these risks become systemic. Systemic risk is the possibility that an event at the company level could trigger the collapse of an entire industry or economy. Post-2008 regulatory efforts are therefore aimed at identifying systemic risk before it unravels.

The desire to identify the origins and nature of risks is as old as finance itself. 6 In his widely cited 1982 article , Fischer Black distinguished between the risks of complex instruments and the trades that reduce those risks—“hedges.”7 But less widely cited is his conviction that financial models, such as the capital asset pricing model (CAPM), are frequently not equipped to separate these risks.89

The same argument could be made for identifying systemic risk.10 To monitor systemic risk, the Fed and other regulators use central clearing, capital standards, and stress-testing. However, these practices are imperfect diagnostic tools. Indeed, clearinghouses may have become the single most significant weakness of the new financial architecture. In order to reduce credit risk and monitor systemic risk, clearinghouses ensure swaps by serving as a buyer to every seller and a seller to every buyer. However, they generally require a high degree of standardization, a process that remains poorly defined in practice. Done correctly, the focus on clearing standardized products will reduce risk; done incorrectly, it may concentrate risks and make them systemic. Standardization can undermine effective risk management if it constrains the ability of investors to modify derivatives to reflect their particular activities.

Regulators also require the banks, including the dealer banks, to hold more capital. A capital requirement is the amount of capital a bank or another financial institution has to have according to its financial regulator. To capture capital requirement, most macroeconomic models abstract from liquidity to focus on solvency. Solvency risk is the risk that the business cannot meet its financial obligations for full value even after disposal of its capital. The models assert that as long as the assets are worth more than liabilities, firms should survive. The abstraction from liquidity risk means that by design, macroeconomic models cannot capture “cash flow mismatch,” which is at the heart of financial theories of risk management. This mismatch arises when the cash flows needed to settle liabilities are not equal to the timing of the assets’ cash flows.

The other tool that the Fed uses to monitor systemic risk regularly is macroprudential stress-testing. The Comprehensive Capital Analysis and Review (CCAR) is an annual exercise by the Fed to assess whether the largest bank holding companies have enough capital to continue operations during financial stress. The test also evaluates whether banks can account for their unique risks. However, regulatory stress testing practice is an imperfect tool. Most importantly, these tests abstract away from over-the-counter derivatives—minimally regulated financial contracts among dealer banks— that might contribute to systemic risk. Alternatively, the testing frameworks may not capture network interconnections until it is too late.

The experience of the 2008 financial crisis has revealed the ways in which our current financial infrastructure departs from our theorization of it in textbooks. It also reveals that the analytical and diagnostic tools available to us are inadequate to identifying systemic risk. The Fed’s current tools reflect its activities as the “financial regulator.” But at present, the Fed lacks tools based on its role as lender of last resort, which would enable it to manage the risk rather than imperfectly monitor it. In the following sections, I examine the importance, and economics, of derivatives dealers in managing financial markets’ risks, and propose a tool that extends the Fed’s credit facilities to derivatives dealers during a crisis.

Derivatives Dealers: The Risk Managers of First and Last Resort

Over the course of seventeen years, Bernie Madoff defrauded thousands of investors out of tens of billions of dollars. In a Shakespearean twist, the SEC started to investigate Madoff in 2009 after his sons told the authorities that their father had confessed that his asset management was a massive Ponzi scheme. Madoff pleaded guilty to 11 federal felony counts, including securities fraud and money laundering.

Bernie Madoff paints a dire portrait of the market making in securities. In world of shadow banking, derivatives dealers are the risk managers of first resort. They make the market in hedging derivatives and determine the hedging costs. Like every other dealer, their capacity to trade depends on their ability to access funding liquidity. Unlike most other dealers, there is no room for them in the Fed’s rescue packages during a financial crisis.

Derivatives dealers are at the heart of the financial risk supply chain for two reasons: they determine the cost of hedging, and they act as counterparties to firms’ hedging programs.11 Hedgers use financial derivatives briefly (until an opportunity for a similar reverse transaction arises) or in the long term. In identifying an efficient hedging instrument, they consider liquiditycost, and correlation to market movements of original risk. Derivatives connect the firms’ ability and willingness to manage risk with the derivatives dealers’ financial condition. In particular, dealers’ continuous access to liquidity enables them to act as counterparties. As intermediaries in risk, dealers use their balance sheets and transfer the risks from risk-averse investors to those with flexible risk appetite, looking for higher returns. In the absence of this intervention, risk-averse investors would neither be willing nor able to manage these risks.

This approach towards risk management concentrates risks in the balance sheets of the derivatives dealers.12 The derivative dealers’ job is to transfer them to the system’s ultimate risk holders. In a typical market-based financial system, investment banks purchase capital market assets, such as mortgage-backed securities (MBS). These hedgers are typically risk-averse and use financial derivatives such as Interest Rate Swaps (IRS), Foreign exchange Swaps (FXS), and Credit Default Swaps (CDS). These derivatives’ primary purpose is to price, or even sell, risks separately and isolate the sources of risk from the underlying assets. Asset managers, who look for higher returns and therefore have a more flexible risk tolerance, hold these derivatives. It is derivatives dealers’ job to make the market in instruments such as CDS, FXS, and IRS. In the process, they provide liquidity and set the price of risk. They also determine the risk-premium for the underlying assets. Crucially, by acting as intermediaries, derivatives dealers tend to absorb the unwanted risks in their own balance sheets.

During a credit crunch, derivatives dealers’ access to funding is limited, making it costly to finance inventories. At the same time, their cash inflow is usually interrupted, and their cash outflow comes to exceed it.13 There are two ways in which they can respond: either they stop acting as intermediaries, or they manage their cash flow by increasing “insurance” premiums, pushing up hedging costs exactly when risk management is most needed. Both of these ultimately transmit the effects to the rest of the financial market. Higher risk premiums which lower the value of underlying assets could lead to a system-wide credit contraction. In the money market, a sudden disruption in the derivatives market would raise the risk premium, impair collateral prices, and increase funding costs.

The increase in risk premium also disrupts the payment system. Derivatives are “mark-to-market,” so if asset prices fall, investors make regular payments to the derivative dealers who transfer them to ultimate risk holders. A system-wide credit contraction might make it very difficult for some investors to make those payments. This faulty circuit continues even if the Fed injects an unprecedented level of liquidity into the system and pursues significant asset purchasing programs. The under-examined hybridity between the market for assets and the market for risks make derivatives markets the Fed’s concern. There will not be a stable capital valuation in the absence of a continuous risk transfer. In other words, the transfer of collateral, used as the mean of payments, depends on the conditions of both the money market and derivatives dealers.

Understanding Financial Assets as Collateral

Maintaining the integrity of the payment system is one of the oldest responsibilities of central bankers. In order to do this effectively, we should recognize financial assets for what they actually do, rather than what economists think they ought to do. Most macroeconomists categorize financial assets primarily as storers of value. But in modern finance, investors want to hold financial assets that can be traded without excessive loss. In other words, they use financial assets as “collaterals” to access credit. Wall Street treats financial assets not as long-term investment vehicles but as short-term trading instruments.

Contemporary financial assets also serve new economic functions. Contrary to the present and fundamental value doctrines, a financial asset today is not valuable in and of itself. Just like any form of money, it is valuable because it passes on. Contemporary financial assets are therefore the backbone of a well-functioning payment system.

The critical point is that in market-based finance, the collateral’s market value plays a crucial role in financial stability. This market value is determined by the value of the asset and the price of underlying risks. The Fed has already embraced its dealer of last resort role partially to support the cost of diverse assets such as asset-backed securities, commercial papers, and municipal bonds. However, it has not yet offered any support for backstopping the price of derivatives. In other words, while the Fed has provided support for most non-bank intermediaries, it overlooked the liquidity conditions in the derivatives market. The point of such intervention is not so much to eliminate the risk from the market. Instead, the goal is to prevent a liquidity spiral from destabilizing the price of assets and, consequently, undermining their use as collateral in the market-based credit.

In 2008, AIG was the world’s largest insurance company and a bank owner. Its insurance business and bank subsidiary made it one of the largest derivatives dealers. It had written billions of dollars of credit default swaps (CDSs), which guaranteed buyers in case some of the bonds they owned went into default. The goal was to ensure that the owner of the swap would be paid whole. Some investors who owned the bonds of Lehman had bought the CDSs to minimize the loss if Lehman defaulted on its bonds. The day after Lehman failed, the Fed lent $85 billion to AIG, stabilizing it and containing the crisis. However, this decision was due to the company’s importance in markets for municipal bonds, commercial papers, and money market mutual funds. If it was not unwilling to do the same for derivatives dealers, it may not be able to alleviate near-term risks generated from the systemic losses on derivatives.

After the COVID-19 pandemic, the Fed extended credit facilities to critical financial intermediaries, but excluded market makers in risk. But in a financialized economy, the business cycle is nothing more than extreme corrections to the price of capital. Before a crash, investors’ risk tolerance becomes flexible—they ignore the possibility for market corrections or rapid changes in an asset’s market price after the establishment of an equilibrium price. As a result of this bias, investors’ expectations of asset prices form more slowly than actual changes in asset prices. Hedging would save these biased investors, and if done appropriately, they could help stabilize the business cycle. However, the Fed has no formal tool that enables it to support derivatives dealers in providing hedging services. It cannot act as the “ultimate” risk manager in the system.

The Dealer Option: Connecting the Fed with the Ultimate Risk Managers

Charles Kindleberger argued that financial crises cannot be stopped, but only contained. The dealer option proposed in this paper would enable the Fed to control the supply chain of risk.14 It extends credit facilities to a specific type of financial intermediaries: options dealers. This extension does not include financial speculators of various stripes and nonfinancial corporations—the so-called “end-users” of derivatives—seeking to hedge commercial risks. The options dealers’ importance comes from their paradoxical effects on financial stability. Since Dodd-Frank increased firms’ capital cost in favor of risk mitigation techniques like hedging, these companies are crucial to policy because they buy protection from options dealers in centrally cleared markets.

The problem is that options dealers’ role as counterparty to hedging firms could create fragility and magnify the market risk.15 In equilibrium, the risk is transferred through the option supply chain to dealers, who are left with the ultimate task to manage their risk exposure using dynamic hedging techniques. The dynamic nature of these activities means options dealers contribute to daily volatility when they balance their exposures. During a crisis, these actions lead to increasing market fragility. The “dealer option” empowers the Fed to become the lender of last resort to the financial system’s ultimate risk managers. This instrument extends many benefits that banks receive by having an account at the Fed to these dealers. Some of these benefits include having access to reserves, receiving interest on reserves, and in very desperate times, access to the Fed’s liquidity facilities. The goal is to strike a balance between the fragility and stability they impose on the market.16

Containing liquidity risk is at the heart of the dealer option. The daily cash flow that the options contracts generate could contribute to asset fire sales during a crisis—options contracts are subject to mark-to-market rules, and fluctuations in the value of assets that dealers hold generate daily cash flows. If dealers do not have enough liquidity to make daily payments, known as margin calls, they will sell the underlying assets. Asset fire sales might also arise because most market makers have an institutional mandate to hedge their positions by the end of the trading day. Depending on the price changes, the hedging activities require dealers to buy or sell the underlying asset. Most dealers hedge by selling shares of the underlying asset if the underlying asset’s value drops, potentially giving rise to firesale momentum. Limited market liquidity during a crisis means that the possibility of firesale is larger when dealers do not have enough liquidity to meet their cash flow requirements. The dealer option could stop this cycle. In this structure, the Fed’s function to provide backstops for derivatives dealers can reduce firesales’ risk and contain market fragility during a credit crunch.

The tool is based on Perry Mehrling’s Money View framework, Morgan Ricks, John Crawford, and Lev Menand’s Public Option proposal, and Katharina Pistor’s Legal Theory of Finance (LTF). The public option suggests opening the Fed’s balance sheet to non-banks and the public. On the other hand, the Money View emphasizes the importance of managing the timing of cash flows and calls any mismatches liquidity risk. Like the Finance view of the world, the Money View asserts that the goal is to meet “survival constraints” at all times.

The LTF builds on the Money View through four essential premises: first, financial markets are a rule-bound system17; The more an entity solidifies its position within the marketplace, the higher the government’s level of responsibility. Second, there is an essential hybridity between states and markets; in a financial crisis, only Fed’s balance sheet—with its unlimited access to high-powered money—can guarantee full convertibility from financial assets into currency. Third, the law is what makes enforcement of financial instruments possible. On the other hand, these enforcements also have the capacity to bring the financial system down. Finally, LTF law is elastic, meaning that legal constraints can be relaxed or tightened depending on the economy’s health.

Calling the Fed to intervene in the derivatives market, the “dealer option” emphasizes the financial system’s hybridity. The law does not currently require central banks to offer convertibility to most assets. In most cases, they are explicitly barred from doing so. Legal restrictions like this could be preventing effective policy options from restoring financial stability. The dealer option would defy such restrictions and allow derivatives dealers to have an account at the Fed. The Fed’s traditional indirect backstopping channel has proven to be inadequate during most financial crises. Banks tend to reduce or sometimes cease their liquidity provision during a crisis. Accounting for such shifts in banks’ business models, the dealer option allows the Fed to directly backstop the leading players in the supply chain of risk. Importantly, these benefits would only be accessible for derivatives dealers once a recession is looming or already in full effect, when unconventional monetary policy tools are used.

Whether a lender of last resort should provide liquidity to forestall panic has been debated for more than two hundred years. Those who oppose the provision of liquidity from a lender of last resort argue that the knowledge that such credits will be available encourages speculation. Those who want a lender of last resort worry more about coping with the current crisis and reducing the likelihood that a liquidity crisis will cascade into a solvency crisis and trigger a severe recession. After the 2008 crisis, the use of derivatives for hedging has greatly increased due to the growing emphasis on risk management. Solvency II, Dodd-Frank, and the EMIR Risk Mitigation Regulation increased the cost of capital in favor of risk mitigation techniques, including hedging and reducing counterparty risk. The risk is transferred over the option supply chain to market makers, who are left with the ultimate task to manage their risk exposure. The dealer option offers liquidity to these dealers during a crisis when the imbalances are huge. Currently, there is no lender of last resort for the market for risk because there is neither a consensus about the systemic importance of shadow banking nor any model adequately equipped to distinguish between hedge finance, speculative finance, and Ponzi finance.

Shadow banking has three foundations: liquid assets, global dollar funding, and risk management. So far, the Fed has left the last foundation unattended. In order to design tools that fill the void between risk management and crisis prevention, we must understand the financial ecosystem as it really is, and not as we want it to be.

Elham Saeidinezhad is lecturer in Economics at UCLA. Before joining the Economics Department at UCLA, she was a research economist in International Finance and Macroeconomics research group at Milken Institute, Santa Monica, where she investigated the post-crisis structural changes in the capital market as a result of macroprudential regulations. Before that, she was a postdoctoral fellow at INET, working closely with Prof. Perry Mehrling and studying his “Money View”.  Elham obtained her Ph.D. from the University of Sheffield, UK, in empirical Macroeconomics in 2013. You may contact Elham via the Young Scholars Directory


  1. Saeidinezhad, E., 2020. “When it Comes to Market Liquidity, What if Private Dealing System is Not ‘The Only Game in Town’ Anymore? (Part I).” Available at: http://elhamsaeidinezhad.com  
  2. Stigum, M., 2007. Stigum’s Money Market. McGraw-Hill Professional Publishing  
  3. Saeidinezhad, E., 2020. “When it Comes to Market Liquidity, What if Private Dealing System is Not ‘The Only Game in Town’ Anymore? (Part II).” Available at: http://elhamsaeidinezhad.com 
  4. Minsky, Hyman P. 1986. Stabilizing an unstable economy. New Haven: Yale University Press. 
  5. Mian, A, and Sufi, A., 2010. “The Great Recession: Lessons fromMicroeconomic Data.” American Economic Review, 100 (2): 51-56.  
  6. Mehrling, P., 2011. Fischer Black and the Revolutionary Idea of Finance. Wiley Publications; ISBN: 978-1-118-20356-9  
  7. Black, F., 1982. “General Equilibrium and Business Cycles.” NBER Working Paper No. w0950.  
  8. Scholes, M. S., 1995. “Fischer Black. Journal of Finance,” American Finance Association, vol. 50(5), pages 1359-1370, December.  
  9. Black, F., 1989. “Equilibrium Exchange Rate Hedging.” NBER Working Paper No. w2947.  
  10. Schwarcz, S., 2008. “Identifying and Managing Systemic Risk: An Assessment of Our Progress.” Harvard Business Law Review.  
  11. Canadian Derivatives Institute., 2018. “Corporate Hedging During the Financial Crisis.” Working paper; WP 18-04.  
  12. Wayne, G and Kothar, S. P., 2003. “How Much Do Firms Hedge With Derivatives?” Journal of Financial Economics 70 (2003) 423–461  
  13. Gary, G., and Metrick, A., 2012. “Securitized Banking and the Run on Repo.” Journal of Financial Economics, Volume 104, Issue 3, Pages 425-451, ISSN 0304-405X. 
  14. Aliber, Robert Z., and Kindleberger, C., 2011. Manias, Panics, and Crashes: a History of Financial Crises. New York: Palgrave Macmillan 
  15. Barbon, A., and Buraschi, A., 2020. “Gamma Fragility.” The University of St.Gallen, School of Finance Research Paper No. 2020/05.  
  16. Mehrling, P., 2011. The New Lombard Street: How the Fed Became the Dealer of Last Resort. Princeton; Oxford: Princeton University Press.  
  17. Pistor, K. 2013a. “Law in Finance, Journal of Comparative Economics,” Elsevier, vol. 41(2), pages 311-314. 

Minsky is more than a moment

After the Great Financial Crisis, Minsky rose to fame. But few people grasp the breadth and depth of his work beyond the “Minsky Moment”.  If that’s you, Daniel Neilson’s recent book is a worthy read. By Ayoze Alfageme.

A decade after the Great Financial Crisis, Minsky presents a meticulous reconstruction of Hyman Minsky‘s lifework that goes well beyond the mere explanation of financial bubble bursts. Indeed, Neilson devotes only a few pages to what Minsky is best known for—his Financial Instability Hypothesis. The reason is not for its lack of relevance within Minsky’s theory, but because the author places it as one piece of an overall financial theory of capitalism that he painstakingly elaborates in a mere 150 pages. Presenting Minsky’s ideas in a comprehensive and exhaustive way is not an easy task, given that he worked out his thinking by sketching his theory piecemeal in various places as he witnessed history pass by. Thus, the author elaborates three different threads through which he deconstructs Minsky’s work into elements to be then reconstructed and presented as a thorough vision of capitalism. 

A financial theory of capitalism

The first thread comprises four out of eight chapters of the book and deals with Minsky’s financial theory. In modern societies, a matrix of balance sheets connects all agents via debt and credit commitments—assets and liabilities—that have arisen from past payment decisions. Minsky shows that payment structure, intrinsic to capitalist societies, is prone to recurrent crises due to the imperative requirement to repay debts. This requirement, or ‘survival constraint’ as Minsky termed it, forces everyone to generate greater monetary inflows than outflows. When debts come due, debtors search for a liquid position that allows them to redeem their debts using money or, as Minsky said, whatever the lender will accept to write off the debt. Position making is the action through which assets and/or liabilities are sold if a unit is illiquid and in need of cash. The famous hedge, speculative, and Ponzi positions are nothing more than a form of position making—a search for liquidity. A crisis might be triggered by the effect upon other units of a unit’s inability to pay i.e. to find liquidity. A widespread financial crisis unfolds when the market for position making for liquidity comes to a halt. At this point, the role of the central bank is to step in as a lender of last resort—the market maker of last resort—that can blow liquidity into the system as its only initiative. 

The making of a maverick economist

The second thread, interwoven with the first, narrates Minsky’s path to becoming the economist he was. For example, we learn from Henry Simons, his professor in Chicago, how Minsky adopted a practical outlook view of Simon’s view on the requirement to pay debts and how he added the theoretical and institutional issues of liquidity to Schumpeter and Keynes’ monetary theory of production. In Neilson’s account, liquidity is at the core of Minsky’s financial theory. Minsky’s considerations about liquidity, uncertainty, and time, stand as the main divergences between his approach and that of the mainstream.

The third and final thread of the book deals with the position Minsky took towards the rest of the economist profession, disentangling the contradictions between the two. In need of a new language through which he could express the knowledge he wanted to convey, Minsky found himself at the margins of the profession and in conscious opposition to the mainstream. Interestingly, the book also reveals how even interpretations by those who, as post-Keynesians of different strands claiming to Minsky’s insights, sometimes fail to understand his core contributions. 

Throughout the book, Neilson successfully presents Minsky’s theory and policy and the intellectual challenges he faced during his career as an economist. The book also encompasses his Ph.D. thesis, the writing of his two books—John Maynard Keynes and Stabilizing an Unstable Economy—his collaborations with the financial sector, his financial analyses for the public sector, as well as the economic and financial crises he witnessed and eagerly strove to analyze. Overall, the author conveys, with a dash of critical insights of his own, what he and his professor, Perry Mehrling, consider to be the most important thing we can learn from Minsky: his vision of how financial capitalism works


Buy the book: Minsky. By Daniel H. Neilson. Polity Press: Cambridge, 2019. 224 pages, £16.99.

About the Author: Ayoze is teaching assistant and PhD candidate at the University of Geneva. Twitter: @_Ayoze_

Want to review a book you read? YSI will reimburse you for the price of the book, and will consider your piece for publication on Economic Questions. Reach out to contact@economicquestions.org to get started.

This article was originally posted in Economic Issues, Vol. 25, Part 1, 2020.
Access here.

Can’t talk right now, I’m transferring energy.

You work all the time. But what is work, really? And how has that changed? In Work: A Deep History, from the Stone Age to the Age of Robots, anthropologist James Suzman digs into these questions. But whether he realizes it or not, he leaves an even bigger one to us.

The future of work is a hot topic. Automation, climate, and inequality make us wonder what’s coming down the pipe, and how to prepare. We might have to change how work works by decoupling labor from pay… difficult questions. But one thing is clear: if we are to change our conception of work, it will help to understand the one we have.

So what’s work, really?

Suzman starts at the beginning—3.5 Billion years ago. Because at its essence, he argues, work is not whatever you get paid for. It is a transfer of energy

Thanks to the law of entropy, he explains, everything in the universe tends to chaos. Life forms impose some kind of order, but creating and maintaining that order takes energy. It requires work to grow leaves or make honey or build a house. So yes, even bacteria and trees do work, despite the fact that they don’t have thoughts about it.

So, Suzman posits that the act of work has been around for a long time, but the idea of work is newer. He explains that our mastery over fire was a likely catalyst. In reducing the energy required to survive, fire gave us leisure. And that might have helped us conceive of its counterpart: work.

How has it changed?

With that energy-definition in place, Suzman talks us through work’s cultural evolution. We start with hunter gatherers: there’s a Kalahari desert tribe who still hunt large animals by chasing them down on foot, just like back in the day. They run until the animal is so dehydrated that it lays down and awaits their spear.

He points out that although such hunts are exhausting, the tribe is lounging most of the time. They conceive of the world as abundant, and have no concept of private property. You only worry about your immediate needs, which are almost always met.

With the arrival of agriculture, that’s what we lost. Because Suzman suspects that the first food surpluses also introduced the concept of scarcity. Once you have a pile of crops, that pile—unlike nature—starts and ends somewhere. And it can be said to belong to somebody.

So farming ushered in modern economics. We started thinking everything was scarce, and inequalities increased. At the same time, farmers had to wait for their crop to mature and thus needed to live on credit for much of the year. So by keeping a record of their debt we created—you guessed it—money.

After that it’s domesticated animals, machines, cities, and the industrial revolution, causing living standards to rise. Working hours rose, then fell, then rose again. Suzman takes us past Luddites, the Great Depression, JK Galbraith, and the War on Talent, all the way until the present where we continue to work a lot while AI seems to breathe down our neck.

As he sends us off, Suzman admits that we can’t go back to hunter-gathering, but hopes that we take inspiration from the tribes and broaden our understanding of work. He reminds us that scarcity and limitless needs are not inevitable truths, nor are they necessary assumptions. These are fantastic points and his detailed evolution of work is very insightful. But it’s missing a piece.

Now for the biggest question

Imagine that you decide to clean up your room, and you call Suzman in to help. He comes over and finds all kinds of junk drawers you didn’t even realize you had, and he spreads the contents all over your living room floor. Then he leaves.

He helped with a crucial step. To reorganize something, you need to know what you’ve got, and identify all the items. But to put them in a better place, you need to know what they’re for. Why did you buy the things you own? And what’s your purpose in rearranging?

To put it bluntly, Work falls short on the question of why. It’s a big book about what we’ve been doing, without much to say about what we do it for. 

To be fair, there are occasions where motives are discussed. One is when he points to a rare bird that builds very elaborate nests only to break them apart and all start over again. Similarly, some people run ultramarathons. Darwin’s survival of the fittest can’t explain it, Suzman says, so it’s probably a way to get rid of energy surpluses. 

I can’t explain the bird either. But ask any ultramarathon-runner, and I bet they’ll tell you they did it because it was a meaningful experience—not because they were sitting on the couch bouncing up and down and only 31 miles would do the trick.

The second occasion is consumer culture. Suzman cites Galbraith who points to the way advertisers exploit our relative needs, making us want to work more to buy more. This undoubtedly plays a role. And to state the obvious, many of those less affluent will do any work that can help them survive.

But is that it?

Consider your own case

Why do you do the job you have? Is it the easiest way to survive? Is it a means to get rid of surplus energy?  I doubt it. The right kind of work GIVES you energy. How does it do that? Because it’s meaningful. Why is it meaningful? Because you are able to contribute something. You are able to make a change. You are fulfilling a purpose you set for yourself. So these are the questions to ask: What’s the work out there that we think needs doing? What should work be for?

Perhaps Suzman didn’t get to these questions because there wasn’t much room for them in the past. In that case, fair enough. It may be that today’s circumstances of relative affluence and increasing levels of automation give them real relevance only now. But if we want a concept of work that we can carry forward, we can’t let ‘em drop.

And Suzman will be happy to know that there are plenty of young economists ready to do away with the assumptions of scarcity and limitless needs. But doing away with things is not enough. We need to introduce some new stuff too. And if you’re asking me, that new stuff is meaning

Now if you’ll excuse me, I’ve got some work to do •

About the Author: Heske van Doornen is Manager of the Young Scholars Initiative and co-founder of this blog. Twitter: @HeskevanDoornen

Buy the Book
Work: A Deep History, from the Stone Age to the Age of Robots Book
By James Suzman | Penguin Press (2021)


Want to review a book you read? YSI will reimburse you for the price of the book, and will consider your piece for publication on Economic Questions. Reach out to contact@economicquestions.org to get started.

Imagination is a serious matter—economists can’t do without it anymore.

It seems only realistic to say that we’re doomed. We can no longer picture things turning out okay, and that’s the very problem. In From What Is to What If, Rob Hopkins argues that until we can imagine a bright future, it is very hard to build one.


What does this mean for us as economists?

Hopkins explains how imagination got lost, how we could get it back, and why doing so is crucial. He encourages ordinary citizens to stop waiting on think tanks and governments to lead the transition to a sustainable future. We should open ourselves to play, to the arts, and to storytelling as pathways to regain a sense of possibility. We’ll be surprised, he says, how much easier things are to execute once they’ve been imagined vividly.

If you’re a very pragmatic, data-driven person, reading Hopkins may feel like you’re being pulled onto a dance floor against your will. But there’s a lot to learn from him, especially for us economists, since our imaginations face unusually strong opposition.

The situation

Hopkins finds that with less and less time for play, children lose their imagination quicker and quicker. “They knew what a fronted adverbial noun was,” a secondary school teacher tells him, “but when I set them a task to write a story, they broke down and cried.” And if schooling makes the first blow to a child’s imagination, smartphones make the next. By taking away our opportunity to be bored, our minds have no time to ponder. Adulthood doesn’t make things easier. At that stage, we’re meant to be productive. Arts, play, and improvisation are considered frivolous, silly, and completely unhelpful to the growth-maximizing system we’ve built. 

For me, it’s a message that hits home. Living in fast-paced New York City, I often fell into the trap of doing increasing levels of busywork. I’d be patting myself on the back for how much I’m getting done, while slowly eroding my ability to contribute new insights and fresh perspectives. Allowing for quiet time and idleness seemed almost sinful. Until I finally noticed how many ideas I was getting in the bathtub. We’re all afraid of robots catching up to us, but if we’re not careful, we might reduce ourselves to their level first.

Hopkins’ solution

The good news is that our imagination, once lost, can be found again. Hopkins cites numerous examples of communities that have gathered to reignite their imagination and visualize how a sustainable future could look. Just one afternoon with cardboard and chalk and conversation already proved transformative. It also brought back a sense of possibility. And once people had imagined their street corner to contain an herb garden, they never looked at it the same way. Oftentimes, they found themselves making it a reality; surprised at the things that had seemed impossible but weren’t. 

Of course, the power of local communities remains limited by the overarching powers and structures of the state. Hopkins acknowledges that readily. Therefore, he points out that extractive systems—such as towns that are centered around an Amazon fulfillment center—crush the imagination. Better to keep revenue streams local, allowing people to enjoy the fruits of their own labor, and to shape local economies according to local needs. UBI also gets a mention, for being able to maintain a standard of living. After all, it’s hard to be imaginative if you’re just trying to survive.

Imagination for Economists

So, what does imagination for economists mean for us as new economic thinkers? Hopkins might not even realize. However, if there’s any place where imagination gets crushed, it’s in the economics textbook. Students who are keen to improve the economy for the better are told that it’s not an economist’s job to “save the world”. Instead, it’s economists’ job to develop objective scientific tools that can be used by whoever else wants to save the world. As if we’re doing physics. Which we’re not.

This way, mainstream economics presents a real problem for anyone trying to put this advice to work.

Whatever imagination will be reignited, economists will stand ready to crush as unrealistic, and naive. So, those with vivid imaginations might want to set the ‘objective’ tools aside and follow Hopkins’ lead for some time. However, most economists will declare that if you’re not using their favorite method, it’s not economics, and therefore not worth taking very seriously.

However, as the next generation of economists, we can help each other. We can also nourish our imaginations, and encourage our peers to do the same. We can talk about how it could feel to trust your bank, and what would be required for that to be the case. Moreover, we can picture how we’d like to grow old, and think backward for what that might necessitate. We can draw images of the public infrastructure we’d want, and see what it would require to build. Furthermore, we can reassure each other that by doing all that, we’re doing economics. 

So, let’s use not just our data, our mathematics, and our analysis. Let’s also use our imagination. Because once we collectively imagine the economy we want, half our work will be done.

About the Author | Heske van Doornen is Manager of the Young Scholars Initiative and co-founder of this blog. Twitter: @HeskevanDoornen

Buy the Book | From What Is to What If: Unleashing the power of imagination to create the future we want by Rob Hopkins, Chelsea Green Publishing (2020) 


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