Who has access to cheap credit? And who does not? Compared to small businesses and households, global banks disproportionately benefited from the Fed’s liquidity provision measures. Yet, this distributional issue at the heart of the liquidity provision programs is excluded from analyzing the recession-fighting measures’ distributional footprints. After the great financial crisis (GFC) and the Covid-19 pandemic, the Fed’s focus has been on the asset purchasing programs and their impacts on the “real variables” such as wealth. The concern has been whether the asset-purchasing measures have benefited the wealthy disproportionately by boosting asset prices. Yet, the Fed seems unconcerned about the unequal distribution of cheap credits and the impacts of its “liquidity facilities.” Such oversight is paradoxical. On the one hand, the Fed is increasing its effort to tackle the rising inequality resulting from its unconventional schemes. On the other hand, its liquidity facilities are being directed towards shadow banking rather than short-term consumers loans. A concerned Fed about inequality should monitor the distributional footprints of their policies on access to cheap debt rather than wealth accumulation.
Dismissing the effects of unequal access to cheap credit on inequality is not an intellectual mishap. Instead, it has its root in an old idea in monetary economics- the quantity theory of money– that asserts money is neutral. According to monetary neutrality, money, and credit, that cover the daily cash-flow commitments are veils. In search of the “veil of money,” the quantity theory takes two necessary steps: first, it disregards the payment systems as mere plumbing behind the transactions in the real economy. Second, the quantity theory proposes the policymakers disregard the availability of money and credit as a consideration in the design of the monetary policy. After all, it is financial intermediaries’ job to provide credit to the rest of the economy. Instead, monetary policy should be concerned with real targets, such as inflation and unemployment.
Nonetheless, the reality of the financial markets makes the Fed anxious about the liquidity spiral. In these times, the Fed follows the spirit of Walter Bagehot’s “lender of last resort” doctrine and facilitates cheap credits to intermediaries. When designing such measures, the Fed’s concern is to encourage financial intermediaries to continue the “flow of funds” from the surplus agents, including the Fed, to the deficit units. The idea is that the intermediaries’ balance sheets will absorb any mismatch between the demand-supply of credit. Whenever there is a mismatch, a financial intermediary, traditionally a bank, should be persuaded to give up “current” cash for a mere promise of “future” cash. The Fed’s power of persuasion lies in the generosity of its liquidity programs.
The Fed’s hyperfocus on restoring intermediaries’ lending initiatives during crises deviates its attention from asking the fundamental question of “whom these intermediaries really lend to?” The problem is that for both banks and non-bank financial intermediaries, lending to the real economy has become a side business rather than a primary concern. In terms of non-bank intermediaries, such as MMFs, most short-term funding is directed towards shadow banking businesses of the global banks. Banks, the traditional financial intermediaries, in return, use the unsecured, short-term liquidity to finance their near-risk-free arbitrage positions. In other words, when it comes to the “type” of borrowers that the financial intermediaries fund, households, and small-and-medium businesses are considered trivial and unprofitable. As a result, most of the funding goes to the large banks’ lucrative shadow banking activities. The Fed unrealistically relies on financial intermediaries to provide cheap and equitable credit to the economy. In this hypothetical world, consumers’ liquidity requirements should be resolved within the banking system.
This trust in financial intermediation partially explains the tendency to overlook the equitability of access to cheap credit. But it is only part of the story. Another factor behind such an intellectual bias is the economists’ anxiety about the “value of money” in the long run. When it comes to the design of monetary policy, the quantity theory is obsessed by the notion that the only aim of monetary theory is to explain those phenomena which cause the value of money to alter. This tension has crept inside of modern financial theories. On the one hand, unlike quantity theory, modern finance recognizes credit as an indispensable aspect of finance. But, on the other hand, in line with the quantity theory’s spirit, the models’ main concern is “value.”
The modern problem has shifted from explaining any “general value” of money to how and when access to money changes the “market value” of financial assets and their issuers’ balance sheets. However, these models only favor a specific type of agent. In this Wicksellian world, adopted by the Fed, agents’ access to cheap credit is essential only if their default could undermine asset prices. Otherwise, their credit conditions will be systemically inconsequential, hence neutral. By definition, such an agent can only be an “institutional” investor who’s big enough so that its financial status has systemic importance. Households and small- and medium businesses are not qualified to enter this financial world. The retail depositors’ omission from the financial models is not a glitch but a byproduct of mainstream monetary economics.
The point to emphasize is that the Fed’s models are inherently neutral about the distributional impacts of credit. They are built on the idea that despite retail credit’s significance for retail payment systems, their impacts on the economic transactions are insignificant. This is because the extent of retail credit availability does not affect real variables, including output and employment, as the demand for this “type” of credit will have proportional effects on all prices stated in money terms. On the contrary, wholesale credit underpin inequality as it changes the income and wealth accumulated over time and determines real economic activities.
The macroeconomic models encourage central bankers to neglect any conditions under which money is neutral. The growing focus on inequality in the economic debate has gone hand in hand to change perspective in macroeconomic modeling. Notably, recent research has moved away from macroeconomic models based on a single representative agent. Instead, it has focused on frameworks incorporating heterogeneity in skills or wealth among households. The idea is that this shift should allow researchers to explore how macroeconomic shocks and stabilization policies affect inequality.
The issue is that most changes to macroeconomic modeling are cosmetical rather than fundamental. Despite the developments, the models still examine inequality through income and wealth disparity rather than equitable access to cheap funding. For small businesses and non-rich consumers, the models identify wealth as negligible. Nonetheless, they assume the consumption is sensitive to income changes, and consumers react little to changes in the credit conditions and interest rates. Thus, in these models, traditional policy prescriptions change to target inequality only when household wealth changes.
At the heart of the hesitation to seriously examine distributional impacts of equitable access to credit is the economists’ understanding that access to credit is only necessary for the day-to-day operation of the payments system. Credit does not change the level of income and wealth. In these theories, the central concern has always been, and is, solvency rather than liquidity. In doing so, these models dismiss the reality that an agent’s liquidity problems, if not financed on time and at a reasonable price, could lead to liquidations of assets and hence insolvency. In other words, retail units’ access to credit daily affects not only the retail payments system but also the units’ financial wealth. Even from the mainstream perspective, a change in wealth level would influence the level of inequality. Furthermore, as the economy is a system of interlocking balance sheets in which individuals depend on one another’s promises to pay (financial assets), their access to funding also determines the financial wealth of those who depend on the validations of such cash commitments.
Such a misunderstanding about the link between credit accessibility and inequality is a natural byproduct of macroeconomic models that omit the payment systems and the daily cash flow requirement. Disregarding payment systems has produced spurious results about inequality. In these models, access to liquidity, and the smooth payment systems, is only a technicality, plumbing behind the monetary system, and has no “real” effects on the macroeconomy.
The point to emphasize is that everything about the payment system, and access to credit, is “real”: first, inthe economy as a whole, there is a pattern of cash flows emerging from the “real” side, production and consumption, and trade. A well-functioning financial market enables these cash flows to meet the cash commitments. Second, at any moment, problems of mismatch between cash flows and cash commitments show up as upward pressure on the short-term money market rate of interest, another “real” variable.
The nature of funding is evolving, and central banking is catching up. The central question is whether actual cash flows are enough to cover the promised cash commitments at any moment in time. For such conditions to be fulfilled, consumers’ access to credit is required. Otherwise, the option is to liquidate accumulations of assets and a reduction in their wealth. The point to emphasize is that those whose access to credit is denied are the ones who have to borrow no matter what it costs. Such inconsistencies show up in the money market where people unable to make payments from their current cash flow face the problem of raising cash, either by borrowing from the credit market or liquidating their assets.
The result of all this pushing and pulling is the change in the value of financial wealth, and therefore inequality. Regarding the distributional effects of monetary policy, central bankers should be concerned about the effects of monetary policy on unequal access to credit in addition to the income and wealth distribution. The survival constraint, i.e., agents’ liquidity requirements to meet their cash commitments, must be met today and at every moment in the future.
To sum up, in this piece, I revisited the basics of monetary economics and draw lessons that concern the connection between inequality, credit, and central banking. Previously, I wroteabout the far-reaching developments in financial intermediation, where non-banks, rather than banks, have become the primary distributors of credit to the real economy. However, what is still missing is the distributional effects of the credit provision rather than asset purchasing programs. The Fed tends to overlook a “distributional” issue at the heart of the credit provision process. Such an omission is the byproduct of the traditional theories that suggest money and credit are neutral. The traditional theories also assert that the payment system is a veil and should not be considered in the design of the monetary policy. To correct the course of monetary policy, the Fed has to target the recipients of credit rather than its providers explicitly. In this sense, my analysis is squarely in the tradition of what Schumpeter (1954) called “monetary analysis” and Mehrling (2013) called “Money View” – the presumption that money is not a veil and that understanding how it functions is necessary to understand how the economy works.
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