Economic analysis is often geared toward understanding the average effects of a given policy or program. Likewise, economic policies frequently target the average person or firm. While averages are undoubtedly useful reference points for researchers and policymakers, they don’t tell the whole story: it is vital to understand how the effects of economic trends and government policies vary across geographic, demographic, and socioeconomic boundaries. It is also important to assess the underlying causes of the various inequalities we observe around us, be they related to income, health, or any other set of indicators. Starting today, we are running a series of six blog posts (apart from this introductory post), each of which focuses on an interesting case of heterogeneity in the United States today.
Banks traditionally provide loans that are funded mostly by deposits and thereby create liquidity, which benefits the economy. However, since the loans are typically long-term and illiquid, whereas the deposits are short-term and liquid, this creation of liquidity entails risk for the bank because of the possibility that depositors may “run” (that is, withdraw their deposits on short notice). To mitigate this risk, regulators implemented the liquidity coverage ratio (LCR) following the financial crisis of 2007-08, mandating banks to hold a buffer of liquid assets. A side effect of the regulation, however, is a reduction in liquidity creation by banks subject to LCR, as we find in our recent paper.