Using loan-level data covering two-thirds all C&I loans from U.S. banks, we document that SMEs (i) obtain much shorter maturity credit lines than large firms; (ii) have less active maturity management and therefore frequently have expiring credit; (iii) post more collateral on both credit lines and term loans; (iv) have higher utilization rates in normal times; and (v) pay higher spreads, even conditional on other firm characteristics. We present a theory of loan terms that rationalizes these facts as the equilibrium outcome of a trade-off between commitment and discretion. Finally, we test the model's prediction that small firms may be unable to access liquidity when large shocks arrive using data on drawdowns in the COVID recession. Consistent with the theory, the increase in bank credit in 2020Q1 and 2020Q2 came almost entirely from drawdowns by large firms on pre-committed lines of credit. We further show that large firms exhibited much higher sensitivity of drawdown rates to industry-level measures of exposure to the COVID recession than did small firms, suggesting that differences in demand for liquidity cannot fully explain the differences in observed drawdown rates across the firm size distribution. Finally, we show that recipients of PPP loans repaid existing credit lines in 2020Q2, suggesting that government-sponsored liquidity can overcome credit constraints.
We propose a three-step factor-flows simulation-based approach to forecast the duration distribution of unemployment. Step 1: estimate individual transition hazards across employment, temporary layoff, permanent layoff, quitter, entrant, and out of the labor force, with each hazard depending on an aggregate component as well as an individual's labor force history. Step 2: relate the aggregate components to the overall unemployment rate using a factor model. Step 3: combine the individual duration dependence, factor structure, and an auxiliary forecast of the unemployment rate to simulate a panel of individual labor force histories. Applying our approach to the July Blue Chip forecast of the COVID-19 recession, we project that 1.6 million workers laid off in April 2020 remain unemployed six months later. Total long-term unemployment rises thereafter and eventually reaches more 4.5 million individuals unemployed for more than 26 weeks and almost 2 million individuals unemployed for more than 46 weeks. Long-term unemployment rises even more in a more pessimistic recovery scenario, but remains below the level in the Great Recession due to a high amount of labor market churn.
The Greek economy experienced a boom until 2007, followed by a prolonged depression resulting in a 25 percent shortfall of GDP by 2016. Informed by a detailed analysis of macroeconomic patterns in Greece, we develop and estimate a rich dynamic general equilibrium model to assess quantitatively the sources of the boom and bust. Lower external demand for traded goods and contractionary fiscal policies account for the largest fraction of the Greek depression. A decline in total factor productivity, due primarily to lower factor utilization, substantially amplifies the depression. Given the significant adjustment of prices and wages observed throughout the cycle, a nominal devaluation would only have short-lived stabilizing effects. By contrast, shifting the burden of adjustment from taxes toward spending or from capital taxes toward other taxes would generate significant longer-term production and consumption gains.
We document the importance of covenant violations in transmitting bank health to nonfinancial firms using a new supervisory data set of bank loans. More than one-third of loans in our data breach a covenant during the 2008-09 period, providing lenders the opportunity to force a renegotiation of loan terms or to accelerate repayment. Lenders in worse health are less likely to grant a waiver and more likely to force a reduction in the loan commitment. Quantitatively, the reduction in credit to borrowers with long-term credit but who violate a covenant accounts for an 11\% decline in the volume of loans and commitments outstanding during the 2008-09 crisis, slightly larger than the total contraction in credit during that period. We conclude that the transmission of bank health to nonfinancial firms occurs largely through the loan covenant channel.
We construct a new dataset tracking the daily value of life insurers' assets at the security level. Outside of the 2008-09 crisis, a $1 drop in the market value of assets reduces an insurer's market equity by \$0.10. During the financial crisis, this pass-through rises to 1. We explain this pattern by viewing insurance companies as asset insulators, institutions with stable, long-term liabilities that can ride out transitory dislocations in market prices. Illustrating the macroeconomic importance of insulation, insurers' market equity declined by $50 billion less than the duration-adjusted value of their securities during the crisis.
Cross-sectional or panel studies have joined time series techniques as an important element in empirical macroeconomists' toolkit. The econometric best practices for these studies and their aggregate implications remain active topics of research. In this paper, I offer several pieces of advice for practitioners in this literature. I begin by casting regional analysis in a Rubin (1978) potential outcomes framework. Using this framework, I discuss the importance of contamination of other areas through spillovers and how to make inference about aggregate responses based on regional variation. I then turn to econometric issues including the choice of endogenous variable in a regional regression and whether or not to weight by population.
We analyze a unique episode in the history of monetary economics, the 2016 Indian ``demonetization.'' This policy made 86\% of cash in circulation illegal tender overnight, with new notes gradually introduced over the next several months. We present a model of demonetization where agents hold cash both to satisfy a cash-in-advance constraint and for tax evasion purposes. We test the predictions of the model in the cross-section of Indian districts using several novel data sets including: the geographic distribution of demonetized and new notes for causal inference; nightlight activity and employment surveys to measure economic activity including in the informal sector; debit/credit cards and e-wallet transactions data; and banking data on deposit and credit growth. Districts experiencing more severe demonetization had relative reductions in economic activity, faster adoption of alternative payment technologies, and lower bank credit growth. The cross-sectional responses cumulate to a contraction in employment and nightlights-based output due to demonetization of 2 p.p. and of bank credit of 2 p.p. in 2016Q4 relative to their counterfactual paths, effects which dissipate over the next few months. These cumulated effects provide a lower bound for the aggregate effects of demonetization. Our analysis rejects money non-neutrality using a large scale natural experiment, something that is yet rare in the vast literature on the effects of monetary policy.
We revisit an old question: does industry labor reallocation affect the business cycle? Our empirical methodology exploits variation in a local labor market's exposure to industry reallocation based on the area's initial industry composition and national industry employment trends for identification. Applied to confidential employment data over 1980-2014, we find sharp evidence of reallocation contributing to higher local area unemployment if it occurs during a national recession, but little difference in outcomes during an expansion. A multi-area, multi-sector search and matching model with imperfect mobility across industries and downward nominal wage rigidity can reproduce these cross-sectional patterns.
A geographic cross-sectional fiscal spending multiplier measures the effect of an increase in spending in one region in a monetary union. Empirical studies of such multipliers have proliferated in recent years. I review this research and what the evidence implies for national multipliers. Based on an updated analysis of the American Recovery and Reinvestment Act and a survey of empirical studies, my preferred point estimate for a cross-sectional output multiplier is 1.8. Drawing on a complementary theoretical literature, the paper discusses conditions under which the cross-sectional multiplier provides a rough lower bound for a particular national multiplier, the closed economy, no-monetary-policy-response fiscal spending multiplier. Putting these elements together, the cross-sectional evidence suggests a national no-monetary-policy-response multiplier of about 1.7 or above. The paper concludes by offering suggestions for future research on cross-sectional multipliers.
By how much does an extension of unemployment benefits affect macroeconomic outcomes such as unemployment? Answering this question is challenging because U.S. law extends benefits for states experiencing high unemployment. We use data revisions to decompose the variation in the duration of benefits into the part coming from actual differences in economic conditions and the part coming from measurement error in the real-time data used to determine benefit extensions. Using only the variation coming from measurement error, we find that benefit extensions have a limited influence on state-level macroeconomic outcomes. We use our estimates to quantify the effects of the increase in the duration of benefits during the Great Recession and find that they increased the unemployment rate by at most 0.3 percentage point.
The flow opportunity cost of moving from unemployment to employment consists of foregone public benefits and the foregone value of non-working time in units of consumption. We construct a time series of the opportunity cost of employment using detailed microdata and administrative or national accounts data to estimate benefit levels, eligibility and take-up of benefits, consumption by labor force status, hours per worker, taxes, and preference parameters. Our estimated opportunity cost is procyclical and volatile over the business cycle. The estimated cyclicality implies far less unemployment volatility in many leading models of the labor market than that observed in the data, irrespective of the level of the opportunity cost.
Monetary policy affects the real economy in part through its effects on financial institutions. High frequency event studies show the introduction of unconventional monetary policy in the winter of 2008-09 had a strong, beneficial impact on banks and especially on life insurance companies. I interpret the positive effects on life insurers as expansionary policy recapitalizing the sector by raising the value of legacy assets. Expansionary policy had small positive or neutral effects on banks and life insurers through 2013. The interaction of low nominal interest rates and administrative costs forced money market funds to waive fees, producing a possible incentive to reach for yield to reduce waivers. I show money market funds with higher costs reached for higher returns in 2009-11, but not thereafter. Some private defined benefit pension funds increased their risk taking beginning in 2009, but again such behavior largely dissipated by 2012. In sum, unconventional monetary policy helped to stabilize some sectors and provoked modest additional risk taking in others. I do not find evidence that the riskiness of the financial institutions studied fomented a tradeoff between expansionary policy and financial stability at the end of 2013.
Abstract This paper investigates the effect of bank lending frictions on employment outcomes. I construct a new dataset that combines information on banking relationships and employment at two thousand nonfinancial firms during the 2008-09 crisis. The paper first verifies empirically the importance of banking relationships, which imply a cost to borrowers that switch lenders. I then use the dispersion in lender health following the Lehman crisis as a source of exogenous variation in the availability of credit to borrowers. I find that credit matters. Firms that had pre-crisis relationships with less healthy lenders had a lower likelihood of obtaining a loan following the Lehman bankruptcy, paid a higher interest rate if they did borrow, and reduced employment by more compared to pre-crisis clients of healthier lenders. Consistent with frictions deriving from asymmetric information, the effects vary by firm type. Lender health has an economically and statistically significant effect on employment at small and medium firms, but the data cannot reject the hypothesis of no effect at the largest or most transparent firms. Abstracting from general equilibrium effects, I find that the withdrawal of credit accounts for between one-third and one-half of the employment decline at small and medium firms in the sample in the year following the Lehman bankruptcy.
The American Recovery and Reinvestment Act (ARRA) of 2009 included $88 billion of aid to state governments administered through the Medicaid reimbursement process. We examine the effect of these transfers on states’ employment. Because state fiscal relief outlays are endogenous to a state’s economic environment, OLS results are biased downward. We address this problem by using a state’s prerecession Medicaid pending level to instrument for ARRA state fiscal relief. In our preferred specification, a state’s receipt of a marginal $100,000 in Medicaid outlays results in an additional 3.8 job-years, 3.2 of which are outside the government, health, and education sectors
Unemployment insurance (UI) provides an important cushion for workers who lose their jobs. In addition, UI may act as a macroeconomic stabilizer during recessions. This chapter examines UI’s macroeconomic stabilization role, considering both the regular UI program which provides benefits to short-term unemployed workers as well as automatic and emergency extensions of benefits that cover long-term unemployed workers. We make a number of analytic points concerning the macroeconomic stabilization role of UI. First, recipiency rates in the regular UI program are quite low. Second, the automatic component of benefit extensions, Extended Benefits (EB), has played almost no role historically in providing timely, countercyclical stimulus while emergency programs are subject to implementation lags. Additionally, except during an exceptionally high and sustained period of unemployment, large UI extensions have limited scope to act as macroeconomic stabilizers even if they were made automatic because relatively few individuals reach long-term unemployment. Finally, the output effects from increasing the benefit amount for short-term unemployed are constrained by estimated consumption responses of below 1. We propose five changes to the UI system that would increase UI benefits during recessions and improve the macroeconomic stabilization role: (I) Expand eligibility and encourage take-up of regular UI benefits. (II) Make EB fully federally financed. (III) Remove look-back provisions from EB triggers that make automatic extensions turn off during periods of prolonged unemployment. (IV) Add additional automatic extensions to increase benefits during periods of extremely high unemployment. (V) Add an automatic federally financed increase in the weekly UI benefit amount during recessions. We caution that these reforms may not by themselves have a large macroeconomic impact. Still, they would help to better align the UI system with its microeconomic objective. Together with other policy reforms to automatic stabilizers, these proposed changes to the UI system could help to mitigate future recessions.