This article investigates the effect of bank lending frictions on employment outcomes. I construct a new data set that combines information on banking relationships and employment at 2,000 nonfinancial firms during the 2008–9 crisis. The article first verifies empirically the importance of banking relationships, which imply a cost to borrowers who 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 precrisis 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 precrisis 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.

We document the importance of covenant violations in transmitting bank health to nonfinancial firms. Roughly one‐third of loans in our supervisory data breach a covenant during the 2008 to 2009 period, allowing lenders to force a renegotiation of loan terms or to accelerate repayment of otherwise long‐term credit. Lenders in worse health are more likely to force a reduction in the loan commitment following a violation. The reduction in credit to borrowers who violate a covenant can account for the majority of the cross‐sectional variation in credit supply during the 2008 to 2009 crisis.

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 on the basis of 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 multiarea, multisector search-and-matching model with imperfect mobility across industries and downward nominal wage rigidity can reproduce these cross-sectional patterns.

The flow opportunity cost of moving from unemployment to employment consists of forgone public benefits and the forgone consumption value of nonworking time. We construct a time series of the opportunity cost of employment using detailed microdata and administrative or national accounts data to estimate benefits levels, eligibility, take-up, consumption by labor force status, hours, taxes, and preference parameters. The opportunity cost is procyclical and volatile over the business cycle. The estimated cyclicality implies far less unemployment volatility in leading models of the labor market than that observed in the data, irrespective of the level of the opportunity cost.

Greece experienced a boom until 2007, followed by a collapse of unprecedented magnitude and persistence. We assess the sources of the boom and the bust, using a rich estimated dynamic general equilibrium model. External demand and government consumption fueled the boom in production, whereas transfers fueled the boom in consumption. Different from the standard narrative, wages and prices declined substantially during the bust. Tax policy accounts for the largest fraction of the bust in production, whereas uninsurable risk accounts for the bust in consumption and wages. We assess how the composition of fiscal adjustment and bailouts affected the crisis.

With “2020 hindsight,” the 2000s housing cycle is not a boom–bust but a boom–bust–rebound. Using a spatial equilibrium regression in which house prices are determined by income, amenities, urbanization, and supply, we show that long-run city-level fundamentals predict not only 1997–2019 price and rent growth but also the amplitude of the boom–bust–rebound. This evidence motivates our model of a cycle rooted in fundamentals. Households learn about fundamentals by observing “dividends” but become over-optimistic in the boom due to diagnostic expectations. A bust ensues when beliefs start to correct, exacerbated by a price–foreclosure spiral that drives prices below their long-run level. The rebound follows as prices converge to a path commensurate with higher fundamental growth. The estimated model explains the boom–bust–rebound with a single shock and accounts quantitatively for the dynamics of prices, rents, and foreclosures in cities with the largest cycles. We draw implications for asset cycles more generally.

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; night light 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 aggregate employment and night lights–based output due to the the cash shortage of at least 2 percentage points and of bank credit of 2 percentage points in 2016Q4 relative to their counterfactual paths, effects that dissipate over the next few months. Our analysis rejects monetary neutrality using a large-scale natural experiment, something that is still rare in the vast literature on the effects of monetary policy.

We construct a new data set tracking the daily value of life insurers’ assets at the security level. Outside of the 2008–2009 crisis, a $ 1 drop in the market value of assets reduces an insurer’s market equity by $ 0.10. During the ?nancial 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.

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 apply our estimates to 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.

We provide evidence of the stock market consumption wealth effect by using a local labor market analysis. An increase in local stock wealth driven by aggregate stock prices increases local employment and payroll in nontradable industries and in total, with no effect on employment in tradable industries. In a model of geographic heterogeneity in stock wealth, these responses imply an MPC of 3.2 cents per year and that a 20 percent increase in stock valuations, unless countered by monetary policy, increases the aggregate labor bill by at least 1.7 percent and aggregate hours by at least 0.7 percent two years after the shock.