Research

We analyze the effects of a monetary policy that stabilizes "shortfalls" rather than "deviations" of employment from its maximum level. A shortfalls-stabilization rule leads to expectations of more accommodative policy in expansions, raising average inflation and nominal rates. These effects are significantly amplified by incorporating history dependence in labor markets, a feature in labor-search frameworks. In a calibrated model of labor-search frictions and nominal rigidities, the adoption of a shortfalls rule raises average inflation and nominal policy rates by 90 basis points, reduces the likelihood of a binding zero lower bound, and implies a steeper and nonlinear Phillips curve.

We assess labor market effects of the Coronavirus Aid, Relief, and Economic Security (CARES) Act $600 weekly unemployment insurance (UI) supplement. We analyze labor force transitions using monthly Current Population Survey microdata and imputed UI benefits. The results show moderate disincentive effects of the supplement on job finding. We rationalize this result in a dynamic model of job acceptance decisions that yields a reservation level of UI benefits at which a recipient is indifferent between unemployment and employment at their prior wage. Calculations based on the model are consistent with the empirical analysis in regard to the moderate fraction of UI recipients who were likely to reject job offers.

An equilibrium search model with credible bargaining, when calibrated to the mean and volatility of postwar unemployment rates, is a good start to understanding the unemployment crisis in the Great Depression. Drawing from rarely used data sources, this paper compiles historical monthly time series of U.S. unemployment rates, vacancy rates, and labor productivity, some of which date back to 1890. The frequency, persistence, and severity of the unemployment crises in the model are quantitatively consistent with those in the historical data.

This paper discusses various concepts of unemployment rate benchmarks that are frequently used by policymakers for assessing the current state of the economy as it relates to the pursuit of both price stability and maximum employment. In particular, we propose two broad categories of unemployment rate benchmarks: (1) a longer-run unemployment rate expected to prevail after adjusting to business cycle shocks and (2) a stable-price unemployment rate tied to inflationary pressures. We describes how various existing measures used as benchmark rates fit within this taxonomy with the goal of facilitating the use of a common set of terms for assessments of the current state of the economy and deliberations among policymakers.

We demonstrate a methodology for replicating and projecting the path of COVID-19 using a simple epidemiology model. We fit the model to daily data on the number of infected cases in China, Italy, the United States, and Brazil. These four countries can be viewed as representing different stages, from later to earlier, of a COVID-19 epidemic cycle. We solve for a model-implied effective reproduction number ℛ𝑡 each day so that the model closely replicates the daily number of currently infected cases in each country. For out-of-sample projections, we fit a behavioral function to the in-sample data that allows for the endogenous response of ℛ𝑡 to movements in the lagged number of infected cases. We show that declines in measures of population mobility tend to precede declines in the model-implied reproduction numbers for each country. This pattern suggests that mandatory and voluntary stay-at-home behavior and social distancing during the early stages of the epidemic worked to reduce the effective reproduction number and mitigate the spread of COVID-19.

Market economies are intrinsically unstable. The standard search model of equilibrium unemployment, once solved accurately with a globally nonlinear algorithm, gives rise endogenously to rare disasters. During periods of cumulative negative shocks, wage rigidity keeps compensation relatively elevated while profits decline. This combination prevents hiring costs from falling proportionally to profits, as trading externalities in the matching process create downward friction. Together, these forces constrain job creation, pushing the economy into disaster cycles.

We build a flexible model with search frictions in three markets: credit, labor, and goods markets. We then apply this model (called CLG) to three different economies: a flexible, finance-driven economy (the UK), an economy with wage moderation (Germany), and an economy with structural rigidities (Spain). In these three countries, goods and credit market frictions play a dominant role in entry costs and account for 75% to 85% of the total entry costs. In the goods market, adverse supply shocks are amplified through their propagation to the demand side, as they also imply income losses for consumers. This adds up to, at most, an additional 15% to 25% to the impact of the shocks. Finally, the speed of matching in the goods market and the credit market accounts for a small fraction of unemployment: most variation in unemployment comes from the speed of matching in the labor market.

An accurate global projection algorithm is critical for quantifying the basic moments of the Diamond–Mortensen–Pissarides model. Log linearization understates the mean and volatility of unemployment, but overstates the volatility of labor market tightness and the magnitude of the unemployment–vacancy correlation. Log linearization also understates the impulse responses in unemployment in recessions, but overstates the responses in the market tightness in booms. Finally, the second-order perturbation in logs can induce severe Euler equation errors, which are often much larger than those from log linearization.

There is a renewed interest in macroeconomic theories of search frictions in the goods market that help solve quantitative puzzles on amplification and persistence of GDP, sales, inventory and advertisement. This requires a deeper understanding of the cyclical properties of the intensive margins of search in this market. Using the American Time Use Survey we construct an indicator of shopping time. It includes both searching and purchasing goods and is based on 25 time use categories (out of more than 400 categories). We find that average time spent shopping declined in the aggregate over the period 2008–2010 compared to 2005–2007. The decline was largest for the unemployed who went from spending more time shopping for goods than the employed to roughly the same, or even less, time. Cross-state and individual regressions indicate pro-cyclical consumer shopping time in the goods market. This evidence poses a challenge for models in which price comparisons are a driver of business cycles.

We develop a two-sector search-matching model of the labor market with imperfect mobility of workers, augmented to incorporate a housing market and a frictional goods market. Homeowners use home equity as collateral to finance idiosyncratic consumption opportunities. A financial innovation that raises the acceptability of homes as collateral raises house prices and reduces unemployment. It also triggers a reallocation of workers, with the direction of the change depending on firms' market power in the goods market. A calibrated version of the model under adaptive learning can account for house prices, sectoral labor flows, and unemployment rate changes over 1996–2010.

Goods market frictions drastically change the dynamics of the labor market, both in terms of persistence and volatility. In a model with three imperfect markets – goods, labor, and credit – we find that credit and goods market imperfections are substitutable in raising volatility. Goods market frictions are unique in generating persistence. Two key mechanisms in the goods market generate large hump-shaped responses to productivity shocks: countercyclical goods market tightness and prices alter future profit flows and raise persistence; procyclical search effort of consumers and firms raises amplification. Goods market frictions are thus key in understanding labor market dynamics.

Propagation in equilibrium models of search unemployment is altered when vacancy costs require some external financing on frictional credit markets. The easing of financing constraints during an expansion as firms accumulate net worth reduces the opportunity cost for resources allocated to job creation. The dynamics of market tightness are affected by (i) a cost channel, increasing the incentive to recruit for a given benefit from a new hire, and (ii) a wage channel, whereby firms' improved bargaining position limits the upward pressure of market tightness on wages. Agency related credit frictions endogenously generate persistence in the dynamics of labor-market tightness, and have a moderate endogenous effect on amplification.

The financial crisis of 2008 was followed by sharp contractions in aggregate output and employment and an unusual increase in aggregate total factor productivity (TFP). This paper attempts to explain these facts by modeling the creation and destruction of jobs in the presence of heterogeneity in firm productivity and frictional credit and labor markets. The aggregate level of TFP is determined by both the underlying distribution of firm productivity and the structures of the credit and labor markets. Adverse shocks to credit markets destroy the least productive jobs and slow job creation, thus raising aggregate TFP and unemployment, and reducing output.

We provide a dynamic extension of an economy with search on credit and labor markets (Wasmer and Weil 2004). Financial frictions create volatility. They add an additional, almost acyclical, entry cost to procyclical job creation costs, thus increasing the elasticity of labor market tightness to productivity shocks by a factor of five to eight, compared to a matching economy with perfect financial markets. We characterize a dynamic financial multiplier that is increasing in total financial costs and minimized under a credit market Hosios-Pissarides rule. Financial frictions are an element of the solution to the volatility puzzle.