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Entry and Exit, Unemployment, and the Business Cycle
Establishment entry and exit is strongly correlated with output and unemployment. This paper examines how these linkages affect business cycle dynamics through the lens of a search and matching model augmented to include multi-worker establishments that endogenously enter and exit. Analytical results show cyclical entry and exit cause reallocation of inputs that amplifies and skews business cycle dynamics. When the model is calibrated to the data, it generates realistic asymmetry in output and unemployment, data-consistent counter-cyclical endogenous uncertainty and a 55% higher welfare cost ...
Entry and Exit, Unemployment, and Macroeconomic Tail Risk
This paper builds a nonlinear business cycle model with endogenous firm entry and exit and equilibrium unemployment. The entry and exit mechanism generates asymmetry and amplifies the transmission of productivity shocks, exposing the economy to significant tail risk. When calibrating the rates of entry and exit to match their shares of job creation and destruction, our quantitative model generates higher-order moments consistent with U.S. data. Firm exit particularly amplifies the severity and persistence of deep recessions such as the COVID-19 crisis. In the absence of entry and exit, the ...
The Business Cycle Mechanics of Search and Matching Models
This paper estimates a real business cycle model with unemployment driven by shocks to labor productivity and the job separation rate. We make two contributions. First, we develop a new identification scheme based on the matching elasticity that allows the model to perfectly match a range of labor market moments, including the volatilities of unemployment and vacancies. Second, we use our model to revisit the importance of shocks to the job separation rate and highlight how their correlation with labor productivity affects their transmission mechanism.
Nonlinear Search and Matching Explained
Competing explanations for the sources of nonlinearity in search and matching modelsindicate that they are not fully understood. This paper derives an analytical solution to atextbook model that highlights the mechanisms that generate nonlinearity and quantifiestheir contributions. Procyclical variation in the matching elasticity creates nonlinearity inthe job finding rate, which interacts with the law of motion for unemployment. These resultsshow the matching function choice is not innocuous. Quantitatively, the Den Haan et al.(2000) matching function more than doubles the skewness of ...
COVID-19: A View from the Labor Market
This paper examines the response of the U.S. labor market to a large and persistent job separation rate shock, motivated by the ongoing economic effects of the COVID-19 pandemic. We use nonlinear methods to analytically and numerically characterize the responses of vacancy creation and unemployment. Vacancies decline in response to the shock when firms expect persistent job destruction and the number of unemployed searching for work is low. Quantitatively, under our baseline forecast the unemployment rate peaks at 19.7%, 2 months after the shock, and takes 1 year to return to 5%. Relative to ...
COVID-19’s Unprecedented Impact Alters U.S. Labor Market
A staggering 22.03 million initial claims for unemployment benefits were filed from mid-March to mid-April as the COVID-19 pandemic and ensuing stay-at-home policies took hold across the country.
Entry, Exit of Firms Amplify the Business Cycle
When new businesses are created, they generate new jobs. When unprofitable businesses close, employees lose their jobs. Given the connection between firm entry and exit and changes in employment, it is natural to ask how this entry and exit affects the broader business cycle.