Search Results
Working Paper
A Quantitative Theory of Time-Consistent Unemployment Insurance
During recessions, the U.S. government substantially increases the duration of unemployment insurance (UI) benefits through multiple extensions. This paper seeks to understand the incentives driving these increases. Because of the trade-off between insurance and job search incentives, the classic time-inconsistency problem arises. During recessions, the U.S. government substantially increases the duration of unemployment insurance (UI) benefits through multiple extensions. This paper seeks to understand the incentives driving these extensions. Because of the trade-off between insurance and ...
Report
Micro and Macro Effects of UI Policies: Evidence from Missouri
We develop a method to jointly measure the response of worker search effort (micro effect) and vacancy creation (macro effect) to changes in the duration of unemployment insurance (UI) benefits. To implement this approach, we exploit an unexpected cut in UI durations in Missouri and provide quasi-experimental evidence on the effect of UI on the labor market. The data indicate that the cut in Missouri significantly increased job finding rates by both raising the search effort of unemployed workers and the availability of jobs. The latter accounts for at least one half of the total effect.
Working Paper
UI Generosity and Job Acceptance: Effects of the 2020 CARES Act
To provide economic relief following the onset of the COVID-19 pandemic, the U.S. CARES Act granted an extra $600 per week in unemployment insurance (UI) benefit payments from late March through July 2020. This unprecedented increase in UI generosity caused weekly benefit payments to exceed prior earnings for most recipients, raising concern that many would be unwilling to accept job offers, slowing the labor market recovery. To assess the impact of the UI supplement, we analyze the job acceptance decision in a dynamic framework in which job seekers weigh the value of a job against remaining ...
Working Paper
Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims
We leverage an event-study research design focused on the seven costliest hurricanes to hit the US mainland since 2004 to identify the elasticity of unemployment insurance filings with respect to search intensity. Applying our elasticity estimate to the state-level Google Trends indexes for the topic “unemployment,” we show that out-of-sample forecasts made ahead of the official data releases for March 21 and 28 predicted to a large degree the extent of the Covid-19 related surge in the demand for unemployment insurance. In addition, we provide a robust assessment of the uncertainty ...
Working Paper
The Jobs Effect of Ending Pandemic Unemployment Benefits: A State-Level Analysis
This paper uses the asynchronous cessation of emergency unemployment benefits (EUB) in 2021 to investigate the jobs impact of ending unemployment benefits. While some states stopped providing EUB in September, others stopped as early as June. Using the cessation month as an instrument, we estimate the effect on employment of reducing unemployment rolls. In the second month following a state’s program termination, for every 100 person reduction in beneficiaries, state employment causally increased by about 27 persons. The effect is statistically different from zero and robust to a wide array ...
Working Paper
Unemployment Insurance during a Pandemic
The CARES Act implemented in response to the COVID-19 crisis dramatically increases the generosity of unemployment insurance (UI) benefits, triggering concerns about its substantial impact on unemployment. This paper combines a labor market search-matching model with the SIR-type infection dynamics to study the effects of CARES UI on both unemployment and infection. More generous UI policies create work disincentives and lead to higher unemployment, but they also reduce infection and save lives. Shutdown policies and infection risk further amplify these effects of UI policies. Quantitatively, ...
Working Paper
Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims
We leverage an event-study research design focused on the seven costliest hurricanes to hit the US mainland since 2004 to identify the elasticity of unemployment insurance filings with respect to search intensity. Applying our elasticity estimate to the state-level Google Trends indexes for the topic “unemployment,” we show that out-of-sample forecasts made ahead of the official data releases for March 21 and 28 predicted to a large degree the extent of the Covid-19 related surge in the demand for unemployment insurance. In addition, we provide a robust assessment of the uncertainty ...
Journal Article
Preparing Unemployment Insurance for a Downturn: The Carolinas
In the aftermath of the Great Recession, the United States saw unemployment rates rise to levels it had not seen since the early 1980s as employers shed workers by the millions. Workers who had lost their jobs could not find other work and flooded into unemployment offices around the nation applying for benefits to ease the shock to their household income. Unemployment insurance claims and payouts soared, straining programs from coast to coast.
Working Paper
Unemployment Insurance during a Pandemic
The CARES Act implemented in response to the COVID-19 crisis dramatically increases the generosity of unemployment insurance (UI) benefits, triggering concerns about its substantial impact on unemployment. This paper combines a labor market search-matching model with the SIR-type infection dynamics to study the effects of CARES UI on both unemployment and infection. More generous UI policies create work disincentives and lead to higher unemployment, but they also reduce infection and save lives. Economic shutdown policies further amplify these effects of UI policies. Quantitatively, the CARES ...