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来源类型Working Paper
规范类型报告
DOI10.3386/w27566
来源IDWorking Paper 27566
Projecting Unemployment Durations: A Factor-Flows Simulation Approach With Application to the COVID-19 Recession
Gabriel Chodorow-Reich; John Coglianese
发表日期2020-07-20
出版年2020
语种英语
摘要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.
主题Macroeconomics ; Consumption and Investment ; Labor Economics ; Unemployment and Immigration ; COVID-19
URLhttps://www.nber.org/papers/w27566
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/585239
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Gabriel Chodorow-Reich,John Coglianese. Projecting Unemployment Durations: A Factor-Flows Simulation Approach With Application to the COVID-19 Recession. 2020.
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