Bianchi Francesco, Bianchi Giada, Song Dongho
Department of Economics, Duke, 213 Social Sciences building, Box 90097, JHU, CEPR, and NBER, Durham, NC 27708, United States.
Department of Medicine, Division of Hematology, Brigham and Women's Hospital, Harvard Medical School, United States.
J Econ Dyn Control. 2023 Jan;146:104581. doi: 10.1016/j.jedc.2022.104581. Epub 2022 Dec 5.
We adopt a time series approach to investigate the historical relation between unemployment, life expectancy, and mortality rates. We fit Vector-autoregressions for the overall US population and for groups identified based on gender and race. We use our results to assess the long-run effects of the COVID-19 economic recession on mortality and life expectancy. We estimate the size of the COVID-19-related unemployment shock to be between 2 and 5 times larger than the typical unemployment shock, depending on race and gender, resulting in a significant increase in mortality rates and drop in life expectancy. We also predict that the shock will disproportionately affect African-Americans and women, over a short horizon, while the effects for white men will unfold over longer horizons. These figures translate in more than 0.8 million additional deaths over the next 15 years.
我们采用时间序列方法来研究失业率、预期寿命和死亡率之间的历史关系。我们对美国总人口以及按性别和种族划分的群体进行向量自回归拟合。我们利用研究结果评估新冠疫情经济衰退对死亡率和预期寿命的长期影响。我们估计,与新冠疫情相关的失业冲击规模比典型的失业冲击大2至5倍,具体取决于种族和性别,这导致死亡率显著上升和预期寿命下降。我们还预测,在短期内,这一冲击对非裔美国人和女性的影响将尤为严重,而对白人男性的影响将在更长时间内显现。这些数据意味着在未来15年将额外增加超过80万人死亡。