The Effect of Accidents on Labor Market Outcomes: Evidence from Chile

We estimate the causal effect of accidents on employment and earnings in the Chilean labor market using event study methods and monthly data. An accident reduces the probability of being employed by 8.3 percentage points in the first year, by 11.1 percentage points in the second year, and by 14.5 percentage points in the third year after the accident. On average, employment declines by 14%, relative to the pre-accident mean. In addition, accidents reduce monthly earnings by around US$60 in the first year, US$94 in the second year, and US$125 in the third year after the accident. On average, monthly earnings fall by 16%, relative to the pre-accident average. Thus, we estimate a persistent, or even increasing, labor market effect from accidents over time. Our findings imply that the economic consequences of health shocks go beyond direct medical expenses.

[1]  Corina D Mommaerts,et al.  The Economic Consequences of Hospitalizations for Older Workers Across Countries , 2019 .

[2]  Barbara Petrongolo,et al.  Gender Gaps and the Rise of the Service Economy , 2017, SSRN Electronic Journal.

[3]  Xavier Jaravel,et al.  Revisiting Event Study Designs , 2017 .

[4]  Sung-Hee Jeon,et al.  The Long‐Term Effects of Cancer on Employment and Earnings , 2017, Health economics.

[5]  Carlos Dobkin,et al.  The Economic Consequences of Hospital Admissions , 2016, The American economic review.

[6]  Itzik Fadlon,et al.  Family Labor Supply Responses to Severe Health Shocks , 2015 .

[7]  P. Lundborg,et al.  Heterogeneity in the impact of health shocks on labour outcomes: evidence from Swedish workers , 2015 .

[8]  E. Heinesen,et al.  Effects of breast and colorectal cancer on labour market outcomes-average effects and educational gradients. , 2013, Journal of health economics.

[9]  E. van Doorslaer,et al.  Long-Term and Spillover Effects of Health Shocks on Employment and Income , 2013, The Journal of Human Resources.

[10]  M. Mohanan Causal Effects of Health Shocks on Consumption and Debt: Quasi-Experimental Evidence from Bus Accident Injuries , 2011, Review of Economics and Statistics.

[11]  Lawrence F. Katz,et al.  Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors , 2010 .

[12]  Thomas F. Crossley,et al.  The reliability of self-assessed health status. , 2002, Journal of health economics.

[13]  Kate Krause,et al.  The Motherhood Wage Penalty: Which Mothers Pay It and Why? , 2002 .

[14]  Michael Baker,et al.  What Do Self-Reported, Objective, Measures of Health Measure? , 2001, The Journal of Human Resources.

[15]  Brigitte C. Madrian,et al.  Health, Health Insurance and the Labor Market , 1998 .

[16]  M. Halla,et al.  The Effect of Health on Earnings: Quasi-Experimental Evidence from Commuting Accidents∗ , 2013 .

[17]  John Bound,et al.  Self-Reported Versus Objective Measures of Health in Retirement Models , 1991 .

[18]  G. Bazzoli The Early Retirement Decision: New Empirical Evidence on the Influence of Health , 1985 .