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Working Paper
Firms as Learning Environments: Implications for Earnings Dynamics and Job Search
This paper demonstrates that heterogeneity in firms' promotion of human capital accumulation is an important determinant of life-cycle earnings inequality. To arrive at this finding, I develop a life-cycle search model with heterogeneous workers and firms. In the model, a worker's earnings can grow through both human capital accumulation and labor market competition channels. Human capital growth depends on both the worker's ability and the firm's learning environment. I apply the model to administrative micro data from Germany. While bringing the model to the data, I find evidence of ...
Working Paper
What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Risk?
We study the evolution of individual labor earnings over the life cycle using a large panel data set of earnings histories drawn from U.S. administrative records. Using fully nonparametric methods, our analysis reaches two broad conclusions. First, earnings shocks display substantial deviations from lognormality?the standard assumption in the incomplete markets literature. In particular, earnings shocks display strong negative skewness and extremely high kurtosis?as high as 30 compared with 3 for a Gaussian distribution. The high kurtosis implies that in a given year, most individuals ...
Working Paper
Firms as Learning Environments: Implications for Earnings Dynamics and Job Search
This paper demonstrates that heterogeneity in firms’ promotion of human capital accumulation is an important determinant of life-cycle earnings inequality. I use administrative micro data from Germany to show that different establishments offer systematically different earnings growth rates for their workers. This observation suggests that that the increase in inequality over the life cycle reflects not only inherent worker variation, but also differences in the firms that workers happen to match with over their lifetimes. To quantify this channel, I develop a life-cycle search model with ...
Report
What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Dynamics?
We study individual earnings dynamics over the life cycle using panel data on millions of U.S. workers. Using nonparametric methods, we first show that the distribution of earnings changes exhibits substantial deviations from lognormality, such as negative skewness and very high kurtosis. Further, the extent of these nonnormalities varies significantly with age and earnings level, peaking around age 50 and between the 70th and 90th percentiles of the earnings distribution. Second, we estimate nonparametric impulse response functions and find important asymmetries: positive changes for ...
Working Paper
Incarceration, Earnings, and Race
Working Paper
Wage dynamics and labor market transitions: a reassessment through total income and “usual” wages
We present a simple on-the-job search model in which workers can receive shocks to their employer-specific c productivity match. Because the firm-specific match can vary, wages may increase or decrease over time at each employer. Therefore, for some workers, job-to-job transitions are a way to escape job situations that worsened over time. The contribution of our paper relies on our novel approach to identifying the presence of the shock to the match specific productivity. The presence two independent measures of workers compensation in our dataset of is crucial for our identification ...
Working Paper
Dissecting Idiosyncratic Earnings Risk
This paper examines whether nonlinear and non-Gaussian features of earnings dynamics are caused by hours or hourly wages. Our findings from the Norwegian administrative and survey data are as follows: (i) Nonlinear mean reversion in earnings is driven by the dynamics of hours worked rather than wages since wage dynamics are close to linear, while hours dynamics are nonlinear—negative changes to hours are transitory, while positive changes are persistent. (ii) Large earnings changes are driven equally by hours and wages, whereas small changes are associated mainly with wage shocks. (iii) ...
Working Paper
Dissecting Idiosyncratic Earnings Risk
This paper examines whether nonlinear and non-Gaussian features of earnings dynamics are caused by hours or hourly wages. Our findings from the Norwegian administrative and survey data are as follows: (i) Nonlinear mean reversion in earnings is driven by the dynamics of hours worked rather than wages since wage dynamics are close to linear, while hours dynamics are nonlinear—negative changes to hours are transitory, while positive changes are persistent. (ii) Large earnings changes are driven equally by hours and wages, whereas small changes are associated mainly with wage shocks. (iii) ...
Report
Self-Employment and Labor Market Risks
I study the labor market risks associated with being self-employed. I document that the self-employed are subject to larger earnings fluctuations than employees and that they frequently transition into unemployment. Given that the self-employed are not eligible to unemployment insurance, I analyze the provision of benefits targeted at these risks using a calibrated search model with (i) precautionary savings, (ii) work opportunities in paid and self-employment, and (iii) skill heterogeneity. This exercise suggests that extending the current U.S. unemployment insurance scheme to the ...
Working Paper
Earnings Dynamics and Its Intergenerational Transmission: Evidence from Norway
Using administrative data from Norway, we first present stylized facts on labor earnings dynamics between 1993 and 2017 and its heterogeneity across narrow population groups. We then investigate the parents’ role in children’s income dynamics—the intergenerational transmission of income dynamics. We find that children of high-income, high-wealth fathers enjoy steeper income growth over the life cycle and face more volatile but more positively skewed income changes, suggesting that they are more likely to pursue high-return, high-risk careers. Children of poorer fathers also face more ...