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Keywords:earnings dynamics 

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 ...
Working Papers , Paper 2020-036

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 ...
Working Papers , Paper 2020-036

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 Papers , Paper 2014-32

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 ...
Staff Reports , Paper 710

Working Paper
Earnings Dynamics and Its Intergenerational Transmission: Evidence from Norway

Using administrative data, we provide an extensive characterization of labor earnings dynamics in Norway. Some of our findings are as follows. (i) Norway has not been immune to the increase in top earnings inequality seen in other countries. (ii) The earnings distribution compresses in the bottom 90% over the life cycle but expands in the top 10%. (iii) The earnings growth distribution is left skewed and leptokurtic, and the extent of these nonnormalities varies with age and past income. Linking individuals to their parents, we also investigate the intergenerational transmission of income ...
Working Papers , Paper 2021-015

Working Paper
Incarceration, Earnings, and Race

Working Paper , Paper 21-11`

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 Papers , Paper 2020-036

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 Papers , Paper 2022-024

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 Papers , Paper 2022-024

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 Papers , Paper 2022-024

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