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Robots at work? Pitfalls of industry level data (replication data)
Replication material for "Robots at work? Pitfalls of industry level data" by Karim Bekhtiar, Benjamin Bittschi and Richard Sellner. Published in Journal of Applied... -
Maintaining (Locus of) Control? Data Combination for the Identification and I...
Factor structure models are widely used in economics to extract latent variables, such as personality traits, and to measure their impact on outcomes of interest. The... -
Labor market entry and earnings dynamics: Bayesian inference using mixtures-o...
This paper analyzes patterns in the earnings development of young labor market entrants over their life cycle. We identify four distinctly different types of transition patterns... -
The relationship between wage growth and wage levels (replication data)
We estimate the covariance between the permanent component of wages and a random coefficient on experience in models both with potential experience and with actual experience.... -
The wages of BMI: Bayesian analysis of a skewed treatment-response model with...
We generalize the specifications used in previous studies of the effect of body mass index (BMI) on earnings by allowing the potentially endogenous BMI variable to enter the log... -
Nonparametric bounds on the returns to language skills (replication data)
This paper applies the theoretical literature on nonparametric bounds on treatment effects to the estimation of how limited English proficiency (LEP) affects wages and... -
Stability and wage acceleration in macroeconomic models of cyclical growth (r...
This paper is concerned with the stability of macroeconomic models in which there is no long-run trade-off between unemployment and inflation, because of a wage adjustment... -
Panel Estimates of a Two-Tiered Earnings Frontier (replication data)
This paper uses panel data to estimate a two-tiered instead of a one-tiered frontier model. The innovation is to develop a two-step maximum likelihood procedure yielding...
