The estimated effects critically rely upon knowledge on workers’ reallocation patterns, which is usually plagued with coding errors. I develop an econometric framework to jointly estimate misclassification probabilities, corrected mobility matrices, and structural parameters in a unified means. Under totally different mannequin specifications, I evaluate how the estimated results of a commerce shock differ on whether the analysis makes use of right mobility measures and parameters. The outcomes show that estimated employment and welfare effects of a commerce shock are considerably different, elevating an necessary warning for quantitative workouts using mobility knowledge with coding errors. We research the determinants of lifetime earnings inequality in the us by focusing on job ladder dynamics and on-the-job studying as sources of wage growth.
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