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This paper applies Verdoorn's and Okun's law to derive efficient estimates of the employment and unemployment threshold in the Unified Germany. The analysis is built on a disaggregated dataset of regional labour markets, where spatial dependencies are taken into account. Especially, a spatial SUR model is proposed utilising the eigenfunction decomposition approach suggested by Griffith (1996, 2000 ). The thresholds turn out to be unstable over time. However, minimum output growth sufficient for a rise in employment is below the level needed for a drop in the unemployment rate. If spatial effects are ignored, the thresholds seem to be markedly overrated. [ABSTRACT FROM AUTHOR]

The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample. [ABSTRACT FROM AUTHOR]

The present note evaluates the performance of firm fixed effects as a productivity measure when identified from wage regressions with two‐way fixed effects in matched employer‐employee data. This setting is frequently applied to study the matching between workers and firms. Exploiting wage and production data from a large administrative German data set, I find that the correlation between firm fixed effects (FFE) and total factor productivity is close to zero. Once TFP is used, the matching pattern is positive assortative, whereas the two‐way fixed effect technique yields the opposite result. [ABSTRACT FROM AUTHOR]