Abstract
The productivity-driven Mortensen–Pissarides model predicts that labor productivity is strongly correlated with labor market variables whereas these correlations were argued to be much weaker in the data, especially since the 1980s. We first document that the size of these discrepancies between the data and the model becomes substantially smaller if employment data from the Current Population Survey is used in measuring productivity instead of the commonly used employment data from the Current Employment Statistics. Second, we show that incorporating time to build and a stochastic value of home production helps reconcile the quantitative performance of the model with the data.
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