This paper investigates the evolution of aggregate productivity and markups among French manufacturing firms between 1994 and 2016, by focusing on the role of reallocation with respect to both aggregate measures. Firm-level productivity and markups are estimated based on a gross output translog...

I study when a firm prefers to be transparent about pay using a simple multidimensional signaling model. Pay transparency within the firm means that a worker can learn about his own worker-firm match from another worker's pay. This can either encourage or discourage workers-which affects...

We propose a nonparametric test that distinguishes “depressions” and “booms” from ordinary recessions and expansions. Depressions and booms are defined as coming from another underlying process than recessions and expansions. We find four depressions and booms in the NBER business cycle...

This paper addresses the problem of estimation of a nonparametric regression function from selectively observed data when selection is endogenous. Our approach relies on independence between covariates and selection conditionally on potential outcomes. Endogeneity of regressors is also allowed...

This paper proposes a test for missing at random (MAR). The MAR assumption is shown to be testable given instrumental variables which are independent of response given potential outcomes. A nonparametric testing procedure based on integrated squared distance is proposed. The statistic's...

The wage effects of fixed-term contracts (FTCs) are analysed with the GSOEP for West Germany. Different estimators which take into account selection bias are used. It is shown that propensity score matching estimators which are usually applied for the evaluation of active labour market...

In this paper, I contrast the quality of part-time jobs - in terms of hourly wage rates - with those of full-timers. Using the Netherlands as a benchmark, helps to assess the size and seriousness of the estimated wage differentials in Germany. Based on two comparable household surveys, I...