Clément Bosquet

TL;DR: In this paper, a unique individual dataset of French academics in economics was used to explain individual publication and citation records by gender and age, co-authorship patterns (average number of authors per article and size of the co-author network) and specialisation choices (percentage of output in each JEL code).

Abstract: Recently, various studies have used the Poisson Pseudo-Maximal Likehood (PML) to estimate gravity specifications of trade flows and non-count data models more generally. Some papers also report results based on the Negative Binomial Quasi-Generalised Pseudo-Maximum Likelihood (NB QGPML) estimator, which encompasses the Poisson assumption as a special case. This note shows that the NB QGPML estimators that have been used so far are unappealing when applied to a continuous dependent variable which unit choice is arbitrary, because estimates artificially depend on that choice. A new NB QGPML estimator is introduced to overcome this shortcoming.

TL;DR: In this paper, the authors exploit the unique features of the promotion system for French academics to look at women's attitudes towards competition in an actual labour market and find that women have a substantially lower probability than men to enter the promotion contest.

TL;DR: This article showed that the negative binomial estimator is inappropriate when applied to a continuous dependent variable which unit choice is arbitrary, because estimates artificially depend on that choice, and also showed that negative binomials are inappropriate for continuous dependent variables.

TL;DR: The authors examined the promotion gap between men and women in French academic economists and found that women are less likely to seek promotion, and this accounts for up to 76 percent of the gap.