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This paper studies the estimation of quantile regression panel duration models. We allow for the possibility of endogenous covariates and correlated individual effects in the quantile regression models. We propose a quantile regression approach for panel duration models under conditionally independent censoring. The procedure involves minimizing ℓ1 convex objective functions and is motivated by a martingale property associated with survival data in models with endogenous covariates. We carry out a series of Monte Carlo simulations to investigate the small sample performance of the proposed approach in comparison with other existing methods. An empirical application of the method to the analysis of the effect of unemployment insurance on unemployment duration illustrates the approach.

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

The purpose of this paper is to examine the wage distribution in Spain, its evolution in recent years and the implications for increased wage dispersion. Accordingly, its attention focuses on the following issues: first, the paper investigates how personal, job and firm attributes affect the wages distribution and examine earnings differentials between and within groups of workers according to their individual and job characteristics throughout the conditional wage distribution; and second, the paper analyses whether the business cycle may influence the magnitude of these differentials.

Using administrative data from the Spanish Social Security and the Tax Administration National Agency, the paper estimates OLS and quantile regression (QR) models in order to assess the impact of personal, job and workplace attributes on between- and within-groups wage inequality.

Among other things, we find that, although the average wage has been increasing over time (until 2009), changes have not been uniform across the earnings distribution, making the dispersion fall during boom years but rise during downturn years. Furthermore, changes in the impacts of some characteristics (types of contract, education/qualifications, region and employer size) contributed to higher wage dispersion, while others (tenure) made the distribution more equal.

The analysis of the paper in novel in that it investigates whether wage differentials respond to the business cycle and what the source of that variation is. Moreover, it analyses wages differentials not only at the mean but also throughout the conditional earnings distribution, making it possible to assess the impact of these attributes on between- and within-groups wage inequality.