In this paper, we investigate the impact of informality on earnings inequality in Russia using the RLMS - HSE data for 2000-2010. We apply decompositions based on the recentered influence functions of unconditional quantiles proposed by Fipro, Fortin and Lemieux (Fipro et al., 2009). Our results...

In this paper I demonstrate, both theoretically and empirically, that the interpretation of regression estimates of between-group differences in economic outcomes depends on the relative sizes of subpopulations under study. When the disadvantaged group is small, regression estimates are similar...

In this paper I demonstrate, both theoretically and empirically, that the interpretation of regression estimates of between-group differences in economic outcomes depends on the relative sizes of subpopulations under study. When the disadvantaged group is small, regression estimates are similar...

Traditional analysis of gender wage gaps has largely focused on average gaps between men and women, and mean wage decompositions such as the Blinder-Oaxaca (1973) decomposition method. To answer the question of whether there is a “glass ceiling” or a “sticky floor,” i.e. whether wage...

This paper evaluates the intent to treat local average treatment effects of the Colombian apprenticeship contract on manufacturing firm dynamics taking advantage of an exogenous variation generated by the 2002 labor reform and the regulation design. This evaluation is appealing because very...

This paper examines the effect of measurement error in the dependent variable on quantile regression, because unlike OLS regression, even classical measurement error can generate bias. I examine the pattern and size of the bias using both simulation and an empirical example. The simulations...

The aim of this study is to investigate the effect of oil price, US Dollar rate and VIX on Borsa Istanbul by employing quantile regression model. In the literature, there are studies that examine the effect of the mentioned factors on stock market, but the number of studies in which these...

This paper proposes a linear categorical random coefficient model, in which the random coefficients follow parametric categorical distributions. The distributional parameters are identified based on a linear recurrence structure of moments of the random coefficients. A Generalized Method of...

This paper proposes a linear categorical random coefficient model, in which the random coefficients follow parametric categorical distributions. The distributional parameters are identified based on a linear recurrence structure of moments of the random coefficients. A Generalized Method of...