In this paper we examine the properties of conditional distribution functions in the presence of several types of misspecification. We derive the properties of the cumulative conditional distribution function in the case of measurement error in the dependent variable, measurement error in the...

We use detailed cohort data from three surveys of graduates to examine two explanations for the large decline in the male-female wage gap that occurred in the United Kingdom during the early 1970s. The first attributes the fall to gender-specific factors, most notably the introduction of...

This paper explores gender wage dynamics using an administrative dataset covering Irish graduate earnings from 2010-2020. Our data allows us to look at a broad range of degrees and compare workers who are identical in important observable characteristics. We find that although male and female...

This paper explores gender wage dynamics using an administrative dataset covering Irish graduate earnings from 2010-2020. Our data allows us to look at a broad range of degrees and compare workers who are identical in important observable characteristics. We find that although male and female...

We use detailed cohort data from three surveys of graduates to examine two explanations for the large decline in the male-female wage gap that occurred in the United Kingdom during the early 1970s. The first attributes the fall to gender-specific factors, most notably the introduction of...

This paper uses data on both self-reported and true measures of individual Body Mass Index (BMI) to examine the nature of measurement error in self-reported BMI and to look at the consequences of using self-reported measures when estimating the effect of BMI on economic outcomes. In keeping with...

In this paper we use a semi-parmaetric procedure developed by DiNardo et al(1996),to examine the distribution of the racial wage gap in the U.S and to examine the extent to which forces underlying this wage gap vary throughout the distribution. In carrying out our analyses, we focus on recent...