... distribution. In doing so, we control for sample selection bias. Next, we apply an unconditional quantile regression model based on the re-centred influence function (RIF) to assess the extent of price and quantity effects along the wage distribution. To further the analysis, we employ an inverse-probability...

...SeEun Jung Purpose The purpose of this paper is to consider a new way of estimating the gender wage gap by introducing individual risk attitudes that is applied to representative Korean data. Design/methodology/approach The selection bias via risk attitudes results in the overestimation...

... data for demographic studies and presents a general framework for addressing the problem of selection bias in non-representative samples. Design/methodology/approach – The authors propose two main approaches to reduce bias. When ground truth data are available, the authors suggest a method...

... for migration selectivity bias, for alternative statuses before migration, and for different post‐migration employment histories. Findings Self‐employed migrants are positively selected with respect to their unobserved characteristics; their wages are substantially higher than what they would have obtained...