This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …/selection bias. We then estimate the primary equation by fixed effects including an appropriately constructed control function from … both steps might employ nonlinear fixed effects procedures it is necessary to bias adjust the estimates due to the …

schooling and market ability is found to be positive and is consistent with the existence of a positive "Ability Bias". …

quantiles of the wage distribution. We account for the selection bias from the annual hours of work decision by developing and …

endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the …

the determinants of the least squares bias of the wage return to education. We find that disregarding individual fixed … effects is highly problematic, accounting for 95% of the bias. In contrast, disregarding firm fixed effects has marginal …

test two main hypotheses: (i) whether for items not perfectly observable, individuals suffer of some type of bias in these … beliefs; (ii) whether this bias would disappear for weight and height, when the information is perfectly available. We find a … powerful and ubiquitous bias in perceptions that is "self-centered" in the sense that those at extremes tend to perceive …

Social surveys are often used to estimate unemployment duration distributions. Survey nonresponse may then cause a bias … respondents and non-respondents. We develop a method to empirically distinguish between two explanations for a bias in results … both explanations. We discuss implications for standard methods to deal with non-response bias. …

data. The bias is procyclical and is reduced by more than 10% in recessions. We propose an algorithm that uses earnings and …

European countries for more than a decade, we estimate time-varying individual level bias in 'survival expectations' (BSE) at …