The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed …) bias in β^. We add to this literature in two important ways. First, we focus on estimation of the fixed effects proper, as … these have become increasingly important in applied work.Second, we build on a bias-reduction approach originally developed …

new method to correct for attrition bias. We rely on a 10-years longitudinal data set with a final attrition rate of 10 …

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 …

This paper compares various forecasts using panel data with spatial error correlation. The true data generating process … rather than homogeneous panel data models …

happiness. However, whether it is accurate is an open question. Based on individual panel data, we explore whether home buyers …

-growth bias (EGB) and present bias (PB). We find that EGB, the tendency to neglect compounding, and PB, the tendency to value the …

Exponential growth bias (EGB) is the pervasive tendency of people to perceive a growth process as linear when, in fact … positive cases in the future. The bias is positively correlated with optimistic expectations about the future macroeconomic … to Baseline, b) Feedback-N, Feedback-G, and Forecast significantly reduce bias relative to both Baseline and Step, c) the …

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data …