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We derive fixed effects estimators of parameters and average partial effectsin (possibly dynamic) nonlinear panel data models with individual and timeeffects. They cover logit, probit, ordered probit, Poisson and Tobit modelsthat are important for many empirical applications in micro and macroeconomics.Our estimators use analytical and jackknife bias corrections to deal with theincidental parameter problem, and are asymptotically unbiased under asymptoticsequences where $N/T$ converges to a constant. We develop inference methods andshow that they perform well in numerical examples.

Individual and Time Effects in Nonlinear Panel Models with Large N, T