Fixed effects in rare events data: a penalized maximum likelihood solution
Fixed effects in rare events data: a penalized maximum likelihood solution is a scholarly work, published in 2018 in ''Political Science Research and Methods''. The main subjects of the publication include sample, crop insurance, fixed effects model, econometrics, event, Monte Carlo method, social movement, international aid, binary numeral system, statistics, rare event, random effects model, estimator, mathematics, sample size determination, and computer science. The authors revisit this issue and clarify that the main concern with fixed effects models of rare events data is not inaccurate or inefficient coefficient estimation, but instead biased marginal effects.