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 …

The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed …) bias in βˆ. 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 …

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 …

Predictive AI is increasingly used to guide decisions on agents. I show that even a bias-neutral predictive AI can … potentially amplify exogenous (human) bias in settings where the predictive AI represents a cost-adjusted precision gain to … belief updating, expected victims of bias become less likely to be saved by randomness under more precise predictions. An …