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 …

example, the curse of dimensionality can be circumvented, the estimation accuracy on boundaries can be improved, or the bias …