We propose a root-N-consistent estimator for binary response panel data where the individual specific effect may be correlated with the regressors. The estimator is asymptotically normal with a simple variance matrix

We show how modified profile likelihood methods, developed in the statistical literature, may be effectively applied to estimate the structural parameters of econometric models for panel data, with a remarkable reduction of bias with respect to the ordinary likelihood methods. The implementation...

Consumers’ time allocation decisions among various activities are fundamental to marketing research and consumer behavior. We construct a dynamic panel data model to examine how consumers allocate time to a portfolio of leisure activities over time. Our data comprise a longitudinal panel where...

In this paper, we consider estimation of nonlinear panel data models that include individual specific fixed effects. Estimation of these models is complicated by the incidental parameters problem; that is, noise in the estimation of the fixed effects when the time dimension is short generally...

This paper reconsiders the long term effect of fiscal policy on interest rates using a real-time dataset of macroeconomic and fiscal variables in a panel of 17 OECD countries over the period 1989-2009. We show that, after controlling for cross sectional dependence using a Factor Augmented Panel,...

This paper reconsiders the effects of fiscal policy on long-term interest rates and sovereign spreads employing a Factor Augmented Panel (FAP) to control for the presence of common unobservable factors. We construct a real-time dataset of macroeconomic and fiscal variables for a panel of OECD...

This paper considers the statistical analysis of large panel data sets where even after condi-tioning on common observed effects the cross section units might remain dependently distrib-uted. This could arise when the cross section units are subject to unobserved common effects and/or if there...

This paper introduces the concepts of time-specific weak and strong cross section dependence. A double-indexed process is said to be cross sectionally weakly dependent at a given point in time, t, if its weighted average along the cross section dimension (N) converges to its expectation in...