Panel Data

Badi H. Baltagi is distinguished Professor of Economics, and Senior Research Associate at the Center for Policy Research, Syracuse University. He received his Ph.D. in Economics at the University of Pennsylvania in 1979. Before joining Syracuse University, he served on the faculty at the University of Houston and Texas University. He is a fellow of the Journal of Econometrics and a recipient of the Multa and Plura Scripsit Awards from Econometric Theory.

From the Contents: Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models.- Convenient estimators for the panel probit model.- Simulation-based inference in dynamic panel probit models.- Maximum-likelihood based inference in the two-way random effects model with serially correlated time effects.- Testing poolability in a system of dynamic regressions with nonspherical disturbances.- Tobin-q: Forecast performance for hierarchical Bayes, shrinkage, heterogeneous and homogeneous panel data estimators.- The effect of uncertainty on UK investment authorisation: Homogeneous vs. heterogeneous estimators.-Reinterpreting the performance of immigrant wages from panel data.- Inflation and growth: Explaining a negative effect.- Efficiency measurement using a latent class stochastic frontier model.- Productivity and technical change: Measurement and testing.- Modeling corner solutions with panel data: Application to the industrial energy demand in France.