Panel Data: Theory and Applications by Badi H. BaltagiPanel Data: Theory and Applications by Badi H. Baltagi

Panel Data: Theory and Applications

byBadi H. Baltagi

Paperback | October 19, 2010

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The present book is a collection of panel data papers, both theoretical and applied. Theoretical topics include methodology papers on panel data probit models, treatment models, error component models with an ARMA process on the time specific effects, asymptotic tests for poolability and their bootstrapped versions, confidence intervals for a doubly heteroskedastic stochastic production frontiers, estimation of semiparametric dynamic panel data models and a review of survey attrition and nonresponse in the European Community Household Panel. Applications include as different topics as e.g. the impact of uncertainty on UK investment, a Tobin-q investment model using US firm data, cost efficiency of Spanish banks, immigrant integration in Canada, the dynamics of individual health in the UK, the relation between inflation and growth among OECD and APEC countries, technical efficiency of cereal farms in England,  and employment effects of education for disabled workers in Norway.

Title:Panel Data: Theory and ApplicationsFormat:PaperbackDimensions:380 pagesPublished:October 19, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3790824550

ISBN - 13:9783790824551


Table of Contents

B.H. Baltagi: Introduction.- J.H. Abbring, G.J. van den Berg: Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models.- W. Greene: Convenient estimators for the panel probit model: Further results.- P. Contoyannis, A.M. Jones, N. Rice: Simulation-based inference in dynamic panel probit models: An application to health.- S. Karlsson, J. Skoglund: Maximum-likelihood based inference in the two-way random effects model with serially correlated time effects.- M.J.G. Bun: Testing poolability in a system of dynamic regressions with nonspherical disturbances.- B.H. Baltagi, G. Bresson, A. Pirotte: Tobin q: Forecast performance for hierarchical Bayes, shrinkage, heterogeneous and homogeneous panel data estimators.- C. Driver, K. Imai, P. Temple, G. Urga: The effect of uncertainty on UK investment authorisation: Homogeneous vs. heterogeneous estimators.- D. Hum, W. Simpson: Reinterpreting the performance of immigrant wages from panel data.- M. Gillman, M. Harris, L. Matyas: Inflation and growth: Explaining a negative effect.- L. Orea, S. Kumbhakar: Efficiency measurement using a latent class stochastic frontier model.- S. Kumbhakar: Productivity and technical change: Measurement and testing.- R. Chakir, A. Bousquet, N. Ladoux: Modeling corner solutions with panel data: Application to the industrial energy demand in France.- F. Peracchi: The European Community Household Panel: A review.- T.J. Knieser, Qi Li: Nonlinearity in dynamic adjustment: Semiparametric estimation of panel labor supply.- K. Hadri, C. Guermat, J. Whittaker: Estimation of technical inefficiency effects using panel data and doubly heteroscedastic stochastic production frontiers.- P. Egger, M. Pfaffermayr: The proper panel econometric specification of the gravity equation: A three-way model with bilateral interaction effects.- D. Parent: Employer-supported training in Canada and its impact on mobility and wages.- Ho Tsung-wu: A panel cointegration approach to the investment-saving correlation.- A. Aakvik: Estimating the employment effects of education for disabled workers in Norway.- B. Fitzenberger, C. Kurz: New insights on earnings trends across skill groups and industries in West Germany.