
The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels.This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.
This volume investigates the current theoretical advancements and practical applications within the field of panel data econometrics. Edited by Badi H. Baltagi, a prominent figure in the discipline, the text compiles contributions from leading experts to synthesize complex methodologies. It serves as a bridge between foundational concepts and frontier research, providing a structured framework for analyzing longitudinal data across various economic sectors.
What You Will Find
Scope Limits
Experts recognize this volume as a definitive reference for researchers and graduate students working with longitudinal datasets. Readers frequently note the technical density of the prose, which is tailored for those already familiar with econometric modeling.
Page Count:
704
Publication Date:
2014-01-01
Publisher:
Oxford University Press
ISBN-10:
0190210826
ISBN-13:
9780190210823
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