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Econometric Analysis of Panel Data (Hardcover, 6th ed. 2021)
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Econometric Analysis of Panel Data (Hardcover, 6th ed. 2021)
Series: Springer Texts in Business and Economics
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This textbook offers a comprehensive introduction to panel data
econometrics, an area that has enjoyed considerable growth over the
last two decades. Micro and Macro panels are becoming increasingly
available, and methods for dealing with these types of data are in
high demand among practitioners. Software programs have fostered
this growth, including freely available programs in R and numerous
user-written programs in both Stata and EViews. Written by one of
the world's leading researchers and authors in the field,
Econometric Analysis of Panel Data has established itself as the
leading textbook for graduate and postgraduate courses on panel
data. It provides up-to-date coverage of basic panel data
techniques, illustrated with real economic applications and
datasets, which are available at the book's website on
springer.com. This new sixth edition has been fully revised and
updated, and includes new material on dynamic panels, limited
dependent variables and nonstationary panels, as well as spatial
panel data. The author also provides empirical illustrations and
examples using Stata and EViews. "This is a definitive book written
by one of the architects of modern, panel data econometrics. It
provides both a practical introduction to the subject matter, as
well as a thorough discussion of the underlying statistical
principles without taxing the reader too greatly." Professor Kajal
Lahiri, State University of New York, Albany, USA. "This book is
the most comprehensive work available on panel data. It is written
by one of the leading contributors to the field, and is notable for
its encyclopaedic coverage and its clarity of exposition. It is
useful to theorists and to people doing applied work using panel
data. It is valuable as a text for a course in panel data, as a
supplementary text for more general courses in econometrics, and as
a reference." Professor Peter Schmidt, Michigan State University,
USA. "Panel data econometrics is in its ascendancy, combining the
power of cross section averaging with all the subtleties of
temporal and spatial dependence. Badi Baltagi provides a remarkable
roadmap of this fascinating interface of econometric method,
enticing the novitiate with technical gentleness, the expert with
comprehensive coverage and the practitioner with many empirical
applications." Professor Peter C. B. Phillips, Cowles Foundation,
Yale University, USA.
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