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Econometrics in Theory and Practice - Analysis of Cross Section, Time Series and Panel Data with Stata 15.1 (Hardcover, 1st ed. 2019)
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Econometrics in Theory and Practice - Analysis of Cross Section, Time Series and Panel Data with Stata 15.1 (Hardcover, 1st ed. 2019)
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This book introduces econometric analysis of cross section, time
series and panel data with the application of statistical software.
It serves as a basic text for those who wish to learn and apply
econometric analysis in empirical research. The level of
presentation is as simple as possible to make it useful for
undergraduates as well as graduate students. It contains several
examples with real data and Stata programmes and interpretation of
the results. While discussing the statistical tools needed to
understand empirical economic research, the book attempts to
provide a balance between theory and applied research. Various
concepts and techniques of econometric analysis are supported by
carefully developed examples with the use of statistical software
package, Stata 15.1, and assumes that the reader is somewhat
familiar with the Strata software. The topics covered in this book
are divided into four parts. Part I discusses introductory
econometric methods for data analysis that economists and other
social scientists use to estimate the economic and social
relationships, and to test hypotheses about them, using real-world
data. There are five chapters in this part covering the data
management issues, details of linear regression models, the related
problems due to violation of the classical assumptions. Part II
discusses some advanced topics used frequently in empirical
research with cross section data. In its three chapters, this part
includes some specific problems of regression analysis. Part III
deals with time series econometric analysis. It covers intensively
both the univariate and multivariate time series econometric models
and their applications with software programming in six chapters.
Part IV takes care of panel data analysis in four chapters.
Different aspects of fixed effects and random effects are discussed
here. Panel data analysis has been extended by taking dynamic panel
data models which are most suitable for macroeconomic research. The
book is invaluable for students and researchers of social sciences,
business, management, operations research, engineering, and applied
mathematics.
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