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Book cover of Econometric analysis by William Greene

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Econometric Analysis aims to achieve two primary objectives. First, it introduces students to applied econometrics, covering basic regression analysis techniques and a variety of models used when linear models are inadequate or inappropriate. Second, it provides students with sufficient theoretical background to recognize new model variants as natural extensions within a unified set of principles.

Greene devotes significant effort to explaining the mechanics of GMM estimation, nonlinear least squares, maximum likelihood estimation, and GARCH models. To support this theoretical foundation, the book includes extensive material on maximum likelihood estimation and asymptotic results for regression models.

Modern software has simplified complex modeling, making an understanding of the underlying theory essential. By combining practical applications with theoretical insights, "Econometric Analysis" equips students with the knowledge and skills needed to navigate and extend the field of econometrics.

Author portrait of William Greene

William Greene

William Greene is Professor of Economics (emeritus) at theStern School of Business, New York University. His fields of interest are applied econometrics, panel data analysis, discrete choice modeling, production economics, health econometrics, transport economics and planning, and economics of the entertainment industry. He is also president of Econometric Software, Inc. He is the author of software LIMDEP and NLOGIT, textbooks Econometric Analysis (Ed.1 to 8), books on discrete choice modeling, Modeling Ordered Choices and Applied Choice Analysis, and over 100 articles in peer reviewed journals. He is the editor in chief of Foundations and Trends in Econometrics and of the Journal of Productivity Analysis. He has also consulted to industry, including American Society of Composers, Authors and Publishers (ASCAP), National Economic Research Associates (NERA), the U.S.EPA, Booz Allen, U.S. Postal Service and numerous others.

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