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Econometric Analysis

Econometric Analysis

Author(s):
  • William H. Greene
  • Author: William H. Greene
    • ISBN:9789353061074
    • 10 Digit ISBN:9353061075
    • Price:Rs. 1105.00
    • Pages:1168
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


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    Designed to bridge the gap between social science studies and field-econometrics, Econometric Analysis, 8th Edition presents this ever-growing area at an accessible graduate level. The book first introduces students to basic techniques, a rich variety of models, and underlying theory that is easy to put into practice. It then presents students with a su cient theoretical background to understand advanced techniques and to recognize new variants of established models. This focus, along with hundreds of worked numerical examples, ensures that students can apply the theory to real-world application and are prepared to be successful economists in the  eld.

     

    Table of Content

    Part I The Linear Regression Model
    Chapter 1 Econometrics
    Chapter 2 T he Linear Regression Model
    Chapter 3 L east Squares Regression
    Chapter 4 Estimating the Regression Model by Least Squares
    Chapter 5 H ypothesis Tests and Model Selection
    Chapter 6 Functional Form, Difference in Differences, and Structural Change
    Chapter 7 N onlinear, Semiparametric, and Nonparametric Regression
    M odels
    Chapter 8 Endogeneity and Instrumental Variable Estimation
    Part II Generalized Regression Model and Equation Systems
    Chapter 9 T he Generalized Regression Model and Heteroscedasticity
    Chapter 10 S ystems of Regression Equations
    Chapter 11 M odels for Panel Data
    Part III Estimation Methodology
    Chapter 12 Estimation Frameworks in Econometrics
    Chapter 13 Minimum Distance Estimation and the Generalized Method of
    Moments
    Chapter 14 Maximum Likelihood Estimation
    Chapter 15 Simulation-Based Estimation and Inference and Random Parameter
    Models
    Chapter 16 Bayesian Estimation and Inference
    Part IV Cross Sections, Panel Data, and Microeconometrics
    Chapter 17 Binary Outcomes and Discrete Choices
    Chapter 18 M ultinomial Choices and Event Counts
    Chapter 19 L imited Dependent Variables—Truncation, Censoring, and
    Sample Selection
    Part V Time Series and Macroeconometrics
    Chapter 20 S erial Correlation 981
    Chapter 21 Nonstationary Data
     

    Salient Features

    1) This text is intended for a one-year graduate course for social scientists.
    2) It includes five chapters on estimation methods used in current research and five chapters on applications in micro- and macroeconometrics.
    3) Appendix E and Chapter 15 contain a description of numerical methods that will
    be useful to practicing econometricians.
    4) The author has revised the presentation throughout the book to streamline the development of topics, in some cases , to improve the clarity of
    the derivations.