Overview

Econometric Analysis serves as a bridge between an introduction to the field of econometrics and the professional literature for social scientists and other professionals in the field of social sciences, focusing on applied econometrics and theoretical background. This book provides a broad survey of the field of econometrics that allows the reader to move from here to practice in one or more specialized areas. At the same time, the reader will gain an appreciation of the common foundation of all the fields presented and use the tools they employ.

Full Product Details

Author:   William Greene
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   7th edition
Dimensions:   Width: 1.00cm , Height: 1.00cm , Length: 1.00cm
Weight:   1.700kg
ISBN:  

9780131395381

ISBN 10:   0131395386
Pages:   1232
Publication Date:   02 February 2011
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9780273753568
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Part I: The Linear Regression Model Chapter 1: Econometrics Chapter 2: The Linear Regression Model Chapter 3: Least Squares Chapter 4: The Least Squares Estimator Chapter 5: Hypothesis Tests and Model Selection Chapter 6: Functional Form and Structural Change Chapter 7: Nonlinear, Semiparametric, and Nonparametric Regression Models Chapter 8: Endogeneity and Instrumental Variable Estimation Part II: Generalized Regression Model and Equation Systems Chapter 9: The Generalized Regression Model and Heteroscedasticity Chapter 10: Systems of Equations Chapter 11: Models 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 Chapter 16: Bayesian Estimation and Inference Part IV: Cross Sections, Panel Data, and Microeconometrics Chapter 17: Discrete Choice Chapter 18: Discrete Choices and Event Counts Chapter 19: Limited Dependent Variables-Truncation, Censoring, and Sample Selection Part V: Time Series and Macroeconometrics Chapter 20: Serial Correlation Chapter 21: Models with Lagged Variables Chapter 22: Time-Series Models Chapter 23: Nonstationary Data Part VI: Appendices Appendix A: Matrix Algebra Appendix B: Probability and Distribution Theory Appendix C: Estimation and Inference Appendix D: Large-Sample Distribution Theory Appendix E: Computation and Optimization Appendix F: Data Sets Used in Applications Appendix G: Statistical Tables

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