Greene W.H. Econometric Analysis

8th Global Edition. — Pearson Education Limited, 2020. — 1320 p. — ISBN 1292231130, 9781292231136.This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For first-year graduate courses in Econometrics for Social Scientists. Bridging the gap between social science studies and econometric analysis Designed to bridge the gap between social science studies and field-econometrics,Econometric Analysis,8th Edition, Global 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 sufficient 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 field.The Linear Regression Model.
Econometrics.
The Linear Regression Model.
Least Squares Regression.
Estimating the Regression Model bv Least Squares.
Hypothesis Tests and Model Selection.
Functional Form, Difference in Differences, and Structural Change.
Nonlinear, Semiparametric, and Nonparametric Regression Models.
Endogeneity and Instrumental Variable Estimation.
Generalized Regression Model and Equation Systems.
The Generalized Regression Model and Heteroscedasticity.
Systems of Regression Equations.
Models for Panel Data.
Estimation Methodology.
Estimation Frameworks in Econometrics.
Minimum Distance Estimation and the Generalized Method of Moments.
Maximum Likelihood Estimation.
Simulation-Based Estimation and Inference and Random Parameter Models.
Bayesian Estimation and Inference.
Cross Sections, Panel Data, and Microeconometrics.
Binary Outcomes and Discrete Choices.
Multinomial Choices and Event Counts.
Limited Dependent Variables-Truncation. Censoring, and Sample Selection.
Time Series and Macroeconometrics.
Serial Correlation.
Nonstationary Data.
Online Appendices.