Amazon cover image
Image from Amazon.com

Econometric Analysis

By: Contributor(s): Publication details: London Pearson Education 2020Edition: Global Edition: 8th EditionDescription: 1166 P:, ill; 24cmISBN:
  • 9781292231136
Subject(s):
DDC classification:
  • 8th Edition 330.01519 GRE
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Closed Access Book Closed Access Natural Resources and Environmental Sciences Library 330.01519 GRE (Browse shelf(Opens below)) 1 Available 0029963

Table of Contents

PART I. The Linear Regression Model

1.Econometrics
2. The Linear Regression Model
3. Least Squares
4. Estimating the Regression Model by Least Squares
5. Hypothesis Tests and Model Selection
6. Functional Form, Difference in Differences and Structural Change
7. Nonlinear, Semiparametric and Nonparametric Regression Models
8. Endogeneity and Instrumental Variable Estimation

PART II. Generalized Regression Model and Systems of Equations
9. The Generalized Regression Model and Heteroscedasticity
10. Systems of Regression Equations
11. Models for Panel Data

PART III. Estimation Methodology
12. Estimation Frameworks in Econometrics
13. Minimum Distance Estimation and the Generalized Method of Moments
14. Maximum Likelihood Estimation
15. Simulation-Based Estimation and Inference and Random Parameter Models
16. Bayesian Estimation and Inference

PART IV. Cross Sections, Panel Data and Microeconometrics
17. Binary Outcomes and Discrete Choices
18. Multinomial Choices and Event Counts
19. Limited Dependent Variables, Truncation, Censoring and Sample Selection

PART V. Time Series and Macroeconometrics
20. Serial Correlation
21. 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



There are no comments on this title.

to post a comment.