Introductory econometrics : a modern approach

Title:

Author:

Wooldridge, Jeffrey M., 1960-

ISBN:

9780538850131

Personal Author:

Wooldridge, Jeffrey M., 1960-

Publication Information:

Physical Description:

xxiii, 824 pages : illustrations ; 24 cm

Subject Term:

Econometrics.

Ekonometri.

Available:*

Library	Material Type	Item Barcode	Shelf Number	Status
Searching... Pamukkale Central Library	Book	0104235	HB139 .W66 2000	Searching... Unknown

The author uses a systematic approach that is motivated by the major problems facing applied researchers and uses methods that are not available in other textbooks. Wooldridge provides separate treatments of cross section and time series analysis.

Chapter 1 The Nature of Econometrics and Economic Data	p. 1
Part 1 Regression Analysis with Cross-Sectional Data	p. 21
Chapter 2 The Simple Regression Model	p. 22
Chapter 3 Multiple Regression Analysis: Estimation	p. 68
Chapter 4 Multiple Regression Analysis: Inference	p. 116
Chapter 5 Multiple Regression Analysis: OLS Asymptotics	p. 166
Chapter 6 Multiple Regression Analysis: Further Issues	p. 182
Chapter 7 Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables	p. 218
Chapter 8 Heteroskedasticity	p. 257
Chapter 9 More on Specification and Data Problems	p. 289
Part 2 Regression Analysis with Time Series Data	p. 323
Chapter 10 Basic Regression Analysis with Time Series Data	p. 324
Chapter 11 Further Issues in Using OLS with Time Series Data	p. 360
Chapter 12 Serial Correlation and Heteroskedasticity in Time Series Regressions	p. 391
Part 3 Advanced Topics	p. 425
Chapter 13 Pooling Cross Sections Across Time. Simple Panel Data Methods	p. 426
Chapter 14 Advanced Panel Data Methods	p. 461
Chapter 15 Instrumental Variables Estimation and Two Stage Least Squares	p. 484
Chapter 16 Simultaneous Equations Models	p. 525
Chapter 17 Limited Dependent Variable Models and Sample Selection Corrections	p. 553
Chapter 18 Advanced Time Series Topics	p. 600
Chapter 19 Carrying out an Empirical Project	p. 646
Appendices
Appendix A Basic Mathematical Tools	p. 675
Appendix B Fundamentals of Probability	p. 696
Appendix C Fundamentals of Mathematical Statistics	p. 731
Appendix D Summary of Matrix Algebra	p. 776
Appendix E The Linear Regression Model in Matrix Form	p. 787
Appendix F Answers to Chapter Questions	p. 802
Appendix G Statistical Tables	p. 815
References	p. 823
Glossary	p. 831
Index	p. 849

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