A Course in Econometrics

Arthur Stanley Goldberger, Goldberger, Arthur Stanley Goldberger

Harvard University Press, 1991 - Business & Economics - 405 pages

This text prepares first-year graduate students and advanced undergraduates for empirical research in economics, and also equips them for specialization in econometric theory, business, and sociology.

A Course in Econometrics is likely to be the text most thoroughly attuned to the needs of your students. Derived from the course taught by Arthur S. Goldberger at the University of Wisconsin-Madison and at Stanford University, it is specifically designed for use over two semesters, offers students the most thorough grounding in introductory statistical inference, and offers a substantial amount of interpretive material. The text brims with insights, strikes a balance between rigor and intuition, and provokes students to form their own critical opinions.

A Course in Econometrics thoroughly covers the fundamentals—classical regression and simultaneous equations—and offers clear and logical explorations of asymptotic theory and nonlinear regression. To accommodate students with various levels of preparation, the text opens with a thorough review of statistical concepts and methods, then proceeds to the regression model and its variants. Bold subheadings introduce and highlight key concepts throughout each chapter.

Each chapter concludes with a set of exercises specifically designed to reinforce and extend the material covered. Many of the exercises include real micro-data analyses, and all are ideally suited to use as homework and test questions.

Contents

• Relations: 1
• Univariate Probability Distributions: 11
• Multicollinearity: 23
• Univariate Case: 26
• Heteroskedasticity and Autocorrelation: 28
• Bivariate Probability Distributions: 34
• Bivariate Case: 44
• 7: 67
• 8: 79
• Asymptotic Distribution Theory: 94
• Bivariate Case: 106
• Advanced Estimation Theory: 128
• Estimating a Population Relation: 138
• Multiple Regression: 150
• Classical Regression: 160
• Exercises: 168
• Regression Algebra: 182
• Multivariate Normal Distribution: 195
• Classical Normal Regression: 204
• Hypothesis Testing: 214
• Inference with o Unknown: 223
• Issues in Hypothesis Testing: 233
• Regression Strategies: 254
• Regression with X Random: 264
• Time Series: 274
• Generalized Classical Regression: 292
• Nonlinear Regression: 308
• Regression Systems: 323
• Squares: 329
• Structural Equation Models: 337
• SimultaneousEquation Model: 351
• Estimation in the SimultaneousEquation Model: 365
• Appendix A Statistical and Data Tables: 381
• Appendix B Getting Started in GAUSS: 391
• References: 397

About the author

Arthur S. Goldberger was Professor of Economics, Emeritus, at the University of Wisconsin-Madison.

Bibliographic information

• Title: A Course in Econometrics
• Authors: Arthur Stanley Goldberger, Goldberger, Arthur Stanley Goldberger
• Edition: illustrated
• Publisher: Harvard University Press, 1991
• ISBN: 0674175441, 9780674175440
• Length: 405 pages
• Subjects: Business & Economics / Econometrics