New Chapter 15 covering simultaneous equation models. The key concepts of the simultaneity problem, the identification problem, indirect least-squares (ILS) and two-stage least-squares (2SLS) are introduced.
An appendix to Chapter 1 provides a list of web sites directing the student to a variety of economic data.
Chapter 3 now covers bootstrap sampling. Monte Carlo (simulation) experiments are introduced in extending the discussion of the sampling, or probability, distribution of a random variable and the Central Limit Theorem (CLT).
Chapter 11 on heteroscedasticity includes White's general test of heteroscedasticity and White's heteroscedasticity-corrected standard errors and t-statistics.
· Chapter 14, Selected Topics in Single Regression includes spurious regression, the unit root text of nonstationarity and random-walk models.
Data Disk included in text
Answers to odd-numbered problems included in text.
Introduces econometrics to the beginner in a relaxed but informative style.
Very little algebra or calculus used. Only very easy proofs used.
After teaching for more than 28 years at the City University of New York, He is currently a professor of Economics in the Department of Social Sciences at the U.S. Military Academy at West Point, New York. Dr. Gujarati received his M.Com. degree from the University of Bombay in 1960, his M.B.A. degree from the University of Chicago in 1963, and his Ph.D. degree from the University of Chicago in 1965. Dr. Gujarati has published extensively in recognized national and international journals, such as the Review of Economics and Statistics, the Economic Journal, the Journal of Financial and Quantitative Analysis, the Journal of Business, the American Statistician, and the Journal of Industrial and Labor Relations.