This text provides a simple and straightforward introduction to econometrics for the beginner. The author's intent is to provide the student with a "user friendly," non-intimidating introduction to econometric theory and techniques. The book motivates students to understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. The audience is undergraduate economics, agricultural economics, and business administration majors, MBA students and others in the social and behavioral sciences where econometric techniques, especially the techniques of linear regression analysis, are used.
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.