Zax's INTRODUCTORY ECONOMETRICS: INTUITION, PROOF, AND PRACTICE uses an innovative approach to teach regression analysis to students with a background in only introductory economics and statistics. Using basic algebra, this text focuses on learning the most important concepts of regression at an in-depth level, rather than providing more shallow coverage of a broad overview of topics. Each chapter begins with a summary of what students will learn by the end of the chapter, and follows with careful proofs and derivations that show step-by-step how the answers are reached. Students learn the intuition behind regression analysis by moving carefully through covariance and correlations, from sample to population, confidence intervals, inference in OLS, and finally violations of the standard assumptions. The benefit to this approach is a clear and complete understanding of regression analysis that will enable the student to continue his or her studies in econometrics, or go on to a career with a solid foundation in running regressions and interpreting results.
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