This unique introduction to econometrics provides undergraduate students with acommand of regression analysis in one semester, enabling them to grasp the empirical literature andundertake serious quantitative projects of their own. It does not assume any previous exposure toprobability and statistics but does discuss the concepts in these areas that are essential foreconometrics. The bulk of the textbook is devoted to regression analysis, from simple to advancedtopics. Students will gain an intuitive understanding of the mathematical concepts; Java appletsimulations on the book's website demonstrate how the algebraic equations are derived in the textand are designed to reinforce the important concepts.After presenting theessentials of probability and statistics, the book covers simple regression analysis, multipleregression analysis, and advanced topics including heteroskedasticity, autocorrelation, large sampleproperties, instrumental variables, measurement error, omitted variables, panel data, simultaneousequations, and binary/truncated dependent variables. Two optional chapters treat additionalprobability and statistics topics. Each chapter offers examples, prep problems (bringing students"up to speed" at the beginning of a chapter), review questions, and exercises. Anaccompanying website offers students easy access to Java simulations and data sets (available inEViews, Stata, and Excel files). After a single semester spent mastering the material presented inthis book, students will be prepared to take any of the many elective courses that use econometrictechniques.? Requires no background in probability and statistics?Regression analysis focus? "Econometrics lab" with Java applet simulations onaccompanying Website
