A Course in Econometrics is likely to be the text most thoroughly attuned to the needs of Harvard University Press, – Business & Economics – pages. Cover: A Course in Econometrics in HARDCOVER Publication: April For example, in discussions of bivariate distributions, Goldberger points out that. HARDCOVER. $ • £ • € ISBN Publication: April Short. pages. /8 x /4 inches. 32 line illustrations, 9 tables.
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Read, highlight, and take notes, across web, tablet, and phone. 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 cpurse 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 econoketrics in introductory statistical inference, and offers a substantial ckurse 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.
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Harvard University Press Amazon. A Course in Econometrics. Contents 1 Parameter Estimation. Independence in a Bivariate Distribution.
Inference with a2 Unknoum.
Regression with X Random. Estimating a Population Relation. A Applications of Residual.
Estimation in the SimultaneousEquation Model. Appendix A Statistical and Data Tables.