000 02497nam a22002297a 4500
005 20260407112123.0
008 260407b |||||||| |||| 00| 0 eng d
020 _a9780691010182
028 _a: Technical Bureau India Pvt. Ltd.
_b: 4794/23, 1s Floor, Ansari Road, Daryaganj, New Delhi
_c: TB4386
_d: 1/4/2026
082 _a330.015 HAY
100 _aHayashi, Fumio.
245 _aEconometrics
_c/ Fumio Hayashi.
260 _aNew Jersey
_b: Princeton University Press
_c , 2000.
300 _a683p.
_c: 24cm.
365 _b8313
520 _aEconometrics provides first-year graduate students with a thoroughly modern introduction to the subject, covering all the standard material necessary for understanding the principal techniques of econometrics, from ordinary least squares through cointegration. The book is distinctive in developing both time-series and cross-section analysis fully, giving readers a unified framework for understanding and integrating results. Econometrics covers all the important topics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety of models, such as probit and tobit, are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient way. Virtually all the chapters include empirical applications drawn from labor economics, industrial organization, domestic and international finance, and macroeconomics. These empirical exercises provide students with hands-on experience applying the techniques covered. The exposition is rigorous yet accessible, requiring a working knowledge of very basic linear algebra and probability theory. All the results are stated as propositions so that students can see the points of the discussion and also the conditions under which those results hold. Most propositions are proved in the text. For students who intend to write a thesis on applied topics, the empirical applications in Econometrics are an excellent way to learn how to conduct empirical research. For theoretically inclined students, the no-compromise treatment of basic techniques is an ideal preparation for more advanced theory courses.
650 _a GMM Panel
650 _aData Regression Cointegration
650 _aEconometrics
700 _aFumio Hayashi
942 _cBOOK
999 _c67769
_d67769