Revenue curves under Different markets
Econometrics
Hayashi's
Econometrics promises to be the next great synthesis of modern econometrics. It
covers all the standard material necessary for understanding the principal
techniques of econometrics from ordinary least squares through cointegration.
The book is also distinctive in developing both time-series and cross-section
analysis fully.
Econometrics has many useful features and covers
all the important topics in econometrics 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 generalized
methods of moments (GMM). 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 manner. Eight of the ten chapters include a serious empirical
application drawn from labor economics, industrial organization, domestic and
international finance, and macroeconomics.
The empirical exercises at the end of each
chapter provide students a hands-on experience applying the techniques covered
in the chapter. The exposition is rigorous yet accessible to students who have
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 those who intend to write a thesis on
applied topics, the empirical applications of the book are a good way to learn
how to conduct empirical research. For the theoretically inclined, the
no-compromise treatment of the basic techniques is good preparation for more
advanced theory courses.
I’ve desired to post about something similar to this on one of my blogs and this has given me an idea. Private tutor near Bethesda Cool Mat.
ReplyDelete