Limited-Dependent and Qualitative Variables in Econometrics

Rating:
Summary: For Probit and Tobit Regressions....This is the book to have
Review: Any graduate student must have this book on his shleves...Maddala explains probit, logit, tobit regressions very clearly....Examples are concrete and based on daily problems....A must have!!!

Rating:
Summary: the best of it's kind
Review: in microeconometrics methods is one of the best books one could have. to acomplish this book you need another in panel data, like for example cheng hsiao's book. With this two books you have all you need to work in microeconometrics

Rating:
Summary: good book, useless index
Review: the biggest problem with this book is the poor index. it is pretty much only by author, with almost no subject listings. other than that this is one of the best guides to applied econometrics that i have seen.

Rating:
Summary: good book, useless index
Review: the biggest problem with this book is the poor index. it is pretty much only by author, with almost no subject listings. other than that this is one of the best guides to applied econometrics that i have seen.

Rating:
Summary: A Classic
Review: This book is a classic, having educated generations of Economists on how to do micro-econometrics. But, published in 1983, it is rather out of date and crying out for a new edition.

Rating:
Summary: Good, but are you REALLY sure you need this?
Review: This book surely is a classic treatment of limited dependent variable models. However, I suspect most researchers, and definitely almost all graduate stduents will NOT need this book.

1) First, it is VERY outdated. Note that this book has been written in 1983. That is more than *20* years ago. There is nothing here on nonpametric and semiparametric models, which are becoming the standard in this field. For this, a good reference would be Pagan and Ullah, which also contain results for nonparametric and semiparametric general density and regression estimation. The fact that this book is outdated not only means that lots and lots of important tools are not covered here, but it also means that it covers many results and estimators that are no longer considered important.

2) Second, and especially if you are a graduate student, all or almost all the results you will need for your courses is covered very well in textbooks that also cover a wealth of other materials (such as Wooldridge, Amemiya, Ruud, Davidson and McKinnon etc.).

So, overall, do not buy this book simply because it's in your syllabus. Have a look at it first in a library, and then decide if you really need it. But chances are that you won't. The book still deserved 5 stars for what it meant when it was first published.