by James P. LeSage
Publisher: University of Toledo 1998
Number of pages: 284
This text provides an introduction to spatial econometrics as well as a set of MATLAB functions that implement a host of spatial econometric estimation methods. The intended audience is faculty and students involved in modeling spatial data sets using spatial econometric methods.
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by Michael Creel - Universitat Autonoma de Barcelona
Textbook for graduate econometrics, it teaches ordinary least squares, maximum likelihood estimation, restrictions and hypothesis test, stochastic regressors, exogeneity and simultaneity, numeric optimization methods, method of moments, etc.
by Thomas J. Rothenberg - Yale University Press
This book presents an attempt at unifying certain aspects of econometric theory by embedding them in a more general statistical framework. The unifying feature is the use of a priori information and the basic tool is the Cramer-Rao inequality.
by Wolfgang Härdle - Cambridge University Press
Nonparametric regression analysis has become central to economic theory. Hardle, by writing the first comprehensive and accessible book on the subject, contributed enormously to making nonparametric regression equally central to econometric practice.
by Kenneth Train - The MIT Press
This book is a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use.