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 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 Thomas J. Sargent, John Stachurski - QuantEcon
This website presents a series of lectures on quantitative economic modeling. From the table of contents: Data and Empirics; Tools and Techniques; Dynamic Programming; Multiple Agent Models; Time Series Models; Dynamic Programming Squared.
by Daniel McFadden - University of California, Berkeley
The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.
by Kenneth Train - Cambridge University Press
The book describes the new generation of discrete choice methods, focusing on the advances that are made possible by simulation. Researchers use these methods to examine the choices that consumers, households, firms, and other agents make.