Analog Estimation Methods in Econometrics
by Charles F. Manski
Publisher: Chapman and Hall 1988
This book presents familiar elements of estimation theory from an analog perspective. It discusses recent developments in the theory of analog estimation and presents new results that offer flexibility in empirical research. The book seeks to raise questions and to stimulate further research.
Home page url
Download or read it online for free here:
(multiple PDF, PS files)
by Kevin Sheppard
Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer.
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 James P. LeSage - University of Toledo
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.
by Jason D. Hartline
The text presents the classical theory of economic mechanism design and introduces a new theory of approximation for mechanism design. A central theme will be the tradeoff between optimality and other desirable properties such as simplicity, etc.