Discrete Choice Methods with Simulation
by Kenneth Train
Publisher: Cambridge University Press 2003
Number of pages: 400
Simulation methods have unshackled discrete choice analysis, breaking down the computational barriers to use of plausible, interpretable models. Kenneth Train provides an excellent road map for both econometric specialists and practitioners through this comprehensive, readable treatment that pulls together the research literature and provides many new and useful results.
Home page url
Download or read it online for free here:
(multiple PDF files)
by Tom Domencich, Daniel L. McFadden - North-Holland Publishing
'Urban Travel Demand' develops a theory of demand for populations of individual economic consumers which we believe is a logical and natural generalization of traditional theory to encompass choice among discrete alternatives.
by Kenneth Train - The MIT Press
Optimal Regulation addresses the central issue of regulatory economics -- how to regulate firms in a way that induces them to produce and price 'optimally'. It synthesis an extensive theoretical literature on what constitutes optimality.
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 Harold T. Davis - The Principia Press
The object of this book is to set forth the present status of the problem of analyzing that very extensive set of data known as economic time series. This perplexing problem has engaged the attention of economists and statisticians for many years.