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 Daniel McFadden, Antti Talvitie, and Associates - University of California
From the table of contents: Theory and Estimation of Behavioral Travel Demand Models; Development, Testing, and Validaton of a Work-Trip Mode-Choice Model; Modeling Choices Other than Work-Trip; Issues in Demand Modeling and Forecasting.
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.
by Jerome Stein - Springer
Stochastic Optimal Control (SOC) is very helpful in understanding and predicting debt crises. The mathematical analysis is applied empirically to the financial debt crisis of 2008, the crises of the 1980s and the European debt crisis.