Structural Analysis of Discrete Data with Econometric Applications
by Charles F. Manski, Daniel McFadden
Publisher: The MIT Press 1981
Number of pages: 504
This book provides a methodological foundation for the analysis of economic problems involving discrete data, and charts the current frontiers of this subject. The text should be useful not only for econometricians but also for the wider community of researchers involved in the structural analysis of discrete data.
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by Melvyn Fuss, Daniel L. McFadden - North-Holland
Chapters: Cost, Revenue, and Profit Functions; Symmetric Duality and Polar Production Functions; Applications of Profit Functions; General Linear Profit Function; Duality, Intermediate Inputs and Value-Added; Hick's Aggregation Theorem; 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 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.
by Eliecer E. Vargas, et al. - Regional Research Institute, WVU
CGE framework encompasses both the I-O and SAM frameworks by making demand and supply of commodities and factors dependent on prices. A CGE model simulates the working of a market economy in which prices and quantities adjust to clear all markets.