Advances in Applied Econometrics: Binary Discrete Choice Models, Artificial Neural Networks, and Asymmetries in the FAST Multistage Demand System

Advances in Applied Econometrics: Binary Discrete Choice Models, Artificial Neural Networks, and Asymmetries in the FAST Multistage Demand System

The dissertation examines advancements in the methods and techniques used in the field of econometrics. These advancements include: (i) a re-examination of the underlying statistical foundations of statistical models with binary dependent variables. (ii) using feed-forward backpropagation artificial...

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Bibliographic Details
Main Author: Bergtold, Jason Scott
Other Authors: Agricultural and Applied Economics
Format: Others
Published: Virginia Tech 2014
Subjects:
bernoulli regression model
logistic regression
demand elasticities
artificial neural networks
contingent valuation
indirect separability
Online Access:http://hdl.handle.net/10919/27266
http://scholar.lib.vt.edu/theses/available/etd-04252004-234233/

Internet

http://hdl.handle.net/10919/27266
http://scholar.lib.vt.edu/theses/available/etd-04252004-234233/

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