Logo

Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand

Large book cover: Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand

Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand
by

Publisher: The MIT Press
ISBN/ASIN: 0262200554
ISBN-13: 9780262200554
Number of pages: 272

Description:
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. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques.

Home page url

Download or read it online for free here:
Download link
(PDF/PS)

Similar books

Book cover: Studies in Econometric MethodStudies in Econometric Method
by - J. Wiley and Sons
Econometrics is a branch of economics in which economic theory and statistical methods are fused in the analysis of numerical data. The studies in this volume discuss in an expository style some problems of statistical method in econometrics.
(13612 views)
Book cover: Statistical Tools for EconomistsStatistical Tools for Economists
by - University of California, Berkeley
The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.
(21081 views)
Book cover: Financial EconometricsFinancial Econometrics
by - BookBoon
This is a step-by-step guide to financial econometrics using EViews 6.0 statistical package. It contains brief overviews of econometric concepts, models and data analysis techniques followed by examples of how they can be implemented in EViews.
(15985 views)
Book cover: EconometricsEconometrics
by - 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.
(21640 views)