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Econometric Analysis of Discrete Choice [electronic resource] : With Applications on the Demand for Housing in the U.S. and West-Germany / by Axel Börsch-Supan.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Economics and Mathematical Systems ; 296Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1987Edition: 1st ed. 1987Description: VIII, 211 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642456336
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 330.1
LOC classification:
  • HB1-846.8
Online resources:
Contents:
1: Introduction -- 1.1 Substantive Issues -- 1.2 Methodological Issues -- 1.3 Organization of the Book -- One: Econometric Foundations Discrete Choice Analysis -- 2: The Random utility Maximization Hypothesis -- 3: Functional Specification of Discrete Choice Models -- 4: The Nested Multinominal Logit Model -- 5: Panel Data -- 6: Economical Sampling and Estimation Techniques -- Two: Applications: The Demand for Housing in the United States and West Germany -- 7: Housing Choices -- 8: Housing Preferences in the United States and West Germany -- 9: The Household Formation Decision -- 10: Tracing Housing Choices Over Time.
In: Springer Nature eBookSummary: This book is a treatise on empirical microeconomics: it describes the econometric theory of qualitative choice models and the empirical practice of modeling consumer demand for a heterogeneous commodity, housing. Accordingly, the book has two parts. The first part gives a self-contained survey of discrete choice models with emphasis on nested and related multinomial logit models. The second part concentrates on three sUbstantive questions about housing demand and how they can be answered using discrete choice models. Why combine these two distinct parts in one book? It is the interaction between theory and application in empirical microeconomics on which we focus in this book. Hence, emphasis in the methodological part is on practicability, and emphasis in the applied part is on the usage of the proper econometric specifications. Econometrics means measuring economic phenomena. Because nature (ironically, in the case of economics, this is most often the government) rarely provides us with well-defined economic experiments, measurement of economic phenomena usually requires an elaborate statistical apparatus that is able to separate concurrent and confounding phenomena. Discrete choice models have proved to be a very convenient apparatus to study the complex issues in housing demand. We present models, techniques, and statistical problems of discrete choice in the first and methodological part of the book, written in conventional textbook style.
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Item type Home library Collection Call number Status Date due Barcode Item holds
E-Book E-Book Biblioteca Digital Colección SPRINGER 330.1 (Browse shelf(Opens below)) Not For Loan
Total holds: 0

1: Introduction -- 1.1 Substantive Issues -- 1.2 Methodological Issues -- 1.3 Organization of the Book -- One: Econometric Foundations Discrete Choice Analysis -- 2: The Random utility Maximization Hypothesis -- 3: Functional Specification of Discrete Choice Models -- 4: The Nested Multinominal Logit Model -- 5: Panel Data -- 6: Economical Sampling and Estimation Techniques -- Two: Applications: The Demand for Housing in the United States and West Germany -- 7: Housing Choices -- 8: Housing Preferences in the United States and West Germany -- 9: The Household Formation Decision -- 10: Tracing Housing Choices Over Time.

This book is a treatise on empirical microeconomics: it describes the econometric theory of qualitative choice models and the empirical practice of modeling consumer demand for a heterogeneous commodity, housing. Accordingly, the book has two parts. The first part gives a self-contained survey of discrete choice models with emphasis on nested and related multinomial logit models. The second part concentrates on three sUbstantive questions about housing demand and how they can be answered using discrete choice models. Why combine these two distinct parts in one book? It is the interaction between theory and application in empirical microeconomics on which we focus in this book. Hence, emphasis in the methodological part is on practicability, and emphasis in the applied part is on the usage of the proper econometric specifications. Econometrics means measuring economic phenomena. Because nature (ironically, in the case of economics, this is most often the government) rarely provides us with well-defined economic experiments, measurement of economic phenomena usually requires an elaborate statistical apparatus that is able to separate concurrent and confounding phenomena. Discrete choice models have proved to be a very convenient apparatus to study the complex issues in housing demand. We present models, techniques, and statistical problems of discrete choice in the first and methodological part of the book, written in conventional textbook style.

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