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Item Details
| Title:
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STUDIES IN APPLIED ECONOMETRICS
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| By: |
Hans Schneeweiss (Editor), Klaus F. Zimmermann (Editor) |
| Format: |
Paperback |
| List price:
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£96.50 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3790807168 |
| ISBN 13: |
9783790807165 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
19 August, 1993 |
| Edition: |
Softcover reprint of the original 1st ed. 1993 |
| Series: |
Contributions to Economics |
| Pages: |
238 |
| Description: |
Reporting new developments in applied econometrics, the papers in this book show the use of new econometric tools to analyze economic problems. Possible ways to promote the theory of such new tools are indicated. |
| Synopsis: |
This book reports new developments in applied econometrics. All papers originated in two international workshops that were organized in the University of Munich on July 6-7, 1989, and on January 11 - 12, 1990. Financial support for these conferences by the University of Munich and the Thyssen Foundation is gratefully acknowledged. Since then all papers were substantially revised and updated. We wish to thank all authors for their patience with the revisions and Thomas Bauer, Lucie Merkle and Gisela Loos for editorial help. The ftrst section of the book collects contributions that address new "Methodological Developments". Two of them deal with problems in microeconometrics, the other two consider multi-equation systems. Martin Kukuk and Gerd Ronning treat "Ordinal Variables in Microeconometric Models". They especially deal with the case of limited-dependent variable models where some exogenous variables are either measured on an interval scale or a nominal scale. They discuss and compare two methods to deal with the problem. In his paper on "Goodness of Fit in Qualitative Choice Models: Review and Evaluation", Klaus F.Zimmermann investigates methods to summarize the predictive quality of models that deal with discrete alternatives. For these models, a widely accepted measure for evaluation like the R2, as in the case of ordinary least squares, does not exist. The paper summarizes the literature and suggests reasonable choices for evaluation on the basis of large-scale Monte Carlo investigations. |
| Illustrations: |
33 black & white tables, biography |
| Publication: |
Germany |
| Imprint: |
Physica-Verlag GmbH & Co |
| Returns: |
Returnable |
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