Studies in Applied Econometrics (Contributions to Economics),Used

Studies in Applied Econometrics (Contributions to Economics),Used

Out of Stock
SKU: SONG3790807168
Brand: Springer
$143.12 $204.46
Sold out Save $61.34
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

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 67, 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 multiequation systems. Martin Kukuk and Gerd Ronning treat 'Ordinal Variables in Microeconometric Models'. They especially deal with the case of limiteddependent 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 largescale Monte Carlo investigations.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed