Improving the Performance of Random Coefficients Demand Models

Improving the Performance of Random Coefficients Demand Models
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ISBN-10 : OCLC:809312639
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Book Synopsis Improving the Performance of Random Coefficients Demand Models by : Mathias Reynaert

Download or read book Improving the Performance of Random Coefficients Demand Models written by Mathias Reynaert and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We shed new light on the performance of Berry, Levinsohn and Pakes' (1995) GMM estimator of the aggregate random coefficient logit model. Based on an extensive Monte Carlo study, we show that the use of Chamberlain's (1987) optimal instruments overcomes most of the problems that have recently been documented with standard, non-optimal instruments. Optimal instruments reduce small sample bias, but prove even more powerful in increasing the estimator's efficiency and stability. Other recent methodological advances (MPEC, polynomial-based integration of the market shares) greatly improve computational speed, but they are only successful in terms of bias and efficiency when combined with optimal instruments.


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