2014
DOI: 10.1016/j.jeconom.2013.12.001
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Improving the performance of random coefficients demand models: The role of optimal instruments

Abstract: We shed new light on the performance of Berry, Levinsohn and Pakes' (1995) GMM estimator of the aggregate random coe¢ cient 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 e¢ ciency and stability. Other recent methodological advances… Show more

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Cited by 118 publications
(88 citation statements)
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References 31 publications
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“…For example, Berry et al (1995) utilized both the "BLP instruments" and proxies for marginal cost, and Berry et al (1999) added further cost instruments. The importance of having both types of instruments, even in a parametric setting, is supported by recent simulations in Reynaert & Verboven (2014). The results of may explain why: both types of instruments appear to be essential, at least without additional data or structure.…”
Section: Instrumental Variablesmentioning
confidence: 64%
“…For example, Berry et al (1995) utilized both the "BLP instruments" and proxies for marginal cost, and Berry et al (1999) added further cost instruments. The importance of having both types of instruments, even in a parametric setting, is supported by recent simulations in Reynaert & Verboven (2014). The results of may explain why: both types of instruments appear to be essential, at least without additional data or structure.…”
Section: Instrumental Variablesmentioning
confidence: 64%
“…It may therefore be useful to look for other ways to compute an instrument for the price. Reynaert and Verboven (2014) have recently emphasized the importance of using approximations to the optimal instruments. Their methodology appears to be flexible enough to avoid the use of characteristics of neighbouring areas in the construction of the instrument.…”
Section: Discussionmentioning
confidence: 99%
“…The estimation strategy for the demand model in 3.2 follows the algorithm of Berry et al (1995) and extends it in several dimensions (Reynaert and Verboven, 2014;Hess et al, 2006). Product xed eects account for the simultaneity problem of the mean utility δ (Nevo, 2001).…”
Section: Identication and Estimationmentioning
confidence: 99%