A Comparison of Price Imputation Methods under Large Samples and Different Levels of Censoring.

Several imputation approaches under a large sample and different levels of censoring are compared and contrasted by using a multiple imputation methodology. The study not only discusses imputation approaches, but also quantifies differences in price variability before and after price imputation, evaluates the performance of each method, and estimates and compares parameters from a complete demand system. The study’s findings reveal that even when there is small variability among different price imputation approaches, there may be large variability among the underlying parameter estimates of interest and the ultimately desired measures. This suggests that a multiple imputation approach may be preferred over a comparison of mean prices among various imputation approaches.


Issue Date:
2011-05
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/104498
Total Pages:
23
JEL Codes:
imputation methods; multiple imputation; censored prices; protein demand; elasticities
Note:
Research paper




 Record created 2017-04-01, last modified 2017-08-26

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