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A Comparison of Imputation Methods under Large Samples and Different Censoring Levels (PowerPoint)

Author

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  • Lopez, Jose Antonio
Abstract
Several imputation approaches using a large sample and different levels of censoring are compared and contrasted following a multiple imputation methodology. The study not only discusses these 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 and elasticities from a complete demand system. The study’s findings reveal that small variability among the mean prices from the various imputation approaches may result in relatively larger variability among the underlying parameter estimates of interest and the ultimately desired measures. This suggests that selection bias may be avoided by validating the imputation approaches and choosing the imputation method based on an analysis of the ultimately desired measures.

Suggested Citation

  • Lopez, Jose Antonio, 2011. "A Comparison of Imputation Methods under Large Samples and Different Censoring Levels (PowerPoint)," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 109894, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:109894
    DOI: 10.22004/ag.econ.109894
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    Cited by:

    1. Ji Yong Lee & Yiwei Qian & Geir Wæhler Gustavsen & Rodolfo M. Nayga & Kyrre Rickertsen, 2020. "Effects of consumer cohorts and age on meat expenditures in the United States," Agricultural Economics, International Association of Agricultural Economists, vol. 51(4), pages 505-517, July.
    2. Boonsaeng, Tullaya & Carpio, Carlos E., 2019. "A Comparison of Food Demand Estimation from Homescan and Consumer Expenditure Survey Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 44(1), January.
    3. Boonsaeng, Tullaya & Carpio, Carlos E., 2017. "Budget Allocation Patterns of American Household across Income Level in the 21 Century," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258245, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods;
    All these keywords.

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