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

Jose Antonio Lopez

No 109894, 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association

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.

Keywords: Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 42
Date: 2011-07-26
New Economics Papers: this item is included in nep-agr
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://ageconsearch.umn.edu/record/109894/files/2011AAEA-Presentation.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea11:109894

DOI: 10.22004/ag.econ.109894

Access Statistics for this paper

More papers in 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().