JSM 2004 - Toronto

Abstract #301604

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Activity Number: 58
Type: Contributed
Date/Time: Sunday, August 8, 2004 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #301604
Title: Comparing Impact of Alternative Approaches for Item Imputation in the Job Openings and Labor Turnover Survey
Author(s): Mark Crankshaw*+
Companies: Bureau of Labor Statistics
Address: Postal Square Bldg., Washington, DC, 20212,
Keywords: sample survey ; labor statistics ; nearest neighbor imputation ; ratio data
Abstract:

The Bureau of Labor Statistics produces monthly estimates for job openings, hires, and separations from The Job Openings and Labor Turnover Survey (JOLTS). The JOLTS survey has implemented a hot-deck nearest neighbor imputation algorithm to account for item nonresponse. For this survey, the values taken from imputation donors take the form of a ratio. The distribution of these borrowed ratios varies greatly depending on the size of the donor establishment. We wish to examine how well the profile of our imputation donors matches the profiles of reporting establishments of comparable size. If the profiles do not match we would like to measure the extent of statistical bias. We wish also to examine several variations of our current imputation approach to identify the variation that most reduces bias.

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