Advanced Search
MyIDEAS: Login to save this paper or follow this series

Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module

Contents:

Author Info

  • Hamrick, Karen S.

Abstract

The ERS Eating and Health Module, a supplement to the American Time Use Survey (ATUS), included questions on height and weight so that respondents’ Body Mass Index (BMI—a measure of body fat based on height and weight) could be calculated and analyzed with ATUS time-use data in obesity research. Some respondents did not report height and/or weight, and BMIs could not be calculated for them. Analyses focusing on correlations between BMIs and time use could be biased if respondents who did not report height and/or weight differ significantly in other observable characteristics from the rest of the survey respondents. However, findings reveal that any nonresponse bias associated with the height and weight data appears to be small and would not affect future analyses of BMIs and time-use pattern correlations.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://purl.umn.edu/131556
Download Restriction: no

Bibliographic Info

Paper provided by United States Department of Agriculture, Economic Research Service in its series Technical Bulletins with number 131556.

as in new window
Length:
Date of creation: Aug 2012
Date of revision:
Handle: RePEc:ags:uerstb:131556

Contact details of provider:
Postal: 1400 Independence Ave.,SW, Mail Stop 1800, Washington, DC 20250-1800
Phone: 202-694-5050
Fax: 202-694-5700
Email:
Web page: http://www.ers.usda.gov/
More information through EDIRC

Related research

Keywords: time use; American Time Use Survey; Eating and Health Module; nonresponse bias; item nonresponse; Body Mass Index; BMI; dissimilarity index; paradata; Health Economics and Policy; Labor and Human Capital; Research Methods/ Statistical Methods;

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Harley Frazis & Jay Stewart, 2010. "How to Think About Time-Use Data: What Inferences Can We Make About Long- and Short-Run Time Use from Time Diaries?," Working Papers 442, U.S. Bureau of Labor Statistics.
  2. Hamrick, Karen S. & Hopkins, David & McClelland, Ket, 2008. "How Much Time Do Americans Spend Eating?," Amber Waves, United States Department of Agriculture, Economic Research Service, June.
  3. Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non-response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, 04.
  4. Danubio, Maria Enrica & Miranda, Gaetano & Vinciguerra, Maria Giulia & Vecchi, Elvira & Rufo, Fabrizio, 2008. "Comparison of self-reported and measured height and weight: Implications for obesity research among young adults," Economics & Human Biology, Elsevier, vol. 6(1), pages 181-190, March.
  5. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
  6. Kyureghian, Gayaneh & Capps, Oral, Jr. & Nayga, Rodolfo M., Jr., 2011. "General Remedies to Local Problems: An Applied Researcher’s Manual to Multiple Imputation," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 108266, Agricultural and Applied Economics Association.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ags:uerstb:131556. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.