The heterogenous relationship of food stamp participation with body mass: Quantile regression model

Euna Han, Lisa M. Powell, Oksana Pugach

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This study explores the heterogenous relationship between Food Stamp Program (FSP) participation and body mass index (BMI) for low income individuals whose per capita family income falls in the bottom two quintiles. We estimate changes in the dispersion of the entire distribution of BMI following FSP participation using a quantile regression model in both cross-sectional and longitudinal analyses. For women, we find that the mean OLS estimate of FSP participation underestimates the extent of the positive association with BMI at the top quantiles in both cross-sectional and longitudinal individual fixed effects models. Controlling for individual fixed effects in the quantile regression model reduces the estimated magnitude of the association by a factor of three to four, although the estimates remain statistically significant for women. For men, a marginally statistically significant positive association of FSP participation with BMI is found at the top quantiles compared to no statistically significant mean estimate although the association is no longer statistically significant when time-constant individual heterogeneity is adjusted for in the individual fixed effect models.

Original languageEnglish
Pages (from-to)499-506
Number of pages8
JournalFood Policy
Volume36
Issue number4
DOIs
Publication statusPublished - 2011 Aug 1

All Science Journal Classification (ASJC) codes

  • Food Science
  • Development
  • Sociology and Political Science
  • Economics and Econometrics
  • Management, Monitoring, Policy and Law

Fingerprint Dive into the research topics of 'The heterogenous relationship of food stamp participation with body mass: Quantile regression model'. Together they form a unique fingerprint.

  • Cite this