Abstract
The prevalence of obesity among US citizens has grown rapidly over the last few decades, especially among low-income individuals. This has led to questions about the effectiveness of nutritional assistance programs such as the Supplemental Nutrition Assistance Program (SNAP). Previous results on the effect of SNAP participation on obesity are mixed. These findings are however based on the assumption that participation status can be accurately observed, despite significant misclassification errors reported in the literature. Using propensity score matching, we conclude that there seems to be a positive effect of SNAP participation on obesity rates for female participants and no such effect for males, a result that is consistent with several previous studies. However, an extensive sensitivity analysis reveals that the positive effect for females is sensitive to misclassification errors and to the conditional independence assumption. Thus analogous findings should also be used with caution unless examined under the prism of classification errors and of other assumptions used for the identification of causal parameters.
| Original language | English |
|---|---|
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | Journal of Applied Statistics |
| DOIs | |
| Publication status | Accepted/In press - 2017 Dec 20 |
| Externally published | Yes |
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Keywords
- misclassification
- obesity
- propensity score matching
- sensitivity analysis
- SNAP
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
Cite this
Does the supplemental nutrition assistance program really increase obesity? The importance of accounting for misclassification errors. / Vassilopoulos, Achilleas; Drichoutis, Andreas C.; Nayga, Jr, Rodolfo M.; Lazaridis, Panagiotis.
In: Journal of Applied Statistics, 20.12.2017, p. 1-10.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Does the supplemental nutrition assistance program really increase obesity? The importance of accounting for misclassification errors
AU - Vassilopoulos, Achilleas
AU - Drichoutis, Andreas C.
AU - Nayga, Jr, Rodolfo M.
AU - Lazaridis, Panagiotis
PY - 2017/12/20
Y1 - 2017/12/20
N2 - The prevalence of obesity among US citizens has grown rapidly over the last few decades, especially among low-income individuals. This has led to questions about the effectiveness of nutritional assistance programs such as the Supplemental Nutrition Assistance Program (SNAP). Previous results on the effect of SNAP participation on obesity are mixed. These findings are however based on the assumption that participation status can be accurately observed, despite significant misclassification errors reported in the literature. Using propensity score matching, we conclude that there seems to be a positive effect of SNAP participation on obesity rates for female participants and no such effect for males, a result that is consistent with several previous studies. However, an extensive sensitivity analysis reveals that the positive effect for females is sensitive to misclassification errors and to the conditional independence assumption. Thus analogous findings should also be used with caution unless examined under the prism of classification errors and of other assumptions used for the identification of causal parameters.
AB - The prevalence of obesity among US citizens has grown rapidly over the last few decades, especially among low-income individuals. This has led to questions about the effectiveness of nutritional assistance programs such as the Supplemental Nutrition Assistance Program (SNAP). Previous results on the effect of SNAP participation on obesity are mixed. These findings are however based on the assumption that participation status can be accurately observed, despite significant misclassification errors reported in the literature. Using propensity score matching, we conclude that there seems to be a positive effect of SNAP participation on obesity rates for female participants and no such effect for males, a result that is consistent with several previous studies. However, an extensive sensitivity analysis reveals that the positive effect for females is sensitive to misclassification errors and to the conditional independence assumption. Thus analogous findings should also be used with caution unless examined under the prism of classification errors and of other assumptions used for the identification of causal parameters.
KW - misclassification
KW - obesity
KW - propensity score matching
KW - sensitivity analysis
KW - SNAP
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UR - http://www.scopus.com/inward/citedby.url?scp=85038375748&partnerID=8YFLogxK
U2 - 10.1080/02664763.2017.1414165
DO - 10.1080/02664763.2017.1414165
M3 - Article
AN - SCOPUS:85038375748
SP - 1
EP - 10
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
SN - 0266-4763
ER -