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Source: American Journal of Agricultural Economics
Resulting in 4 citations.
| 1. |
Almada, Lorenzo Nicolas McCarthy, Ian M. Tchernis, Rusty |
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What Can we Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting? American Journal of Agricultural Economics 98,4 (July 2016): 997-1017. Also: http://ajae.oxfordjournals.org/content/98/4/997 Cohort(s): NLSY79 Publisher: Oxford University Press Keyword(s): Food Stamps (see Supplemental Nutrition Assistance Program); Modeling, Instrumental Variables; Obesity; Supplemental Nutrition Assistance Program (SNAP, formerly Food Stamps); Underreporting Permission to reprint the abstract has not been received from the publisher. There is an increasing perception among policy makers that food stamp benefits contribute positively to adult obesity rates. We show that these results are heavily dependent on ones assumptions regarding the accuracy of reported food stamp participation. When allowing for misreporting, we find no evidence that SNAP participation significantly increases the probability of being obese or overweight among adults. Our results also highlight the inherent bias and inconsistency of common point estimates when ignoring misreporting, with treatment effects from instrumental variable methods exceeding the non-parametric upper bounds by over 200% in some cases. |
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Bibliography Citation
Almada, Lorenzo Nicolas, Ian M. McCarthy and Rusty Tchernis. "What Can we Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting? ." American Journal of Agricultural Economics 98,4 (July 2016): 997-1017.
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| 2. |
Fan, Maoyong |
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Do Food Stamps Contribute to Obesity in Low-Income Women? Evidence from the National Longitudinal Survey of Youth 1979 American Journal of Agricultural Economics 92,4 (July 2010): 1165-1180. Also: http://ideas.repec.org/p/bsu/wpaper/201005.html Cohort(s): NLSY79 Publisher: Blackwell Publishing, Inc. => Wiley Online Keyword(s): Body Mass Index (BMI); Economics of Gender; Family Planning; Fertility; Food Stamps (see Supplemental Nutrition Assistance Program); Income; Obesity; Poverty; Wages, Women This article estimates the effects of food stamp benefits on obesity, overweight and body mass index of low-income women. My analysis differs from previous research in three aspects. First, we exploit a rich longitudinal dataset, the National Longitudinal Survey of Youth 1979, to distinguish between full-time and part-time participation. Second, instead of making parametric assumptions on outcomes, we employ a variety of difference-in-difference matching estimators to control for selection bias. Third, we estimate both short-term (one-year participation) and long-term (three-year participation) treatment effects. We find little evidence that food stamps are responsible for obesity in female participants. |
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Bibliography Citation
Fan, Maoyong. "Do Food Stamps Contribute to Obesity in Low-Income Women? Evidence from the National Longitudinal Survey of Youth 1979." American Journal of Agricultural Economics 92,4 (July 2010): 1165-1180.
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| 3. |
Huang, Ying Huffman, Wallace Edgar Tegene, Abebayehu |
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Impacts of Economic and Psychological Factors on Women’s Obesity and Food Assistance Program Participation: Evidence from the NLSY Panel American Journal of Agricultural Economics 94, 2 (January 2012): 331-337. Also: http://ajae.oxfordjournals.org/content/94/2/331.abstract Cohort(s): NLSY79 Publisher: Oxford University Press Keyword(s): Body Mass Index (BMI); Data Linkage (also see Record Linkage); Food Stamps (see Supplemental Nutrition Assistance Program); Nutritional Status/Nutrition/Consumption Behaviors; Obesity; Regions; Rosenberg Self-Esteem Scale (RSES) (see Self-Esteem); Rotter Scale (see Locus of Control) Permission to reprint the abstract has not been received from the publisher. Over the past thirty-five years, the U.S. adult obesity rate has more than doubled from roughly 15% to 35%, reflecting a general diffusion of obesity across all segments of the adult population (USDHHS). Obesity is a concern because it increases the risk for cardiovascular diseases, diabetes, and most forms of cancer, except for lung. Earlier studies of obesity of U.S. adults have largely focused on data in a single cross-section or one round of a panel survey. Chen and Huffman (2010) show that food and drink prices significantly affect U.S. women’s probability of being obese but not for men. However, the impact of individual food and drink prices are not always as expected. © The Author (2011). Published by Oxford University Press on behalf of the Agricultural and Applied Economics Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com |
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Bibliography Citation
Huang, Ying, Wallace Edgar Huffman and Abebayehu Tegene. "Impacts of Economic and Psychological Factors on Women’s Obesity and Food Assistance Program Participation: Evidence from the NLSY Panel." American Journal of Agricultural Economics 94, 2 (January 2012): 331-337.
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| 4. |
Ulimwengu, John M. Kraybill, David S. |
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Poverty over Time and Location: An Examination of Metro/Nonmetro Differences American Journal of Agricultural Economics 86,5 (December 2004): 1282-1289. Also: http://www.jstor.org/stable/3697942 Cohort(s): NLSY79 Publisher: Blackwell Publishing, Inc. => Wiley Online Keyword(s): Family Income; Family Models; Family Studies; Geocoded Data; Poverty; Rural/Urban Differences The article analyzes the differences between dynamically poor living in metropolitan and nonmetropolitan areas in the U.S. using a framework that incorporates both time and space. A dynamically poor individual is defined as someone whose income has been below the poverty line for at least one year. There are two categories of dynamic poverty. Persistent poverty applies to individuals poor for ten years or more. Transitory poverty applies to individuals poor for one to nine years. The official poverty line in the U.S. represents the cost of acquiring a minimum basket of goods for families of various sizes. The key indicators, expected living standard of the poor and the probability of remaining poor, are based on a living-standards model that adjusts for local and individual characteristics. These two indicators reveal whether there are locational differences in living standards and poverty after controlling for differences in the values of characteristics and the returns to characteristics. Data are a geocoded version of the National Longitudinal Survey of Youth (NLSY79), a nationally representative sample of 12,686 individuals aged 14-21 in 1978. |
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Bibliography Citation
Ulimwengu, John M. and David S. Kraybill. "Poverty over Time and Location: An Examination of Metro/Nonmetro Differences." American Journal of Agricultural Economics 86,5 (December 2004): 1282-1289.
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