2018
DOI: 10.1093/aepp/ppy004
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Measuring Food Expenditure Poverty in SNAP Populations: Some Extensions with an Application to the American Recovery and Reinvestment Act

Abstract: The adequacy of the Supplemental Nutrition Assistance Program (SNAP) benefits is always an important concern. This article extends the most common measure for evaluating the adequacy of SNAP, food expenditures, and uses more comprehensive metrics to evaluate the impact of the American Recovery and Reinvestment Act (ARRA). These more comprehensive metrics are easy to implement with existing data, more closely tied to the purpose of the SNAP, and indicate a slightly larger impact of the ARRA.

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Cited by 5 publications
(3 citation statements)
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“… 4 p national average hourly wage rate cooks in the home 2004–2012 ( 29 ), T T required hours 2011–12, T a actual hours (2005–2012. Average over single-and dual-headed households) ( 12 , 13 , 24 ). …”
Section: Methods and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“… 4 p national average hourly wage rate cooks in the home 2004–2012 ( 29 ), T T required hours 2011–12, T a actual hours (2005–2012. Average over single-and dual-headed households) ( 12 , 13 , 24 ). …”
Section: Methods and Resultsmentioning
confidence: 99%
“…In terms of actual time T a the distribution for single-headed households depends on what data and time period is used, but the results are rather consistent. Across several studies the average amount of time per week in food production is about 4.60 h and the widest 95% percentile range is 1.45 to 9.21 h per week ( 12–14 , 24 ). For dual-headed households, the mean is 10.97 h per week with a 95% percentile range of 6.17 to 17.33 h per week ( 12 ).…”
Section: The 3 Areas Of Concern and Related Literaturementioning
confidence: 99%
“…Second, they give little or no attention to non-monetary aspects of poverty such as number of adults and children in family, head's health condition, number of working hours and number of jobs daily and weekly which affects the poorer income and expenditure (Noraziah et al, 2012;Beatty et al, 2014). The importance of urban-rural adjustment in poverty study has been acknowledged by most previous academics (Sicular et al, 2007;Sahn et al, 2003;Ravallion, 2007;Dodoo et al, 2007;Yanliang Yang, 2018). However, in previous poverty measurement studies, the absence of separate poverty lines between urban and rural areas had made some researchers adopt a rough adjustment based on the average prices difference between urban and rural areas and based on the official poverty line (Patmawati, 2006;Patmawati & Rahisam;2010;Zarina Kader et al, 2012).…”
Section: Food and Non-food Expenditure Patternmentioning
confidence: 99%