An Experimental Evaluation of the Impacts of SNAP Employment and Training Pilots on Service Receipt, Labor Market Outcomes, and SNAP Participation
Author
Abstract
Suggested Citation
DOI: 10.1002/aepp.70011
Download full text from publisher
References listed on IDEAS
- David Card & Jochen Kluve & Andrea Weber, 2018.
"What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations,"
Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 894-931.
- Card, David & Kluve, Jochen & Weber, Andrea, 2015. "What works? A meta analysis of recent active labor market program evaluations," Ruhr Economic Papers 572, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Card, David & Kluve, Jochen & Weber, Andrea, 2015. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," IZA Discussion Papers 9236, IZA Network @ LISER.
- David Card & Jochen Kluve & Andrea Weber, 2015. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," NBER Working Papers 21431, National Bureau of Economic Research, Inc.
- Robert Moffitt & John Abowd & Christopher Bollinger & Michael Carr & Charles Hokayem & Kevin McKinney & Emily Wiemers & Sisi Zhang & James Ziliak, 2022.
"Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 1-11, December.
- Moffitt, Robert A. & Abowd, John & Bollinger, Christopher & Carr, Michael & Hokayem, Charles & McKinney, Kevin & Wiemers, Emily & Ziliak, James, 2022. "Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data," Economics Working Paper Archive 66677, The Johns Hopkins University,Department of Economics.
- Robert A. Moffitt & John M. Abowd & Christopher R. Bollinger & Michael D. Carr & Charles M. Hokayem & Kevin L. McKinney & Emily E. Wiemers & Sisi Zhang & James P. Ziliak, 2022. "Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data," NBER Working Papers 29737, National Bureau of Economic Research, Inc.
- Robert Moffitt & John Abowd & Christopher Bollinger & Michael Carr & Charles Hokayem & Kevin McKinney & Emily Wiemers & Sisi Zhang & James Ziliak, 2022. "Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data," Papers 2202.00713, arXiv.org.
- Moffitt, Robert A. & Bollinger, Christopher R. & Hokayem, Charles M. & Wiemers, Emily & Abowd, John M. & Carr, Michael & McKinney, Kevin Lee & Zhang, Sisi & Ziliak, James P., 2022. "Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data," IZA Discussion Papers 15093, IZA Network @ LISER.
- Lawrence F. Katz & Alan B. Krueger, 2019. "Understanding Trends in Alternative Work Arrangements in the United States," NBER Working Papers 25425, National Bureau of Economic Research, Inc.
- James Mabli & James C. Ohls, 2012. "Supplemental Nutrition Assistance Program Dynamics and Employment Transitions: The Role of Employment Instability," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(1), pages 187-213.
- Parke E. Wilde & Irma Arteaga, 2024. "Household food security responses for SNAP participants and nonparticipants," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(4), pages 1338-1354, December.
- Leah Shiferaw & Sarah Dolfin & Andrei Streke, 2024. "The Effects of Employment and Training Programs for Populations with Low Incomes: Evidence from the Pathways Clearinghouse," Journal of Labor Research, Springer, vol. 45(3), pages 385-402, September.
- James Mabli & James C. Ohls, 2012. "Supplemental Nutrition Assistance Program Dynamics and Employment Transitions: The Role of Employment Instability," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(1), pages 187-213.
- Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
- Chad D. Meyerhoefer & Muzhe Yang, 2011.
"The Relationship between Food Assistance and Health: A Review of the Literature and Empirical Strategies for Identifying Program Effects,"
Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 304-344.
- Chad D. Meyerhoefer & Muzhe Yang, 2011. "The Relationship between Food Assistance and Health: A Review of the Literature and Empirical Strategies for Identifying Program Effects," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 304-344.
- Michael D. Carr & Robert A. Moffitt & Emily E. Wiemers, 2022. "Reconciling Trends in Male Earnings Volatility: Evidence from the SIPP Survey and Administrative Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 26-32, December.
- Sheena McConnell & Peter Z. Schochet & Dana Rotz & Ken Fortson & Paul Burkander & Annalisa Mastri, 2021. "The Effects of Employment Counseling on Labor Market Outcomes for Adults and Dislocated Workers: Evidence from a Nationally Representative Experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1249-1287, September.
- Lawrence F. Katz & Jonathan Roth & Richard Hendra & Kelsey Schaberg, 2022.
"Why Do Sectoral Employment Programs Work? Lessons from WorkAdvance,"
Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 249-291.
- Lawrence F. Katz & Jonathan Roth & Richard Hendra & Kelsey Schaberg, 2020. "Why Do Sectoral Employment Programs Work? Lessons from WorkAdvance," NBER Working Papers 28248, National Bureau of Economic Research, Inc.
- Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
- Douglas Almond & Hilary W. Hoynes & Diane Whitmore Schanzenbach, 2011.
"Inside the War on Poverty: The Impact of Food Stamps on Birth Outcomes,"
The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 387-403, May.
- Douglas Almond & Hilary W. Hoynes & Diane Whitmore Schanzenbach, 2008. "Inside the War on Poverty: The Impact of Food Stamps on Birth Outcomes," NBER Working Papers 14306, National Bureau of Economic Research, Inc.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
- Tutz, Gerhard & Pößnecker, Wolfgang & Uhlmann, Lorenz, 2015. "Variable selection in general multinomial logit models," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 207-222.
- Hauzenberger, Niko & Huber, Florian & Klieber, Karin & Marcellino, Massimiliano, 2025.
"Bayesian neural networks for macroeconomic analysis,"
Journal of Econometrics, Elsevier, vol. 249(PC).
- Niko Hauzenberger & Florian Huber & Karin Klieber & Massimiliano Marcellino, 2022. "Bayesian Neural Networks for Macroeconomic Analysis," Papers 2211.04752, arXiv.org, revised Apr 2024.
- Hauzenberger, Niko & Huber, Florian & Klieber, Karin & Marcellino, Massimiliano, 2024. "Bayesian Neural Networks for Macroeconomic Analysis," CEPR Discussion Papers 19381, Centre for Economic Policy Research.
- Oxana Babecka Kucharcukova & Jan Bruha, 2016. "Nowcasting the Czech Trade Balance," Working Papers 2016/11, Czech National Bank, Research and Statistics Department.
- Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020.
"Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model,"
International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
- Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
- Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," CESifo Working Paper Series 6457, CESifo.
- Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2019. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model," Jena Economics Research Papers 2019-006, Friedrich-Schiller-University Jena.
- Hou-Tai Chang & Ping-Huai Wang & Wei-Fang Chen & Chen-Ju Lin, 2022. "Risk Assessment of Early Lung Cancer with LDCT and Health Examinations," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
- Margherita Giuzio, 2017. "Genetic algorithm versus classical methods in sparse index tracking," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 40(1), pages 243-256, November.
- Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
- Hajime Shimao & Sung Joo Kim & Warut Khern-Am-Nuai & Maxime C. Cohen, 2025. "Revisiting the CEO Effect Through a Machine Learning Lens," Management Science, INFORMS, vol. 71(6), pages 5396-5408, June.
- Wang, Qiao & Zhou, Wei & Cheng, Yonggang & Ma, Gang & Chang, Xiaolin & Miao, Yu & Chen, E, 2018. "Regularized moving least-square method and regularized improved interpolating moving least-square method with nonsingular moment matrices," Applied Mathematics and Computation, Elsevier, vol. 325(C), pages 120-145.
- Dmitriy Drusvyatskiy & Adrian S. Lewis, 2018. "Error Bounds, Quadratic Growth, and Linear Convergence of Proximal Methods," Mathematics of Operations Research, INFORMS, vol. 43(3), pages 919-948, August.
- Mkhadri, Abdallah & Ouhourane, Mohamed, 2013. "An extended variable inclusion and shrinkage algorithm for correlated variables," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 631-644.
- Lucian Belascu & Alexandra Horobet & Georgiana Vrinceanu & Consuela Popescu, 2021. "Performance Dissimilarities in European Union Manufacturing: The Effect of Ownership and Technological Intensity," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
- Perry Ferrell & Joshua C. Hall & Yang Zhou, 2025. "The Economics of External Information and Risky Behavior: A Case Study of Avalanche Forecasting and Backcountry Incidents," American Journal of Economics and Sociology, Wiley Blackwell, vol. 84(3), pages 503-519, May.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2025.
"Specification Choices in Quantile Regression for Empirical Macroeconomics,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(1), pages 57-73, January.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Specification Choices in Quantile Regression for Empirical Macroeconomics," Working Papers 22-25, Federal Reserve Bank of Cleveland.
- Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2024. "Specification Choices in Quantile Regression for Empirical Macroeconomics," CEPR Discussion Papers 18901, Centre for Economic Policy Research.
- Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
- Jaime Oliver Huidobro & Alberto Antonioni & Francesca Lipari & Ignacio Tamarit, 2022. "Social capital as a network measure provides new insights on economic growth," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-18, August.
- Shuichi Kawano, 2014. "Selection of tuning parameters in bridge regression models via Bayesian information criterion," Statistical Papers, Springer, vol. 55(4), pages 1207-1223, November.
- Yize Zhao & Matthias Chung & Brent A. Johnson & Carlos S. Moreno & Qi Long, 2016. "Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1427-1439, October.
- Chuliá, Helena & Garrón, Ignacio & Uribe, Jorge M., 2024.
"Daily growth at risk: Financial or real drivers? The answer is not always the same,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 762-776.
- Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2022. ""Daily Growth at Risk: financial or real drivers? The answer is not always the same"," IREA Working Papers 202208, University of Barcelona, Research Institute of Applied Economics, revised Jun 2022.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:apecpp:v:48:y:2026:i:1:p:106-122. See general information about how to correct material in RePEc.
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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)2040-5804 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/wly/apecpp/v48y2026i1p106-122.html