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State-level heterogeneities in US food insecurity – an assessment of long-term predictors

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  • Hoeschle, Lisa
  • Wang, Hong Holly
  • Yu, Xiaohua

Abstract

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Suggested Citation

  • Hoeschle, Lisa & Wang, Hong Holly & Yu, Xiaohua, 2024. "State-level heterogeneities in US food insecurity – an assessment of long-term predictors," 2024 Annual Meeting, July 28-30, New Orleans, LA 343686, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea22:343686
    DOI: 10.22004/ag.econ.343686
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    References listed on IDEAS

    as
    1. Coleman-Jensen, Alisha & Rabbitt, Matthew P & Gregory, Christian A & Singh, Anita, 2021. "Statistical Supplement to Household Food Security in the United States in 2020," Administrative Publications 327344, United States Department of Agriculture, Economic Research Service.
    2. Friedman, Jerome H., 2002. "Stochastic gradient boosting," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 367-378, February.
    3. Dharmasena, Senarath & Bessler, David A. & Capps, Oral, 2016. "Food environment in the United States as a complex economic system," Food Policy, Elsevier, vol. 61(C), pages 163-175.
    4. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    5. Coleman-Jensen, Alisha & Rabbitt, Matthew P & Gregory, Christian A & Singh, Anita, 2021. "Household Food Security in the United States in 2020," Economic Research Report 327186, United States Department of Agriculture, Economic Research Service.
    6. Coleman-Jensen, Alisha & Rabbitt, Matthew P. & Gregory, Christian A. & Singh, Anita, 2021. "Statistical Supplement to Household Food Security in the United States in 2020," USDA Miscellaneous 313486, United States Department of Agriculture.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Food Security And Poverty; Agricultural And Food Policy; Research Methods/Statistical Methods;
    All these keywords.

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