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Social Protection Program Spending and Household Welfare in Ghana

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  • Raju,Dhushyanth
  • Younger,Stephen D.
  • Dadzie,Christabel Ewuradjoa

Abstract

: Ghana administers multiple social protection programs. One, pensions provided by the SocialSecurity and National Insurance Trust, has a long history, but the rest of the programs have been introduced andexpanded over the past two decades. This study assesses the performance of the government of Ghana’s main socialassistance and social insurance programs. It discusses the main design and implementation parameters of the programsand summarizes existing evaluative and operational research. The study also examines patterns and trends in programbenefit spending, based on government administrative data, and the coverage rates of the programs, their incidence, andtheir effectiveness in reducing poverty and inequality, based on recent national household sample survey data.Further, the study examines the relationship between household participation in social assistance programs andexposure to adverse covariate shocks, specifically, possible weather-related shocks, based on high-resolution climaterisk maps for the country

Suggested Citation

  • Raju,Dhushyanth & Younger,Stephen D. & Dadzie,Christabel Ewuradjoa, 2023. "Social Protection Program Spending and Household Welfare in Ghana," Social Protection Discussion Papers and Notes 181666, The World Bank.
    • Handle: RePEc:wbk:hdnspu:181666
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    References listed on IDEAS

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    1. Brown, Caitlin & Ravallion, Martin & van de Walle, Dominique, 2018. "A poor means test? Econometric targeting in Africa," Journal of Development Economics, Elsevier, vol. 134(C), pages 109-124.
    2. Vivi Alatas & Abhijit Banerjee & Rema Hanna & Benjamin A. Olken & Julia Tobias, 2012. "Targeting the Poor: Evidence from a Field Experiment in Indonesia," American Economic Review, American Economic Association, vol. 102(4), pages 1206-1240, June.
    3. Barrington, Clare & Peterman, Amber & Akaligaung, Akalpa J. & Palermo, Tia & de Milliano, Marlous & Aborigo, Raymond A., 2022. "‘Poverty can break a home’: Exploring mechanisms linking cash plus programming and intimate partner violence in Ghana," Social Science & Medicine, Elsevier, vol. 292(C).
    4. Elisabetta Aurino & Aulo Gelli & Clement Adamba & Isaac Osei-Akoto & Harold Alderman, 2023. "Food for Thought?: Experimental Evidence on the Learning Impacts of a Large-Scale School Feeding Program," Journal of Human Resources, University of Wisconsin Press, vol. 58(1), pages 74-111.
    5. Francois Bourguignon & Luiz A. Pereira da Silva, 2003. "The Impact of Economic Policies on Poverty and Income Distribution : Evaluation Techniques and Tools," World Bank Publications - Books, The World Bank Group, number 15090.
    6. Stéphanie Degroote & Valery Ridde & Manuela Allegri, 2020. "Health Insurance in Sub-Saharan Africa: A Scoping Review of the Methods Used to Evaluate its Impact," Applied Health Economics and Health Policy, Springer, vol. 18(6), pages 825-840, December.
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