IDEAS home Printed from
   My bibliography  Save this paper

Social Protection Program Spending and Household Welfare in Ghana


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


: 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

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    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, December.
    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.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Grillos, Tara, 2017. "Participatory Budgeting and the Poor: Tracing Bias in a Multi-Staged Process in Solo, Indonesia," World Development, Elsevier, vol. 96(C), pages 343-358.
    2. Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
    3. Brown, Caitlin & Calvi, Rossella & Penglase, Jacob, 2021. "Sharing the pie: An analysis of undernutrition and individual consumption in Bangladesh," Journal of Public Economics, Elsevier, vol. 200(C).
    4. Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022. "Targeting Impact versus Deprivation," NBER Working Papers 30138, National Bureau of Economic Research, Inc.
    5. Lendie Follett & Heath Henderson, 2022. "A hybrid approach to targeting social assistance," Papers 2201.01356,
    6. Tohari, Achmad & Parsons, Christopher & Rammohan, Anu, 2019. "Targeting poverty under complementarities: Evidence from Indonesia's unified targeting system," Journal of Development Economics, Elsevier, vol. 140(C), pages 127-144.
    7. Rebecca Pietrelli & Marco d’Errico & Kate Dassesse, 2021. "Measuring household food security through surveys: Do the characteristics of the enumerators matter?," Development Policy Review, Overseas Development Institute, vol. 39(6), pages 911-925, November.
    8. Onur Altındağ & Stephen D. O'Connell & Aytuğ Şaşmaz & Zeynep Balcıoğlu & Paola Cadoni & Matilda Jerneck & Aimee Kunze Foong, 2020. "Targeting humanitarian aid using administrative data: model design and validation," HiCN Working Papers 327, Households in Conflict Network.
    9. Juviliana Pereira Corrêa & Marcel Toledo Vieira & Ricardo Silva Freguglia & Admir Antônio Betarelli Junior, 2023. "Focus on cash transfer programs: assessing the eligibility of the Bolsa Família program in Brazil," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1247-1271, April.
    10. Alix-Garcia, Jennifer M. & Sims, Katharine R.E. & Costica, Laura, 2021. "Better to be indirect? Testing the accuracy and cost-savings of indirect surveys," World Development, Elsevier, vol. 142(C).
    11. Quentin Stoeffler & Francis Fontshi & Aimé Lungela, 2020. "Targeting in Practice: A Review of Existing Mechanisms for Beneficiary Selection in the Democratic Republic of Congo," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 824-829, July.
    12. Haseeb, Muhammad & Vyborny, Kate, 2022. "Data, discretion and institutional capacity: Evidence from cash transfers in Pakistan," Journal of Public Economics, Elsevier, vol. 206(C).
    13. Elsa Valli, 2017. "Essays on social protection," Economics PhD Theses 1017, Department of Economics, University of Sussex Business School.
    14. Follett, Lendie & Henderson, Heath, 2023. "A hybrid approach to targeting social assistance," Journal of Development Economics, Elsevier, vol. 160(C).
    15. Caitlin S. Brown & Martin Ravallion & Dominique van de Walle, 2017. "Are Poor Individuals Mainly Found in Poor Households? Evidence using Nutrition Data for Africa," NBER Working Papers 24047, National Bureau of Economic Research, Inc.
    16. Altındağ, Onur & O'Connell, Stephen D. & Şaşmaz, Aytuğ & Balcıoğlu, Zeynep & Cadoni, Paola & Jerneck, Matilda & Foong, Aimee Kunze, 2021. "Targeting humanitarian aid using administrative data: Model design and validation," Journal of Development Economics, Elsevier, vol. 148(C).
    17. Ravallion, Martin, 2019. "Guaranteed employment or guaranteed income?," World Development, Elsevier, vol. 115(C), pages 209-221.
    18. Aiken, Emily L. & Bedoya, Guadalupe & Blumenstock, Joshua E. & Coville, Aidan, 2023. "Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan," Journal of Development Economics, Elsevier, vol. 161(C).
    19. Henderson, Heath & Follett, Lendie, 2022. "Targeting social safety net programs on human capabilities," World Development, Elsevier, vol. 151(C).
    20. Hillebrecht, Michael & Klonner, Stefan & Pacere, Noraogo A., 2023. "The dynamics of poverty targeting," Journal of Development Economics, Elsevier, vol. 161(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:wbk:hdnspu:181666. 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: Aaron F Buchsbaum (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.