IDEAS home Printed from https://ideas.repec.org/p/ags/aaea17/259977.html
   My bibliography  Save this paper

Households’ preferences for attributes of conditional cash transfer programs: A choice experiment in Ghana

Author

Listed:
  • Yeboah, Felix K.
  • Lupi, Frank
  • Kaplowitz, Michael D.
  • Kerr, John M.

Abstract

Conditional cash transfer (CCT) is increasingly being integrated into poverty reduction strategies in developing countries. However, debate remains over key elements of CCT programme design. Using a discrete choice model, this article examines Ghanaian households’ preferences regarding key CCT programme design elements including conditionality, targeting, and payment method. The results revealed a preference for CCT designs that target beneficiaries with limited or no productive capacity and CCT designs that are conditional on beneficiaries either investing in children's human capital or performing communal service, relative to unconditional programmes. Also, direct bank deposit was revealed as the preferred payment mode relative to receipt of cash payments or use of mobile money systems.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Yeboah, Felix K. & Lupi, Frank & Kaplowitz, Michael D. & Kerr, John M., "undated". "Households’ preferences for attributes of conditional cash transfer programs: A choice experiment in Ghana," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259977, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea17:259977
    DOI: 10.22004/ag.econ.259977
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/259977/files/Abstracts_17_07_17_11_55_44_54__172_16_20_110_0.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.259977?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    2. Marisa Coetzee, 2013. "Finding the Benefits: Estimating the Impact of The South African Child Support Grant," South African Journal of Economics, Economic Society of South Africa, vol. 81(3), pages 427-450, September.
    3. de Brauw, Alan & Hoddinott, John, 2011. "Must conditional cash transfer programs be conditioned to be effective? The impact of conditioning transfers on school enrollment in Mexico," Journal of Development Economics, Elsevier, vol. 96(2), pages 359-370, November.
    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. Galárraga, Omar & Kuo, Caroline & Mtukushe, Bulelwa & Maughan-Brown, Brendan & Harrison, Abigail & Hoare, Jackie, 2020. "iSAY (incentives for South African youth): Stated preferences of young people living with HIV," Social Science & Medicine, Elsevier, vol. 265(C).
    2. Francesco Burchi & Margherita Scarlato & Giorgio d'Agostino, 2018. "Addressing Food Insecurity in Sub‐Saharan Africa: The Role of Cash Transfers," Poverty & Public Policy, John Wiley & Sons, vol. 10(4), pages 564-589, December.
    3. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    4. Cheng, Leilei & Yin, Changbin & Chien, Hsiaoping, 2015. "Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
    5. Wen, Chieh-Hua & Huang, Chia-Jung & Fu, Chiang, 2020. "Incorporating continuous representation of preferences for flight departure times into stated itinerary choice modeling," Transport Policy, Elsevier, vol. 98(C), pages 10-20.
    6. Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2023. "The Refugee’s Dilemma: Evidence from Jewish Migration out of Nazi Germany," The Quarterly Journal of Economics, Oxford University Press, vol. 138(2), pages 1273-1345.
    7. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    8. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    9. Tina Birgitte Hansen & Jes Sanddal Lindholt & Axel Diederichsen & Rikke Søgaard, 2019. "Do Non-participants at Screening have a Different Threshold for an Acceptable Benefit–Harm Ratio than Participants? Results of a Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(5), pages 491-501, October.
    10. Doyle, Orla & Fidrmuc, Jan, 2006. "Who favors enlargement?: Determinants of support for EU membership in the candidate countries' referenda," European Journal of Political Economy, Elsevier, vol. 22(2), pages 520-543, June.
    11. Tovar, Jorge, 2012. "Consumers’ Welfare and Trade Liberalization: Evidence from the Car Industry in Colombia," World Development, Elsevier, vol. 40(4), pages 808-820.
    12. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    13. Yamada, Katsunori & Sato, Masayuki, 2013. "Another avenue for anatomy of income comparisons: Evidence from hypothetical choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 35-57.
    14. Potoglou, Dimitris & Palacios, Juan & Feijoo, Claudio & Gómez Barroso, Jose-Luis, 2015. "The supply of personal information: A study on the determinants of information provision in e-commerce scenarios," 26th European Regional ITS Conference, Madrid 2015 127174, International Telecommunications Society (ITS).
    15. Sant'Anna, Ana Claudia & Bergtold, Jason & Shanoyan, Aleksan & Caldas, Marcellus & Granco, Gabriel, 2021. "Deal or No Deal? Analysis of Bioenergy Feedstock Contract Choice with Multiple Opt-out Options and Contract Attribute Substitutability," 2021 Conference, August 17-31, 2021, Virtual 315289, International Association of Agricultural Economists.
    16. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    17. Mtimet, Nadhem & Ujiie, Kiyokazu & Kashiwagi, Kenichi & Zaibet, Lokman & Nagaki, Masakazu, 2011. "The effects of Information and Country of Origin on Japanese Olive Oil Consumer Selection," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114642, European Association of Agricultural Economists.
    18. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    19. Boyce, Christopher & Czajkowski, Mikołaj & Hanley, Nick, 2019. "Personality and economic choices," Journal of Environmental Economics and Management, Elsevier, vol. 94(C), pages 82-100.
    20. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.

    More about this item

    Keywords

    International Development; Consumer/Household Economics; Institutional and Behavioral Economics;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ags:aaea17:259977. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.