IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0268500.html
   My bibliography  Save this article

Evaluating the effect of Bolsa Familia, Brazil’s conditional cash transfer programme, on maternal and child health: A study protocol

Author

Listed:
  • Ila Rocha Falcão
  • Rita de Cássia Ribeiro-Silva
  • Flávia Jôse Oliveira Alves
  • Naiá Ortelan
  • Natanael J Silva
  • Rosemeire L Fiaccone
  • Marcia Furquim de Almeida
  • Júlia M Pescarini
  • Cinthia Soares Lisboa
  • Elzo Pereira Pinto Júnior
  • Enny S Paixao
  • Andrea J F Ferreira
  • Camila Silveira Silva Teixeira
  • Aline dos Santos Rocha
  • Srinivasa Vittal Katikireddi
  • M Sanni Ali
  • Ruth Dundas
  • Alastair Leyland
  • Laura C Rodrigues
  • Maria Yury Ichihara
  • Mauricio L Barreto

Abstract

Background: Conditional Cash Transfer Programs have been developed in Latin America in response to poverty and marked social inequalities on the continent. In Brazil, the Bolsa Familia Program (BFP) was implemented to alleviate poverty and improve living conditions, health, and education for socioeconomically vulnerable populations. However, the effect of this intervention on maternal and child health is not well understood. Methods: We will evaluate the effect of BFP on maternal and child outcomes: 1. Birth weight; 2. Preterm birth; 3. Maternal mortality; and 4. Child growth. Dynamic retrospective cohort data from the 100 Million Brazilian Cohort (2001 to 2015) will be linked to three different databases: Live Birth Information System (2004 to 2015); Mortality Information System (2011 to 2015); and Food and Nutritional Surveillance System (2008 to 2017). The definition of exposure to the BFP varies according to the outcome studied. Those who never received the benefit until the outcome or until the end of the follow-up will be defined as not exposed. The effects of BFP on maternal and child outcomes will be estimated by a combination of propensity score-based methods and weighted logistic regressions. The analyses will be further stratified to reflect changes in the benefit entitlement before and after 2012. Discussion: Harnessing a large linked administrative cohort allows us to assess the effect of the BFP on maternal and child health, while considering a wide range of explanatory and confounding variables.

Suggested Citation

  • Ila Rocha Falcão & Rita de Cássia Ribeiro-Silva & Flávia Jôse Oliveira Alves & Naiá Ortelan & Natanael J Silva & Rosemeire L Fiaccone & Marcia Furquim de Almeida & Júlia M Pescarini & Cinthia Soares L, 2022. "Evaluating the effect of Bolsa Familia, Brazil’s conditional cash transfer programme, on maternal and child health: A study protocol," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-14, May.
    • Handle: RePEc:plo:pone00:0268500
    DOI: 10.1371/journal.pone.0268500
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0268500
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0268500&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0268500?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
    ---><---

    References listed on IDEAS

    as
    1. Amanda Glassman & Denizhan Duran & Marge Koblinsky, 2013. "Impact of Conditional Cash Transfers on Maternal and Newborn Health," Policy Papers 19, Center for Global Development.
    2. Kusuma, Dian & Cohen, Jessica & McConnell, Margaret & Berman, Peter, 2016. "Can cash transfers improve determinants of maternal mortality? Evidence from the household and community programs in Indonesia," Social Science & Medicine, Elsevier, vol. 163(C), pages 10-20.
    3. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LLC, vol. 2(4), pages 358-377, 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. Lama Bou-Karroum & Domenico G Iaia & Fadi El-Jardali & Clara Abou Samra & Sabine Salameh & Zeina Sleem & Reem Masri & Aya Harb & Nour Hemadi & Nadeen Hilal & Layal Hneiny & Sahar Nassour & Mehr Gul Sh, 2024. "Financing for equity for women’s, children’s and adolescents’ health in low- and middle-income countries: A scoping review," PLOS Global Public Health, Public Library of Science, vol. 4(9), pages 1-49, September.
    2. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    3. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    4. Zhang, Yingjie & Zhang, Tianzheng & Zeng, Yingxiang & Cheng, Baodong & Li, Hongxun, 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?," Forest Policy and Economics, Elsevier, vol. 125(C).
    5. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    6. Amarendra Sharma, 2019. "Indira Awas Yojana and Housing Adequacy: An Evaluation using Propensity Score Matching," ASARC Working Papers 2019-05, The Australian National University, Australia South Asia Research Centre.
    7. Katchova, Ani L., 2010. "Agricultural Contracts and Alternative Marketing Options: A Matching Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(2), pages 1-16, May.
    8. Hirota, Haruaki & Iwata, Kazuyuki & Tanaka, Kenta, 2022. "Is public official training effective at reducing costs? Evidence from survey data on Japanese municipal mergers," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 145-158.
    9. Bemile, Esther & Anders, Sven M., 2014. "Linking Diet-Health Behaviour and Obesity using Propensity Score Matching," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182832, European Association of Agricultural Economists.
    10. Kalaj, Ermira Hoxha, 2009. "Do Remittances Alter Labor Market Participation? A Study of Albania," MPRA Paper 48271, University Library of Munich, Germany.
    11. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    12. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    13. Shapiro, Joseph & Trevino, Jorge Moreno, 2004. "Compensatory education for disadvantaged Mexican students : an impact evaluation using propensity score matching," Policy Research Working Paper Series 3334, The World Bank.
    14. Li, Linjie & Liu, Xiaming & Yuan, Dong & Yu, Miaojie, 2017. "Does outward FDI generate higher productivity for emerging economy MNEs? – Micro-level evidence from Chinese manufacturing firms," International Business Review, Elsevier, vol. 26(5), pages 839-854.
    15. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    16. Sakaue, Katsuki, 2018. "Informal fee charge and school choice under a free primary education policy: Panel data evidence from rural Uganda," International Journal of Educational Development, Elsevier, vol. 62(C), pages 112-127.
    17. Joan-Ramon Borrell & Juan Luis Jiménez & Carmen García, 2014. "Evaluating Antitrust Leniency Programs," Journal of Competition Law and Economics, Oxford University Press, vol. 10(1), pages 107-136.
    18. Domadenik, Polona & Far?nik, Daša & Pastore, Francesco, 2013. "Horizontal Mismatch in the Labour Market of Graduates: The Role of Signalling," IZA Discussion Papers 7527, Institute of Labor Economics (IZA).
    19. Francesco Serti & Chiara Tomasi, 2008. "Self-Selection and Post-Entry Effects of Exports: Evidence from Italian Manufacturing Firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 144(4), pages 660-694, December.
    20. Marusca De Castris & Guido Pellegrini, 2015. "Neighborhood Effects On The Propensity Score Matching," Working Papers 0515, CREI Università degli Studi Roma Tre, revised 2015.

    More about this item

    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:plo:pone00:0268500. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.