IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v121y2021ics0190740920322751.html
   My bibliography  Save this article

An unconditional prenatal cash benefit is associated with improved birth and early childhood outcomes for Metis families in Manitoba, Canada

Author

Listed:
  • Struck, Shannon
  • Enns, Jennifer E.
  • Sanguins, Julianne
  • Chartier, Mariette
  • Nickel, Nathan C.
  • Chateau, Dan
  • Sarkar, Joykrishna
  • Burland, Elaine
  • Hinds, Aynslie
  • Katz, Alan
  • Santos, Rob
  • Chartrand, A. Frances
  • Brownell, Marni

Abstract

In Manitoba, low-income pregnant women are eligible for the Healthy Baby Prenatal Benefit (HBPB), which provides up to CAD $81.41/month during the second and third trimesters of pregnancy. In research conducted in partnership with the Manitoba Metis Federation, we examined the association of the HBPB with Metis birth and early childhood outcomes.

Suggested Citation

  • Struck, Shannon & Enns, Jennifer E. & Sanguins, Julianne & Chartier, Mariette & Nickel, Nathan C. & Chateau, Dan & Sarkar, Joykrishna & Burland, Elaine & Hinds, Aynslie & Katz, Alan & Santos, Rob & Ch, 2021. "An unconditional prenatal cash benefit is associated with improved birth and early childhood outcomes for Metis families in Manitoba, Canada," Children and Youth Services Review, Elsevier, vol. 121(C).
    • Handle: RePEc:eee:cysrev:v:121:y:2021:i:c:s0190740920322751
    DOI: 10.1016/j.childyouth.2020.105853
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740920322751
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.childyouth.2020.105853?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hajizadeh, Mohammad & Hu, Min & Bombay, Amy & Asada, Yukiko, 2018. "Socioeconomic inequalities in health among Indigenous peoples living off-reserve in Canada: Trends and determinants," Health Policy, Elsevier, vol. 122(8), pages 854-865.
    2. Verónica Amarante & Marco Manacorda & Edward Miguel & Andrea Vigorito, 2016. "Do Cash Transfers Improve Birth Outcomes? Evidence from Matched Vital Statistics, Program, and Social Security Data," American Economic Journal: Economic Policy, American Economic Association, vol. 8(2), pages 1-43, May.
    3. Paul R. Rosenbaum, 2010. "Evidence factors in observational studies," Biometrika, Biometrika Trust, vol. 97(2), pages 333-345.
    4. Rosenbaum, Paul R., 2010. "Design Sensitivity and Efficiency in Observational Studies," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 692-702.
    5. Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
    6. Chris Andersen, 2016. "The colonialism of Canada’s Métis health population dynamics: caught between bad data and no data at all," Journal of Population Research, Springer, vol. 33(1), pages 67-82, March.
    7. Roos, Leslie L. & Menec, Verena & Currie, R. J., 2004. "Policy analysis in an information-rich environment," Social Science & Medicine, Elsevier, vol. 58(11), pages 2231-2241, June.
    8. Rockhill, B. & Newman, B. & Weinberg, C., 1998. "Use and misuse of population attributable fractions," American Journal of Public Health, American Public Health Association, vol. 88(1), pages 15-19.
    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. Chartier, Mariette & Enns, Jennifer E & Nickel, Nathan C & Campbell, Rhonda & Phillips-Beck, Wanda & Sarkar, Joykrishna & Lee, Janelle Boram & Burland, Elaine & Chateau, Dan & Katz, Alan & Santos, Rob, 2020. "The association of a paraprofessional home visiting intervention with lower child maltreatment rates in First Nation families in Canada: A population-based retrospective cohort study," Children and Youth Services Review, Elsevier, vol. 108(C).
    2. Harrison, Ann E. & Lin, Justin Yifu & Xu, Lixin Colin, 2014. "Explaining Africa’s (Dis)advantage," World Development, Elsevier, vol. 63(C), pages 59-77.
    3. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    4. Tenglong Li & Kenneth A. Frank & Mingming Chen, 2024. "A Conceptual Framework for Quantifying the Robustness of a Regression-Based Causal Inference in Observational Study," Mathematics, MDPI, vol. 12(3), pages 1-14, January.
    5. Lagazio, Corrado & Persico, Luca & Querci, Francesca, 2021. "Public guarantees to SME lending: Do broader eligibility criteria pay off?," Journal of Banking & Finance, Elsevier, vol. 133(C).
    6. Tenglong Li & Kenneth A. Frank, 2020. "The probability of a robust inference for internal validity and its applications in regression models," Papers 2005.12784, arXiv.org.
    7. Tenglong Li & Ken Frank, 2022. "The probability of a robust inference for internal validity," Sociological Methods & Research, , vol. 51(4), pages 1947-1968, November.
    8. Rüdiger Mutz & Tobias Wolbring & Hans-Dieter Daniel, 2017. "The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2139-2153, September.
    9. Pablo Geraldo Bast'ias, 2024. "Credible causal inference beyond toy models," Papers 2402.11659, arXiv.org.
    10. Tenglong Li & Kenneth A. Frank, 2019. "On the probability of a causal inference is robust for internal validity," Papers 1906.08726, arXiv.org.
    11. Rüdiger Mutz & Hans-Dieter Daniel, 2012. "The generalized propensity score methodology for estimating unbiased journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 377-390, August.
    12. Edward Feser, 2013. "Isserman’s Impact," International Regional Science Review, , vol. 36(1), pages 44-68, January.
    13. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    14. Martin Ravallion, 2022. "On the Gains from Tradable Benefits‐in‐kind: Evidence for Workfare in India," Economica, London School of Economics and Political Science, vol. 89(355), pages 770-787, July.
    15. Peter Abell & Ofer Engel, 2021. "Subjective Causality and Counterfactuals in the Social Sciences: Toward an Ethnographic Causality?," Sociological Methods & Research, , vol. 50(4), pages 1842-1862, November.
    16. Shonosuke Sugasawa & Hisashi Noma, 2021. "Efficient screening of predictive biomarkers for individual treatment selection," Biometrics, The International Biometric Society, vol. 77(1), pages 249-257, March.
    17. Salvatore Bimonte & Antonella D’Agostino, 2021. "Tourism development and residents’ well-being: Comparing two seaside destinations in Italy," Tourism Economics, , vol. 27(7), pages 1508-1525, November.
    18. Michael G Baker & Jason Gurney & Jane Oliver & Nicole J Moreland & Deborah A Williamson & Nevil Pierse & Nigel Wilson & Tony R Merriman & Teuila Percival & Colleen Murray & Catherine Jackson & Richard, 2019. "Risk Factors for Acute Rheumatic Fever: Literature Review and Protocol for a Case-Control Study in New Zealand," IJERPH, MDPI, vol. 16(22), pages 1-39, November.
    19. Anand Acharya & Lynda Khalaf & Marcel Voia & Myra Yazbeck & David Wensley, 2021. "Severity of Illness and the Duration of Intensive Care," Working Papers 2021-003, Human Capital and Economic Opportunity Working Group.
    20. Cygan-Rehm, Kamila & Karbownik, Krzysztof, 2022. "The effects of incentivizing early prenatal care on infant health," Journal of Health Economics, Elsevier, vol. 83(C).

    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:eee:cysrev:v:121:y:2021:i:c:s0190740920322751. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    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.