IDEAS home Printed from https://ideas.repec.org/a/spr/chinre/v18y2025i2d10.1007_s12187-025-10215-z.html
   My bibliography  Save this article

Evidence-based Lead Indicators to Drive Equitable Early Years Services: Findings from the Restacking the Odds Study

Author

Listed:
  • Carly Molloy

    (Murdoch Children’s Research Institute
    Royal Children’s Hospital
    University of Melbourne
    North Western Melbourne Primary Health Network)

  • Nick Perini

    (Social Ventures Australia)

  • Chris Harrop

    (Bain & Company)

  • Sharon Goldfeld

    (Murdoch Children’s Research Institute
    Royal Children’s Hospital
    University of Melbourne
    Murdoch Children’s Research Institute, Royal Children’s Hospital)

Abstract

Children living in adversity are disproportionately affected by inequities in early childhood health and education service delivery, leading to differential outcomes that track into adulthood. Previous research has demonstrated the inconsistency, lack of effectiveness, and harm that human services can cause across the social sector when service delivery is poor. A significant factor preventing equitable responses to performance challenges is the lack of relevant data. In both health and education sectors there is an over-reliance on outcome or lag indicators; necessary but not sufficient to drive change. Evidence-based process or lead indicators can provide a standardised approach to service improvement that allow communities, health and education professionals, governments, and policymakers to create sustainable systems change, reduce unjust equity gaps and reduce the costs associated with poor service provision. The Restacking the Odds (RSTO) ‘proof of concept’ project aimed to address some of the data limitations practitioners and policy-makers face as they make decisions affecting early years services in Australia. An actionable, evidence-based framework of lead indicators for quality, quantity, and participation across five early years services was derived from the literature. These are summarised in this paper together with the subsequent data collected and analysed against these indicators in seven Australian communities.

Suggested Citation

  • Carly Molloy & Nick Perini & Chris Harrop & Sharon Goldfeld, 2025. "Evidence-based Lead Indicators to Drive Equitable Early Years Services: Findings from the Restacking the Odds Study," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 18(2), pages 789-823, April.
  • Handle: RePEc:spr:chinre:v:18:y:2025:i:2:d:10.1007_s12187-025-10215-z
    DOI: 10.1007/s12187-025-10215-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12187-025-10215-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12187-025-10215-z?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. James J. Heckman & Stefano Mosso, 2014. "The Economics of Human Development and Social Mobility," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 689-733, August.
    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. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.
    2. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2020. "Estimating the Production Function for Human Capital: Results from a Randomized Controlled Trial in Colombia," American Economic Review, American Economic Association, vol. 110(1), pages 48-85, January.
    3. Xi Chen & Chih Ming Tan & Xiaobo Zhang & Xin Zhang, 2020. "The effects of prenatal exposure to temperature extremes on birth outcomes: the case of China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1263-1302, October.
    4. James J. Heckman, 2019. "The Race Between Demand and Supply: Tinbergen’s Pioneering Studies of Earnings Inequality," De Economist, Springer, vol. 167(3), pages 243-258, September.
    5. Musab Kurnaz & Mehmet Soytas, 2019. "Early Childhood Investment and Income Taxation," 2019 Meeting Papers 290, Society for Economic Dynamics.
    6. Matthew O. Jackson & Stephen M. Nei & Erik Snowberg & Leeat Yariv, 2022. "The Dynamics of Networks and Homophily," NBER Working Papers 30815, National Bureau of Economic Research, Inc.
    7. Michael J. Kottelenberg & Steven F. Lehrer, 2019. "How Skills and Parental Valuation of Education Influence Human Capital Acquisition and Early Labor Market Return to Human Capital in Canada," Journal of Labor Economics, University of Chicago Press, vol. 37(S2), pages 735-778.
    8. Navarro, Salvador & Zhou, Jin, 2024. "Human capital and migration: A cautionary tale," Journal of Econometrics, Elsevier, vol. 243(1).
    9. Guido Neidhöfer, 2019. "Intergenerational mobility and the rise and fall of inequality: Lessons from Latin America," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 499-520, December.
    10. Diego Daruich & Julian Kozlowski, 2020. "Explaining Intergenerational Mobility: The Role of Fertility and Family Transfers," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 220-245, April.
    11. Esteban García-Miralles & Miriam Gensowski, 2020. "Are Children's Socio-Emotional Skills Shaped by Parental Health Shocks?," CEBI working paper series 20-21, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    12. Attanasio, Orazio & Cattan, Sarah & Fitzsimons, Emla & Meghir, Costas & Rubio-Codina, Marta, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," IZA Discussion Papers 8856, Institute of Labor Economics (IZA).
    13. Flèche, Sarah & Lekfuangfu, Warn N. & Clark, Andrew E., 2021. "The long-lasting effects of family and childhood on adult wellbeing: Evidence from British cohort data," Journal of Economic Behavior & Organization, Elsevier, vol. 181(C), pages 290-311.
    14. Christian Belzil & Arnaud Maurel & Modibo Sidibé, 2021. "Estimating the Value of Higher Education Financial Aid: Evidence from a Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 39(2), pages 361-395.
    15. Breitkopf, Laura & Chowdhury, Shyamal K. & Priyam, Shambhavi & Schildberg-Hörisch, Hannah & Sutter, Matthias, 2020. "Do economic preferences of children predict behavior?," DICE Discussion Papers 342, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    16. Timothy M. Diette & Ruth Uwaifo Oyelere, 2017. "Do limited English students jeopardize the education of other students? Lessons from the North Carolina public school system," Education Economics, Taylor & Francis Journals, vol. 25(5), pages 446-461, September.
    17. Nina Drange & Kjetil Telle, 2018. "Universal child care and inequality of opportunity. Descriptive findings from Norway," Discussion Papers 880, Statistics Norway, Research Department.
    18. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory & Urzua, Sergio, 2014. "Education, Health and Wages," IZA Discussion Papers 8027, Institute of Labor Economics (IZA).
    19. Brendan Houng & Moshe Justman, 2015. "Out-Of-Sample Predictions Of Access To Higher Education And School Value-Added," Working Papers 1511, Ben-Gurion University of the Negev, Department of Economics.
    20. Zhang, Yanan, 2021. "The role of socioeconomic status and parental investment in adolescent outcomes," Children and Youth Services Review, Elsevier, vol. 129(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:spr:chinre:v:18:y:2025:i:2:d:10.1007_s12187-025-10215-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.