IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/11425.html

Human Capital Expenditure and Its Effectiveness on Multi-Program Coverage : A Policy Prioritization Investigation

Author

Listed:
  • Guerrero, Omar A.
  • Guariso, Daniele
  • Castañeda, Gonzalo
  • Weber, Michael

Abstract

This paper uses artificial intelligence-enhanced agent computing to determine how to allocate budgetary resources within a large set of heterogeneous government programs targeting human capital. The approach considers essential features of the budget allocation process: multidimensionality, interdependencies between policy issues, and the political economy of public officials' collective action. The analysis uses highly disaggregated Mexican data covering the 2016-2022 period across 49 federal government human capital programs. It focuses on how expenditure affects program coverage, defined as the share of the population with a public problem and that has access to various government benefits to mitigate those problems, in the short run. The paper answers three research questions. First, how sensitive is program coverage to changes in public expenditure? Second, what are the structural bottlenecks behind poor coverage response? Third, what are the optimal budgetary allocations that could boost the performance of a multidimensional objective function?

Suggested Citation

  • Guerrero, Omar A. & Guariso, Daniele & Castañeda, Gonzalo & Weber, Michael, 2026. "Human Capital Expenditure and Its Effectiveness on Multi-Program Coverage : A Policy Prioritization Investigation," Policy Research Working Paper Series 11425, The World Bank.
    • Handle: RePEc:wbk:wbrwps:11425
    as

    Download full text from publisher

    File URL: https://documents.worldbank.org/curated/en/099719207012635161/pdf/IDU-39980fbc-0f6b-4ccc-a91b-fa988c9c2f98.pdf
    Download Restriction: no
    ---><---

    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:wbk:wbrwps:11425. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.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.