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Public service delivery, exclusion and externalities: Theory and experimental evidence from India

Author

Listed:
  • Alex Armand

    (Institute for Fiscal Studies)

  • Britta Augsburg

    (Institute for Fiscal Studies)

  • Antonella Bancalari

    (Institute for Fiscal Studies)

  • Maitreesh Ghatak

    (Institute for Fiscal Studies)

Abstract

This study explores the interaction between the quality of public services, the implementation of user fees, and the resulting potential for exclusion, that can lead to negative externalities. Our theoretical framework takes account of the possible externalities that result from excluded users accessing alternative options in the context of sanitation, i.e., open defecation, and challenges the conventional wisdom that higher quality unequivocally leads to increased use. Instead, it highlights the ambiguity that results from a simultaneous increase in usage due to improved services (quality effect) and a decrease caused by the fees (price-elasticity effect). We then provide empirical evidence from a randomized controlled trial, where we incentivized the quality of water and sanitation services in the two largest cities of Uttar Pradesh, India. We show that higher service quality increases fee compliance but excludes some users, leading to unintended negative health externalities. Our detailed data provides evidence that results are driven by changes in caretaker behaviour. This finding highlights the need to be cautious regarding user fees, especially for public services involving significant externalities, and in settings where the users are very poor.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Alex Armand & Britta Augsburg & Antonella Bancalari & Maitreesh Ghatak, 2023. "Public service delivery, exclusion and externalities: Theory and experimental evidence from India," IFS Working Papers W23/37, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:23/37
    as

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    File URL: https://ifs.org.uk/sites/default/files/2023-11/WP202337-Public-service-delivery-exclusion-and-externalities-theory-and-experiemental-evidence-from-India.pdf
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    References listed on IDEAS

    as
    1. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2011. "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls," Papers 1201.0224, arXiv.org, revised May 2012.
    2. Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017. "Generic machine learning inference on heterogenous treatment effects in randomized experiments," CeMMAP working papers CWP61/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"," Papers 1305.6099, arXiv.org, revised Jun 2013.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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