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Distributional Effects of Corruption When Enforcement is Biased: Theory and Evidence from Bribery in Schools in Bangladesh

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  • M. Shahe, Emran
  • Asadul, Islam
  • Forhad, Shilpi

Abstract

In many models of corruption where enforcement is unbiased and the official maximizes her income, the rich are more likely to pay bribes for their children's education, implying that corruption reduces educational inequality. We develop models of bribery that reflect the fact that, in developing countries, anti-corruption enforcement is not unbiased, and higher income of a household is associated with higher bargaining power and better quality of institutions. In models of biased enforcement, the rich are less likely to pay bribes, making bribery regressive. The OLS estimates of the effects of household income are likely to find spurious progressivity in the incidence of bribery in schools. We exploit temporary rainfall shocks to identify the ability to pay effect, while long-term rainfall differences identify the combined `poor people' and `poor area' effects. The IV estimates show that the poor are more likely to pay bribes, and the amount paid does not depend on household income. The evidence rejects the ability to pay and related models based on unbiased enforcement, and is consistent with the ``refusal to pay model'' of bargaining power where the rich decline to pay bribes. ``Free schooling'' is free only for the rich, and corruption makes the playing field skewed against the poor.

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  • M. Shahe, Emran & Asadul, Islam & Forhad, Shilpi, 2018. "Distributional Effects of Corruption When Enforcement is Biased: Theory and Evidence from Bribery in Schools in Bangladesh," MPRA Paper 84637, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:84637
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    Cited by:

    1. M. Shahe Emran & Francisco H. G. Ferreira & Yajing Jiang & Yan Sun, 2023. "Occupational dualism and intergenerational educational mobility in the rural economy: evidence from China and India," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 743-773, September.
    2. Ahsan, Md Nazmul & Emran, M. Shahe & Shilpi, Forhad, 2024. "Complementarities and intergenerational educational mobility: Theory and evidence from Indonesia," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 170-191.
    3. Ahsan, Md Nazmul & Shilpi, Forhad & Emran, Shahe, 2022. "Unintended bottleneck and essential nonlinearity: Understanding the effects of public primary school expansion on intergenerational educational mobility," MPRA Paper 113047, University Library of Munich, Germany.
    4. Ahsan, Md Nazmul & Emran, M. Shahe & Shilpi, Forhad, 2024. "On the Rank-Rank Model of Intergenerational Mobility: Pitfalls for Policy Evaluation," MPRA Paper 121676, University Library of Munich, Germany.
    5. Emran, M. Shahe & Ferreira, Francisco & Jiang, Yajing & Sun, Yan, 2019. "Intergenerational Educational Mobility in Rural Economy: Evidence from China and India," MPRA Paper 94121, University Library of Munich, Germany.

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    More about this item

    Keywords

    Corruption; Bribes; Schools; Biased Enforcement; Refusal to pay model; deterrence to bribe demand model; Inequality; Income Effect; Bargaining Power; Regressive Effects; Educational Mobility;
    All these keywords.

    JEL classification:

    • H1 - Public Economics - - Structure and Scope of Government
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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