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Welfare Measurement and Poverty Targeting Based on Participatory Wealth Rankings

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  • Martin Wiegand

    (Vrije Universiteit Amsterdam)

Abstract

Participatory wealth rankings (PWRs) present an inclusive and inexpensive targeting method to identify poor households. They tend to be well received by participants but point to a systematically different understanding of welfare than implied by consumption-based rankings. This suggests that PWRs could be used as the basis for alternative welfare measures that aim to reflect local perceptions of poverty. This paper demonstrates how such a measure can be constructed, using data from a field experiment on poverty targeting in Indonesia. It then explores the potential impact of using this welfare measure as targeting goal on participants’ and village leaders’ satisfaction. I find that higher targeting accuracy—using the PWR-based measure as benchmark—increases satisfaction with the program. However, after controlling for targeting accuracy, the PWR does not lead to discernibly higher satisfaction than a proxy means targeting mechanism. The PWRs thus seem to be appreciated for their resulting allocations rather than valued intrinsically. I also find that targeting accuracy explains satisfaction outcomes better when it is measured against PWR-based welfare rather than predicted consumption. This holds true even for communities where no actual PWRs had been conducted. The results suggest that the information contained in PWRs can be used as a meaningful basis for targeting and poverty measurement.

Suggested Citation

  • Martin Wiegand, 2020. "Welfare Measurement and Poverty Targeting Based on Participatory Wealth Rankings," Tinbergen Institute Discussion Papers 20-086/V, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20200086
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    References listed on IDEAS

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    1. Shaffer, Paul, 2013. "Ten Years of “Q-Squared”: Implications for Understanding and Explaining Poverty," World Development, Elsevier, vol. 45(C), pages 269-285.
    2. Adama Bah & Samuel Bazzi & Sudarno Sumarto & Julia Tobias, 2019. "Finding the Poor vs. Measuring Their Poverty: Exploring the Drivers of Targeting Effectiveness in Indonesia," The World Bank Economic Review, World Bank, vol. 33(3), pages 573-597.
    3. Muliadi Widjaja, 2013. "An Economic and Social Review on Indonesia’s Direct Cash Transfer Program to Poor Families in 2005," Working Papers in Economics and Business 201304, Faculty of Economics and Business, University of Indonesia, revised Apr 2013.
    4. Vivi Alatas & Abhijit Banerjee & Rema Hanna & Benjamin A. Olken & Ririn Purnamasari & Matthew Wai-Poi, 2019. "Does Elite Capture Matter? Local Elites and Targeted Welfare Programs in Indonesia," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 334-339, May.
    5. Lisa Cameron & Manisha Shah, 2014. "Can Mistargeting Destroy Social Capital and Stimulate Crime? Evidence from a Cash Transfer Program in Indonesia," Economic Development and Cultural Change, University of Chicago Press, vol. 62(2), pages 381-415.
    6. Kanbur, Ravi & Shaffer, Paul, 2007. "Epistemology, Normative Theory and Poverty Analysis: Implications for Q-Squared in Practice," World Development, Elsevier, vol. 35(2), pages 183-196, February.
    7. David P. Coady & Susan W. Parker, 2009. "Targeting Performance under Self-selection and Administrative Targeting Methods," Economic Development and Cultural Change, University of Chicago Press, vol. 57(3), pages 559-587, April.
    8. Muliadi Widjaja, 2012. "An Economic and Social Review on Indonesia's Direct Cash Transfer Program to Poor Families in 2005," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 60, pages 197-212, August.
    9. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
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    More about this item

    Keywords

    poverty; targeting preferences; welfare measures; participatory wealth ranking;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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