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The Missing Transfers: Estimating Misreporting in Dyadic Data

Author

Listed:
  • Margherita Comola

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, RITM - Réseaux Innovation Territoires et Mondialisation - Université Paris-Saclay)

  • Marcel Fafchamps

    (University of Oxford)

Abstract
Many studies have used self-reported dyadic data without exploiting the pattern of discordant answers. In this article we propose a maximum likelihood estimator that deals with misreporting in a systematic way. We illustrate the methodology using dyadic data on interhousehold transfers from the village of Nyakatoke in Tanzania. We show that not taking reporting bias into account leads to serious underestimation of the total amount of transfers between villagers. We also provide suggestive evidence that reporting bias can affect inference about estimated coefficients. The method introduced here is applicable whenever the researcher has two discordant measurements of the same dependent variable.

Suggested Citation

  • Margherita Comola & Marcel Fafchamps, 2017. "The Missing Transfers: Estimating Misreporting in Dyadic Data," PSE-Ecole d'économie de Paris (Postprint) halshs-01630358, HAL.
    • Handle: RePEc:hal:pseptp:halshs-01630358
    DOI: 10.1086/690810
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    References listed on IDEAS

    as
    1. Margherita Comola & Marcel Fafchamps, 2014. "Testing Unilateral and Bilateral Link Formation," Economic Journal, Royal Economic Society, vol. 124(579), pages 954-976, September.
    2. Gaulier, Guillaume & Zignago, Soledad, 2004. "Notes on BACI (analytical database of international trade). 1989-2002 version," MPRA Paper 32401, University Library of Munich, Germany.
    3. Rosenzweig, Mark R, 1988. "Risk, Implicit Contracts and the Family in Rural Areas of Low-income Countries," Economic Journal, Royal Economic Society, vol. 98(393), pages 1148-1170, December.
    4. Coate, Stephen & Ravallion, Martin, 1993. "Reciprocity without commitment : Characterization and performance of informal insurance arrangements," Journal of Development Economics, Elsevier, vol. 40(1), pages 1-24, February.
    5. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2011. "Criminal Networks: Who is the Key Player?," Research Papers in Economics 2011:7, Stockholm University, Department of Economics.
    6. Andrew D. Foster & Mark R. Rosenzweig, 2001. "Imperfect Commitment, Altruism, And The Family: Evidence From Transfer Behavior In Low-Income Rural Areas," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 389-407, August.
    7. Margherita Comola & Marcel Fafchamps, 2014. "Testing Unilateral and Bilateral Link Formation," Economic Journal, Royal Economic Society, vol. 124(579), pages 954-976, 09.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. Janzen, Sarah A. & Magnan, Nicholas & Sharma, Sudhindra & Thompson, William M., 2017. "Aspirations failure and formation in rural Nepal," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 1-25.
    3. Arun Advani & Bansi Malde, 2018. "Credibly Identifying Social Effects: Accounting For Network Formation And Measurement Error," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1016-1044, September.
    4. Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    5. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    6. Grimm, Michael & Hartwig, Renate & Reitmann, Ann-Kristin & Bocoum, Fadima Yaya, 2021. "Inter-household transfers: An empirical investigation of the income-transfer relationship with novel data from Burkina Faso," World Development, Elsevier, vol. 144(C).
    7. Comola, Margherita & Prina, Silvia, 2023. "The Interplay among Savings Accounts and Network-Based Financial Arrangements: Evidence from a Field Experiment," IZA Discussion Papers 16303, Institute of Labor Economics (IZA).
    8. Emla Fitzsimons & Bansi Malde & Marcos Vera‐Hernández, 2018. "Group Size and the Efficiency of Informal Risk Sharing," Economic Journal, Royal Economic Society, vol. 128(612), pages 575-608, July.
    9. Comola, Margherita & Inguaggiato, Carla & Mendola, Mariapia, 2024. "Social networks and economic transformation: Evidence from a resettled village in Brazil," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 17-34.
    10. Strupat, Christoph & Klohn, Florian, 2018. "Crowding out of solidarity? Public health insurance versus informal transfer networks in Ghana," World Development, Elsevier, vol. 104(C), pages 212-221.
    11. Heath Henderson & Arnob Alam, 2022. "The structure of risk-sharing networks," Empirical Economics, Springer, vol. 62(2), pages 853-886, February.
    12. Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Aug 2024.
    13. Timothy Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2015. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," NBER Working Papers 21418, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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