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Article Dans Une Revue Economic Development and Cultural Change Année : 2017

The Missing Transfers: Estimating Misreporting in Dyadic Data

Résumé

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.
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Dates et versions

halshs-01630358 , version 1 (07-11-2017)

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Margherita Comola, Marcel Fafchamps. The Missing Transfers: Estimating Misreporting in Dyadic Data. Economic Development and Cultural Change, 2017, 65 (3), pp.549-582. ⟨10.1086/690810⟩. ⟨halshs-01630358⟩
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