List Randomization for Sensitive Behavior: An Application for Measuring Use of Loan Proceeds
AbstractPolicymakers and microfinance institutions (MFIs) often claim to target poor entrepreneurs who then invest loan proceeds in their businesses. Typically in nonresearch settings these claims are assessed using readily available but unverified self-reports from client loan applications. Alternatively, independent surveyors could directly elicit how borrowers spent their loan proceeds. That too, however, could suffer from deliberate misreporting. We use data from the Peru and the Philippines in which independent surveyors elicited loan use both directly (i.e., by asking how individuals spent their loan proceeds) and indirectly (i.e., through a list-randomization technique that allows individuals to hide their answer from the surveyor). We find that direct elicitation under-reports the non-enterprise uses of loan proceeds.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 17475.
Date of creation: Oct 2011
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Publication status: published as Karlan, Dean S. & Zinman, Jonathan, 2012. "List randomization for sensitive behavior: An application for measuring use of loan proceeds," Journal of Development Economics, Elsevier, vol. 98(1), pages 71-75.
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- Karlan, Dean S. & Zinman, Jonathan, 2012. "List randomization for sensitive behavior: An application for measuring use of loan proceeds," Journal of Development Economics, Elsevier, vol. 98(1), pages 71-75.
- B4 - Schools of Economic Thought and Methodology - - Economic Methodology
- D03 - Microeconomics - - General - - - Behavioral Microeconomics; Underlying Principles
- O12 - Economic Development, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
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"Mixed Method Evaluation of a Passive mHealth Sexual Information Testing Service in Uganda,"
1025, Economic Growth Center, Yale University.
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- McKenzie, David & Siegel, Melissa, 2013.
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Policy Research Working Paper Series
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