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Follow the money not the cash: Comparing methods for identifying consumption and investment responses to a liquidity shock

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  • Karlan, Dean
  • Osman, Adam
  • Zinman, Jonathan

Abstract

Measuring the impacts of liquidity shocks on spending is difficult methodologically but important for theory, practice, and policy. We compare three approaches for tackling this question: directly asking borrowers how they spend proceeds from a loan (direct elicitation); asking borrowers using a list randomization technique (indirect elicitation) that allows them to answer discretely in cases where loan uses are at odds with lender policies or social norms; and, a counterfactual analysis in which we compare household and enterprise cash outflows for those in a treatment group, randomly assigned to receive credit, to a control group. The counterfactual analysis yields an estimate that about 100% of loan-financed spending is on business inventory. For the direct and indirect elicitations, we find evidence of both strategic misreporting and “following the cash”: borrowers likely report what they physically did with cash proceeds, rather than counterfactual spending.

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  • Karlan, Dean & Osman, Adam & Zinman, Jonathan, 2016. "Follow the money not the cash: Comparing methods for identifying consumption and investment responses to a liquidity shock," Journal of Development Economics, Elsevier, vol. 121(C), pages 11-23.
  • Handle: RePEc:eee:deveco:v:121:y:2016:i:c:p:11-23
    DOI: 10.1016/j.jdeveco.2015.10.009
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    2. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
    3. Jonathan A. Parker & Nicholas S. Souleles, 2017. "Reported Effects vs. Revealed-Preference Estimates: Evidence from the propensity to spend tax rebates," NBER Working Papers 23920, National Bureau of Economic Research, Inc.
    4. David Rhys Bernard & Gharad Bryan & Sylvain Chabé-Ferret & Jonathan de Quidt & Jasmin Claire Fliegner & Roland Rathelot, 2023. "How Much Should We Trust Observational Estimates? Accumulating Evidence Using Randomized Controlled Trials with Imperfect Compliance," Working Papers 976, Queen Mary University of London, School of Economics and Finance.
    5. Moumita Poddar & Tanmoyee Banerjee (Chatterjee) & Ajitava Raychaudhuri, 2019. "An economic analysis of the determinants of pattern of institutional borrowing in India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 54-92, June.
    6. Yonghong An & Pengfei Liu, 2020. "Eliciting Information from Sensitive Survey Questions," Papers 2009.01430, arXiv.org.

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    More about this item

    Keywords

    Loan use; Consumption; Investment; Liquidity constraint; Liquidity shock; Fungibility; Microcredit; Microenterprise;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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