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Risk Rationing and Wealth Effects in Credit Markets

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  • Boucher, Steve
  • Carter, Michael R.
  • Guirkinger, Catherine

Abstract

By shrinking the available menu of loan contracts, asymmetric information can result in two types of nonprice rationing in credit markets. The first is conventional quantity rationing. The second is ‘risk rationing.’ Risk rationed agents are able to borrow, but only under relatively high collateral contracts that offer them lower expected well-being than a safe, reservation rental activity. Like quantity rationed agents, credit markets do not perform well for the risk rationed. While the incidence of conventional quantity rationing is straightforward (low wealth agents who cannot meet minimum endogenous collateral requirements are quantity rationed), the incidence of risk rationing is less straightforward. Increases in financial wealth, holding productive wealth constant, counter intuitively result in the poor becoming entrepreneurs and the wealthy becoming workers. While this counterintuitive puzzle has been found in the literature on wealth effects in principal-agent models, we show that a more intuitive pattern of risk rationing results if we consider increases in productive wealth. Empirical evidence drawn from four country studies corroborates the implications of the analysis, showing that agents with low levels of productive wealth are risk rationed, and that their input and output levels mimic those of low productivity quantity rationed firms.

Suggested Citation

  • Boucher, Steve & Carter, Michael R. & Guirkinger, Catherine, 2005. "Risk Rationing and Wealth Effects in Credit Markets," Working Papers 190912, University of California, Davis, Department of Agricultural and Resource Economics.
  • Handle: RePEc:ags:ucdavw:190912
    DOI: 10.22004/ag.econ.190912
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    References listed on IDEAS

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    Cited by:

    1. Pavel Ciaian & d’Artis Kancs, 2011. "The Impact Of Food Price Shock On Heterogeneous Credit Constrained Firms," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 82(2), pages 115-137, June.
    2. Angelova, Biljana & Bojnec, Štefan, 2011. "Developments in the Agricultural and Rural Capital Market of the Former Yugoslav Republic of Macedonia," Factor Markets Working Papers 110, Centre for European Policy Studies.
    3. Pietola, Kyösti & Myyrä, Sami & Heikkilä, Anna-Maija, 2011. "The Penetration of Financial Instability in Agricultural Credit and Leveraging," Factor Markets Working Papers 97, Centre for European Policy Studies.
    4. Galarza, Francisco B. & Carter, Michael R., 2010. "Risk Preferences and Demand for Insurance in Peru: A Field Experiment," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61871, Agricultural and Applied Economics Association.
    5. Gin, Xavier & Yang, Dean, 2009. "Insurance, credit, and technology adoption: Field experimental evidencefrom Malawi," Journal of Development Economics, Elsevier, vol. 89(1), pages 1-11, May.
    6. Ciaian, Pavel & Kancs, d'Artis, 2011. "The Impact of Market Imperfections on Heterogeneous Firm Output, Productivity, and Profit," Journal of Rural Cooperation, Hebrew University, Center for Agricultural Economic Research, vol. 39(1), pages 1-24.
    7. David W. Mushinski & Kathleen A. Pickering, 2007. "Heterogeneity in informal sector mitigation of micro-enterprise credit rationing," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(5), pages 567-581.
    8. Alem, Yonas & Broussard, Nzinga H., 2013. "Do Safety Nets Promote Technology Adoption? Panel data evidence from rural Ethiopia," Working Papers in Economics 556, University of Gothenburg, Department of Economics.

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    Keywords

    Financial Economics; Risk and Uncertainty;

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