Abstract
This paper provides evidence on the effects of microfinance competition on moneylender interest rates and households' dependence on informal credit. The views among practitioners diverge sharply: proponents claim that the MFI competition reduces both the moneylender interest rate and households' reliance on informal credit, while critics argue the opposite. Taking advantage of recent econometric approaches to address selection on unobservables without imposing standard exclusion restrictions, we find that the MFI competition does not reduce moneylender interest rates, partially repudiating the proponents. There is no perceptible effect at low levels of the MFI coverage, but when the MFI coverage is high enough, the moneylender interest rate increases significantly. In contrast, a household's dependence on informal credit goes down after becoming an MFI member, which contradicts part of the critic's argument. The evidence is consistent with models where either the MFIs or the moneylenders engage in cream skimming, and fixed costs are important in informal lending.
Data Availability: The data used in this paper can be obtained from Claudia Berg (claudia.n.berg@gmail.com).
Disclosure Statement: The authors report no potential conflict of interest arising from the contents of this article.
References
Aleem, I. 1993. “Imperfect Information, Screening, and the Costs of Informal Lending: A Study of a Rural Credit Market in Pakistan.” in The Economics of Rural Organizations: Theory, Practice, and Policy, edited by Karla Hoff, Avishay Braverman, and Joseph E.Stiglitz, Oxford University Press.10.1093/wber/4.3.329Search in Google Scholar
Alexander-Tedeschi, G. and D. Karlan. 2009. Cross-sectional Impact Analysis: Bias from Drop-Outs. FAI: Yale University.Search in Google Scholar
Armendariz, B., and J. Morduch. 2010. The Economics of Microfinance. MIT Press.Search in Google Scholar
Banerjee, A. 2003. “Contracting Constraints, Credit Markets, and Economic Development.” Chapter in Advances in Economics and Econometrics: Theory and Applications, Eighth World Congress, Vol. III , edited by Mathias Dewatripont, Lars Peter Hansen and Stephen J. Turnovsky.Search in Google Scholar
Banerjee, A. 2013. “Microcredit Under the Microscope: What Have We Learned in the Past Two Decades, and What Do We Need to Know?.” Annual Review of Economics, 5 : 487–519.10.1146/annurev-economics-082912-110220Search in Google Scholar
Bell, Clive. 1990. “Interactions between Institutional and Informal Credit Agencies in Rural India.” The World Bank Economic Review, 4 (3): 297–327.10.1093/wber/4.3.297Search in Google Scholar
Berg, Claudia, and M. Shahe Emran. “Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh.” BE Journal of Economic Analysis and Policy (forthcoming).Search in Google Scholar
Black, D., and J. Smith. 2004. “How robust is the evidence on the effects of college quality? Evidence from matching.” Journal of Econometrics, 121: 99–124.10.1016/j.jeconom.2003.10.006Search in Google Scholar
Demont, Timothée. 2016. “Microfinance spillovers: A model of competition in informal credit markets with an application to Indian villages.” European Economic Review, Elsevier, 89 (C): 21–41.10.1016/j.euroecorev.2016.06.003Search in Google Scholar
Ebbes, Peter, Michel Wedel, and Ulf Böckenholt. 2009. “Frugal IV Alternatives to Identify the Parameter for an Endogenous Regressor.” Journal of Applied Econometrics, 24 : 446–68.10.1002/jae.1058Search in Google Scholar
Emran, M. Shahe. AKM Morshed, and Joseph Stiglitz. “Microfinance and Missing Markets.” Forthcoming in Canadian Journal of Economics (forthcoming).Search in Google Scholar
Emran, M. Shahe, Virginia Robano, and Stephen C. Smith. 2014. “Assessing the Frontiers of Ultra-Poverty Reduction: Evidence from CFPR/TUP I, an Innovative Program in Bangladesh.” Economic Development and Cultural Change, 62 (2, January 2014): 339–80.10.1086/674110Search in Google Scholar
Emran, M. Shahe, and Zaoyang Hou. 2013. “Access to Markets and Rural Poverty: Evidence from Household Consumption in China.” Review of Economics and Statistics, May, 2013.10.1162/REST_a_00354Search in Google Scholar
Emran, M. Shahe, and Forhad Shilpi. 2012. “The Extent of the Market and Stages of Agricultural Specialization.” Canadian Journal of Economics, August, 2012.10.1596/1813-9450-4534Search in Google Scholar
Emran, M Shahe, and Joseph E. Stiglitz. 2009. “Financial Liberalization, Financial Restraint and Entrepreneurial Development.” Working Papers 2009-02, The George Washington University, Institute for International Economic Policy.10.2139/ssrn.1332399Search in Google Scholar
Farré, Lídia, Roger Klein, and Francis Vella. 2013. “A Parametric Control Function Approach to Estimating the Returns to Schooling in the Absence of Exclusion Restrictions: An Application to the NLSY.” Empirical Economics, 43 (1), 2013.Search in Google Scholar
Farre, Lidia, Roger Klein, and Francis Vella. 2012. “Does Increasing Parents' Schooling Raise the Schooling of the Next Generation? Evidence based on Conditional Second Moments.” Oxford Bulletins of Economics and Statistics, 74 (5): 676–90.10.1111/j.1468-0084.2011.00667.xSearch in Google Scholar
Hartarska, V., X. Shen, and R. Mersland. 2013. “Scale Economies and Elasticities of Substitution in Microfinance Institutions.” Journal of Banking and Finance, 37 (1): 118–31.10.1016/j.jbankfin.2012.08.004Search in Google Scholar
Harvey, A. C. May, 1976. “Estimating Regression Models with Multiplicative Heteroscedasticity.” Econometrica, 44 (3): 461–5.10.2307/1913974Search in Google Scholar
Heckman J., R. LaLonde, and J. Smith. 1999. The Economics and Econometrics of Active Labor Market Programs. In Handbook of Labor Economics, edited by Ashenfelter A, Card D. Amsterdam: Elsevier, 3 : 1865–2097.10.1016/S1573-4463(99)03012-6Search in Google Scholar
Heckman, J., and S, Navarro-Lozano. 2004. “Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models.” The Review of Economics and Statistics, 2004 (86:1): 30–57.10.3386/w9497Search in Google Scholar
Hirano, K., and G. Imbens. 2001. “Estimation of Causal Effects using Propensity Score Matching: An Application to Data on Right Heart Catheterization.” Health Services and Outcome Research Methodology, 2 : 259–78.10.1023/A:1020371312283Search in Google Scholar
Hoff, Karla, Avishay Braverman, and Joseph E. Stiglitz. 1993. The Economics of Rural Organizations: Theory, Practice, and Policy, Oxford University Press.Search in Google Scholar
Hoff, Karla, and Joseph E. Stiglitz. 1998. “Moneylenders and Bankers: Price-Increasing Subsidies in a Monopolistically Competitive Markets.” Journal of Development Economics, 55 : 485–518.10.1016/S0304-3878(98)00062-5Search in Google Scholar
Hossain, M., and A. Bayes. 2009 Rural Economy and Livelihoods: Insights from Bangladesh. Dhaka.: A H Development Publishing.Search in Google Scholar
Klein, Roger and Francis Vella. 2010. “Estimating a Class of Triangular Simultaneous Equations Models Without Exclusion Restrictions.” Journal of Econometrics, 154 : 154–64.10.1016/j.jeconom.2009.05.005Search in Google Scholar
Klein, Roger, and Francis Vella. 2009a. “A Semiparametric Model for Binary Response and Continuous Outcomes under Index Heterocedasticity.” Journal of Applied Econometrics, 24 : 735–62.10.1002/jae.1064Search in Google Scholar
Klein, Roger, and Francis Vella. 2009b. “Estimating the Returns to Endogenous Schooling Decisions via Conditional Second Moments.” Journal of Human Resources, 44 (4): 1047–65.Search in Google Scholar
Lechner, M. R. Miquel, and C. Wunch. 2011. “Long-Run Effects of Public Sector Sponsored Training in West Germany.” Journal of the European Economic Association, 9 : 742–84.10.1111/j.1542-4774.2011.01029.xSearch in Google Scholar
Lewbel, Arthur. 2012. “Using Heteroskedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models.” Journal of Business and Economic Statistics, 30 : 67–80.10.1080/07350015.2012.643126Search in Google Scholar
Maitra, Pushkar, Sandip Mitra, Dilip Mookherjee, Alberto Motta, and Sujata Visaria. 2017. “Financing Smallholder Agriculture: An Experiment with Agent-intermediated Microloans in India.” Journal of Development Economics, 127 (C): 306–37.10.3386/w20709Search in Google Scholar
Mallick, Debdulal, 2012. “Microfinance and Moneylender Interest Rate: Evidence from Bangladesh,” World Development, Elsevier, 40 (6): 1181–89.10.1016/j.worlddev.2011.12.011Search in Google Scholar
Mallick, Debdulal, and Munirul H. Nabin. 2018. “Cost effectiveness or serving the poor? Factors determining program placement of NGOs in Bangladesh.” Economic modelling, 69 : 281–90.10.1016/j.econmod.2017.10.001Search in Google Scholar
Mani, Anandi, Sendhil Mullainathan, Eldar Shafir, and Jiaying Zhao. 2013. “Poverty Impedes Cognitive Function.” Science, 341 : 976–80, 2013.10.1126/science.1238041Search in Google Scholar
McIntosh, C., and B. Wydick. 2005. “Competition and Microfinance.” Journal of Development Economics 78 (December 2005): 271–98.10.1016/j.jdeveco.2004.11.008Search in Google Scholar
Millimet, Daniel L., and Rusty Tchernis. 2013. “Estimation of Treatment Effects without an Exclusion Restriction: with an Application to the Analysis of the School Breakfast Program.” Journal of Applied Econometrics, 28 (6): 982–1017.10.1002/jae.2286Search in Google Scholar
Mookherjee, Dilip, and Alberto Motta. 2016. “A Theory of Interactions Between Microfinance and Informal Lenders.” Journal of Development Economics, 121 : 191–200.10.1016/j.jdeveco.2014.11.009Search in Google Scholar
Mullainathan, Sendhil, Eldar Shafir. 2013. Scarcity: Why Having Too Little Means So Much. United States: Henry Holt and Company, 2013.Search in Google Scholar
Noble, K. G., S. M. Houston, H. Bartsch, E. Kan, J. M. Kuperman, N. Akshoomoff, D. G. Amaral, C. S. Bloss, O. Libiger, N. J. Schork, S. S. Murray, B. J. Casey, L. Chang, T. M. Ernst, J. A. Frazier, J. R. Gruen, D. N. Kennedy, P. Van Zijl, S. Mostofsky, W. E. Kaufmann, B. G. Keating, T. Kenet, A. M. Dale, T. L. Jernigan, and E. R. Sowell. 2015. “Family Income, Parental Education and Brain Development in Children and Adolescents.” Nature Nuroscience, 18 (5): 773–8.10.1038/nn.3983Search in Google Scholar
Rabbani, Mehnaz, Vivek A. Prakash, and Munshi Sulaiman. 2006. “Impact Assessment of CFPR/TUP: A Descriptive Analysis Based on 2002-2005 Panel Data ” BRAC TUP Working Paper No. 12, July 2006.Search in Google Scholar
Rigobon, Roberto. 2003. “Identification Through Heteroskedasticity.” The Review of Economics and Statistics, 85 (4): 777–92.10.1162/003465303772815727Search in Google Scholar
Salim, M. 2013. “Revealed Objective Functions of Microfinance Institutions: Evidence from Bangladesh.” Journal of Development Economics, 104 .10.1016/j.jdeveco.2013.03.011Search in Google Scholar
Schultz, T.W. 1975. “The Value of the Ability to Deal with Disequilibria.” Journal of Economic Literature, 13 : 827–46.Search in Google Scholar
Sinha, S., and I, Matin. 1998. “Informal credit transactions of micro-credit borrowers in rural Bangladesh.” IDS Bulletin, 29 (4, October, 1998).10.1111/j.1759-5436.1998.mp29004008.xSearch in Google Scholar
Wooldridge, Jeffrey 2007. “Inverse Probability Weighted Estimation for General Missing Data Problems.” Journal of Econometrics, 141 (2): 1281–1301.10.1920/wp.cem.2004.0504Search in Google Scholar
Von Pischke, J.D., Dale W.Adams, and Gordon Donald, eds. (1983) Rural Financial Markets in Developing Countries: Their Use and Abuse. Baltimore, Md.: The Johns Hopkins University Press.Search in Google Scholar
Zaman, Hassan. 2004. “The Scaling-Up of Microfinance in Bangladesh: Determinants, Impact, and Lessons.” Policy Research Working Paper, The World Bank, working paper No. WPS3398.10.1596/1813-9450-3398Search in Google Scholar
Supplementary Material
The online version of this article offers supplementary material https://doi.org/10.1515/bejeap-2019-0298.
© 2020 Walter de Gruyter GmbH, Berlin/Boston