Malikov, Emir and Hartarska, Valentina (2018): Endogenous Scope Economies in Microfinance Institutions.
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Abstract
Scope economies resulting from the joint offering of loans and savings accounts (as opposed to loans only) are customarily invoked to promote the transformation of credit-only microfinance institutions (MFIs) into integrated loans-and-savings entities. To ensure robust inference, we estimate scope economies for the microfinance industry using a novel approach which, among its other advantages, accommodates inherent heterogeneity across loans-only and loans-and-savings MFIs as well as controls for endogenous self-selection of institutions into the either type. For analysis, we use a large 2004--2014 Mixmarket dataset. Unlike earlier studies, we do not find prevalent scope economies in the microfinance industry. We find that the median degree of scope economies is statistically indistinguishable from zero and that scope economies are significantly positive for less than a half of loans-and-savings MFIs. For a non-trivial 14% of institutions, the empirical evidence suggests the existence of significantly negative diseconomies of scope indicating that the separate production of loans and savings accounts actually has the potential to reduce an MFI's costs. We also find that the failure to account for endogenous selectivity dramatically overestimates the degree of scope economies resulting in the failure to detect scope diseconomies among MFIs. Thus, our findings call for caution when invoking scope economies as a blanket justification for universal expansion of the scope of financial operations by MFIs. Instead, promoting integrated loans-and-savings MFIs may be justifiable as a means to meeting the needs of the poor rather than as a way for the industry to save costs.
Item Type: | MPRA Paper |
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Original Title: | Endogenous Scope Economies in Microfinance Institutions |
Language: | English |
Keywords: | microfinance institutions, scope economies, endogenous selection, financial intermediation, savings and lending |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages L - Industrial Organization > L3 - Nonprofit Organizations and Public Enterprise > L33 - Comparison of Public and Private Enterprises and Nonprofit Institutions ; Privatization ; Contracting Out O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O16 - Financial Markets ; Saving and Capital Investment ; Corporate Finance and Governance |
Item ID: | 87450 |
Depositing User: | Dr. Emir Malikov |
Date Deposited: | 26 Jun 2018 21:35 |
Last Modified: | 29 Sep 2019 02:45 |
References: | Ahn, H. & Powell, J. L. (1993). Semiparametric estimation of censored selection models with a nonparametric selection mechanism. Journal of Econometrics, 58 (1), 3-29. Barnett, W. A. (2002). Tastes and technology: Curvature is not sufficient for regularity. Journal of Econometrics, 108, 199-202. Barnett, W. A., Geweke, J., & Wolfe, M. (1991). Seminonparametric Bayesian estimation of the Asymptotically Ideal Production Model. Journal of Econometrics, 49, 5-50. Barth, J. R. & Wihlborg, C. (2017). Too big to fail: Measures, remedies, and consequences for efficiency and stability. Financial Markets, Institutions and Instruments, 26, 175-245. Baumol, W., Panzar, J., & Willig, R. (1982). Contestable Markets and the Theory of Industry Structure. San Diego: Harcourt, Brace & Jovanovich. Berger, A. N., Cummins, J. D., Weiss, M. A., & Zi, H. (2000). Conglomeration versus strategic focus: Evidence from the insurance industry. Journal of Financial Intermediation, 9, 323-362. Berger, A. N., Demsetz, R. S., & Strahan, P. E. (1999). The consolidation of the financial services industry: Causes, consequences and implications for the future. Journal of Banking and Finance, 23, 135-194. Berger, A. N., Hanweck, G. A., & Humphrey, D. B. (1987). Competitive viability in banking: Scale, scope, and product mix economies. Journal of Monetary Economics, 20, 501-520. Blevins, J. R. & Khan, S. (2013). Local NLLS estimation of semi-parametric binary choice models. Econometrics Journal, 16, 135-160. Braeutigam, R. R. & Daughety, A. F. (1983). On the estimation of returns to scale using variable cost functions. Economics Letters, 11, 25-31. Caudill, S., Gropper, G., & Hartarska, V. (2009). Which microfinance institutions are becoming more cost effective with time? Evidence from a mixture model. Journal of Money, Credit and Banking, 41 (4), 651-672. Caves, D. W., Christensen, L. R., & Swanson, J. A. (1981). Productivity growth, scale economies, and capacity utilization in US railroads, 1955-74. American Economic Review, 71 (5), 994-1002. Charlier, E., Melenberg, B., & van Soest, A. (2001). An analysis of housing expenditure using semiparametric models and panel data. Journal of Econometrics, 101 (1), 71-107. Chavas, J.-P. & Kim, K. (2010). Economies of diversification: A generalization and decomposition of economies of scope. International Journal of Production Economics, 126, 229-235. Collins, D., Morduch, J., Rutherford, S., & Ruthven, O. (2009). Portfolios of the Poor: How the World's Poor Live on $2 a Day. Princeton: Princeton University Press. Cull, R., Demirguc-Kunt, A., & Morduck, J. (2011). Does regulatory supervision curtail microfinance profitability and outreach? World Development, 39, 949-965. Delgado, M. S., Parmeter, C. F., Hartarska, V., & Mersland, R. (2015). Should all microfinance institutions mobilize microsavings? Evidence from economies of scope. Empirical Economics, 48 (1), 193-225. D'Espallier, B., Goedecke, J., Hudon, M., & Mersland, R. (2017). From NGOs to banks: Does institutional transformation alter the business model of microfinance institutions? World Development, 89, 19-33. Du, P., Parmeter, C. F., & Racine, J. S. (2013). Nonparametric kernel regression with multiple predictors and multiple shape constraints. Statistica Sinica, 23 (3), 1347-1371. Eicher, T. S. & Leukert, A. (2009). Institutions and economic performance: Endogeneity and parameter heterogeneity. Journal of Money, Credit and Banking, 41, 197-219. Elsas, R., Hackethal, A., & Holzhauser, M. (2010). The anatomy of bank diversification. Journal of Banking and Finance, 34, 1274-1287. Evans, D. S. & Heckman, J. J. (1984). A test for subadditivity of the cost function with an application to the Bell System. American Economic Review, 74 (4), 615-623. Fuss, M. A. & Waverman, L. (2002). Econometric cost functions. In M. E. Cave, S. K. Majumdar, & I. Vogelsang (Eds.), Handbook of Telecommunications Economics, volume 1. Elsevier. Hall, P. & Huang, L.-S. (2001). Nonparametric kernel regression subject to monotonicity constraints. Annals of Statistics, 29 (3), 624-647. Hartarska, V., Mersland, R, Nadolnyak, D., & Parmeter, C. (2013). Scale economies and elasticities of substitution in microfinance institutions. International Journal of Corporate Governance, 4 (1), 74-86. Hartarska, V., Parmeter, C., & Nadolnyak, D. (2011). Economies of scope of lending and mobilizing deposits in rural MFIs: A semiparametric approach. American Journal of Agricultural Economics, 93 (2), 389-398. Hartarska, V., Parmeter, C., Nadolnyak, D., & Zhou, B. (2010). Economies of scope for microfinance: Differences across output measures. Pacific Economic Review, 15 (4), 464-481. Hartarska, V., Shen, X., & Mersland, R. (2013). Scale economies and elasticities of substitution in microfinance institutions. Journal of Banking and Finance, 37 (1), 118-131. Heckman, J. J. & Serletis, A. (2014). Introduction to Internally consistent modeling, aggregation, inference, and policy. Journal of Econometrics, 183, 1-4. Heckman, J. J. & Serletis, A. (2015). Introduction to Econometrics with theory: A special issue honoring William A. Barnett. Econometric Reviews, 34, 1-5. Hermes, N., Lensink, R., & Meesters, A. (2011). Outreach and efficiency of microfinance institutions. World Development, 39 (6), 938-948. Horowitz, J. L. (1992). A smoothed maximum score estimator for the binary response model. Econometrica, 60 (3), 505-531. Hughes, J. P. & Mester, L. J. (1993). A quality and risk-adjusted cost function for banks: Evidence on the “too-big-to-fail" doctrine. Journal of Productivity Analysis, 4, 293-315. Hughes, J. P. & Mester, L. J. (2013). Who said large banks don't experience scale economies? Evidence from a risk-return-driven cost function. Journal of Financial Intermediation, 22 (4), 559-585. Hughes, J. P. & Mester, L. J. (2015). Measuring the performance of banks: Theory, practice, evidence, and some policy implications. In A. Berger, P. Molyneux, & J. Wilson (Eds.), Oxford Handbook of Banking (2 ed.). (pp. 247{270). Oxford: Oxford University Press. Hulme, D. (2008). The story of the Grameen Bank: From subsidised microcredit to market-based microfinance. Brooks World Poverty Institute Working Paper No. 60. Khan, S. (2013). Distribution free estimation of heteroskedastic binary response models using Probit/Logit criterion function. Journal of Econometrics, 172, 168-182. Klein, R. W. & Spady, R. H. (1993). An efficient semiparametric estimator for binary response models. Econometrica, 61, 387-421. Kyriazidou, E. (1997). Estimation of a panel data sample selection model. Econometrica, 65 (6), 1335-1364. Lopatta, K. & Tchikov, M. (2016). Do microfinance institutions fulfill their promise? Evidence from cross country data. Applied Economics, 48 (18), 1655-1677. Malikov, E., Kumbhakar, S. C., & Sun, Y. (2016). Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects. Journal of Econometrics, 190 (2), 233-251. Malikov, E., Zhao, S., & Kumbhakar, S. C. (2016). Economies of diversification in the US credit union sector. Journal of Applied Econometrics. forthcoming. Manski, C. F. (1987). Semiparametric analysis of random effects linear models from binary panel data. Econometrica, 55 (2), 357-362. Mersland, R. & Strom, R. O. (2009). Performance and governance in microfinance institutions. Journal of Banking and Finance, 33 (4), 662-669. Microfinance Information Exchange (2015). Microfinance Bulletin No. 18. Panzar, J. C. & Willig, R. D. (1981). Economies of scope. American Economic Review, 71 (2), 268-272. Saunders, A. (2000). Financial Institutions Management (3 ed.). New York: McGraw-Hill. Serletis, A. & Feng, G. (2015). Imposing theoretical regularity on flexible functional forms. Econometric Reviews, 34, 198-227. Wagenaar, K. (2012). Institutional transformation and mission drift in microfinance. University of Cambridge, Centre of Development Studies. Woller, G. M., Dunford, C., & Woodworth, W. (1999). Where to microfinance? International Journal of Economic Development, 1 (1), 29-64. Yasar, M., Morrison Paul, C. J., & Ward, M. R. (2011). Property rights institutions and firm performance: A cross-country analysis. World Development, 39, 648-661. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/87450 |