The Economics and Finance Letters
December 2020, Volume 7, 2, pp 276-288
Microfinance, Microfinance institutions, Small sample, Firth’s logistic regression, Visualization, Mosaic (Marimekko) plot.
Aoki, C., & Pradhan, P. (2013). Impact of microfinance services on socio-economic empowerment of the women’s group in Nepal. Geography of Governance: Dynamics for Local Development, 1, 01-10.
Armendáriz, B., & Morduch, J. (2010). The economics of microfinance. MIT Press.
Ashe, J. (2002). PACT's women's empowerment program in Nepal: A savings-and literacy-led alternative to financial building. Journal of Microfinance/ESR Review, 4(2), 137-162.
Banerjee, A. V. (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(1), 487-519. Available at: https://doi.org/10.1146/annurev-economics-082912-110220.
Banerjee, A., Duflo, E., Glennerster, R., & Kinnan, C. (2015). The miracle of microfinance? Evidence from a randomized evaluation. American Economic Journal: Applied Economics, 7(1), 22-53.
Carter, T. C., Ye, Z., Ivacic, L. C., Budi, N., Rose, W. E., & Shukla, S. K. (2020). Association of variants in selected genes mediating host immune response with duration of Staphylococcus aureus bacteremia. Genes & Immunity, 20, 240-248. Available at: https://doi.org/10.1038/s41435-020-0101-0.
Cheston, S., & Kuhn, L. (2002). Empowering women through microfinance. Draft, Opportunity International, 1-64. Retrieved from: https://rb.gy/v68uq68r.
Copestake, J., Bhalotra, S., & Johnson, S. (2001). Assessing the impact of microcredit: A Zambian case study. Journal of Development Studies, 37(4), 81-100. Available at: https://doi.org/10.1080/00220380412331322051.
Cox, D. R., & Snell, E. J. (1968). A general definition of residuals. Journal of the Royal Statistical Society: Series B (Methodological), 30(2), 248-265. Available at: https://doi.org/10.1111/j.2517-6161.1968.tb00724.x.
Firth, D. (1993). Bias reduction of maximum likelihood estimates. Biometrika, 80(1), 27-38.
García-Pérez, I., Fernández-Izquierdo, M. Á., & Muñoz-Torres, M. J. (2020). Microfinance institutions fostering sustainable development by Region. Sustainability, 12(7), 2682. Available at: https://doi.org/10.3390/su12072682.
Ghimire, S., Rigatti, T., & Sexton, N. (2017). Effect of credit cooperatives in employment generation: Evidence from rural Nepal. Journal of Development Innovations, 1(1), 29-44.
Ghimire, S., Clifford, D., & Costa, G. (2019). Do microfinance institutions help with business expansion? Evidence from Rural Nepal. Academy of Economics and Finance Journal, 10, 15-24.
Gutiérrez-Nieto, B., & Serrano-Cinca, C. (2019). 20 years of research in microfinance: An information management approach. International Journal of Information Management, 47, 183-197. Available at: https://doi.org/10.1016/j.ijinfomgt.2019.01.001.
Heinze, G., & Puhr, R. (2010). Bias-reduced and separation-proof conditional logistic regression with small or sparse data sets. Statistics in Medicine, 29, 770 - 777. Available at: 10.1002/sim.3794.
Heinze, G., & Schemper, M. (2002). A solution to the problem of separation in logistic regression. Statistics in Medicine, 21(16), 2409-2419.
Hulme, D. (2000). Impact assessment methodologies for microfinance: theory, experience and better practice. World Development, 28(1), 79-98.
Khandker, S. R. (2005). Microfinance and poverty: Evidence using panel data from Bangladesh. The World Bank Economic Review, 19(2), 263-286. Available at: https://doi.org/10.1093/wber/lhi008.
Kulkarni, V. S., Azam, M. S., & Gaiha, R. (2017). Credit, microfinance, and empowerment. In Microfinance for Entrepreneurial Development (pp. 127-152). Cham: Palgrave Macmillan.
Magalhães, T. M., Gómez, Y. M., Gallardo, D. I., & Venegas, O. (2020). Bias reduction for the marshall-olkin extended family of distributions with application to an airplane’s air conditioning system and precipitation data. Symmetry, 12(5), 1-14.
McKenzie, D. (2012). Beyond baseline and follow-up: The case for more T in experiments. Journal of development Economics, 99(2), 210-221.
Melik, J. (2010). Microcredit 'death trap' for Bangladesh's poor.: Business Daily, BBC World Service.
Morduch, J., & Haley, B. (2002). Analysis of the effects of microfinance on poverty reduction. New York: NYU Wagner Working Paper, 1014.
Ngala, C. O. (2017). Microfinance and income levels of AIDS affected households: A Quasi-experimental survey. Journal of Financial Economics, 5(2), 50-60.
Oluyombo, O. O., & Iriobe, G. O. (2017). Microfinance impact assessment methodologies: Is it qualitative, quantitative or both?. In Microfinance for Entrepreneurial Development (pp. 153-168). Cham: Palgrave Macmillan.
Peters, C. (2017). Microfinance and female group action in Bangladesh. Review of Development Economics, 21(1), 21-42. Available at: https://doi.org/10.1111/rode.12238.
Quinones, B., & Remenyi, J. (2014). Microfinance and poverty alleviation: Case studies from Asia and the Pacific: Routledge.
Rainey, C., & McCaskey, K. (2015). Estimating logit models with small samples. Austin, Texas: Texas A&M.
Rajbanshi, R., Huang, M., & Wydick, B. (2015). Measuring microfinance: Assessing the conflict between practitioners and researchers with evidence from Nepal. World Development, 68, 30-47. Available at: https://doi.org/10.1016/j.worlddev.2014.11.011.
Sharma, P. R. (2007). Micro-finance and women empowerment. Journal of Nepalese Business Studies, 4(1), 16-27.
Tuman, J. P., & Erlingsson, H. (2020). The determinants of Chinese Foreign direct investment flows in Mexican States, 2004–2014. Latin American Policy, 11(1), 103-125.
Vanroose, A. (2016). Which factors drive the regional expansion of microfinance institutions? Evidence from Peru. Journal of International Development, 28(7), 1104-1122.
Weiss, J., & Montgomery, H. (2005). Great expectations: Microfinance and poverty reduction in Asia and Latin America. Oxford Development Studies, 33(3-4), 391-416. Available at: https://doi.org/10.1080/13600810500199210.