Replicating Microfinance in the United States
"With the publication of this volume, knowledge and understanding of the practices of delivering micro-credit reach a new level of consolidation, and the stage is set for important further steps."—from the Foreword by Richard P. Taub, University of Chicago
Microfinance was pioneered in the developing world as the lending of small amounts of money to entrepreneurs who lacked the kinds of credentials and collateral demanded by banks. Similar practices spread from the developing to the developed world, reversing the usual direction of innovation, and today several hundred microfinance institutions are operating in the United States.
Replicating Microfinace in the United States reviews experiences in both developing and industrialized countries and extends the applications of microlending beyond enterprise to consumer finance, housing finance, and community development finance, concentrating especially on previously underserved households and their communities.
Contributors include Nitin Bhatt, Robert M. Buckley, Bruce Ferguson, Elinor Haider, Chi-kan Richard Hung, Sally R. Merrill, Jonathan Morduch, Gary Painter, Sohini Sarkar, Mark Schreiner, Lisa Servon, Ayse Can Talen, Shui-Yan Tang, Kenneth Temkin, Andres Vinelli, J. D. Von Pischke and Marc A. Weiss.
Replicating Microfinance in the United States is based on papers commissioned by the Fannie Mae Foundation and findings from an October 2001 conference jointly held by the Fannie Mae Foundation and Woodrow Wilson International Center for Scholars in Washington, D.C.
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In the United States , where microfinance is still relatively new , an increasing number of policymakers , grant makers , and finance specialists are also looking at microfinance as a potential solution to a wide range of systematic ...
Third , the potential to charge market - rate interest on microloans needs to be considered , as it has been internationally , to achieve financially viable and sustainable microfinance programs .
Also , panel data techniques recognize the potential heterogeneity in the data and the effects of unobserved variables that could bias cross - sectional coefficients . Among panel data models , random - effects specifications are the ...
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Opportunities and Challenges for Microfinance
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