Scoring Drop-Out at a Microlender in Bolivia
Author
Abstract
Suggested Citation
Note: Type of Document - Adobe Acrobat 3.0; prepared on Windows 98; to print on Adobe Acrobat 3.0; pages: ; figures: Included in pdf file
Download full text from publisher
References listed on IDEAS
- Wiginton, John C., 1980. "A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(3), pages 757-770, September.
- Jenkins, Stephen P, 1995. "Easy Estimation Methods for Discrete-Time Duration Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(1), pages 129-138, February.
- D. J. Hand & W. E. Henley, 1997. "Statistical Classification Methods in Consumer Credit Scoring: a Review," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 523-541, September.
- Greene, William, 1998. "Sample selection in credit-scoring models1," Japan and the World Economy, Elsevier, vol. 10(3), pages 299-316, July.
- Navajas, Sergio & Schreiner, Mark & Meyer, Richard L. & Gonzalez-vega, Claudio & Rodriguez-meza, Jorge, 2000.
"Microcredit and the Poorest of the Poor: Theory and Evidence from Bolivia,"
World Development, Elsevier, vol. 28(2), pages 333-346, February.
- Navajas, Sergio & Schreiner, Mark & Meyer, Richard L. & Gonzalez-Vega, Claudio & Rodriguez-Meza, Jorge, 1998. "Microcredit And The Poorest Of The Poor: Theory And Evidence From Bolivia," Economics and Sociology Occasional Papers - ESO Series 28334, Ohio State University, Department of Agricultural, Environmental and Development Economics.
- Boyes, William J. & Hoffman, Dennis L. & Low, Stuart A., 1989. "An econometric analysis of the bank credit scoring problem," Journal of Econometrics, Elsevier, vol. 40(1), pages 3-14, January.
- Loretta J. Mester, 1997. "What's the point of credit scoring?," Business Review, Federal Reserve Bank of Philadelphia, issue Sep, pages 3-16.
- Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Schicks, Jessica, 2014.
"Over-Indebtedness in Microfinance – An Empirical Analysis of Related Factors on the Borrower Level,"
World Development, Elsevier, vol. 54(C), pages 301-324.
- Jessica Schicks, 2012. "Over-Indebtedness in Microfinance – An Empirical Analysis of Related Factors on the Borrower Level," Working Papers CEB 12-017, ULB -- Universite Libre de Bruxelles.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Hussein A. Abdou & John Pointon, 2011. "Credit Scoring, Statistical Techniques And Evaluation Criteria: A Review Of The Literature," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 18(2-3), pages 59-88, April.
- Dalila Boughaci & Abdullah A. K. Alkhawaldeh & Jamil J. Jaber & Nawaf Hamadneh, 2021. "Classification with segmentation for credit scoring and bankruptcy prediction," Empirical Economics, Springer, vol. 61(3), pages 1281-1309, September.
- Mark Schreiner, 2001. "A Scoring Model of the Risk of Costly Arrears at a Microfinance Lender in Bolivia," Development and Comp Systems 0109005, University Library of Munich, Germany.
- Lee, Kyungeun & Lee, Hyesu & Lee, Hyoseop & Yoon, Yoonjin & Lee, Eunjung & Rhee, Wonjong, 2018. "Assuring explainability on demand response targeting via credit scoring," Energy, Elsevier, vol. 161(C), pages 670-679.
- Kiefer, Nicholas M. & Larson, C. Erik, 2006. "Specification and Informational Issues in Credit Scoring," Working Papers 06-11, Cornell University, Center for Analytic Economics.
- Ha-Thu Nguyen, 2015. "How is credit scoring used to predict default in China?," EconomiX Working Papers 2015-1, University of Paris Nanterre, EconomiX.
- Ha-Thu Nguyen, 2016. "Reject inference in application scorecards: evidence from France," EconomiX Working Papers 2016-10, University of Paris Nanterre, EconomiX.
- Y Kim & S Y Sohn, 2007. "Technology scoring model considering rejected applicants and effect of reject inference," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1341-1347, October.
- Ha Thu Nguyen, 2016. "Reject inference in application scorecards: evidence from France," Working Papers hal-04141601, HAL.
- Fernandes, Guilherme Barreto & Artes, Rinaldo, 2016. "Spatial dependence in credit risk and its improvement in credit scoring," European Journal of Operational Research, Elsevier, vol. 249(2), pages 517-524.
- Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 157-176.
- Smythe Donald J., 2008. "Transaction Costs, Neighborhood Effects, and the Diffusion of the Uniform Sales Act, 1906-47," Review of Law & Economics, De Gruyter, vol. 4(1), pages 341-372, October.
- Vogelgesang, Ulrike, 2003.
"Microfinance in Times of Crisis: The Effects of Competition, Rising Indebtedness, and Economic Crisis on Repayment Behavior,"
World Development, Elsevier, vol. 31(12), pages 2085-2114, December.
- Ulrike Vogelgesang, 2001. "Microfinance in Times of Crisis: The Effects of Competition, Rising Indebtedness, and Economic Crisis on Repayment Behavior," GK working paper series 2001-06, Post Graduate Programme "Allocation on Financial Markets", University of Mannheim, revised Nov 2001.
- Naveed Chehrazi & Thomas A. Weber, 2015. "Dynamic Valuation of Delinquent Credit-Card Accounts," Management Science, INFORMS, vol. 61(12), pages 3077-3096, December.
- Zou, Yao & Xia, Meng & Lan, Xingyu, 2025. "Interpretable credit scoring based on an additive extreme gradient boosting," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
- Wilhelmsson, Mats, 2007. "How Can Research Networks Improve The Innovation Process?," Working Paper Series in Economics and Institutions of Innovation 108, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
- Marshall, Andrew & Tang, Leilei & Milne, Alistair, 2010. "Variable reduction, sample selection bias and bank retail credit scoring," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 501-512, June.
- Tomas Mantecon & Paul Thistle, 2011. "The IPO market as a screening device and the going public decision: evidence from acquisitions of privately and publicly held firms," Review of Quantitative Finance and Accounting, Springer, vol. 37(3), pages 325-361, October.
- Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2022.
"Business Training with a Better-Informed Lender: Theory and Evidence from Microcredit in France,"
Annals of Economics and Statistics, GENES, issue 148, pages 65-108.
- Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2015. "Business Training Allocation and Credit Scoring: Theory and Evidence from Microcredit in France," AMSE Working Papers 1526, Aix-Marseille School of Economics, France.
- Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2022. "Business Training with a Better-Informed Lender: Theory and Evidence from Microcredit in France," Sciences Po Economics Publications (main) halshs-03934370, HAL.
- Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2022. "Business Training with a Better-Informed Lender: Theory and Evidence from Microcredit in France," Post-Print halshs-03934370, HAL.
- Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2018. "Business Training and Loan Repayment: Theory and Evidence from Microcredit in France," Working Papers halshs-01774320, HAL.
- Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2015. "Business Training Allocation and Credit Scoring: Theory and Evidence from Microcredit in France," Working Papers CEB 15-030, ULB -- Universite Libre de Bruxelles.
- Adnan Dželihodžić & Dženana Đonko & Jasmin Kevrić, 2018. "Improved Credit Scoring Model Based on Bagging Neural Network," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1725-1741, November.
More about this item
Keywords
; ; ; ; ;JEL classification:
- O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
- O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
NEP fields
This paper has been announced in the following NEP Reports:- NEP-LAM-2001-09-10 (Central and South America)
- NEP-MFD-2001-09-10 (Microfinance)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpdc:0109009. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: EconWPA The email address of this maintainer does not seem to be valid anymore. Please ask EconWPA to update the entry or send us the correct address (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/wpa/wuwpdc/0109009.html