This file is part of IDEAS , which uses RePEc data
[ Papers |
Articles |
Software |
Books |
Chapters |
Authors |
Institutions |
JEL Classification |
NEP reports |
Search |
New papers by email |
Author registration |
Rankings |
Volunteers |
FAQ |
Blog |
Help! ]
Statistical Classification Methods in Consumer Credit Scoring: a Review Author info | Abstract | Publisher info | Download info | Related research | Statistics D. J. Hand
W. E. Henley
No abstract is available for
this item.
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page . Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society) .
Volume (Year): 160 (1997)
Issue (Month): 3 ()
Pages: 523-541
Download reference. The following formats are available: HTML
(with abstract ),
plain text
(with abstract ),
BibTeX ,
RIS (EndNote, RefMan, ProCite),
ReDIF
Handle: RePEc:bla:jorssa:v:160:y:1997:i:3:p:523-541Contact details of provider: Web page: http://www.blackwellpublishing.com/journal.asp?ref=0964-1998
Order Information: Web: http://www.blackwellpublishing.com/subs.asp?ref=0964-1998
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Keywords: Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Allen N. Berger & W. Scott Frame & Nathan H. Miller, 2002.
"Credit scoring and the availability, price, and risk of small business credit ,"
Finance and Economics Discussion Series
2002-26, Board of Governors of the Federal Reserve System (U.S.).
[Downloadable!]
Other versions:
Allen N. Berger & W. Scott Frame & Nathan H. Miller, 2002.
"Credit scoring and the availability, price, and risk of small business credit ,"
Working Paper
2002-6, Federal Reserve Bank of Atlanta.
[Downloadable!] Berger, Allen N & Frame, W Scott & Miller, Nathan H, 2005.
"Credit Scoring and the Availability, Price, and Risk of Small Business Credit ,"
Journal of Money, Credit and Banking ,
Blackwell Publishing, vol. 37(2), pages 191-222, April.
Gutierrez Girault, Matias Alfredo, 2007.
"Modelos de credit scoring: qué, cómo, cuándo y para qué [Credit scoring models: what, how, when and for what purposes] ,"
MPRA Paper
16377, University Library of Munich, Germany.
[Downloadable!]
Robert Till & David Hand, 2003.
"Behavioural models of credit card usage ,"
Journal of Applied Statistics ,
Taylor and Francis Journals, vol. 30(10), pages 1201-1220, December.
[Downloadable!] (restricted)
Li Gan & Roberto Mosquera, 2008.
"An Empirical Study of the Credit Market with Unobserved Consumer Typers ,"
NBER Working Papers
13873, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Mark Schreiner, 2001.
"A Scoring Model of the Risk of Costly Arrears at a Microfinance Lender in Bolivia ,"
Development and Comp Systems
0109005, EconWPA.
[Downloadable!]
M. Müller & B. Rönz, .
"Credit Scoring using Semiparametric Methods ,"
Sonderforschungsbereich 373
1999-93, Humboldt Universitaet Berlin.
G. Verstraeten & D. Van Den Poel, 2004.
"The Impact of Sample Bias on Consumer Credit Scoring Performance and Profitability ,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
04/232, Ghent University, Faculty of Economics and Business Administration.
[Downloadable!]
Degryse, H.A. & Cerqueiro, G.M. & Ongena, S., 2007.
"Distance, Bank Organizational Structure and Credit ,"
Discussion Paper
2007-018, Tilburg University, Tilburg Law and Economic Center.
[Downloadable!]
Kiefer, Nicholas M. & Larson, C. Erik, 2006.
"Specification and Informational Issues in Credit Scoring ,"
Working Papers
06-11, Cornell University, Center for Analytic Economics.
[Downloadable!]
Mark Schreiner, 2001.
"Credit Scoring for Microfinance: Can It Work? ,"
Development and Comp Systems
0108003, EconWPA, revised 27 Dec 2001.
[Downloadable!]
Berden, Caroline & Peters, Hans, 2006.
"On the effect of risk aversion in two-person, two-state finance economies ,"
Research Memoranda
011, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
[Downloadable!]
Elliott Middleton, 2001.
"'Animal spirits' and expectations in U.S. recession forecasting ,"
Quantitative Finance Papers
nlin/0108012, arXiv.org, revised Aug 2001.
[Downloadable!]
Mark Schreiner, 2001.
"Scoring Drop-Out at a Microlender in Bolivia ,"
Development and Comp Systems
0109009, EconWPA.
[Downloadable!]
Cerqueiro, Geraldo & Degryse, Hans & Ongena, Steven, 2007.
"Rules versus Discretion in Loan Rate Setting ,"
CEPR Discussion Papers
6450, C.E.P.R. Discussion Papers.
[Downloadable!] (restricted)
Other versions:
Cerqueiro, G.M. & Degryse, H.A. & Ongena, S., 2007.
"Rules versus Discretion in Loan Rate Setting ,"
Discussion Paper
2007-59, Tilburg University, Center for Economic Research.
[Downloadable!] Cerqueiro, G.M. & Degryse, H.A. & Ongena, S., 2007.
"Rules versus Discretion in Loan Rate Setting ,"
Discussion Paper
2007-026, Tilburg University, Tilburg Law and Economic Center.
[Downloadable!] Geraldo Cerqueiro & Hans Degryse & Steven Ongena, 2007.
"Rules versus Discretion in Loan Rate Setting ,"
CESifo Working Paper Series
CESifo Working Paper No. , CESifo Group Munich.
[Downloadable!]
Access and
download statistics Did you know? You can use IDEAS to provide links to papers and articles in your course syllabus.
This page was last updated on 2009-11-22.
This information is provided to you by IDEAS at the Department of Economics , College of Liberal Arts and Sciences , University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics .