skip to content
How low can you go? : an optimal sampling strategy for Fair Lending exams Preview this item
ClosePreview this item
Checking...

How low can you go? : an optimal sampling strategy for Fair Lending exams

Author: Jason Lynn Dietrich; United States. Office of the Comptroller of the Currency.
Publisher: [Washington, D.C.] : U.S. Office of the Comptroller of the Currency, [2001]
Series: Economic and policy analysis working paper (2000), 2001-3.
Edition/Format:   eBook : Document : National government publication : EnglishView all editions and formats
Database:WorldCat
Summary:
"This study uses Monte Carlo simulation to examine the impact of nine sampling strategies on the finite sample performance of the maximum likelihood logit estimator. Empirical researchers face a tradeoff between the lower resource costs associated with smaller samples and the increased confidence in the results gained from larger samples. Choice of sampling strategy is one tool researchers can use to reduce costs  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Additional Physical Format: Dietrich, Jason.
How low can you go?
27 p.
(OCoLC)48172392
Material Type: Document, Government publication, National government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jason Lynn Dietrich; United States. Office of the Comptroller of the Currency.
OCLC Number: 54357063
Notes: Title from title screen (viewed Jan. 30, 2004).
"August 2001."
Description: 1 online resource (27 pages).
Details: Mode of access: Internet via the OCC Web site. Address as of 01/30/04: http://www.occ.treas.gov/ftp/workpaper/wp2001-3.pdf; current access is available via PURL.
Series Title: Economic and policy analysis working paper (2000), 2001-3.
Responsibility: Jason Dietrich.

Abstract:

"This study uses Monte Carlo simulation to examine the impact of nine sampling strategies on the finite sample performance of the maximum likelihood logit estimator. Empirical researchers face a tradeoff between the lower resource costs associated with smaller samples and the increased confidence in the results gained from larger samples. Choice of sampling strategy is one tool researchers can use to reduce costs yet still attain desired confidence levels. The nine sampling strategies examined in this study include simple random sampling and eight variations of stratified random sampling. Bias, mean-square-error, percentage of models that are feasibly estimated, and percentage of simulated estimates that differ statistically from the true population parameters are used as measures of finite sample performance. The results show stratified random sampling by action (loan approval/denial) and race of the applicant, with balanced strata sizes and a bias correction for choice-based sampling, outperforms each of the other sampling strategies with respect to the four performance measures. These findings, taken together with supporting evidence presented in Scheuren and Sangha (1998) and Giles and Courchane (2000) make a strong argument for implementing such a sampling strategy in future fair lending exams"--Office of the Comptroller of the Currency web site.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/54357063> # How low can you go? : an optimal sampling strategy for Fair Lending exams
    a schema:MediaObject, schema:CreativeWork, schema:Book ;
   library:oclcnum "54357063" ;
   library:placeOfPublication <http://id.loc.gov/vocabulary/countries/dcu> ;
   library:placeOfPublication <http://experiment.worldcat.org/entity/work/data/12436150#Place/washington_d_c> ; # Washington, D.C.
   schema:about <http://id.worldcat.org/fast/1025819> ; # Monte Carlo method
   schema:about <http://id.worldcat.org/fast/826717> ; # Bank loans--Mathematical models
   schema:about <http://id.loc.gov/authorities/subjects/sh2009116652> ; # Bank examination--United States
   schema:about <http://id.worldcat.org/fast/1204155> ; # United States.
   schema:about <http://id.worldcat.org/fast/826648> ; # Bank examination
   schema:about <http://id.loc.gov/authorities/subjects/sh2009116659> ; # Bank loans--Mathematical models
   schema:bookFormat schema:EBook ;
   schema:contributor <http://viaf.org/viaf/141252436> ; # United States. Office of the Comptroller of the Currency.
   schema:creator <http://viaf.org/viaf/19222485> ; # Jason Lynn Dietrich
   schema:datePublished "2001" ;
   schema:description ""This study uses Monte Carlo simulation to examine the impact of nine sampling strategies on the finite sample performance of the maximum likelihood logit estimator. Empirical researchers face a tradeoff between the lower resource costs associated with smaller samples and the increased confidence in the results gained from larger samples. Choice of sampling strategy is one tool researchers can use to reduce costs yet still attain desired confidence levels. The nine sampling strategies examined in this study include simple random sampling and eight variations of stratified random sampling. Bias, mean-square-error, percentage of models that are feasibly estimated, and percentage of simulated estimates that differ statistically from the true population parameters are used as measures of finite sample performance. The results show stratified random sampling by action (loan approval/denial) and race of the applicant, with balanced strata sizes and a bias correction for choice-based sampling, outperforms each of the other sampling strategies with respect to the four performance measures. These findings, taken together with supporting evidence presented in Scheuren and Sangha (1998) and Giles and Courchane (2000) make a strong argument for implementing such a sampling strategy in future fair lending exams"--Office of the Comptroller of the Currency web site."@en ;
   schema:exampleOfWork <http://worldcat.org/entity/work/id/12436150> ;
   schema:genre "National government publication"@en ;
   schema:genre "Government publication"@en ;
   schema:inLanguage "en" ;
   schema:isPartOf <http://experiment.worldcat.org/entity/work/data/12436150#Series/economic_and_policy_analysis_working_paper_2000> ; # Economic and policy analysis working paper (2000) ;
   schema:isPartOf <http://experiment.worldcat.org/entity/work/data/12436150#Series/economic_and_policy_analysis_working_paper> ; # Economic and policy analysis working paper ;
   schema:isSimilarTo <http://www.worldcat.org/oclc/48172392> ;
   schema:name "How low can you go? : an optimal sampling strategy for Fair Lending exams"@en ;
   schema:productID "54357063" ;
   schema:publication <http://www.worldcat.org/title/-/oclc/54357063#PublicationEvent/washington_d_c_u_s_office_of_the_comptroller_of_the_currency_2001> ;
   schema:publisher <http://experiment.worldcat.org/entity/work/data/12436150#Agent/u_s_office_of_the_comptroller_of_the_currency> ; # U.S. Office of the Comptroller of the Currency
   schema:url <http://bibpurl.oclc.org/web/42787> ;
   schema:url <http://www.occ.gov/publications/publications-by-type/economics-working-papers/2008-2000/wp2001-3.pdf> ;
   schema:url <http://purl.access.gpo.gov/GPO/LPS42687> ;
   wdrs:describedby <http://www.worldcat.org/title/-/oclc/54357063> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/12436150#Agent/u_s_office_of_the_comptroller_of_the_currency> # U.S. Office of the Comptroller of the Currency
    a bgn:Agent ;
   schema:name "U.S. Office of the Comptroller of the Currency" ;
    .

<http://experiment.worldcat.org/entity/work/data/12436150#Place/washington_d_c> # Washington, D.C.
    a schema:Place ;
   schema:name "Washington, D.C." ;
    .

<http://experiment.worldcat.org/entity/work/data/12436150#Series/economic_and_policy_analysis_working_paper> # Economic and policy analysis working paper ;
    a bgn:PublicationSeries ;
   schema:hasPart <http://www.worldcat.org/oclc/54357063> ; # How low can you go? : an optimal sampling strategy for Fair Lending exams
   schema:name "Economic and policy analysis working paper ;" ;
    .

<http://experiment.worldcat.org/entity/work/data/12436150#Series/economic_and_policy_analysis_working_paper_2000> # Economic and policy analysis working paper (2000) ;
    a bgn:PublicationSeries ;
   schema:hasPart <http://www.worldcat.org/oclc/54357063> ; # How low can you go? : an optimal sampling strategy for Fair Lending exams
   schema:name "Economic and policy analysis working paper (2000) ;" ;
    .

<http://id.loc.gov/authorities/subjects/sh2009116652> # Bank examination--United States
    a schema:Intangible ;
   schema:name "Bank examination--United States"@en ;
    .

<http://id.loc.gov/authorities/subjects/sh2009116659> # Bank loans--Mathematical models
    a schema:Intangible ;
   schema:name "Bank loans--Mathematical models"@en ;
    .

<http://id.worldcat.org/fast/1025819> # Monte Carlo method
    a schema:Intangible ;
   schema:name "Monte Carlo method"@en ;
    .

<http://id.worldcat.org/fast/1204155> # United States.
    a schema:Place ;
   schema:name "United States." ;
    .

<http://id.worldcat.org/fast/826648> # Bank examination
    a schema:Intangible ;
   schema:name "Bank examination"@en ;
    .

<http://id.worldcat.org/fast/826717> # Bank loans--Mathematical models
    a schema:Intangible ;
   schema:name "Bank loans--Mathematical models"@en ;
    .

<http://viaf.org/viaf/141252436> # United States. Office of the Comptroller of the Currency.
    a schema:Organization ;
   schema:name "United States. Office of the Comptroller of the Currency." ;
    .

<http://viaf.org/viaf/19222485> # Jason Lynn Dietrich
    a schema:Person ;
   schema:familyName "Dietrich" ;
   schema:givenName "Jason Lynn" ;
   schema:name "Jason Lynn Dietrich" ;
    .

<http://www.worldcat.org/oclc/48172392>
    a schema:CreativeWork ;
   rdfs:label "How low can you go?" ;
   schema:isSimilarTo <http://www.worldcat.org/oclc/54357063> ; # How low can you go? : an optimal sampling strategy for Fair Lending exams
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.