ERROR

Kami ingin memohon maaf - walaupun kami melakukan yang terbaik: Ralat berlaku
Typedatabase
MessageYou have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near "AND SUBSTRING(categories_id,4,1) != "0") AS cat4, (SELECT categorie..." at line 5
QuerySELECT (SELECT categories_id FROM categories_description WHERE language_id = 19 AND categories_id = 000) AS cat1, (SELECT categories_id FROM categories_description WHERE language_id = 19 AND categories_id = 00 AND SUBSTRING(categories_id,2,1) != "0") AS cat2, (SELECT categories_id FROM categories_description WHERE language_id = 19 AND categories_id = 0 AND SUBSTRING(categories_id,3,1) != "0") AS cat3, (SELECT categories_id FROM categories_description WHERE language_id = 19 AND categories_id = AND SUBSTRING(categories_id,4,1) != "0") AS cat4, (SELECT categories_name FROM categories_description WHERE language_id = 19 AND categories_id = 000) AS cat1name, (SELECT categories_name FROM categories_description WHERE language_id = 19 AND categories_id = 00 AND SUBSTRING(categories_id,2,1) != "0") AS cat2name, (SELECT categories_name FROM categories_description WHERE language_id = 19 AND categories_id = 0 AND SUBSTRING(categories_id,3,1) != "0") AS cat3name, (SELECT categories_name FROM categories_description WHERE language_id = 19 AND categories_id = AND SUBSTRING(categories_id,4,1) != "0") AS cat4name, (SELECT url_text FROM commerce_seo_url_without_language WHERE categories_id = 000) AS cat1url, (SELECT url_text FROM commerce_seo_url_without_language WHERE categories_id = 00 AND SUBSTRING(categories_id,2,1) != "0") AS cat2url, (SELECT url_text FROM commerce_seo_url_without_language WHERE categories_id = 0 AND SUBSTRING(categories_id,3,1) != "0") AS cat3url, (SELECT url_text FROM commerce_seo_url_without_language WHERE categories_id = AND SUBSTRING(categories_id,4,1) != "0") AS cat4url, (SELECT wod_count_products FROM categories WHERE categories_id = 000) AS cat1cnt, (SELECT wod_count_products FROM categories WHERE categories_id = 00 AND SUBSTRING(categories_id,2,1) != "0") AS cat2cnt, (SELECT wod_count_products FROM categories WHERE categories_id = 0 AND SUBSTRING(categories_id,3,1) != "0") AS cat3cnt, (SELECT wod_count_products FROM categories WHERE categories_id = AND SUBSTRING(categories_id,4,1) != "0") AS cat4cnt

Stephen L. Ross & John Yinger 
Color of Credit [PDF ebook] 
Mortgage Discrimination, Research Methodology, and Fair-Lending Enforcement

Support

An analysis of current findings on mortgage-lending discrimination and suggestions for new procedures to improve its detection.In 2000, homeownership in the United States stood at an all-time high of 67.4 percent, but the homeownership rate was more than 50 percent higher for non-Hispanic whites than for blacks or Hispanics. Homeownership is the most common method for wealth accumulation and is viewed as critical for access to the most desirable communities and most comprehensive public services. Homeownership and mortgage lending are linked, of course, as the vast majority of home purchases are made with the help of a mortgage loan. Barriers to obtaining a mortgage represent obstacles to attaining the American dream of owning one’s own home. These barriers take on added urgency when they are related to race or ethnicity.In this book Stephen Ross and John Yinger discuss what has been learned about mortgage-lending discrimination in recent years. They re-analyze existing loan-approval and loan-performance data and devise new tests for detecting discrimination in contemporary mortgage markets. They provide an in-depth review of the 1996 Boston Fed Study and its critics, along with new evidence that the minority-white loan-approval disparities in the Boston data represent discrimination, not variation in underwriting standards that can be justified on business grounds. Their analysis also reveals several major weaknesses in the current fair-lending enforcement system, namely, that it entirely overlooks one of the two main types of discrimination (disparate impact), misses many cases of the other main type (disparate treatment), and insulates some discriminating lenders from investigation. Ross and Yinger devise new procedures to overcome these weaknesses and show how the procedures can also be applied to discrimination in loan-pricing and credit-scoring.

€89.86
payment methods
Buy this ebook and get 1 more FREE!
Language English ● Format PDF ● Pages 469 ● ISBN 9780262282604 ● Publisher The MIT Press ● Published 2002 ● Downloadable 3 times ● Currency EUR ● ID 7972981 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

128,683 Ebooks in this category