Redlining, the Community Reinvestment Act, and Private Mortgage Insurance

This paper examines whether neighborhood racial or income composition influences a lender's treatment of mortgage applications. Recent studies have found little evidence of differential treatment based on either the racial or income composition of the neighborhood, once the specification accounts for neighborhood risk factors. This paper suggests that lenders may favor applicants from CRA-protected neighborhoods if they obtain Private Mortgage Insurance (PMI) and that this behavior may mask lender redlining of low income and minority neighborhoods. For loan applicants who are not covered by PMI, this paper finds strong evidence that applications for units in low-income neighborhoods are less likely to be approved, and some evidence that applications for units in minority neighborhoods are less likey to be approved, regardless of the race of the applicant. This pattern is not visible in earlier studies because lenders appear to treat applications from these neighborhoods more favorably when the applicant obtains PMI.

Other Things Being Equal: A Paired Testing Study of Discrimination in Mortgage Lending

This article summarizes a recently completed study, funded by the U.S. Department of Housing and Urban Development (HUD) and conducted by the Urban Institute, of discrimination against black and Hispanic homebuyers when they visit mortgage lending institutions in two major metropolitan markets to make pre-application inquiries. It represents the first application of paired testing to rigorously measure discrimination in the mortgage lending process. The paired tests disclosed significant levels of adverse treatment on the basis of race and ethnicity, with African Americans and Hispanics receiving less information and assistance than comparable whites, even at this very early stage in the application process.

Benford's Law and Fraud Detection. Facts and Legends

Is Benford's law a good instrument to detect fraud in reports of statistical and scientific data? For a valid test the probability of "false positives" and "false negatives" has to be low. However, it is very doubtful whether the Benford distribution is an appropriate tool to discriminate between manipulated and non-manipulated estimates. Further research should focus more on the validity of the test and test results should be interpreted more carefully.

Business ethics: a way to identify fraud from the basics

When we look to perform a work for developing a framework to create a business and take it correctly, there are always some persons looking as a challenge those bases and finding a mistake. The way to work in these situations is not a matter of law, is a matter of devoting time to identify these situations. It is always said that the evil goes a step ahead. The business ethics have been altered for quite time by some would-be entrepreneurs. These people have learned to play with business ethics to show your business as prosperous as something that is sought to highlight and adulterate their results quickly. Once the company reaches an international dimension, many companies take on global responsibility and, in these cases where you can see if the objective has been to obtain a rapid capital increase or growth is in line with its proportions. A business ethics is based on establishing a strong base so that interest is encouraged from an early time. Good staff, organizational level should be achieved and not only at the company but, out of the company too. Thus, you can create a secure base to convince potential investors and employees about the business. There are no freeways in business ethics and all fast track can be or a genius or leads to failure. We must find where these jumps are occurring, such errors or corrections to business ethics and their rules. Thus we can differentiate a company or an entrepreneur who is working correctly from the cloaking. Starting from the basics of business ethics and studying the different levels from the personal to the prospect that the company shows in the world. Lets see where these changes are occurring and how we can fight against them and anticipate the market to possible cases of fraud or strange movements seeking to attract the unwary