<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">This paper examines mortgage delinquency rates for loans in each state and Washington, DC from 2004 through 2009 in order to gain insight into the key factors that drive residential mortgage delinquency.<span style="mso-spacerun: yes;">&nbsp; </span>Models are estimated for 30-day, 60-day, 90-day, 90+ day, and all delinquency rates.<span style="mso-spacerun: yes;">&nbsp; </span>Prime and subprime loans are modeled separately in cross-sectional time series regressions.<span style="mso-spacerun: yes;">&nbsp; </span>The findings suggest that borrower income, type of loan, and the general health of the economy remain important in determining delinquency risk.<span style="mso-spacerun: yes;">&nbsp; </span>Also, factors that determine 30- and 60-day delinquency rates differ from those that determine 90-day and 90+ day delinquency rates.<span style="mso-spacerun: yes;">&nbsp; </span>In addition, factors that determine prime delinquency rates differ from those that determine subprime delinquency rates.<span style="mso-spacerun: yes;">&nbsp; </span>Finally, borrower race does not consistently explain delinquency rates.<span style="mso-spacerun: yes;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span></p>

Initiative (CCI) on state legislators' attitude toward economic funding for community colleges. Data on legislators' attitude toward community colleges funding were collected using a customized Community College Goals Inventory (CCGI) survey developed by the Educational Testing Service (ETS), the American Association of Community and Junior Colleges. Data were analyzed using descriptive and inferential statistics including measures of central tendency and dispersion as well as ANOVA, regression analysis, t-test or F-test. The results indicated that President Obama's Community College Initiative has had a positive and statistically significant influence on state legislators' attitude toward community college funding. Additionally, demographic characteristics and information sources, that is, where legislators obtain their knowledge to make decision about educational policies both had a positive and statistically significant impact on legislators' attitude toward community college funding. The article provides insight into funding-attitude markers, that can be used as capital by community college presidents to shape funding policies affecting their institutions.

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This article evaluates a financial literacy curriculum at the Howard University (HU) School of Business, by measuring the financial knowledge acquired after participating in a variety of programs. To evaluate the HU curriculum, the National Jump$tart Coalition (NJC) survey was administered to collect data on financial knowledge and demographic characteristics. Descriptive statistics and regression analysis were used to study the data. The results show that HU-Business students performance was comparable to Jump$tarts national average for college students and Business/Economics students. HU Business students scored higher than the Jump$tarts African American student sample. The regression analysis helped identity key factors that influence financial awareness for HU students including having checking account, electronic tax preparation, taking a course in personal finance or money management, GPA, and frequently balancing check book.

This paper examines the impact of state laws on foreclosure starts using mortgage, borrower, and economic data at the state level. Several models are studied to capture the impact of state-specific foreclosure laws and statutes, i.e. loss mitigation requirement before foreclosure, right to cure, and right to reinstate before sale. Data sources include Mortgage Bankers Association, Home Mortgage Disclosure Act, US Census, National Consumer Law Center-Survey of State Foreclosure Laws, and Experian. The study shows that statewide pre-and post-sale foreclosure-prevention statutes impact foreclosure starts. The results indicate statutory programs involving housing emergency assistance funds statistically slow foreclosure starts.