This paper uses 2005 Home Mortgage Disclosure Act data aggregated by census tract to measure the relationship between census tract-level college completion rates and the rates at which first lien refinance mortgage applicants submit incomplete loan applications, withdraw loan applications before they are reviewed, and reject lender approved loan offers. This paper also explores the relationship...

The University of North Texas (UNT) Libraries has developed a unique collection assessment tool, the Collection Map, to provide support for a new access‐based collection development philosophy. UNT Librarians realized the limitations of traditional assessment methods to gauge the impact of emerging acquisitions models such as demand‐driven acquisitions (DDA) and large interdisciplinary e‐book c...

Author(s): Gene E. Robinson, Jody A. Banks, Dianna K. Padilla, Warren W. Burggren, C. Sarah Cohen, Charles F. Delwiche, Vicki Funk, Hopi E. Hoekstra, Erich D. Jarvis, Loretta Johnson, Mark Q. Martindale, Carlos Martinez Del Rio, Monica Medina, David E. Salt, Saurabh Sinha, Chelsea Specht, Kevin Strange, Joan E. Strassmann, Billie J. Swalla and Lars Tomanek Source: BioScience, 60(11):923-930. 20...

index Access only to abstracts provided Usage Packages, Databases Citations/impact factor How often journal is cited both locally and globally Cost per use Successful full-text downloads/cost Interlibrary loan (ILL) use Comparing cost per use with cost of ILL JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY—•• 2015 3 DOI: 10.1002/asi 520 JOURNAL OF THE ASSOCIATION F R INFORMATI...

In 8] and 9] W. Mackens and the present author presented two generalizations of a method of Cybenko and Van Loan 4] for computing the smallest eigenvalue of a symmetric, positive deenite Toeplitz matrix. Taking advantage of the symmetry or skew symmetry of the corresponding eigenvector both methods are improved considerably.

This paper develops a structural, dynamic model of a banking firm to analyse how banks adjust their loan portfolios over time. In the model, banks experience capital shocks, face uncertain future loan demand, and incur costs based on their proximity to regulatory minimum capital requirements. Non-linear relationships between bank capital levels and lending are derived from the model, and key pa...

This study introduces i-Neuro, a decision support system that can assist in loan decision making by educational loan funding institutions. i-Neuro is a predictive system that integrates Neural Network technique, thus can help the management to predict which application to accept or reject. The prediction can be done as Neural Network has trained previous batch of loan application data and store...

INTRODUCTION There is an ongoing shortage of rural healthcare providers relative to urban healthcare providers worldwide. Many strategies have been implemented to increase the distribution of rural healthcare providers, and financial incentives such as loan repayment programs have become popular means to both recruit and retain healthcare providers in rural communities. Studies detailing the ef...

This paper presents a framework for estimating losses for residential mortgage loans. At the core is a transitions-based probability of default model which yields directly observable cash-flows at the loan level. The estimated model includes coefficients on unemployment, Loan to Value ratio and interest rates, all of which allow a macroeconomic scenario to be fed through the model and impact lo...