This paper uses FBFM (Illinois Farm Business Farm Management Association) data to analyze several key factors in the decision to categorize borrowers into acceptable or problematic and to classify borrowers across five classes. Net worth does not play significant role in the decision process for...

This study fills a gap in the knowledge of factors determining the use of Federal Home Loan Bank (FHLB) advances (loans) by small banks (commercial banks with assets of $500 million or less). Using data from the Call Report and the Summary of Deposits, the study finds that in the four years...

Employing a logit model and farm-level data for Illinois from 1995 to 2004, this study explores the importance of farm-type differences in the development of credit scoring models. Apart from the conclusion that regional credit scoring models specific to each farm type are needed, the following...

Using a balanced panel of 184 unique Illinois farmers from 2000 to 2006, this study identifies the most pertinent factors that explain farmer repayment capacity. After correcting for endogeneity bias caused by farmer-specific effects by running a fixed effects regression model, we find that the...

Given the changes made to the agricultural lending system since the 1980s farm crisis, we investigate the current effects of credit availability on land values. Using data from Federal Reserve Agricultural Credit Surveys, we measure credit availability and perform county-level panel fixed...

This study compares the economic well-being of farm and nonfarm households using data from the Agricultural Resource Management Survey and the Survey of Consumer Finances. Comparisons are made in terms of income and wealth using parametric and nonparametric tests, regression analyses, and...