The binary and multinomial logit models are applied for prediction of the Russian banks defaults (license withdrawals) using data from bank balance sheets and macroeconomic indicators. Significantly different models correspond to the two main grounds for license withdrawal: financial insolvency...

Agricultural Resource Management Survey (ARMS) data for 2003 were used to estimate two binary logit models for two definitions of genetically modified (GM) cottonseed adoption. Results indicate conservation tillage did not positively affect adoption of GM cotton with either of these definitions,...

This article develops a simple methodology for calculation of growth effects of industrial clusters at national level and estimates the economic determinants of the clusters’ size-class of production by using data on 354 individual industrial clusters in India. Gross value of industrial...