This paper constructs internationally consistent measures of macroeconomic uncertainty. Our econometric framework extracts uncertainty from revisions in data obtained from standardized national accounts. Applying our model to quarterly post-WWII real-time data, we estimate macroeconomic...

This paper presents a forecasting model of unemployment based on labor force ows data that, in real time, dramatically outperforms the Survey of Professional Forecasters, historical forecasts from the Federal Reserve Board's Greenbook, and basic time-series models. Our model's forecast has a...

Accurate employee turnover prediction models are critical in the early detection of unanticipated turnover, and thus giving managers sufficient time to deal with turnover related management issues. The logit and probit models have been successfully applied to solve nonlinear classifying and...

Gaining highly skilled human capital is one of the key motivations for mergers and acquisitions (M&A), particularly in knowledge-intensive sectors such as the technology industry. However, the inherent cultural differences and organizational misalignments during the integration process can lead...

Accurate employee turnover prediction plays an important role in providing early information for unanticipated turnover. A novel classification technique, support vector machines (SVMs), has been successfully employed in many fields to deal with classification problems. However, the application...