This study explores whether financial literacy can enhance the ability to predict credit default by farmers using machine-learning models. It introduces a hybrid model combining k-means clustering and Adaboost to predict loan default using data on 10,396 farmers who obtained credit from Chinese...

Using a representative panel dataset, this study focuses on stock market expectations as well as the accuracy of forecasts made by private households in Germany. First, I find evidence that higher financial literacy is associated with lower stock market expectations. However, there is no...

A large number of studies in labor economics estimate the returns to schooling using data on monozygotic twins, under the assumption that educational attainment is random within twin pairs. This exogeneity assumption has been commonly questioned, however, but there is to date little evidence on...

In the present world where education is considered an important factor, all educational institutions are facing competition at a higher level. Students are diverted towards doing higher courses offered by numerous institutes, universities, and colleges, however with the increase in the number of...

The predictive power of the PISA test items for future student success is examined based on data from the Longitudinal Surveys of Australian Youth (LSAY) for the PISA 2003 cohort. This working paper analyses how students’ responses to mathematics and problem-solving items in PISA 2003 are...

We compare the performance of financial professionals (CFAs) with university students in four financial forecasting tasks ranging from simple lab prediction tasks to longitudinal field tasks. Although students and professionals performed similarly in the artificial forecasting tasks, their...