A common problem in out-of-sample prediction is that there are potentially many relevant predictors that individually have only weak explanatory power. We propose bootstrap aggregation of pre-test predictors (or bagging for short) as a means of constructing forecasts from multiple regression...

Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....

We analyze the compliance behavior of the small-scale fishery boat-owners of the Galapagos Marine Reserve. Our empirical analysis considers aspects related to the participatory management system of the reserve as determinant factors of the decision to violate the regulations. The econometric...