-parametric heteroscedastic regression, and fitted by a localized MM-estimator, combining high robustness and large efficiency. The proposed … method is shown to produce reliable forecasts in the presence of outliers, non-linearity, and heteroscedasticity. In the … absence of outliers, the forecasts are only slightly less precise than those based on a localized Least Squares estimator. An …

We conduct an extensive robustness analysis of the relationship between trust and growth by investigating a later time … period and a bigger sample than in previous studies. In addition to robustness tests that focus on model uncertainty, we …. We find that when outliers (especially China) are removed, the trust-growth relationship is no longer robust. On average …

distributional assumptions, the choice of the welfare statistics of interest, the procedure for computing them, outliers, undesirable …