-case specification error under various forms of misspecification of the parametric distribution of unobservables. In addition, we … relative to parametric model-based estimators. As illustrations, we report PAE estimates of distributions of neighborhood …

We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic …

robustness properties of PAE for estimation and prediction. As illustrations, we report PAE estimates of distributions of … show that PAE have minimum worst-case bias under local misspecification of the parametric distribution of unobservables … posterior conditioning, which quantifies the bias of PAE relative to parametric modelbased estimators, and we study other …

We propose a framework for estimation and inference about the parameters of an economic model and predictions based on …

We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic …

assets. Three main Value at Risk (VaR) methodologies are decribed and explained in detail: historical method, parametric … portfolio from the Croatian capital market with historical and parametric VaR method, after which the results were compared and …