of certain data moments; the modelís simulated performance for other moments is then compared to the data for these as an … Inference, FII, chooses a set of moments as the auxiliary model and computes the Wald statistic for the joint distribution of … these moments according to the structural DSGE model; it tests the model according to the probability of obtaining the data …

preferences in terms of statistical moments. An implication is, for example, that prudence implies preference for distributions … with higher skewness as defined by all odd moments. Moreover, we show that this preference is robust towards variation in … kurtosis as defined by all even moments. We thus speak of the kurtosis robustness feature of prudence. Further, we show that …

moments; DCC does not have testable regularity conditions; DCC yields inconsistent two step estimators; DCC has no asymptotic …

moments; DCC does not have testable regularity conditions; DCC yields inconsistent two step estimators; DCC has no asymptotic …

We study the recursive moments of aggregate discounted claims, where the dependence between the inter-claim time and … of successive approximation to derive the Neumann series of the recursive moments. We then compute the first two moments …

We develop a new method, based on the use of polar coordinates, to investigate the existence of moments for … results. For JIVE, we obtain the new result that this estimator has no moments at all. Simulation results illustrate the … consequences of its lack of moments. …