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estimation of these two top distributions. We leverage the bivariate parametric/non-parametric copula to extrapolate both income … and wealth distributions from German PHF (Panel on Household Finance) data. The copula modelling potentially reduces the …. The copula estimate can help us to perform out-of-sample prediction on the very top of the tail distribution from one …
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estimation of these two top distributions by using the best data available for Germany. We leverage the bivariate copula to … model. The copula modelling grants the separability in choosing the estimation domain as well as the parametric … model fit with external validation. The copula estimate can help us to perform out-of-sample prediction on the very top of …
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income inequality and emissions by applying distributional copula models on an unbalanced panel data set of 154 countries …
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We examine the sensitivity of estimates and inequality indices to extreme values, in the sense of their robustness properties and of their statistical performance. We establish that these measures are very sensitive to the properties of the income distribution. Estimation and inference can be...
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