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. The research presented involved developing algorithms for the implementation of linear regression for estimating CVaR as a … function of some factors. Such regression is called CVaR (superquantile) regression. The main statement of this paper is: CVaR … linear regression can be reduced to minimizing the Rockafellar error function with linear programming. The theoretical basis …
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quantile regression approach. The OLS model results point to a blend of both significant and insignificant relationship between …
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Spanish Actuarial Climate Index (SACI). We attempt to explain the former through the latter using regression and quantile … regression models. Our main finding is that climate change, as measured by the SACI, explains these three dependent variables. We …
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Individual absolute risk aversion is measured for a sample of 1373 male household heads, using the 1995 wave of the Survey on the Income and Wealth of Italian households. This measure, conditional on financial and real wealth and household income, is used as an instrument for attained education...
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in the data can be calculated with local polynomial regression. A change in the sign of the slope can be interpreted as a …
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This paper examines whether growth regressions should incorporate dualism and structural change. If there is a differential across sectors in the marginal product of labour, changes in the structure of employment can raise aggregate total factor productivity. The paper develops empirical growth...
Persistent link: https://www.econbiz.de/10010261270