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High dimensional composite index makes experts' preferences in setting weights a hard task. In the literature, one of … motivates theoretical reasons to derive the weights of the elementary indicators in a composite index when multiple components …
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In this article, we propose a cointegration-based Permanent-Transitory decomposition for nonstationary Dynamic Factor Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a common and an idiosyncratic component. The common...
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In this paper we calculate the Italian Cities Sustainable Development Goals (SDGs) Composite Index potentially useful … dimensions representing 16 out of 17 SDGs adopted by the United Nations at the end of September 2015, the index merges 53 … geographical and demographic heterogeneity within the country. By using the Spectral Value Decomposition technique, the index …
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The Gini coefficient of labor earnings in Brazil fell by nearly a fifth between 1995 and 2012, from 0.50 to 0.41. The decline in earnings inequality was even larger by other measures, with the 90-10 percentile ratio falling by almost 40 percent. Although the conventional explanation of a falling...
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We propose a method to decompose changes in the tax structure into a component measuring the level of taxes and a component orthogonal to the level that measures progressivity. While our focus is on the progessivity results, we find that the level shock is similar to standard tax shocks found in...
Persistent link: https://www.econbiz.de/10012138982