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In this paper business cycles are considered as a multivariate phenomenon and not as a univariate one determined e.g. by the GNP. The subject is to look for the number of phases of a business cycle, which can be motivated by the number of clusters in a given dataset of macro-economic variables....
Persistent link: https://www.econbiz.de/10009789904
The accuracy of U.N. population projections is examined. The goal is to measure the amount of uncertainty associated with past projections of the United Nations in order to provide a reaiistic measure of the uncertainty in the projection that the U.N. makes in the future. Various descriptive...
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The data mining technique of time series clustering is well established in many fields. However, as an unsupervised learning method, it requires making choices that are nontrivially influenced by the nature of the data involved. The aim of this paper is to verify usefulness of the time series...
Persistent link: https://www.econbiz.de/10011885973
economic theory in this field after decades of globalization and in the midst of a persisting global crisis, in paragraphs 2 … why the models of capitalism theory is relevant for studying multidimensional inequality. These paragraphs emphasise that … the process of increasing inequality, the notion of symbolic violence and the models of capitalism theory. In the last …
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The way firms finance their investments can potentially explain the heterogeneity of firms in terms of their innovation. We use a novel firm-level survey of the European Investment Bank (EIBIS) which provides information about a wide range of financing sources that firms use to fund their...
Persistent link: https://www.econbiz.de/10011781102
There is growing literature in macroeconomics, especially on business cycle synchronization, employing different methods of time series clustering. However, even as an unsupervised learning method, this technique requires making choices that are nontrivially influenced by the nature of the data...
Persistent link: https://www.econbiz.de/10011763799