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Supervised machine learning methods, in which no error labels are present, are increasingly popular methods for identifying potential data errors. Such algorithms rely on the tenet of a 'ground truth' in the data, which in other words assumes correctness in the majority of the cases. Points...
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The study aims at describing productivity growth in the manufacturing sector for a selected panel of five European countries using firm-level data. The paper explores the empirical regularities of firm productivity distribution across countries. In particular, we assess the degree of persistence...
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the first time publishing microdata from the field of fiscal statistics. The scientific community can use these data to … a research project. In the article entitled De facto anonymised microdata file on income tax statistics 1998, in … Deutschland zum ersten Mal Mikrodaten aus dem Bereich der Finanzstatistik. Die Wissenschaft kann diese Daten nutzen, um politisch …
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In this paper we explore the degree of anchoring of consumers' long-run inflation expectations. If expectations are firmly anchored, short- and long-run expectations should show no comovement in response to transitory shocks. Utilizing the University of Michigan Survey of Consumer's rotating...
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We investigate the updating behavior of individual consumers regarding their short and long-run inflation expectations. Utilizing the University of Michigan Survey of Consumer's rotating panel microstructure, we can identify whether individuals adjust their inflation expectations over a period...
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