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Циклы Макроэкономических Показателей и Солнечной Активности : Механизм и Факты Сильных Устойчивых Связей (1867–2014 Гг.) (Cycles of Macroeconomic Indicators and Solar Activity: Mec...

Belkin, Vladimir - 2015

Автор выявил сильные связи циклов мирового продукта (1961–2014 гг.), ВВП США (1867–2014 гг.), ВВП Великобритании (1893–2013гг.), индекса промышленного производства России...

Persistent link: https://www.econbiz.de/10013017799

Tracking economic growth in real time during the pandemic : a rationale for a revision of €-coin

Aprigliano, Valentina; Emiliozzi, Simone; Lippi, Marco - 2022

Persistent link: https://www.econbiz.de/10013268237

Reconciling unemployment claims with job losses in the first months of the COVID-19 crisis

Cajner, Tomaz; Figura, Andrew; Price, Brendan M.; … - 2020

Persistent link: https://www.econbiz.de/10012388713

Financial condition index : could it be a better policy instrument in context of India?

Banerjee, Sayan; Dasgupta, Chandan - In: Indian journal of economics & business : IJEB 16 (2017) 1, pp. 153-160

Persistent link: https://www.econbiz.de/10011715159

Euro Area : uncertainty weighs temporarily on recovery

Boysen-Hogrefe, Jens; Fiedler, Salomon; Groll, Dominik; … - 2016

Economic Recovery in the Euro Area has lost momentum in the second half of 2015. Due to dampening effects from the world economy and a marked increase in political uncertainty, a number of sentiment indicators also point downwards. Nevertheless, domestic demand increased rather strongly, while...

Persistent link: https://www.econbiz.de/10012063526

Economic sentiment indicators and their prediction capabilities in business cycles of EU countries

Tkacova, Andrea; Gavurova, Beata - In: Oeconomia Copernicana 14 (2023) 3, pp. 977-1008

Persistent link: https://www.econbiz.de/10014521060

Using the dynamic bi-factor model with Markov switching to predict the cyclical turns in the large European economies

Kholodilin, Konstantin A. (contributor) - 2006

The appropriately selected leading indicators can substantially improve the forecasting of the peaks and troughs of the business cycle. Using the novel methodology of the dynamic bi-factor model with Markov switching and the data for three largest European economies (France, Germany, and UK) we...