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Marketing budget allocation across countries : the role of international business cycles

Peers, Yuri; Heerde, Harald J. van; Dekimpe, Marnik G. - In: Marketing science 36 (2017) 5, pp. 792-809

Persistent link: https://www.econbiz.de/10011760408

A DSGE model for the Slovenian economy : model estimates and application

Kuštrin, Andrej - In: Economic and business review : EBR 21 (2019) 2, pp. 143-211

Persistent link: https://www.econbiz.de/10012268543

Measuring the international dimension of output volatility

Everaert, Gerdie; Iseringhausen, Martin - 2017

Persistent link: https://www.econbiz.de/10012007275

Heterogeneous switching in FAVAR models

Guérin, Pierre; Leiva-León, Danilo - In: Essays in honour of Fabio Canova, (pp. 65-98). 2022

Persistent link: https://www.econbiz.de/10013443910

Forecasting Spanish economic activity in times of COVID-19 by means of the RT-LEI and machine learning techniques

Poza, Carlos; Monge González, Manuel - In: Applied economics letters 30 (2023) 4, pp. 472-477

Persistent link: https://www.econbiz.de/10013553654

The boosted Hodrick-Prescott filter is more general than you might think

Mei, Ziwei; Phillips, Peter C. B.; Shi, Zhentao - In: Journal of applied econometrics 39 (2024) 7, pp. 1260-1281

Persistent link: https://www.econbiz.de/10015156853

Analysing short term developments in key economic indicators : predicting the sign of period on period changes

Ruth, Floris van - 2014

Persistent link: https://www.econbiz.de/10010393922

Predictability in sovereign bond returns using technical trading rules : do developed and emerging markets differ?

Fong, Tom; Wu, Shui Tang - 2019

Persistent link: https://www.econbiz.de/10012202832

Recession forecasting with high-dimensional data

Nevasalmi, Lauri - In: Journal of forecasting 41 (2022) 4, pp. 752-764

Persistent link: https://www.econbiz.de/10013287849

Uncertainty about the war in Ukraine : measurement and effects on the German business cycle

Grebe, Moritz; Kandemir, Sinem; Tillmann, Peter - 2023

We assemble a data set of more than eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index...

Persistent link: https://www.econbiz.de/10014285114