Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Beck, Guenter W."'
Autor:
Beck, Günter W., Lein, Sarah M.
Publikováno v:
In Journal of Monetary Economics November 2020 115:200-212
Publikováno v:
In Journal of International Economics November 2020 127
Publikováno v:
Journal of Applied Econometrics, 2016 Nov 01. 31(7), 1234-1253.
Externí odkaz:
https://www.jstor.org/stable/26609674
Publikováno v:
Economic Policy, 2009 Jan 01. 24(57), 141-184.
Externí odkaz:
https://www.jstor.org/stable/40071841
Autor:
Beck, Guenter W., Wieland, Volker
Publikováno v:
Journal of the European Economic Association, 2007 Apr 01. 5(2/3), 524-533.
Externí odkaz:
https://www.jstor.org/stable/40005055
Autor:
Beck, Guenter W., Wieland, Volker
Publikováno v:
In Journal of Monetary Economics 2008 55 Supplement:S1-S17
Autor:
Beck, Günter W., Wieland, Volker *
Publikováno v:
In Journal of Economic Dynamics and Control 2002 26(9):1359-1377
Autor:
Beck, Guenter W., Wieland, Volker
Since 2014 the ECB has implemented a massive expansion of monetary policy including large-scale asset purchases and negative policy rates. As the euro area economy has improved and inflation has risen, questions concerning the future normalization of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::8ea31ab490761b44dffb3ebae3d6d57d
https://hdl.handle.net/10419/168566
https://hdl.handle.net/10419/168566
We use a novel disaggregate sectoral euro area data set with a regional breakdown to investigate price changes and suggest a new method to extract factors from over-lapping data blocks. This allows us to separately estimate aggregate, sectoral, count
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::b1bf0af8dc4f3c4bda90a051229482be
https://www.econstor.eu/bitstream/10419/97768/1/IMFS_WP_63.pdf
https://www.econstor.eu/bitstream/10419/97768/1/IMFS_WP_63.pdf
We use a novel disaggregate sectoral euro area data set with a regional breakdown to investigate price changes and suggest a new method to extract factors from over-lapping data blocks. This allows us to separately estimate aggregate, sectoral, count
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______603::6366a14b635f20ad66386b12e952393e
http://publikationen.ub.uni-frankfurt.de/files/26876/IMFS_WP_63.pdf
http://publikationen.ub.uni-frankfurt.de/files/26876/IMFS_WP_63.pdf