Magnus Reif : Citation Profile

Are you Magnus Reif?

CESifo (1% share)
Deutsche Bundesbank (98% share)
ifo Institut - Leibniz-Institut für Wirtschaftsforschung an der Universität München e.V. (1% share)

8

H index

6

i10 index

180

Citations

RESEARCH PRODUCTION:

23

Articles

16

Papers

1

Books

RESEARCH ACTIVITY:

   9 years (2015 - 2024). See details.
   Cites by year: 20
   Journals where Magnus Reif has often published
   Relations with other researchers
   Recent citing documents: 17.    Total self citations: 14 (7.22 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pre458
   Updated: 2024-11-08    RAS profile: 2024-10-09    
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Relations with other researchers

Works with:

Lehmann, Robert (11)

Wollmershäuser, Timo (11)

Link, Sebastian (10)

Wolters, Maik (10)

Göttert, Marcell (10)

Lautenbacher, Stefan (10)

Wohlrabe, Klaus (7)

Grimme, Christian (5)

Sauer, Stefan (5)

Peichl, Andreas (5)

Dorn, Florian (5)

Fuest, Clemens (5)

Šauer, Radek (4)

Carstensen, Kai (4)

Wolf, Anna (4)

Stöckli, Marc (3)

Güntner, Jochen (3)

Tesfaselassie, Mewael F. (3)

Nierhaus, Wolfgang (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Magnus Reif.

Is cited by:

Lehmann, Robert (19)

Wohlrabe, Klaus (17)

Fuest, Clemens (12)

Wollmershäuser, Timo (12)

Nierhaus, Wolfgang (11)

Brandt, Przemyslaw (11)

Grimme, Christian (10)

Sauer, Stefan (10)

Dorn, Florian (7)

Peichl, Andreas (7)

Link, Sebastian (7)

Cites to:

Wohlrabe, Klaus (39)

Lehmann, Robert (39)

Nierhaus, Wolfgang (37)

Wollmershäuser, Timo (30)

Grimme, Christian (28)

Carstensen, Kai (26)

Marcellino, Massimiliano (21)

Wolters, Maik (21)

Abberger, Klaus (20)

Perez Quiros, Gabriel (18)

Henzel, Steffen (17)

Main data

Where Magnus Reif has published?

Journals with more than one article published# docs
ifo Schnelldienst16
ifo Schnelldienst Digital3

Working Papers Series with more than one paper published# docs
CESifo Working Paper Series / CESifo6
IMFS Working Paper Series / Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS)2
EconPol Policy Brief / ifo Institute - Leibniz Institute for Economic Research at the University of Munich2

Recent works citing Magnus Reif (2024 and 2023)

YearTitle of citing document
2023Estimation of the TFP Gap for the Largest Five EMU Countries. (2023). Rossian, Thies ; Kiessner, Felix ; Carstensen, Kai. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10245.

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2023Quarterly GDP Estimates for the German States: New Data for Business Cycle Analyses and Long-Run Dynamics. (2023). Lehmann, Robert ; Wikman, Ida. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10280.

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2023Costly, but (Relatively) Ineffective? An Assessment of Germany’s Temporary VAT Rate Reduction during the Covid-19 Pandemic. (2023). Neuenkirch, Matthias ; Baudisch, Victoria. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10417.

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2023Firm Expectations and News: Micro v Macro. (2023). Müller, Gernot ; Menkhoff, Manuel ; Enders, Zeno ; Niemann, Knut ; Muller, Gernot J ; Born, Benjamin. In: ifo Working Paper Series. RePEc:ces:ifowps:_400.

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2024Enhancing the accuracy of Chinas electricity consumption forecasting through economic cycle division: An MSAR-OPLS scenario analysis. (2024). Pan, Xianyou ; Sun, Feihu ; Shu, Yalin ; Xie, Pinjie. In: Energy. RePEc:eee:energy:v:293:y:2024:i:c:s0360544224003906.

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2024Accelerating peak dating in a dynamic factor Markov-switching model. (2024). van Dijk, Dick ; van Os, Bram. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:1:p:313-323.

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2023Does expert information affect citizens’ attitudes toward Corona policies? Evidence from Germany. (2023). Peichl, Andreas ; Fuest, Clemens ; Neumeier, Florian ; Immel, Lea. In: European Journal of Political Economy. RePEc:eee:poleco:v:78:y:2023:i:c:s0176268022001537.

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2023Beyond the Business Climate: Supplementary Questions in the ifo Business Survey. (2023). Sauer, Stefan ; Demmelhuber, Katrin ; Klaus, Wohlrabe ; Stefan, Sauer ; Katrin, Demmelhuber. In: Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik). RePEc:jns:jbstat:v:243:y:2023:i:2:p:169-182:n:2.

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2023The Circular Relationship Between Productivity and Hours Worked: A Long-Term Analysis. (2023). Cette, Gilbert ; Drapala, Simon ; Lopez, Jimmy. In: Comparative Economic Studies. RePEc:pal:compes:v:65:y:2023:i:4:d:10.1057_s41294-023-00224-8.

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2023Long memory and regime switching in the stochastic volatility modelling. (2023). Shi, Yanlin. In: Annals of Operations Research. RePEc:spr:annopr:v:320:y:2023:i:2:d:10.1007_s10479-020-03841-z.

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2023The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies. (2023). Peichl, Andreas ; Dorn, Florian ; Wollmershauser, Timo ; Vanella, Patrizio ; Lautenbacher, Stefan ; Lange, Berit ; Mitra, Tanmay ; Binder, Sebastian C ; Stoeckli, Marc ; Khailaie, Sahamoddin ; Meyer-Hermann, Michael ; Fuest, Clemens. In: The European Journal of Health Economics. RePEc:spr:eujhec:v:24:y:2023:i:1:d:10.1007_s10198-022-01452-y.

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The Forecasting Power of the ifo Business Survey. (2023). Lehmann, Robert. In: Journal of Business Cycle Research. RePEc:spr:jbuscr:v:19:y:2023:i:1:d:10.1007_s41549-022-00079-5.

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2023Costly, but (Relatively) Ineffective? An Assessment of Germany’s Temporary VAT Rate Reduction During the Covid-19 Pandemic. (2023). Neuenkirch, Matthias ; Baudisch, Victoria. In: Research Papers in Economics. RePEc:trr:wpaper:202304.

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2023Nowcasting the state of the Italian economy: The role of financial markets. (2023). Silvestrini, Andrea ; Ceci, Donato. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1569-1593.

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2024Forecasting economic activity using a neural network in uncertain times: Monte Carlo evidence and application to the German GDP. (2024). Holtemöller, Oliver ; Kozyrev, Boris ; Holtemoller, Oliver. In: IWH Discussion Papers. RePEc:zbw:iwhdps:287749.

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2023Firm expectations and news: Micro v macro. (2023). Enders, Zeno ; Niemann, Knut ; Muller, Gernot J ; Menkhoff, Manuel ; Born, Benjamin. In: Working Papers. RePEc:zbw:pp1859:43.

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Works by Magnus Reif:

YearTitleTypeCited
2021Technological Growth and Hours in the Long Run: Theory and Evidence In: Economica.
[Full Text][Citation analysis]		article2
2021Technological Growth and Hours in the Long Run: Theory and Evidence.(2021) In: CESifo Working Paper Series.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 2		paper
2021Technological growth and hours in the long run: Theory and evidence.(2021) In: IMFS Working Paper Series.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 2		paper
2021Macroeconomic uncertainty and forecasting macroeconomic aggregates In: Studies in Nonlinear Dynamics & Econometrics.
[Full Text][Citation analysis]		article4
2018Macroeconomic Uncertainty and Forecasting Macroeconomic Aggregates.(2018) In: ifo Working Paper Series.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 4		paper
2024Sudden Stop: Supply and Demand Shocks in the German Natural Gas Market In: CESifo Working Paper Series.
[Full Text][Citation analysis]		paper0
2024Sudden stop: Supply and demand shocks in the German natural gas market.(2024) In: Discussion Papers.
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This paper has nother version. Agregated cites: 0		paper
2024Sudden stop: Supply and demand shocks in the German natural gas market.(2024) In: IMFS Working Paper Series.
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This paper has nother version. Agregated cites: 0		paper
2017Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle In: CESifo Working Paper Series.
[Full Text][Citation analysis]		paper39
2020Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model.(2020) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 39		article
2019Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model.(2019) In: Jena Economics Research Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 39		paper
2020Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle.(2020) In: Munich Reprints in Economics.
[Citation analysis]
This paper has nother version. Agregated cites: 39		paper
2017Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle.(2017) In: VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 39		paper
2020Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters In: CESifo Working Paper Series.
[Full Text][Citation analysis]		paper1
2020Tracking and Predicting the German Economy: ifo vs. PMI In: CESifo Working Paper Series.
[Full Text][Citation analysis]		paper8
2021Predicting the German Economy: Headline Survey Indices Under Test.(2021) In: Journal of Business Cycle Research.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 8		article
2021Time-Varying Dynamics of the German Business Cycle: A Comprehensive Investigation In: CESifo Working Paper Series.
[Full Text][Citation analysis]		paper1
2020The Economic Costs of the Coronavirus Shutdown for Germany: A Scenario Calculation In: EconPol Policy Brief.
[Full Text][Citation analysis]		paper5
2020The Economic Costs of the Coronavirus Shutdown for Selected European Countries: A Scenario Calculation In: EconPol Policy Brief.
[Full Text][Citation analysis]		paper18
2020Macroeconomics, Nonlinearities, and the Business Cycle In: ifo Beiträge zur Wirtschaftsforschung.
[Full Text][Citation analysis]		book0
2020Die volkswirtschaftlichen Kosten des Corona-Shutdown für Bayern: Eine Szenarienrechnung In: ifo Schnelldienst Digital.
[Full Text][Citation analysis]		article1
2020Die volkswirtschaftlichen Kosten des Corona-Shutdown für ausgewählte europäische Länder: Eine Szenarienrechnung In: ifo Schnelldienst Digital.
[Full Text][Citation analysis]		article0
2021ifo Konjunkturprognose Frühjahr 2021: Deutsche Wirtschaft taumelt in die dritte Coronawelle In: ifo Schnelldienst Digital.
[Full Text][Citation analysis]		article7
2015ifo Konjunkturprognose 2015/2017: Verhaltener Aufschwung setzt sich fort In: ifo Schnelldienst.
[Full Text][Citation analysis]		article1
2016ifo Konjunkturprognose 2016/2017: Aufschwung in Deutschland geht in die zweite Halbzeit In: ifo Schnelldienst.
[Full Text][Citation analysis]		article2
2016Die Auswirkungen des britischen Votums für einen Brexit auf die deutsche Konjunktur 2016/17 In: ifo Schnelldienst.
[Full Text][Citation analysis]		article0
2016Eine Flash-Schätzung für die privaten Konsumausgaben in Deutschland In: ifo Schnelldienst.
[Full Text][Citation analysis]		article6
2016ifo Konjunkturprognose 2016–2018: Robuste deutsche Konjunktur vor einem Jahr ungewisser internationaler Wirtschaftspolitik In: ifo Schnelldienst.
[Full Text][Citation analysis]		article1
2017ifo Konjunkturprognose 2017/2018: Deutsche Wirtschaft stark und stabil In: ifo Schnelldienst.
[Full Text][Citation analysis]		article11
2017ifo Konjunkturprognose 2017–2019: Deutsche Wirtschaft auf dem Weg in die Hochkonjunktur In: ifo Schnelldienst.
[Full Text][Citation analysis]		article3
2018ifo Konjunkturprognose Sommer 2018: Gewitterwolken am deutschen Konjunkturhimmel In: ifo Schnelldienst.
[Full Text][Citation analysis]		article4
2018ifo Konjunkturprognose Winter 2018: Deutsche Konjunktur kühlt sich ab In: ifo Schnelldienst.
[Full Text][Citation analysis]		article9
2019Rezessionsrisiko der deutschen Wirtschaft deutlich erhöht In: ifo Schnelldienst.
[Full Text][Citation analysis]		article0
2019ifo Konjunkturprognose Sommer 2019: Deutsche Konjunktur ohne Schwung In: ifo Schnelldienst.
[Full Text][Citation analysis]		article1
2019ifo Konjunkturprognose Winter 2019: Deutsche Konjunktur stabilisiert sich In: ifo Schnelldienst.
[Full Text][Citation analysis]		article8
2020Die volkswirtschaftlichen Kosten des Corona-Shutdown für Deutschland: Eine Szenarienrechnung In: ifo Schnelldienst.
[Full Text][Citation analysis]		article22
2020ifoCAST: Der neue Prognosestandard des ifo Instituts In: ifo Schnelldienst.
[Full Text][Citation analysis]		article1
2020ifo Konjunkturprognose Winter 2020: Das Coronavirus schlägt zurück – erneuter Shutdown bremst Konjunktur ein zweites Mal aus In: ifo Schnelldienst.
[Full Text][Citation analysis]		article10
2020ifo Konjunkturprognose Sommer 2020: Deutsche Wirtschaft – es geht wieder aufwärts In: ifo Schnelldienst.
[Full Text][Citation analysis]		article15
In: .
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