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Christian Schumacher

Personal Details

First Name:Christian
Middle Name:
Last Name:Schumacher
Suffix:
RePEc Short-ID:psc237
http://www.bundesbank.de/research_christian_schumacher

Affiliation

Deutsche Bundesbank

Frankfurt, Germany
http://www.bundesbank.de/

: 0 69 / 95 66 - 0
0 69 / 95 66 30 77
Postfach 10 06 02, 60006 Frankfurt
RePEc:edi:dbbgvde (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Schumacher, Christian, 2014. "MIDAS and bridge equations," Discussion Papers 26/2014, Deutsche Bundesbank.
  2. Schumacher, Christian, 2014. "MIDAS regressions with time-varying parameters: An application to corporate bond spreads and GDP in the Euro area," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100289, Verein für Socialpolitik / German Economic Association.
  3. Sylvia Kaufmann & Christian Schumacher, 2013. "Bayesian estimation of sparse dynamic factor models with order-independent identification," Working Papers 13.04, Swiss National Bank, Study Center Gerzensee.
  4. Kaufmann, Sylvia & Schumacher, Christian, 2012. "Finding relevant variables in sparse Bayesian factor models: Economic applications and simulation results," Discussion Papers 29/2012, Deutsche Bundesbank.
  5. Foroni, Claudia & Marcellino, Massimiliano & Schumacher, Christian, 2011. "U-MIDAS: MIDAS regressions with unrestricted lag polynomials," Discussion Paper Series 1: Economic Studies 2011,35, Deutsche Bundesbank.
  6. Kuzin, Vladimir & Marcellino, Massimiliano & Schumacher, Christian, 2009. "Pooling versus model selection for nowcasting with many predictors: An application to German GDP," CEPR Discussion Papers 7197, C.E.P.R. Discussion Papers.
  7. Schumacher, Christian, 2009. "Factor forecasting using international targeted predictors: the case of German GDP," Discussion Paper Series 1: Economic Studies 2009,10, Deutsche Bundesbank.
  8. Kuzin, Vladimir N. & Marcellino, Massimiliano & Schumacher, Christian, 2009. "MIDAS versus mixed-frequency VAR: nowcasting GDP in the euro area," Discussion Paper Series 1: Economic Studies 2009,07, Deutsche Bundesbank.
  9. Vladimir Kuzin & Massimiliano Marcellino & Christian Schumacher, 2009. "MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the Euro Area," Economics Working Papers ECO2009/32, European University Institute.
  10. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP," Economics Working Papers ECO2008/16, European University Institute.
  11. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP1," Working Papers 333, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  12. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
  13. Schumacher, Christian & Breitung, Jörg, 2006. "Real-time forecasting of GDP based on a large factor model with monthly and quarterly data," Discussion Paper Series 1: Economic Studies 2006,33, Deutsche Bundesbank.
  14. Schumacher, Christian, 2005. "Forecasting German GDP using alternative factor models based on large datasets," Discussion Paper Series 1: Economic Studies 2005,24, Deutsche Bundesbank.
  15. Dreger, Christian & Schumacher, Christian, 2002. "Estimating large-scale factor models for economic activity in Germany : do they outperform simpler models?," HWWA Discussion Papers 199, Hamburg Institute of International Economics (HWWA).
  16. Schumacher, Christian, 2000. "Forecasting trend output in the Euro area," HWWA Discussion Papers 109, Hamburg Institute of International Economics (HWWA).

Articles

  1. Sylvia Kaufmann & Christian Schumacher, 2017. "Identifying relevant and irrelevant variables in sparse factor models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1123-1144, September.
  2. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
  3. Claudia Foroni & Massimiliano Marcellino & Christian Schumacher, 2015. "Unrestricted mixed data sampling (MIDAS): MIDAS regressions with unrestricted lag polynomials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 57-82, January.
  4. Vladimir Kuzin & Massimiliano Marcellino & Christian Schumacher, 2013. "Pooling Versus Model Selection For Nowcasting Gdp With Many Predictors: Empirical Evidence For Six Industrialized Countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(3), pages 392-411, April.
  5. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
  6. Kuzin, Vladimir & Marcellino, Massimiliano & Schumacher, Christian, 2011. "MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the euro area," International Journal of Forecasting, Elsevier, vol. 27(2), pages 529-542, April.
  7. Massimiliano Marcellino & Christian Schumacher, 2010. "Factor MIDAS for Nowcasting and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 518-550, August.
  8. Schumacher, Christian, 2010. "Factor forecasting using international targeted predictors: The case of German GDP," Economics Letters, Elsevier, vol. 107(2), pages 95-98, May.
  9. Christian Schumacher, 2008. "Measuring uncertainty of the euro area NAIRU: Monte Carlo and empirical evidence for alternative confidence intervals in a state space framework," Empirical Economics, Springer, vol. 34(2), pages 357-379, March.
  10. Schumacher, Christian & Breitung, Jörg, 2008. "Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data," International Journal of Forecasting, Elsevier, vol. 24(3), pages 386-398.
  11. Christian Schumacher, 2007. "Forecasting German GDP using alternative factor models based on large datasets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 271-302.
  12. Christian Dreger & Christian Schumacher, 2005. "Out-of-sample Performance of Leading Indicators for the German Business Cycle: Single vs. Combined Forecasts," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(1), pages 71-87.
  13. Schumacher Christian & Dreger Christian, 2004. "Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models? / Die Schätzung von großen Faktormodellen für die deutsche Volkswirtschaft: Übertreffen sie ei," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 731-750, December.
  14. Christian Dreger & Christian Schumacher, 2003. "Are Real Interest Rates Cointegrated? Further evidence based on paneleconometric methods," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(I), pages 41-53, March.
  15. Schumacher, Christian, 2002. "Forecasting Trend Output in the Euro Area," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(8), pages 543-558, December.
  16. Christian Schumacher, 2001. "Trend and Cycle in the Euro-Area: A Permanent-Transitory Decomposition Using a Cointegrated VAR Model," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 352-363.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 18 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (14) 2006-08-05 2006-11-18 2007-06-02 2008-02-16 2008-04-12 2009-02-28 2009-06-10 2009-06-10 2009-06-10 2009-11-27 2012-02-27 2012-12-22 2013-04-13 2015-02-22. Author is listed
  2. NEP-FOR: Forecasting (13) 2006-08-05 2006-11-18 2007-06-02 2008-03-15 2008-04-12 2009-02-28 2009-03-07 2009-06-10 2009-06-10 2009-06-10 2009-09-26 2009-11-27 2012-02-27. Author is listed
  3. NEP-MAC: Macroeconomics (12) 2006-08-05 2006-11-18 2007-06-02 2008-02-16 2008-03-15 2008-04-12 2009-02-28 2009-03-07 2009-09-26 2012-02-27 2015-01-09 2015-02-22. Author is listed
  4. NEP-ETS: Econometric Time Series (10) 2006-08-05 2006-11-18 2008-02-16 2009-02-28 2009-06-10 2009-06-10 2009-09-26 2009-11-27 2012-02-27 2012-03-28. Author is listed
  5. NEP-CBA: Central Banking (8) 2006-11-18 2007-06-02 2009-02-28 2009-03-07 2009-06-10 2009-06-10 2009-09-26 2009-11-27. Author is listed
  6. NEP-EEC: European Economics (7) 2007-06-02 2009-06-10 2009-06-10 2009-09-26 2009-11-27 2015-01-09 2015-02-22. Author is listed
  7. NEP-MON: Monetary Economics (1) 2007-06-02

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