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Gerhard Rünstler

Research

Division

Monetary Policy Research

Current Position

Senior Lead Economist

Fields of interest

Macroeconomics and Monetary Economics,Mathematical and Quantitative Methods

Email

gerhard.ruenstler@ecb.europa.eu

Education
1990-1992

Postgraduate Studies in Econometrics, Institute for Advanced Studies, Vienna

1982-1988

PhD Social Sciences, University of Graz

1980-1986

MSc Mathematics, Technical University Graz

Professional experience
2009-2012

Austrian Institute for Economic Research, 2009-2012

1999-2003

Economist, European Central Bank, 1999-2003

2003

Principal Economist, European Central Bank, since 2003

1998-1999

Economist, Austrian National Bank, 1998-1999

1992-1998

Assistant Professor at Institute for Advanced Studies, Vienna, 1992-1998

Awards
2009

Isaac Kerstenetzky Award, CIRET conference 2009, New York

Teaching experience
2009

International Economics at University of Applied Sciences Vienna 2009

1995-1998

Econometrics I at Institute for Advanced Studies 1995-1998

1996-1998

Tutorials in time series analysis at Vienna Business School 1996-1998

15 June 2020
6 January 2020
9 January 2018
16 May 2017
31 August 2016
7 June 2016
20 April 2016
3 March 2016
28 October 2008
28 October 2008
8 May 2008
23 May 2007
1 September 2003
1 September 2002
2018
Journal of Applied Econometrics 33(2), 212-226
Business, housing, and credit cycles
  • G. Rünstler and M. Vlekke
2016
Journal of Computational Economics and Econometrics 6(3), 294-314
Network dependence in the euro area money market
  • G Rünstler
2016
Hillebrand and Koopman, Advances in Econometrics, Vol 35, Emerald Publishing
On the design of data set for forecasting with dynamic factor models
  • G. Rünstler
2011
Econometrics Journal 14(1), C25-C44.
Short-term forecasts of euro area GDP growth
  • Angelini
  • E.
  • G. Camba-Mendez
  • D. Giannone
  • L. Reichlin
  • G. Rünstler
2011
International Journal of Forecasting 27(2), 333-46.
A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP
  • M. Banbura and G. Rünstler
2010
Journal of Business Cycle Measurement and Analysis 2010(1), 5-26
Estimating and forecasting the euro area national accounts from a dynamic factor model
  • E. Angelini
  • M. Banbura
  • G. Rünstler
2010
Journal of Forecasting 28(7), 595-611
Short-term forecasting of GDP using large data sets: a pseudo real-time forecast evaluation exercise
  • G. Rünstler et al.
2004
Econometrics Journal 7, 232-48.
Modelling phase shifts among stochastic cycles
  • G. Rünstler
2000
Applied Economics Letters 7(1), 25-28
The dynamic effects of aggregate supply and demand disturbances: further evidence
  • H. Hofer
  • G. Rünstler
  • T. Url
1999
Applied Financial Economics 9, 101-108
Interest rate differentials, market integration, and the efficiency of commodity futures markets
  • A. Jumah
  • S. Karbuz
  • G. Rünstler
2016
Advances in Econometrics Vol 25
On the design of data set for forecasting with dynamic factor models
  • Ruenstler
  • G.