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Financial integration and the construction of historical financial data for the Euro Area

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  • Anderson, Heather M.
  • Dungey, Mardi
  • Osborn, Denise R.
  • Vahid, Farshid

Abstract

Time series analysis for the Euro Area requires the availability of sufficiently long historical data series, but the appropriate construction methodology has received little attention. The benchmark dataset, developed by the European Central Bank for use in its Area Wide Model (AWM), is based on fixed-weight aggregation across countries with historically distinct monetary policies and financial markets of varying international importance. This paper proposes a new methodology for producing back-dated financial series for the Euro Area, that is based on the time-varying distance of periphery countries from core countries with respect to monetary integration. Historical decompositions of the residuals of vector autoregressive models of the Euro Area economy are then used to explore and compare the monetary policy implications of using the new methodology versus the use of AWM fixed weight series.

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Bibliographic Info

Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 28 (2011)
Issue (Month): 4 (July)
Pages: 1498-1509

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Handle: RePEc:eee:ecmode:v:28:y:2011:i:4:p:1498-1509

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Web page: http://www.elsevier.com/locate/inca/30411

Related research

Keywords: Data aggregation Euro Area Monetary integration Financial market indicators Historical decomposition;

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References

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Cited by:
  1. Ralf Brüggemann & Jing Zeng, 2012. "Forecasting Euro-Area Macroeconomic Variables Using a Factor Model Approach for Backdating," Working Paper Series of the Department of Economics, University of Konstanz 2012-15, Department of Economics, University of Konstanz.
  2. Mardi Dungey & Denise Osborn, 2009. "Modelling International Linkages for Large Open Economies: US and Euro Area," CAMA Working Papers 2009-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  3. Dungey, Mardi & Osborne, Denise, 2013. "International Transmissions to Australia: The Roles of the US and Euro Area," Working Papers 17208, University of Tasmania, School of Economics and Finance, revised 16 Oct 2013.
  4. Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2013. "Inference on Structural Breaks using Information Criteria," Manchester School, University of Manchester, vol. 81, pages 54-81, October.

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