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The GVAR Handbook: Structure and Applications of a Macro Model of the Global Economy for Policy Analysis

Editor

Listed:
  • di Mauro, Filippo
    (Senior Adviser, European Central Bank)

  • Pesaran, M. Hashem
    (Professor of Economics, University of Cambridge; John Elliott Chair, University of Southern California; and a Professorial Fellow of Trinity College, Cambridge)

Abstract

The GVAR is a global Vector autoregression model of the global economy. The model was initially developed in the early 2000 by Professor Pesaran and co-authors, for the main purpose of analysing credit risk in a globalised economy. Starting from mid-2000 the model was substantially enlarged in the context of a project financed by the ECB, to comprise all major economies and the Euro area as a whole. The purpose of this version was to exploit the rich modelisation of international linkages in order to simulate and analyse global macro scenarios of high policy interest. The rich, yet manageable, specification of international linkages has stimulated a vast literature on the GVAR. Since early 2011, the basic model - and its data base - has also available on a dedicated GVAR-Toolbox website with an easy-to-use interface allowing practical applications by an extended audience, as well as more complex analysis by the expert public. The book provides an overview of the extensions and applications of the GVAR which have been developed in recent years. Such applications are grouped in three main categories: 1) International transmission and forecasting; 2) Finance applications; and 3) Regional applications. By using a language which is accessible to not econometricians, the book reaches out to the extended audience of practitioners and policy makers interested in understanding channels and impacts of international linkages. Contributors to this volume - Alexander Al-Haschimi, European Central Bank Katrin Assenmacher, Swiss National Bank Ambrogio Cesa-Bianchi, Inter-American Development Bank Stephane Dees, European Central Bank Sandra Eickmeier, Deutsche Bundesbank Carlo A. Favero, Bocconi University David Fielding, University of Otago Alessandro Galesi, European Central Bank Anthony Garratt, Birkbeck College, London Matthew Greenwood-Nimmo, University of Leeds Kevin Lee, University of Nottingham Marco J. Lombardi, European Central Bank Silvia Lui, National Institute of Economic and Social Research Filippo di Mauro, European Central Bank James Mitchell, University of Leicester Tim Ng, Reserve Bank of New Zealand, Viet Hoang Nguyen, Melbourne Institute of Applied Economic and Social Research C. Nickel, European Central Bank M. Hashem Pesaran, University of Southern California and Trinity College, Cambridge Alessandro Rebucci, Inter-American Development Bank Silvia Sgherri, International Monetary Fund Kalvinder Shields, University of Melbourne Yongcheol Shin, University of York L. Vanessa Smith, University of Cambridge Ron P. Smith, Birkbeck College, London I. Vansteenkist, European Central Bank TengTeng Xu, Bank of Canada

Suggested Citation

  • di Mauro, Filippo & Pesaran, M. Hashem (ed.), 2013. "The GVAR Handbook: Structure and Applications of a Macro Model of the Global Economy for Policy Analysis," OUP Catalogue, Oxford University Press, number 9780199670086.
  • Handle: RePEc:oxp:obooks:9780199670086
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    Citations

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    Cited by:

    1. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    2. Cesa-Bianchi, Ambrogio & Pesaran, M. Hashem & Rebucci, Alessandro, 2014. "Uncertainty and Economic Activity: A Global Perspective," IDB Publications (Working Papers) 6605, Inter-American Development Bank.
    3. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    4. repec:onb:oenbfi:y:2018:i:q2-18:b:2 is not listed on IDEAS
    5. Melisso Boschi & Massimiliano Marzo & Simone Salotti, 2015. "Domestic versus international determinants of European business cycles: a GVAR approach," Empirical Economics, Springer, vol. 49(2), pages 403-421, September.
    6. Pedro Bação & António Portugal Duarte & Diana Machado, 2016. "Exchange Rates, the Competitiveness of Nations and Unemployment," GEMF Working Papers 2016-14, GEMF, Faculty of Economics, University of Coimbra.
    7. Filippo di Mauro & Alexander Al-Haschimi & Stephane Dees & Martina Jancokova, 2014. "Linking Distress of Financial Institutions to Macrofinancial Shocks," EcoMod2014 6807, EcoMod.
    8. Bertrand Gruss, 2014. "After the Boom–Commodity Prices and Economic Growth in Latin America and the Caribbean," IMF Working Papers 14/154, International Monetary Fund.
    9. Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
    10. Mariarosaria Comunale, 2017. "A panel VAR analysis of macro-financial imbalances in the EU," Bank of Lithuania Working Paper Series 40, Bank of Lithuania.
    11. Andrew Filardo & Pierre Siklos, 2018. "The cross-border credit channel and lending standards surveys," BIS Working Papers 723, Bank for International Settlements.
    12. Britta Niehof, 2014. "Spillover Effects in Government Bond Spreads: Evidence from a GVAR Model," MAGKS Papers on Economics 201458, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    13. Barbosa, Bruno Tebaldi de Queiroz & Marçal, Emerson Fernandes, 2018. "Modeling how macroeconomic shocks a ect regional employment: analyzing the Brazilian formal labor market using the global VAR approach," Textos para discussão 468, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

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