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Vector autoregressive models

In: Handbook of Research Methods and Applications in Empirical Macroeconomics

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  • Helmut Lütkepohl

Abstract

This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading.

Suggested Citation

  • Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164 Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:14327_6
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    2. Tomislav Globan, 2014. "Testing the 'trilemma' in post-transition Europe - a new empirical measure of capital mobility," Post-Communist Economies, Taylor & Francis Journals, vol. 26(4), pages 459-476, December.
    3. Fadejeva, Ludmila & Feldkircher, Martin & Reininger, Thomas, 2017. "International spillovers from Euro area and US credit and demand shocks: A focus on emerging Europe," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 1-25.
    4. Tomislav Globan, 2015. "Financial integration, push factors and volatility of capital flows: evidence from EU new member states," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 643-672, August.
    5. Stefanescu, Razvan & Dumitriu, Ramona, 2014. "Investigation on the relationship between Romanian foreign trade and industrial production," MPRA Paper 62547, University Library of Munich, Germany.
    6. Elizabeth Bucacos, 2015. "Impact of international monetary policy in Uruguay: a FAVAR approach," Documentos de trabajo 2015003, Banco Central del Uruguay.
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    8. Ludmila Fadejeva & Martin Feldkircher & Thomas Reininger, 2014. "International Transmission of Credit Shocks: Evidence from Global Vector Autoregression Model," Working Papers 2014/05, Latvijas Banka.
    9. Camilo Alberto Cárdenas-Hurtado & María Alejandra Hernández-Montes, 2019. "Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis," Borradores de Economia 1063, Banco de la Republica de Colombia.
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    11. MacDonald, Ronald & Sogiakas, Vasilios & Tsopanakis, Andreas, 2015. "An investigation of systemic stress and interdependencies within the Eurozone and Euro Area countries," Economic Modelling, Elsevier, vol. 48(C), pages 52-69.

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    Keywords

    Economics and Finance; Research Methods;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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