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Applied Time Series Econometrics

Editor

Listed:
  • Lütkepohl,Helmut
  • Krätzig,Markus

Abstract

Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.

Suggested Citation

  • Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521839198, July - De.
  • Handle: RePEc:cup:cbooks:9780521839198
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    Citations

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    Cited by:

    1. Carsten Trenkler & Pentti Saikkonen & Helmut Lütkepohl, 2008. "Testing for the Cointegrating Rank of a VAR Process with Level Shift and Trend Break," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(2), pages 331-358, March.
    2. Marcos Sanso-Navarro, 2011. "Broken trend stationarity of hours worked," Post-Print hal-00712742, HAL.
    3. Fullerton, Thomas M. Jr & Walke, Adam G., 2012. "Border Zone Mass Transit Demand in Brownsville and Laredo," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(2), pages 1-18.
    4. López Cabrera, Brenda & Schulz, Franziska, 2016. "Volatility linkages between energy and agricultural commodity prices," Energy Economics, Elsevier, vol. 54(C), pages 190-203.
    5. Piroli, Giuseppe & Rajcaniova, Miroslava & Ciaian, Pavel & Kancs, d׳Artis, 2015. "From a rise in B to a fall in C? SVAR analysis of environmental impact of biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 921-930.
    6. Kim, Man-Keun & Tejeda, Hernan & Yu, T. Edward, 2016. "Dynamic and Spatial Relationships in US Rice Markets," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229784, Southern Agricultural Economics Association.
    7. Śmiech, Sławomir & Papież, Monika & Dąbrowski, Marek A., 2015. "Does the euro area macroeconomy affect global commodity prices? Evidence from a SVAR approach," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 485-503.
    8. Manuel Leon Navarro & Rafael Flores de Frutos, 2011. "Consumption and Housing Wealth Breakdown of the Effect of a Rise in Interest Rates," Post-Print hal-00687732, HAL.
    9. León Navarro, Manuel & Flores de Frutos, Rafael, 2015. "Residential versus financial wealth effects on consumption from a shock in interest rates," Economic Modelling, Elsevier, vol. 49(C), pages 81-90.
    10. Mehdi Abid & Rafaa Mraihi, 2015. "Disaggregate Energy Consumption Versus Economic Growth in Tunisia: Cointegration and Structural Break Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(4), pages 1104-1122, December.
    11. Sergej Gricar & Stefan Bojnec & Vesna Karadzic & Svetlana Rakocevic, 2016. "Comparative Analysis of Tourism-Led Growth in Slovenia and Montenegro," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 14(1 (Spring), pages 75-92.
    12. Alonso-Rodriguez, Agustin, 2015. "Wind electricity production in Germany and Spain: a dynamic relationship," EconStor Research Reports 121936, ZBW - Leibniz Information Centre for Economics.
    13. Rey, Serge, 2009. "L’apport du NATREX à la modélisation des taux de change d’équilibre : théorie et application au dollar canadien," L'Actualité Economique, Société Canadienne de Science Economique, vol. 85(2), pages 131-181, juin.
    14. repec:vul:omefvu:v:9:y:2018:i:2:id:251 is not listed on IDEAS
    15. Jenny Koerner, 2015. "Monetary Transmission in the Czech Republic after the Transformation," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 1(3), pages 19-47.
    16. Markus Krätzig, 2005. "A Software Framework for Data Based Analysis," SFB 649 Discussion Papers SFB649DP2005-044, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    17. Helmut Lütkepohl, 2013. "Reducing confidence bands for simulated impulse responses," Statistical Papers, Springer, vol. 54(4), pages 1131-1145, November.
    18. repec:sgh:gosnar:y:2018:i:1:p:103-135 is not listed on IDEAS
    19. Krogscheepers, Corris & Gossel, Sean Joss, 2015. "Input cost and international demand effects on the production of platinum group metals in South Africa," Resources Policy, Elsevier, vol. 45(C), pages 193-201.
    20. repec:psc:journl:v:10:y:2018:i:3:p:263-304 is not listed on IDEAS
    21. Bunn, Derek W. & Fezzi, Carlo, 2007. "Interaction of European Carbon Trading and Energy Prices," Climate Change Modelling and Policy Working Papers 9092, Fondazione Eni Enrico Mattei (FEEM).
    22. Hertrich, Markus, 2015. "Does Credit Risk Impact Liquidity Risk? Evidence from Credit Default Swap Markets," MPRA Paper 67837, University Library of Munich, Germany.
    23. Silva Lopes, Artur C. & Florin Zsurkis, Gabriel, 2015. "Revisiting non-linearities in business cycles around the world," MPRA Paper 65668, University Library of Munich, Germany.
    24. Bruggemann, Ralf & Lutkepohl, Helmut & Saikkonen, Pentti, 2006. "Residual autocorrelation testing for vector error correction models," Journal of Econometrics, Elsevier, vol. 134(2), pages 579-604, October.

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