IDEAS home Printed from https://ideas.repec.org/p/zbw/esprep/171259.html

The CO₂ emissions in Finland, Norway and Sweden: a dynamic relationship

Author

Listed:
  • Alonso-Rodriguez, Agustin

Abstract

In this paper a dynamic relationship between the CO2 emissions in Finland, Norway and Sweden is presented. With the help of a VAR(2) model, and using the Granger terminology, it is shown that the emissions in Finland are affecting those in Norway and Sweden. Other aspects of this dynamic relationship are presented as well.

Suggested Citation

  • Alonso-Rodriguez, Agustin, 2017. "The CO₂ emissions in Finland, Norway and Sweden: a dynamic relationship," EconStor Preprints 171259, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:171259
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/171259/3/finalpaper.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin,Vance & Hurn,Stan & Harris,David, 2013. "Econometric Modelling with Time Series," Cambridge Books, Cambridge University Press, number 9780521139816, January.
    2. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    3. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2014. "Causality and contagion in EMU sovereign debt markets," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 12-27.
    2. Corradi, Valentina & Swanson, Norman R., 2004. "Some recent developments in predictive accuracy testing with nested models and (generic) nonlinear alternatives," International Journal of Forecasting, Elsevier, vol. 20(2), pages 185-199.
    3. Michaelides, Panayotis & Milios, John, 2009. "TFP change, output gap and inflation in the Russian Federation (1994-2006)," Journal of Economics and Business, Elsevier, vol. 61(4), pages 339-352, July.
    4. Francisco F. R. Ramos, 1996. "Forecasting market shares using VAR and BVAR models: A comparison of their forecasting performance," Econometrics 9601003, University Library of Munich, Germany.
    5. Roman Hušek & Tomáš Formánek, 2014. "Alternative specification, estimation and identification of vector autoregressions [Alternativní specifikace, odhad a identifikace vektorových autoregresí]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2014(4), pages 52-72.
    6. Banerjee, Aniruddha, 2003. "Does incentive regulation 'cause' degradation of retail telephone service quality?," Information Economics and Policy, Elsevier, vol. 15(2), pages 243-269, June.
    7. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2004. "On The Predictive Content Of Production Surveys: A Pan-European Study," ERIM Report Series Research in Management ERS-2004-017-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Francisco de Castro & José Manuel González-Páramo & Pablo Hernández de Cos, 2004. "Fiscal consolidation in Spain: dynamic interdependence of public spending and revenues," Investigaciones Economicas, Fundación SEPI, vol. 28(1), pages 193-207, January.
    9. Castilla, Adolfo, 2015. "Proyecto LINK y Econometría de Alta Frecuencia: Las últimas aportaciones econométricas de Lawrence R. Klein /LINK Project and High Frequency Econometrics: Recent Econometric Contributions of Lawrence ," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 33, pages 421-450, Mayo.
    10. Ostermark, Ralf & Hernesniemi, Hannu, 1995. "The impact of information timeliness on the predictability of stock and futures returns: An application of vector models," European Journal of Operational Research, Elsevier, vol. 85(1), pages 111-131, August.
    11. R. Jared DeLisle & Bong Soo Lee & Nathan Mauck, 2016. "The dynamic relation between options trading, short selling, and aggregate stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 645-671, October.
    12. Anatoli Colicev & Ashwin Malshe & Koen Pauwels, 2018. "Social Media and Customer-Based Brand Equity: An Empirical Investigation in Retail Industry," Administrative Sciences, MDPI, vol. 8(3), pages 1-16, September.
    13. Self, Sharmistha & Grabowski, Richard, 2004. "Does education at all levels cause growth? India, a case study," Economics of Education Review, Elsevier, vol. 23(1), pages 47-55, February.
    14. Delisle, R. Jared & Lee, Bong Soo & Mauck, Nathan, 2012. "The dynamic relation between short sellers, option traders, and aggregate returns," MPRA Paper 42566, University Library of Munich, Germany.
    15. Månsson, Kristofer & Shukur, Ghazi & Sjölander, Pär, 2010. "A New Ridge Regression Causality Test in the Presence of Multicollinearity," HUI Working Papers 37, HUI Research.
    16. Ahdi Noomen Ajmi & Ghassen El-montasser & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Oil prices and MENA stock markets: new evidence from nonlinear and asymmetric causalities during and after the crisis period," Applied Economics, Taylor & Francis Journals, vol. 46(18), pages 2167-2177, June.
    17. Faiza Umer & Shaista Alam, 2013. "Effect of Openness to Trade and FDI on Industrial Sector Growth: A Case Study for Pakistan," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 16(48), pages 179-198, June.
    18. Tae-Hwy Lee & Weiping Yang, 2012. "Money–Income Granger-Causality in Quantiles," Advances in Econometrics, in: 30th Anniversary Edition, pages 385-409, Emerald Group Publishing Limited.
    19. Chunjuan Luan & Siming Deng & John R. Allison, 2022. "Mutual Granger “causality” between scientific instruments and scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6209-6229, November.
    20. Magdalena Osinska, 2011. "On the Interpretation of Causality in Granger’s Sense," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 129-140.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:esprep:171259. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.