IDEAS home Printed from https://ideas.repec.org/p/ucv/wpaper/2017-03.html

Testing the lag length of vector autoregressive models: A power comparison between portmanteau and Lagrange multiplier tests

Author

Listed:
  • Raja Ben Hajria
  • Salah Khardani
  • Hamdi Raïssi

Abstract

In this paper we provide an asymptotic theoretical power comparison in the Bahadur sense, between the portmanteau and Breusch-Godfrey Lagrange Multiplier (LM) tests for the goodness-of-fit checking of vector autoregressive (VAR) models. The merits and the drawbacks of the studied tests are illustrated using Monte Carlo experiments.

Suggested Citation

  • Raja Ben Hajria & Salah Khardani & Hamdi Raïssi, 2017. "Testing the lag length of vector autoregressive models: A power comparison between portmanteau and Lagrange multiplier tests," Working Papers 2017-03, Escuela de Negocios y Economía, Pontificia Universidad Católica de Valparaíso.
    • Handle: RePEc:ucv:wpaper:2017-03
    as

    Download full text from publisher

    File URL: http://ene.pucv.cl/wp/2017/wp2017-03.pdf
    File Function: First version, 2017
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    2. Gonzalo, Jesus & Pitarakis, Jean-Yves, 1998. "Specification via model selection in vector error correction models," Economics Letters, Elsevier, vol. 60(3), pages 321-328, September.
    3. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    4. Stock, James H. & Watson, Mark W., 1989. "Interpreting the evidence on money-income causality," Journal of Econometrics, Elsevier, vol. 40(1), pages 161-181, January.
    5. Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-1310, November.
    6. 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.
    7. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    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. Hajria, Raja Ben & Khardani, Salah & Raïssi, Hamdi, 2018. "A power comparison between autocorrelation based tests," Statistics & Probability Letters, Elsevier, vol. 143(C), pages 1-6.
    2. Mighri, Zouheir & Ragoubi, Hanen & Sarwar, Suleman & Wang, Yihan, 2022. "Quantile Granger causality between US stock market indices and precious metal prices," Resources Policy, Elsevier, vol. 76(C).
    3. Wilmar Cabrera & Javier Gutiérrez Rueda & Juan Carlos Mendoza, 2012. "Credit Risk Stress Testing: An Exercise for Colombian Banks," Temas de Estabilidad Financiera 073, Banco de la Republica de Colombia.
    4. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    5. Mezgebo, Taddese, 2009. "A multivariate approach for identification of optimal locations with in Ethiopia’s wheat market to tackle soaring inflation on food price," MPRA Paper 18663, University Library of Munich, Germany.
    6. Donald W. Hayes & Cara S. Lown, 1990. "Another look at the credit-output link," Working Papers 9001, Federal Reserve Bank of Dallas.
    7. Niklas Ahlgren & Paul Catani, 2017. "Wild bootstrap tests for autocorrelation in vector autoregressive models," Statistical Papers, Springer, vol. 58(4), pages 1189-1216, December.
    8. repec:jss:jstsof:27:i04 is not listed on IDEAS
    9. Kolo, Horst & Tzanova, Polia, 2017. "Forecasting the German forest products trade: A vector error correction model," Journal of Forest Economics, Elsevier, vol. 26(C), pages 30-45.
    10. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, August.
    11. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, December.
    12. Alper, Ahmet Murat & Civcir, İrfan, 2012. "Can overvaluation prelude to crisis and harm growth in Turkey," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 112-131.
    13. Mezgebo, Taddese, 2009. "A multivariate approach for identification of optimal locations with in Ethiopia’s wheat market to tackle soaring inflation on food price (Extended version)," MPRA Paper 17960, University Library of Munich, Germany.
    14. W. S. Navin Perera, 2018. "An Analysis of the Behaviour of Prime Lending Rates in Sri Lanka," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 5(2), pages 121-138.
    15. Biswajit Maitra, 2011. "Anticipated Money, Unanticipated Money and Output Variations in Singapore," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 118-133.
    16. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    17. Ahmed Ali & Granberg Mark & Troster Victor & Uddin Gazi Salah, 2022. "Asymmetric dynamics between uncertainty and unemployment flows in the United States," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(1), pages 155-172, February.
    18. Ali Darrat & Fatima Al-Shamsi, 2005. "On the path of integration in the Gulf region," Applied Economics, Taylor & Francis Journals, vol. 37(9), pages 1055-1062.
    19. Dahalan, Jauhari & Sharma, Subhash C. & Sylwester, Kevin, 2005. "Divisia monetary aggregates and money demand for Malaysia," Journal of Asian Economics, Elsevier, vol. 15(6), pages 1137-1153, January.
    20. Poulin, Jennifer & Duchesne, Pierre, 2008. "On the power transformation of kernel-based tests for serial correlation in vector time series: Some finite sample results and a comparison with the bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4432-4457, May.
    21. Magdalena Szyszko & Agata Kliber & Aleksandra Rutkowska & Mariusz Próchniak, 2024. "Central bank communication and expectations: Evidence for inflation‐targeting economies," Review of International Economics, Wiley Blackwell, vol. 32(3), pages 1316-1340, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

    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:ucv:wpaper:2017-03. 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: Daniel Goya (email available below). General contact details of provider: https://edirc.repec.org/data/enucvcl.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.