IDEAS home Printed from https://ideas.repec.org/p/bcr/wpaper/201568.html
   My bibliography  Save this paper

Panel Time Series. Review of the Methodological Evolution

Author

Listed:
  • Tamara Burdisso

    (Central Bank of Argentina)

  • Máximo Sangiácomo

    (Central Bank of Argentina)

Abstract

The document focuses on the econometric treatment of macro panels, known in literature as panel time series. This new approach rejects the assumption of slopes’ homogeneity and handles nonstationarity. It also recognizes that the presence of crosssection dependence (CSD), i.e. some correlation structure in the error term between units due to the presence of unobservable common factors, squanders efficiency gains by operating with a panel. This led to a new set of estimators known in literature as Common Correlated Effect (CCE), which essentially consists of increasing the model to be estimated by adding the averages of the individuals in each time t, of both the dependent variable and the specific regressors of each individual. Finally, two Stata codes developed for the evaluation and treatment of the cross-section dependence are presented.

Suggested Citation

  • Tamara Burdisso & Máximo Sangiácomo, 2015. "Panel Time Series. Review of the Methodological Evolution," BCRA Working Paper Series 201568, Central Bank of Argentina, Economic Research Department.
    • Handle: RePEc:bcr:wpaper:201568
    as

    Download full text from publisher

    File URL: http://www.bcra.gov.ar/Pdfs/Investigaciones/WP_68_2015e.pdf
    File Function: Versión en Español
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gregori, Tullio & Tiwari, Aviral Kumar, 2020. "Do urbanization, income, and trade affect electricity consumption across Chinese provinces?," Energy Economics, Elsevier, vol. 89(C).
    2. Hongchao Zhang & Jordan W. Smith, 2018. "Weather and Air Quality Drive the Winter Use of Utah’s Big and Little Cottonwood Canyons," Sustainability, MDPI, vol. 10(10), pages 1-12, October.
    3. Antonietti, Roberto & Franco, Chiara, 2021. "From FDI to economic complexity: a panel Granger causality analysis," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 225-239.
    4. Igor Petruška & Eva Litavcová & Jana Chovancová, 2022. "Impact of Renewable Energy Sources and Nuclear Energy on CO 2 Emissions Reductions—The Case of the EU Countries," Energies, MDPI, vol. 15(24), pages 1-23, December.
    5. Antonietti, Roberto & Mondolo, Jasmine, 2023. "Inward FDI and the quality of domestic institutions: A cross-country panel VAR analysis," Economic Systems, Elsevier, vol. 47(3).
    6. Bataka, Hodabalo, 2021. "Globalization and Environmental Pollution in Sub-Saharan Africa," African Journal of Economic Review, African Journal of Economic Review, vol. 9(1), January.
    7. Sami Khedhiri, 2023. "The impact of COVID‐19 on agricultural market integration in Eastern Canada," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(2), pages 371-386, April.
    8. Khorana, Sangeeta & Caram, Santiago & Biagetti, Marco, 2021. "Vicious Circle or New Paradigm? Exploring the Impact of Shadow Economy on Labour Market in Latin America and Eurozone," GLO Discussion Paper Series 983, Global Labor Organization (GLO).
    9. Cong Khai Dinh & Quang Thanh Ngo & Trung Thanh Nguyen, 2021. "Medium- and High-Tech Export and Renewable Energy Consumption: Non-Linear Evidence from the ASEAN Countries," Energies, MDPI, vol. 14(15), pages 1-16, July.
    10. P. S. Morawakage & G. Earl & B. Liu & E. Roca & A. Omura, 2023. "Housing Risk and Returns in Submarkets with Spatial Dependence and Heterogeneity," The Journal of Real Estate Finance and Economics, Springer, vol. 67(4), pages 695-734, November.
    11. Tullio Gregori & Marco Giansoldati, 2023. "Do current and capital account liberalizations affect economic growth in the long run?," Empirical Economics, Springer, vol. 65(1), pages 247-273, July.
    12. Uçak Harun & Çelik Saliha & Kurt Hakan, 2023. "Land Resources and Agricultural Exports Nexus," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 284-300, June.
    13. Santiago José Gahn & Alejandro González, 2022. "On the empirical content of the convergence debate: Cross‐country evidence on growth and capacity utilisation," Metroeconomica, Wiley Blackwell, vol. 73(3), pages 825-855, July.
    14. Tutun Mukherjee & Som Sankar Sen, 2022. "Impact of CEO attributes on corporate reputation, financial performance, and corporate sustainable growth: evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-50, December.
    15. Bialowolski, Piotr & Weziak-Bialowolska, Dorota & McNeely, Eileen, 2021. "A socially responsible financial institution – The bumpy road to improving consumer well-being," Evaluation and Program Planning, Elsevier, vol. 86(C).

    More about this item

    Keywords

    panel time series; nostationarity; panel unit root; mean group estimator; cross-section dependence; common correlated effect;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    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:bcr:wpaper:201568. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Federico Grillo (email available below). General contact details of provider: https://edirc.repec.org/data/bcraaar.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.