IDEAS home Printed from https://ideas.repec.org/p/vic/vicewp/9913.html
   My bibliography  Save this paper

Is Adaptive Estimation Useful for Panel Models With Heteroskedasticity in the Unit-Specific Error Component? Some Monte Carlo Evidence

Author

Listed:
  • Nilanjana Roy

Abstract

This paper first derives an adaptive estimator when heteroskedasticity is present in the unit-specific error in an error component model and then compares the finite sample performance of the proposed estimator with various other estimators. While the Monte Carlo results show that the proposed estimator performs adequately in terms of relative efficiency, its performance on the basis of empirical size is quite similar to the other estimators considered. The results from using the different estimators in two applications highlight the importance of devising a test in future to distinguish between the source of heteroskedasticity.

Suggested Citation

  • Nilanjana Roy, 1999. "Is Adaptive Estimation Useful for Panel Models With Heteroskedasticity in the Unit-Specific Error Component? Some Monte Carlo Evidence," Econometrics Working Papers 9913, Department of Economics, University of Victoria.
    • Handle: RePEc:vic:vicewp:9913
    Note: ISSN 1485-6441
    as

    Download full text from publisher

    File URL: https://www.uvic.ca/socialsciences/economics/_assets/docs/econometrics/ewp9913.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baltagi, Badi H & Griffin, James M, 1988. "A Generalized Error Component Model with Heteroscedastic Disturbances," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(4), pages 745-753, November.
    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. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    2. M. Giulietti & S. Mccorriston & P. Osborne, 2004. "Foreign direct investment in the UK: evidence from a disaggregated panel of the UK food sector," Applied Economics, Taylor & Francis Journals, vol. 36(7), pages 653-663.
    3. Baltagi, Badi H. & Jung, Byoung Cheol & Song, Seuck Heun, 2010. "Testing for heteroskedasticity and serial correlation in a random effects panel data model," Journal of Econometrics, Elsevier, vol. 154(2), pages 122-124, February.
    4. Ghulam, Yaseen, 2021. "Institutions and firms’ technological changes and productivity growth," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    5. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2006. "Joint LM test for homoskedasticity in a one-way error component model," Journal of Econometrics, Elsevier, vol. 134(2), pages 401-417, October.
    6. Eduardo Fé, 2012. "Instrumental variable estimation of heteroskedasticity adaptive error component models," Statistical Papers, Springer, vol. 53(3), pages 577-615, August.
    7. Shantanu Dutta & Om Narasimhan & Surendra Rajiv, 1999. "Success in High-Technology Markets: Is Marketing Capability Critical?," Marketing Science, INFORMS, vol. 18(4), pages 547-568.
    8. Chen, Kevin Z. & D. Meilke, Karl & Turvey, Calum, 1999. "Income risk and farm consumption behavior," Agricultural Economics, Blackwell, vol. 20(2), pages 173-183, March.
    9. repec:ebl:ecbull:v:3:y:2008:i:75:p:1-10 is not listed on IDEAS
    10. Eduardo Fé Rodríguez, 2009. "Adaptive Instrumental Variable Estimation of Heteroskedastic Error Component Models," Economics Discussion Paper Series 0921, Economics, The University of Manchester.
    11. Kouassi, Eugene & Mougoué, Mbodja & Sango, Joel & Bosson Brou, J.M. & Amba, Claude M.O. & Salisu, Afeez Adebare, 2014. "Testing for heteroskedasticity and spatial correlation in a two way random effects model," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 153-171.
    12. Julius Schäper & Rainer Winkelmann, 2024. "Random effects panel data models with known heteroskedasticity," ECON - Working Papers 445, Department of Economics - University of Zurich, revised Sep 2024.
    13. Baltagi, Badi H. & Song, Seuck Heun & Kwon, Jae Hyeok, 2009. "Testing for heteroskedasticity and spatial correlation in a random effects panel data model," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2897-2922, June.
    14. Almas Heshmati & Subal C. Kumbhakar, 2010. "Technical Change and Total Factor Productivity Growth: The Case of Chinese Provinces," TEMEP Discussion Papers 201054, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2010.
    15. Subal C. Kumbhakar, 1996. "Le ralentissement de la productivité des entreprises d'électricité au Texas : le rôle des marges, des rendements d'échelle et du progrès technique," Économie et Prévision, Programme National Persée, vol. 126(5), pages 77-89.
    16. Shiu, Alice & Heshmati, Almas, 2006. "Technical Change and Total Factor Productivity Growth for Chinese Provinces: A Panel Data Analysis," Ratio Working Papers 98, The Ratio Institute.
    17. Nilanjana Roy, 2002. "Is Adaptive Estimation Useful For Panel Models With Heteroskedasticity In The Individual Specific Error Component? Some Monte Carlo Evidence," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 189-203.
    18. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    19. Khaled Elmawazini & Elias G. Saleeby & Ahmed Ibn el Farouk & Bashayer AL-Naser, 2018. "Tripartite decomposition of labor productivity growth, FDI and human development: evidence from transition economies," Economic Change and Restructuring, Springer, vol. 51(2), pages 153-171, May.
    20. repec:ebl:ecbull:v:3:y:2003:i:15:p:1-4 is not listed on IDEAS
    21. Robert Phillips, 2003. "Some Monte Carlo results for a generalized error component model with heteroskedastic disturbances," Economics Bulletin, AccessEcon, vol. 3(15), pages 1-4.
    22. Almas Heshmati, 1996. "On the single and multiple time trends representation of technical change," Applied Economics Letters, Taylor & Francis Journals, vol. 3(8), pages 495-499.

    More about this item

    Keywords

    Heteroskedasticity; Kernel Estimation; Error Component Model;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:vic:vicewp:9913. 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: Kali Moon (email available below). General contact details of provider: https://edirc.repec.org/data/devicca.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.