IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v47y2014i2p451-468.html
   My bibliography  Save this article

Estimating SUR system with random coefficients: the unbalanced panel data case

Author

Listed:
  • Erik Biørn

Abstract

A system of regression equations for analyzing panel data with random heterogeneity in intercepts and coefficients, and unbalanced panel data is considered. A maximum likelihood (ML) procedure for joint estimation of all parameters is described. Since its implementation for numerical computation is complicated, simplified procedures are presented. The simplifications essentially concern the estimation of the covariance matrices of the random coefficients. The application and ‘anatomy’ of the proposed algorithm for modified ML estimation are illustrated by using panel data for output, inputs and costs for 111 manufacturing firms observed up to 22 years. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Erik Biørn, 2014. "Estimating SUR system with random coefficients: the unbalanced panel data case," Empirical Economics, Springer, vol. 47(2), pages 451-468, September.
    • Handle: RePEc:spr:empeco:v:47:y:2014:i:2:p:451-468
    DOI: 10.1007/s00181-013-0753-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-013-0753-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00181-013-0753-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Wansbeek, Tom & Kapteyn, Arie, 1989. "Estimation of the error-components model with incomplete panels," Journal of Econometrics, Elsevier, vol. 41(3), pages 341-361, July.
    2. Erik Biørn & Terje Hagen & Tor Iversen & Jon Magnussen, 2010. "How different are hospitals’ responses to a financial reform? The impact on efficiency of activity-based financing," Health Care Management Science, Springer, vol. 13(1), pages 1-16, March.
    3. Badi H. Baltagi, 2021. "Seemingly Unrelated Regressions with Error Components," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 149-155, Springer.
    4. Silvia Platoni & Paolo Sckokai & Daniele Moro, 2012. "A Note on Two-Way ECM Estimation of SUR Systems on Unbalanced Panel Data," Econometric Reviews, Taylor & Francis Journals, vol. 31(2), pages 119-141.
    5. Badi Baltagi & Seuck Song, 2006. "Unbalanced panel data: A survey," Statistical Papers, Springer, vol. 47(4), pages 493-523, October.
    6. Avery, Robert B, 1977. "Error Components and Seemingly Unrelated Regressions," Econometrica, Econometric Society, vol. 45(1), pages 199-209, January.
    7. Wansbeek, Tom & Kapteyn, Arie, 1982. "A Class of Decompositions of the Variance-Covariance Matrix of a Generalized Error Components Model," Econometrica, Econometric Society, vol. 50(3), pages 713-724, May.
    8. Erik Biørn & Kjersti-Gro Lindquist & Terje Skjerpen, 2002. "Heterogeneity in Returns to Scale: A Random Coefficient Analysis with Unbalanced Panel Data," Journal of Productivity Analysis, Springer, vol. 18(1), pages 39-57, July.
    9. Hsiao, Cheng, 1975. "Some Estimation Methods for a Random Coefficient Model," Econometrica, Econometric Society, vol. 43(2), pages 305-325, March.
    10. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    11. Baltagi, Badi H., 1985. "Pooling cross-sections with unequal time-series lengths," Economics Letters, Elsevier, vol. 18(2-3), pages 133-136.
    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. Biorn,E., 1999. "Random coefficients in regression equation systems : the case with unbalanced panel data," Memorandum 27/1999, Oslo University, Department of Economics.
    2. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
    3. Biorn, Erik, 2004. "Regression systems for unbalanced panel data: a stepwise maximum likelihood procedure," Journal of Econometrics, Elsevier, vol. 122(2), pages 281-291, October.
    4. Biorn,E., 1999. "Estimating regression systems from unbalanced panel data : a stepwise maximum likelihood procedure," Memorandum 20/1999, Oslo University, Department of Economics.
    5. Baltagi, Badi H. & Bresson, Georges, 2011. "Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris," Journal of Urban Economics, Elsevier, vol. 69(1), pages 24-42, January.
    6. Mitze, Timo & Alecke, Björn & Untiedt, Gerhard, 2008. "Trade, FDI and Cross-Variable Linkages: A German (Macro-)Regional Perspective," MPRA Paper 12245, University Library of Munich, Germany.
    7. Andrea Vaona & Mario Pianta, 2008. "Firm Size and Innovation in European Manufacturing," Small Business Economics, Springer, vol. 30(3), pages 283-299, March.
    8. Mittag, Nikolas, 2016. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," IZA Discussion Papers 10447, Institute of Labor Economics (IZA).
    9. 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.
    10. Laszlo Balazsi & Laszlo Matyas & Tom Wansbeek, 2018. "The estimation of multidimensional fixed effects panel data models," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 212-227, March.
    11. Muinelo-Gallo, Leonel & Roca-Sagalés, Oriol, 2013. "Joint determinants of fiscal policy, income inequality and economic growth," Economic Modelling, Elsevier, vol. 30(C), pages 814-824.
    12. Mittag, Nikolas, 2012. "New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany," FDZ Methodenreport 201201_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. repec:iab:iabfme:201201(en is not listed on IDEAS
    14. Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2005. "Lumpy Investments, Factor Adjustments and Productivity," Discussion Papers 441, Statistics Norway, Research Department.
    15. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
    16. Nijman, T.E. & Verbeek, M.J.C.M., 1993. "Nonresponse in panel data : The impact on estimates of a life cycle consumption function," Other publications TiSEM 7e304903-485c-4f36-b13a-f, Tilburg University, School of Economics and Management.
    17. Abrevaya, Jason, 2019. "Missing dependent variables in fixed-effects models," Journal of Econometrics, Elsevier, vol. 211(1), pages 151-165.
    18. Benjamin Verhelst & Dirk Van den Poel, 2014. "Deep habits in consumption: a spatial panel analysis using scanner data," Empirical Economics, Springer, vol. 47(3), pages 959-976, November.
    19. Drakos, A.A. & Bekiris, F.V., 2010. "Corporate performance, managerial ownership and endogeneity: A simultaneous equations analysis for the Athens stock exchange," Research in International Business and Finance, Elsevier, vol. 24(1), pages 24-38, January.
    20. Yves Guillotin & Patrick Sevestre, 1994. "Estimations de fonctions de gains sur données de panel : endogéneité du capital humain et effets de la sélection," Économie et Prévision, Programme National Persée, vol. 116(5), pages 119-135.
    21. Chennouf, Soheïl & Lévy-Garboua, Louis & Montmarquette, Claude, 1997. "Les effets de l’appartenance à un groupe de travail sur les salaires individuels," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 207-232, mars-juin.

    More about this item

    Keywords

    Panel data; Unbalanced data; Random coefficients ; Heterogeneity; Regression systems; Iterated maximum likelihood; C33; C51; C63; D24;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:spr:empeco:v:47:y:2014:i:2:p:451-468. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.