IDEAS home Printed from https://ideas.repec.org/p/gro/rugsom/03c27.html
   My bibliography  Save this paper

Unconditional maximum likelihood estimation of dynamic models for spatial panels

Author

Listed:
  • Elhorst, J. Paul

    (Groningen University)

Abstract

This paper hammers out the estimation of a fixed effects dynamic panel data model extended either to include spatial error autocorrelation or a spatially lagged dependent variable. To overcome the inconsistencies associated with the traditional least squares dummy estimator, the models are first-differenced to eliminate the fixed effects and then the unconditional likelihood function is derived taking into account the density function of the first-differenced observations on each spatial unit. When exogenous variables are omitted, the exact likelihood function of both models is found to exist. When exogenous variables are included, the presample values of these variables and thus the likelihood function must be approximated. Two leading cases are considered: the Bhargava and Sargan approximation and the Nerlove and Balestra approximation. As an application, a dynamic demand model for cigarettes is estimated based on panel data from 46 American states over the period 1963 to 1992.

Suggested Citation

  • Elhorst, J. Paul, 2003. "Unconditional maximum likelihood estimation of dynamic models for spatial panels," Research Report 03C27, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  • Handle: RePEc:gro:rugsom:03c27
    as

    Download full text from publisher

    File URL: http://irs.ub.rug.nl/ppn/25230568X
    Download Restriction: no

    References listed on IDEAS

    as
    1. Baltagi, Badi H & Levin, Dan, 1986. "Estimating Dynamic Demand for Cigarettes Using Panel Data: The Effects of Bootlegging, Taxation and Advertising Reconsidered," The Review of Economics and Statistics, MIT Press, vol. 68(1), pages 148-155, February.
    2. Alok Bhargava & J. D. Sargan, 2006. "Estimating Dynamic Random Effects Models From Panel Data Covering Short Time Periods," World Scientific Book Chapters,in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 1, pages 3-27 World Scientific Publishing Co. Pte. Ltd..
    3. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    4. Kathleen P. Bell & Nancy E. Bockstael, 2000. "Applying the Generalized-Moments Estimation Approach to Spatial Problems Involving Microlevel Data," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 72-82, February.
    5. Baltagi, Badi H. & Levin, Dan, 1992. "Cigarette taxation: Raising revenues and reducing consumption," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 321-335, December.
    6. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    7. Harald Badinger & Werner Muller & Gabriele Tondl, 2004. "Regional Convergence in the European Union, 1985- 1999: A Spatial Dynamic Panel Analysis," Regional Studies, Taylor & Francis Journals, vol. 38(3), pages 241-253.
    8. Arellano, Manuel, 1989. "A note on the Anderson-Hsiao estimator for panel data," Economics Letters, Elsevier, vol. 31(4), pages 337-341, December.
    9. Ahn, Seung C. & Schmidt, Peter, 1997. "Efficient estimation of dynamic panel data models: Alternative assumptions and simplified estimation," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 309-321.
    10. Badi H. Baltagi & James M. Griffin & Weiwen Xiong, 2000. "To Pool Or Not To Pool: Homogeneous Versus Hetergeneous Estimations Applied to Cigarette Demand," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 117-126, February.
    11. Anselin, Luc & Hudak, Sheri, 1992. "Spatial econometrics in practice : A review of software options," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 509-536, September.
    12. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    13. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. repec:oup:jecgeo:v:17:y:2017:i:2:p:435-463. is not listed on IDEAS
    2. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," MPRA Paper 11569, University Library of Munich, Germany, revised Nov 2008.
    3. Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2017. "A Panel Data Toolbox for MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i06).
    4. Jones, Jonathan & Wren, Colin, 2008. "FDI location across British regions and inward investment policy," LSE Research Online Documents on Economics 33204, London School of Economics and Political Science, LSE Library.
    5. Jan P.A.M. Jacobs & Jenny E. Ligthart & Hendrik Vrijburg, 2009. "Dynamic Panel Data Models Featuring Endogenous Interaction and Spatially Correlated Errors," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0915, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    6. Bussu, Anna & Detotto, Claudio & Sterzi, Valerio, 2013. "Social conformity and suicide," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 42(C), pages 67-78.
    7. Mark Wachowiak & Renata Wachowiak-Smolikova & Jonathan Zimmerling, 2012. "The Viability of Global Optimization for Parameter Estimation in Spatial Econometrics Models," ERSA conference papers ersa12p598, European Regional Science Association.
    8. Tonzer, Lena, 2015. "Cross-border interbank networks, banking risk and contagion," Journal of Financial Stability, Elsevier, vol. 18(C), pages 19-32.
    9. repec:taf:rjbsxx:v:31:y:2016:i:4:p:441-461 is not listed on IDEAS
    10. Bussu, Anna & Detotto, Claudio & Sterzi, Valerio, 2013. "Social conformity and suicide," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 42(C), pages 67-78.
    11. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    12. Edoardo Di Porto & Angela Parenti & Sonia Paty & Zineb Abidi, 2017. "Local government cooperation at work: a control function approach," Journal of Economic Geography, Oxford University Press, vol. 17(2), pages 435-463.
    13. repec:eee:touman:v:32:y:2011:i:5:p:1075-1084 is not listed on IDEAS
    14. Amjad Naveed & Nisar Ahmad, 2016. "Technology Spillovers and International Borders: A Spatial Econometric Analysis," Journal of Borderlands Studies, Taylor & Francis Journals, vol. 31(4), pages 441-461, October.
    15. Eckhardt Bode & Sergio J. Rey, 2006. "The spatial dimension of economic growth and convergence," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 171-176, June.
    16. Deng, Minfeng & Athanasopoulos, George, 2011. "Modelling Australian domestic and international inbound travel: a spatial–temporal approach," Tourism Management, Elsevier, vol. 32(5), pages 1075-1084.
    17. Colin Wren & Jonathan Jones, 2011. "Assessing The Regional Impact Of Grants On Fdi Location: Evidence From U.K. Regional Policy, 1985–2005," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 497-517, August.
    18. Jonathan Jones & Colin Wren, 2008. "FDI Location Across British Regions and Inward Investment Policy," SERC Discussion Papers 0013, Spatial Economics Research Centre, LSE.

    More about this item

    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:gro:rugsom:03c27. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Hanneke Tamling). General contact details of provider: http://edirc.repec.org/data/ferugnl.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.