A space-time filter for panel data models containing random effects
A space-time filter structure is introduced that can be used to accommodate dependence across space and time in the error components of panel data models that contain random effects. This general specification encompasses several more specific space-time structures that have been used recently in the panel data literature. Markov Chain Monte Carlo methods are set forth for estimating the model which allow simple treatment of initial period observations as endogenous or exogenous. Performance of the approach is demonstrated using both Monte Carlo experiments and an applied illustration.
|Date of creation:||2009|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (513) 556-2670
Fax: (513) 556-2669
Web page: http://www.business.uc.edu/economics/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Magnus, J.R., 1982. "Multivariate error components analysis of linear and nonlinear regression models by maximum likelihood," Other publications TiSEM 9ffb33fe-f5af-470f-b405-f, Tilburg University, School of Economics and Management.
- Olivier Parent & James P. Lesage, 2010.
"A Spatial Dynamic Panel Model with Random Effects Applied to Commuting Times,"
University of Cincinnati, Economics Working Papers Series
2010-01, University of Cincinnati, Department of Economics.
- Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
- J. Barkley Rosser, 2009. "Introduction," Chapters, in: Handbook of Research on Complexity, chapter 1 Edward Elgar.
- N. Gregory Mankiw & David Romer & David N. Weil, 1990.
"A Contribution to the Empirics of Economic Growth,"
NBER Working Papers
3541, National Bureau of Economic Research, Inc.
- Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
- Charles I. Jones, 2002.
"Sources of U.S. Economic Growth in a World of Ideas,"
American Economic Review,
American Economic Association, vol. 92(1), pages 220-239, March.
- Jones, C.I., 2000. "Sources of U.S. Economic Growth in a World of Ideas," Papers 99-29, United Nations World Employment Programme-.
- Charles I. Jones, . "Sources of U.S. Economic Growth in a World of Ideas," Working Papers 98009, Stanford University, Department of Economics.
- J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
- Chib S. & Jeliazkov I., 2001. "Marginal Likelihood From the Metropolis-Hastings Output," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 270-281, March.
- Gasper A. Garofalo & Steven Yamarik, 2002. "Regional Convergence: Evidence From A New State-By-State Capital Stock Series," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 316-323, May.
- Baltagi, Badi H. & Heun Song, Seuck & Cheol Jung, Byoung & Koh, Won, 2007. "Testing for serial correlation, spatial autocorrelation and random effects using panel data," Journal of Econometrics, Elsevier, vol. 140(1), pages 5-51, September.
When requesting a correction, please mention this item's handle: RePEc:cin:ucecwp:2009-04. 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: (Sourushe Zandvakili)
If references are entirely missing, you can add them using this form.