Adaptive Estimation of the Dynamic Linear Model with Fixed Effects
AbstractThis paper shows how the dynamic linear model with fixed regressors can be efficiently estimated. This dynamic model can be used to distinguish spurious correlation from state dependence and we show that the integrated likelihood estimator is adaptive for any asymptotics with T increasing where T is the number of observations per individual.
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Bibliographic InfoPaper provided by University of Western Ontario, Department of Economics in its series UWO Department of Economics Working Papers with number 200210.
Date of creation: Oct 2002
Date of revision:
Contact details of provider:
Postal: Department of Economics, Reference Centre, Social Science Centre, University of Western Ontario, London, Ontario, Canada N6A 5C2
Phone: 519-661-2111 Ext.85244
Web page: http://economics.uwo.ca/research/research_papers/department_working_papers.html
Panel data; Efficient Estimation; Bayesian Analysis;
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- Geert Dhaene & Koen Jochmans, 2013.
"Likelihood inference in an Autoregression with fixed effects,"
Sciences Po publications
2013-07, Sciences Po.
- Geert Dhaene & Koen Jochmans, 2013. "Likelihood inference in an Autoregression with fixed effects," Sciences Po Economics Discussion Papers 2013-07, Sciences Po Departement of Economics.
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