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Memorandum, Department of Economics, University of Oslo >
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http://hdl.handle.net/10419/63162
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| Title: | | Estimating regression systems from unbalanced panel data: A stepwise maximum likelihood procedure  |
| Authors: | | Biørn, Erik |
| Issue Date: | | 1999 |
| Series/Report no.: | | Memorandum, Department of Economics, University of Oslo 1999,20 |
| Abstract: | | In this paper, we consider the formulation and estimation of systems of regression equations with random individual effects in the intercept terms from unbalanced panel data, i.e., panel data where the individual time series have unequal length. Generalized Least Squares (GLS) estimation and Maximum Likelihood (ML) estimation are discussed. A stepwise algorithm for solving the ML problem is developed. |
| Subjects: | | Panel Data Unbalanced panels Regression equation systems. Maximum Likelihood Heterogeneity Covariance estimation |
| JEL: | | C13 C23 C33
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| Document Type: | | Working Paper |
| Appears in Collections: | | Memorandum, Department of Economics, University of Oslo
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