On the Role of Jacobian Terms in Maximum Likelihood Estimation
AbstractBecause of the presence of Jacobian terms, determinants which arise as a result of a transformation of variables, many common likelihood functions have singularities. This fact has several implications for maximum likelihood estimation. The most interesting of these is that singularities often correspond with economically meaningful restrictions, and can be used to impose the latter. Several applications of this principle are presented. They suggest that maximum likelihood should be preferred to other estimation schemes not only because of its optimal large-sample statistical properties, but also because of its ability to incorporate certain a priori restrictions from economic theory.
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Bibliographic InfoPaper provided by Queen's University, Department of Economics in its series Working Papers with number 304.
Date of creation: 1978
Date of revision:
Jacobian; maximum likelihood; loglikelihood; multiple maxima; singularity;
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- Charles M. Beach & James G. MacKinnon, 1977.
"Full Maximum Likelihood Estimation of Second-Order Autoregressive Error Models,"
259, Queen's University, Department of Economics.
- Beach, Charles M. & MacKinnon, James G., 1978. "Full maximum likelihood estimation of second- order autoregressive error models," Journal of Econometrics, Elsevier, vol. 7(2), pages 187-198, June.
- Beach, Charles M & MacKinnon, James G, 1978. "A Maximum Likelihood Procedure for Regression with Autocorrelated Errors," Econometrica, Econometric Society, vol. 46(1), pages 51-58, January.
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