Probit with Dependent Observations
AbstractEstimation of limited dependent variable models with dependent obse rvations has received relatively little attention due to the computational complexity of the maximum likelihood estimator. The authors develop a computationally-attractive and relatively efficient estimator for this case that utilizes the orthogonality conditions. The resulting generalized conditional moment estimators can be applied with a known or an unknown disturbance covariance matrix, alt hough the paper considers only the probit dependent models. Copyright 1988 by The Review of Economic Studies Limited.
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Bibliographic InfoArticle provided by Wiley Blackwell in its journal Review of Economic Studies.
Volume (Year): 55 (1988)
Issue (Month): 4 (October)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0034-6527
Other versions of this item:
- Poirier, Dale J. & Ruud, Paul A., 1987. "Probit with Dependent Obervations," Department of Economics, Working Paper Series qt04f5m9t2, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Dale J. Poirier and Paul A. Ruud., 1987. "Probit with Dependent Observations," Economics Working Papers 8734, University of California at Berkeley.
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