Approximate Distributions in Essentially Linear Models
AbstractA new class of regression type models termed essentially linear models is proposed. The class is characterized by geometric considerations. Within the class the distribution of the maximum likelihood estimator is easily approximated by a natural extension of the p-formula even though the MLE itself is not typically achievable in closed form. The method has many econometric applications and works well in practice.
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Bibliographic InfoPaper provided by Centre for Labour Market and Social Research, Danmark- in its series Papers with number 98-08.
Date of creation: 1998
Date of revision:
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Other versions of this item:
- An, Mark Y. & Christensen, Bent Jesper & Kiefer, Nicholas M., 1998. "Approximate Distributions in Essentially Linear Models," Working Papers 98-10, Duke University, Department of Economics.
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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