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Approximate Distributions in Essentially Linear Models

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  • An, Mark Y.
  • Christensen, Bent Jesper
  • Kiefer, Nicholas M.

Abstract

A 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 pstar-formula even though the MLE itself is not typically achievable in closed form. The method has many econometric applications and works well in practice.

Suggested Citation

  • 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.
    • Handle: RePEc:duk:dukeec:98-10
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    Cited by:

    1. Ortega, Jaime, 2000. "Job Rotation as a Mechanism for Learning," CLS Working Papers 00-4, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    2. Westergaard-Nielsen, Niels, 2001. "Danish Labour Market Policy: Is it worth it?," CLS Working Papers 01-10, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    3. Pedersen, Peder J. & Smith, Nina, 2001. "International Migration and Migration policy in Denmark," CLS Working Papers 01-5, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.

    More about this item

    JEL classification:

    • 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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