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A Note on Heywood Cases in Linear Structural Models

Author

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  • Mahseredjian, S.
  • Montmarquette, C.

Abstract

This Paper Shows That Rindskopf's Parameterization Technique Is Not an Acceptable Solution to the Heywood Problem, Especially, If One Is Interested in Standard Errors and T-Statistics for the Parameter Estimates of a Linear Structural Model. Simple Alternative Solutions Are Proposed and Discussed. Finally, This Note Raises the Question of the Existence of a Fundamental Incompatibility Between a Given Data Set and a Lisrel Modelling of a Problem. Keywords: Heywood Cases, Lisrel.

Suggested Citation

  • Mahseredjian, S. & Montmarquette, C., 1985. "A Note on Heywood Cases in Linear Structural Models," Cahiers de recherche 8514, Universite de Montreal, Departement de sciences economiques.
    • Handle: RePEc:mtl:montde:8514
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