Econometrica: May 1974, Volume 42, Issue 3

A General Procedure for Obtaining Maximum Likelihood Estimates in Generalized Regression Models

https://doi.org/0012-9682(197405)42:3<579:AGPFOM>2.0.CO;2-1
p. 579-590

J. Kmenta, W. Oberhofer

This paper describes an iterative procedure for obtaining maximum likelihood estimates of the parameters of a generalized regression model when direct maximization with respect to all parameters is difficult. A proof of convergence and some interesting applications are provided.

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