The Berndt–Hall–Hall–Hausman (BHHH) algorithm is an optimization technique used for maximum likelihood estimation (MLE) in statistical models, particularly in the context of econometrics. It is named after economists Richard Berndt, Bruce Hall, Robert Hausman, and Jerry Hausman, who contributed to its development and application.
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