Likelihood-based Specification
Likelihood-Based Specification is a model specification approach that belongs to the class of statistical methods in which the defining criterion is the maximization of the likelihood function, distinguished by its formal reliance on the probability of observed data given a set of parameters and assumed distributional form.
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2017–2026
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Maximum Likelihood Specification Testing and Conditional Moment Tests
Whitney K. Newey · Econometrica · 1985 · 527 citations
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University of North Carolina at Chapel Hill, United States
2 publications · 47 citations
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Central South University
Changsha, China
3 h-index
10 publications
696 citations
University of Michigan
Ann Arbor, United States
3 h-index
3 publications
183 citations

Wake Forest University
Winston-Salem, United States
2 h-index
4 publications
94 citations

Cornell University
Ithaca, United States
2 h-index
4 publications
162 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
52 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
47 citations

Uppsala University
Uppsala, Sweden
1 h-index
3 publications
57 citations
Oregon Health & Science University
Portland, United States
1 h-index
1 publications
63 citations
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5 publications · 325 citations
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2 publications · 74 citations
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2 publications · 449 citations
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2 publications · 38 citations
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1 publications · 40 citations
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