The Exact Finite-Sample Distribution of the Limited-Information Maximum Likelihood Estimator in the Case of Two Included Endogenous Variables
This article is concerned with the exact finite-sample distribution of the limited-information maximum likelihood estimator when the structural equation being estimated contains two endogenous variables and is identifiable in a complete system of linear stochastic equations. The density function derived, which is represented as a doubly infinite series of a complicated form, reveals the important fact that For arbitrary values of the parameters in the model, the LIML estimator does not possess moments of order greater than or equal to one.
Journal of the American Statistical Association
Taylor and Francis
Mariano, Roberto S. and Sawa, Takamitsu.
The Exact Finite-Sample Distribution of the Limited-Information Maximum Likelihood Estimator in the Case of Two Included Endogenous Variables. (1972). Journal of the American Statistical Association. 67, (337), 159-163. Research Collection School Of Economics.
Available at: http://ink.library.smu.edu.sg/soe_research/155
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