Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/79406 
Authors: 
Year of Publication: 
2006
Series/Report no.: 
cemmap working paper No. CWP23/06
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
For a simplified structural equation/IV regression model with one right-side endogenous variable, we obtain the exact conditional distribution function for Moreira's (2003) conditional likelihood ratio (CLR) test. This is then used to obtain the critical value function needed to implement the CLR test, and reasonably comprehensive graphical versions of the function are provided for practical use. The analogous functions are also obtained for the case of testing more than one right-side endogenous coefficient, but only for an approximation to the true likelihood ratio test. We then go on to provide an exact analysis of the power functions of the CLR test, the Anderson-Rubin test, and the LM test suggested by Kleibergen (2002). The CLR test is shown to clearly conditionally dominate the other two tests for virtually all parameter configurations, but none of these test is either inadmissible or uniformly superior to the other two.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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