Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/204318
Authors: 
Andersen, Laura Mørch
Year of Publication: 
2010
Series/Report no.: 
FOI Working Paper 2010/16
Abstract: 
This paper suggests solutions to two different types of simulation errors related to Quasi-Monte Carlo integration. Likelihood functions which depend on standard deviations of mixed parameters are symmetric in nature. This paper shows that antithetic draws preserve this symmetry and thereby improves precision substantially. Another source of error is that models testing away mixing dimensions must replicate the relevant dimensions of the quasi-random draws in the simulation of the restricted likelihood. These simulation errors are ignored in the standard estimation procedures used today and this paper shows that the result may be substantial estimation- and inference errors within the span of draws typically applied.
Subjects: 
Quasi-Monte Carlo integration
Antithetic draws
Likelihood Ratio tests
simulated likelihood
panel mixed multinomial logit
Halton draws
JEL: 
C15
C25
Document Type: 
Working Paper

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