Empirical likelihood confidence region for parameter in the errors-in-variables models
Hengjian Cui and
Journal of Multivariate Analysis, 2003, vol. 84, issue 1, 101-115
This paper proposes a constrained empirical likelihood confidence region for a parameter [beta]0 in the linear errors-in-variables model: Yi=xi[tau][beta]0+[var epsilon]i,Xi=xi+ui,(1[less-than-or-equals, slant]i[less-than-or-equals, slant]n), which is constructed by combining the score function corresponding to the squared orthogonal distance with a constrained region of [beta]0. It is shown that the coverage error of the confidence region is of order n-1, and Bartlett corrections can reduce the coverage errors to n-2. An empirical Bartlett correction is given for practical implementation. Simulations show that the proposed confidence region has satisfactory coverage not only for large samples, but also for small to medium samples.
Keywords: Bartlett; correction; Confidence; region; Coverage; error; Empirical; likelihood; Errors-in-variables; Linear; regression (search for similar items in EconPapers)
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