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J. Staudenmayer and P. Buonaccorsi, “Measurement Error in Linear Autoregressive Model,” Journal of the American Statistical Association,” Vol. 100, No. 471. 2005, pp. 841-851. doi:10.1198/016214504000001871

has been cited by the following article:

• TITLE: Edgeworth Approximation of a Finite Sample Distribution for an AR(1) Model with Measurement Error

  AUTHORS: Shuichi Nagata

  KEYWORDS: Edgeworth Expansion; OLS; Measurement Error; Instrumental Variables Estimator

  JOURNAL NAME: Open Journal of Statistics, Vol.2 No.4, October 31, 2012

  ABSTRACT: In this paper, we consider the finite sample property of the ordinary least squares (OLS) estimator for an AR(1) model with measurement error. We present the Edgeworth approximation for a finite distribution of OLS up to O(T1/2). We introduce an instrumental variable estimator that is consistent in the presence of measurement error. Finally, a simulation study is conducted to assess the theoretical results and to compare the finite sample performances of these estimators.