Estimating function approach for CHARN models

Hiroomi Kanai, Hiroaki Ogata*, Masanobu Taniguchi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Godambe (1960,1985) and Hansen (1982) proposed the method of estimating function which makes a bridge between least squares estimator and maximum likelihood estimator. In this paper we apply the estimating function approach to CHARN models which include many well-known nonlinear time series models as special cases. Since the estimation function does not always yield the asymptotically efficient estimator, we give the optimal estimating function which entails the asymptotic efficient estimator. Numerical studies are provided, and they show some interesting features of the asymptotics.

Original languageEnglish
Pages (from-to)1-21
Number of pages21
Issue number1
Publication statusPublished - 2010


  • Charn model
  • Empirical likelihood
  • Estimating function
  • Mean square error
  • Nonlinear time series model
  • Optimal estimating function

ASJC Scopus subject areas

  • Statistics and Probability


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