Identification and estimation of Gaussian affine term structure models

James Hamilton and Jing Cynthia Wu

Journal of Econometrics, 2012, vol. 168, issue 2, 315-331

Abstract: This paper develops new results for identification and estimation of Gaussian affine term structure models. We establish that three popular canonical representations are unidentified, and demonstrate how unidentified regions can complicate numerical optimization. A separate contribution of the paper is the proposal of minimum-chi-square estimation as an alternative to MLE. We show that, although it is asymptotically equivalent to MLE, it can be much easier to compute. In some cases, MCSE allows researchers to recognize with certainty whether a given estimate represents a global maximum of the likelihood function and makes feasible the computation of small-sample standard errors.

Keywords: Affine term structure models; Identification; Estimation; Minimum-chi-square (search for similar items in EconPapers)
JEL-codes: C13 E43 G12 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (126)

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Related works:
Working Paper: Identification and Estimation of Gaussian Affine Term Structure Models (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:168:y:2012:i:2:p:315-331

DOI: 10.1016/j.jeconom.2012.01.035

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