Dynamic Factor Analysis with Arma Factors

نویسنده

  • Chris Heaton
چکیده

In this paper we present a new approach to the specification of dynamic factor models. Our model has three advantages over existing work. Firstly, it is based on a minimal-dimension state-space representation giving some gain in computational efficiency over existing methods. Secondly, it easily accommodates hypothesis tests about the order of the factor-filter. Thirdly, by allowing the factor-filter to have a common polynomial factor, ARMA-factor models may be estimated with little extra computational expense over the ARfactor case. We illustrate the use of our model with an application to business cycle analysis. Correspondence to Chris Heaton, Department of Economics, Macquarie University, North Ryde NSW 2109, AUSTRALIA; [email protected].

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تاریخ انتشار 2000