Kim, Woocheol and Linton, Oliver B. (2004) The live method for generalized additive volatility models. Econometric theory, 20 (6). pp. 1094-1139. ISSN 1469-4360
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Abstract
We investigate a new separable nonparametric model for time series, which includes many autoregressive conditional heteroskedastic (ARCH) models and autoregressive (AR) models already discussed in the literature. We also propose a new estimation procedure called LIVE, or local instrumental variable estimation, that is based on a localization of the classical instrumental variable method. Our method has considerable computational advantages over the competing marginal integration or projection method. We also consider a more efficient two-step likelihood-based procedure and show that this yields both asymptotic and finite-sample performance gains.
| Item Type: | Article |
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| Official URL: | http://uk.cambridge.org/journals/ect/ |
| Additional Information: | Copyright © 2004 Cambridge University Press. LSE has developed LSE Research Online so that users may access research output of the School. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LSE Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. You may freely distribute the URL (http://eprints.lse.ac.uk) of the LSE Research Online website. |
| Library of Congress subject classification: | H Social Sciences > HB Economic Theory |
| Sets: | Research centres and groups > Financial Markets Group (FMG) Collections > Economists Online Research centres and groups > Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD) Departments > Economics |
| Rights: | http://www.lse.ac.uk/library/rights/LSERO.htm |
| URL: | http://eprints.lse.ac.uk/321/ |
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