A Local Instrumental Variable Estimation Method For Generalized Additive Volatility Models
AbstractWe investigate a new separable nonparametric model for time series, which includes many ARCH models and 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.
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Bibliographic InfoPaper provided by Financial Markets Group in its series FMG Discussion Papers with number dp509.
Date of creation: Sep 2004
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Web page: http://www.lse.ac.uk/fmg/
Other versions of this item:
- Woocheol Kim & Oliver Linton, 2003. "A Local Instrumental Variable Estimation Method for Generalized Additive Volatility Models," STICERD - Econometrics Paper Series /2003/456, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- G30 - Financial Economics - - Corporate Finance and Governance - - - General
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
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