Quasi-Indirect Inference For Diffusion Processes
AbstractWe discuss an estimation procedure for continuous-time models based on discrete sampled data with a fixed unit of time between two consecutive observations. Because in general the conditional likelihood of the model cannot be derived, an indirect inference procedure following Gouri roux, Monfort, and Renault (1993, Journal of Applied Econometrics 8, 85 118) is developed. It is based on simulations of a discretized model. We study the asymptotic properties of this quasi -indirect estimator and examine some particular cases. Because this method critically depends on simulations, we pay particular attention to the appropriate choice of the simulation step. Finally, finite-sample properties are studied through Monte Carlo experiments.
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Bibliographic InfoArticle provided by Cambridge University Press in its journal Econometric Theory.
Volume (Year): 14 (1998)
Issue (Month): 02 (April)
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Other versions of this item:
- BROZE, Laurence & SCAILLET, Olivier & ZAKOIAN, Jean-Michel, . "Quasi-indirect inference for diffusion processes," CORE Discussion Papers RP -1327, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BROZE, Laurence & SCAILLET, Olivier & ZAKOIAN, Jean-Michel, 1995. "Quasi Indirect Inference for Diffusion Processes," CORE Discussion Papers 1995005, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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