Robinson, Peter (2007) On discrete sampling of time-varying continuous-time systems. EM (520). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.
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Abstract
We consider a multivariate continuous time process, generated by a system of linear stochastic differential equations, driven by white noise and involving coefficients that possibly vary over time. The process is observable only at discrete, but not necessarily equally-spaced, time points (though equal spacing significantly simplifies matters). Such settings represent partial extensions of ones studied extensively by A.R. Bergstrom. A model for the observed time series is deduced. Initially we focus on a first-order model, but higher-order ones are discussed in case of equally-spaced observations. Some discussion of issues of statistical inference is included.
| Item Type: | Monograph (Discussion Paper) | 
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| Official URL: | http://sticerd.lse.ac.uk | 
| Additional Information: | © 2007 Peter Robinson | 
| Divisions: | Economics STICERD | 
| Subjects: | H Social Sciences > HB Economic Theory Q Science > QA Mathematics | 
| JEL classification: | C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors > C32 - Time-Series Models | 
| Date Deposited: | 09 Jul 2008 10:49 | 
| Last Modified: | 11 Sep 2025 04:13 | 
| URI: | http://eprints.lse.ac.uk/id/eprint/6795 | 
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