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On discrete sampling of time-varying continuous-time systems

Robinson, Peter M. (2009) On discrete sampling of time-varying continuous-time systems. Econometric Theory, 25 (04). pp. 985-994. ISSN 0266-4666

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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 models are discussed in the case of equally-spaced observations. Some discussion of issues of statistical inference is included.

Item Type: Article
Official URL:
Additional Information: © 2009 CUP
Library of Congress subject classification: H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
Sets: Departments > Economics
Collections > Economists Online
Date Deposited: 06 Apr 2011 13:05

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