The behavioural framework has several attractions to offer for the identification of multivariable systems. Some of the variables may be left unexplained without the need for a distinction between inputs and outputs; criteria for model quality are independent of the chosen parametrization; and behaviours allow for a global (i.e., non-local) approximation of the system dynamics. This is illustrated with a behavioural least squares method with an application in dynamic factor analysis.

behaviour, factor models, least squares, linear system, system identification
Econometric Institute Research Papers
Erasmus School of Economics

Scherrer, W, & Heij, C. (1997). Identification of System Behaviours by Approximation of Time Series Data (No. EI 9710-/A). Econometric Institute Research Papers. Retrieved from