Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/337309 
Year of Publication: 
1995
Series/Report no.: 
Statistische Diskussionsbeiträge No. 1
Publisher: 
Universität Potsdam, Wirtschafts- und Sozialwissenschaftliche Fakultät, Potsdam
Abstract: 
In this paper a partial least squares (PLS) approach to dynamic modelling with latent variables is proposed. Let Y be a matrix of manifest variables and H the matrix of the corresponding latent variables. And let H = BH+ε be a structural PLS model with a coefficient matrix B. Then this model can be made a dynamic one by substituting for B a matrix F = B + CL containing the lag operator L. Then the structural dynamic model H = FH+ε is formally estimated like an ordinary PLS model. In an exploratory way the model can be used for forecasting purposes. The procedure is being programmed in ISP.
Subjects: 
PLS
dynamic models
path models
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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