Kalaba, Robert E.; Tesfatsion, Leigh

Computers and Mathematics With Applications Vol. 17 no. 08/09/09 (1989): 1215-1245.

This article develops a multicriteria "flexible least squares (FLS)" method for time-varying linear regression. The basic FLS objective is to determine the "residual efficiency frontier," that is, the set of all coefficient trajectory estimates that yield vector-minimal sums of squared residual measurement and dynamic errors conditional on a given set of observations. The FLS algorithm was incorporated into the statistical packages GAUSS/TSM and SHAZAM in 1997. Annotated pointers to related work can be accessed here: http://www.econ.iastate.edu/tesfatsi/flshome.htm

JEL Classification: C1, C3, C5