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Estimating Quarterly Values of Annually Known Variables in Quarterly Relationships
W. H. Somermeyer, R. Jansen and A. S. Louter
Journal of the American Statistical Association
Vol. 71, No. 355 (Sep., 1976), pp. 588-595
Stable URL: http://www.jstor.org/stable/2285587
Page Count: 8
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The method presented here assumes that the variable under consideration is a weighted moving average of annual values, with weights to be estimated by means of quadratic programming. This multivariate (MV) method is used to estimate quarterly income figures on the basis of annual income data in quarterly consumption functions for the U.S. and the Netherlands. The MV method appears to perform slightly better than the competing single-variate (SV) smoothing methods of Feibes, Boot and Lisman with respect to parameter estimates, and smallness and randomness of the differences between calculated and observed values of consumption.
Journal of the American Statistical Association © 1976 American Statistical Association