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A Note on the Estimation of Disaggregate Time Series When The Aggregate is Known
43
Citations
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References
1982
Year
Mathematical ProgrammingParameter EstimationEngineeringSeminal PaperConsistency RequirementTime Series EconometricsSimultaneous Equation ModelingEconomic ForecastingAggregate FunctionEstimation TheoryApproximation TheoryStatisticsNonlinear Time SeriesMultiple Regression RelationEstimation StatisticForecastingFinanceEconometric ModelDisaggregate Time SeriesBusinessEconometrics
In their seminal paper, Chow and Lin (1971) consider the following problem: let X be a (T x k) matrix of high-frequency' (say, quarterly) indicators2 and y a vector of dimension N of low-frequency (say, yearly) observations on the variable to be distributed each year among the q (say, four) intra-annual periods. It is desired to get an estimate (z, vector T x 1, T = Nq) of the unknown quarterly series z possessing some optimal properties and satisfying the condition that the q values of the z se'ries within each period (year) sum up to the observed relevant value of y (consistency requirement). To start with they assume that there exists a multiple regression relation of the kind
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