Converting fiscal year data into calendar year values / by Pierre A. Cholette and Andrew Baldwin.: CS11-614/89-7E-PDF
"This document proposes a method to transform fiscal year data into "calendar" year estimates. The "fiscal year" data refer, for instance, to the months of April to March of the following year; and the calendar year estimates, refer to the month of January to December. The method, based on temporal disaggregation, may also be used to disaggregate yearly data (fiscal or not) into monthly or quarterly values. The approach accornodates situations where the reference periods of the original data vary from occasion to occasion. It could also be adapted to transform fiscal quarter data into calendar quarters and aggregates of weekly data into monthly values. The method is essentially an adaptation of the Denton (1971) benchmarking method and of the Cohen, Muller and Padberg (1971) interpolation methods. These methods are redeveloped in the framework of regression analysis"--Abstract.
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|Department/Agency||Canada. Statistics Canada. Methodology Branch.|
|Title||Converting fiscal year data into calendar year values / by Pierre A. Cholette and Andrew Baldwin.|
|Series title||Working paper ; 89-7|
|Publication type||Series - View Master Record|
|Electronic document|| |
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|Note(s)|| Digitized edition from print [produced by Statistics Canada]. |
"Working Paper No. TSRA-89-007E."
Includes bibliographic references.
Abstract in French.
|Publishing information||Ottawa : Statistics Canada, 1989.|
|Author / Contributor|| Cholette, Pierre-A. (Pierre-Arthur), 1948- |
|Catalogue number|| |
|Departmental catalogue number||11-614E|
|Subject terms||Methodology, Statistical analysis|
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