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On the error of backcast estimates using conversion matrices under a change of classification

Doc: 02/2011

The classifications used by statistical agencies are sometimes updated. Hence, for the sake of comparability, it is necessary to estimate data from past periods according to the new classification. A frequently used method to calculate the estimates is through the use of Conversion Matrices. We present a theoretical analysis of this method and show with a practical example that it is possible to obtain useful estimates of the error.

Palabras clave / Key words: Change of Classification, Backcasting

On the error of backcast estimates using conversion matrices under a change of classification (Pdf 212 KB)
Ignacio Arbués, Natalia López