Price imputation and other techniques for dealing with missing observations, seasonality and quality change in price indices
By: prepared by Paul A. Armknecht and Fenella Maitland-Smith.
Contributors: Maitland-Smith, Fenella.; International Monetary Fund. Statistics Dept.
Series: IMF working paper -- WP/99/78
Publisher: International Monetary Fund, Statistics Department
Published: 1999
Place of publication: [Washington, D.C.]
Language: eng
Number of pages: 28
Subjects: Price indexes -- Mathematical models.; Prices -- Mathematical models.; Seasonal variations (Economics) -- Mathematical models.; Multiple imputation (Statistics); Estimation theory.
Genres: Mathematical models.
Description: Price index compilers frequently face situations where price observations are missing due to seasonal unavailability, supply shortages, or the discontinuation of products. Incorrect treatment of such situations can result in biased price indices. This paper presents statistical imputation techniques that index compilers can use to prevent bias and suggests the extension of the same techniques to assist with adjustments for quality differences. The use of additional procedures for dealing with some of the problems caused by seasonal commodities is also discussed.
Notes: Caption title.

"June 1999."

Includes bibliographical references (p. 28).