|
Activity Number:
|
288
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Government Statistics
|
| Abstract - #308480 |
|
Title:
|
Imputation Classes by Size Measure for the Annual Survey of Manufacture of Statistics Canada
|
|
Author(s):
|
Yi Li*+
|
|
Companies:
|
Statistics Canada
|
|
Address:
|
150 Tunney's Pasture Driveway, Ottawa, ON, K1A 0T6, Canada
|
|
Keywords:
|
Ratio Type Imputation Methods ; Imputation Classes ; Size Measure
|
|
Abstract:
|
Ratio type imputation methods are extensively used for the imputation of the Annual Survey of Manufacture (ASM) of Statistics Canada. For example, one method consists in deriving the ratio between the variable requiring imputation and an auxiliary variable using a group of eligible records within an imputation class. This ratio is then applied to the record requiring imputation to generate an imputed value. In order to improve the quality of imputed data, in addition to industry classification and geographical location, a size measure variable was introduced in constructing the imputation classes so that the units of different sizes can be properly represented. In this paper, we will discuss the criteria used to define the size measure variable and the strategy used to determine the size groups for the Edit and Imputation of ASM.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2007 program |
