Publication Date
1982
Abstract
Using known data, the methodologies available for microdata file merging are compared. Results indicate that various techniques work or do not work in specific circumstances. An optimal-constrined merge model with an absolute difference distance function provide the best results.
Document Type
Article
Keywords
statistical merging, distance functions, methodology, statistical analysis, microdata file merging
Disciplines
Business
Extent
134 pages
Format
Rights
The files in this collection are protected by copyright law. No commercial reproduction or distribution of these files is permitted without the written permission of Southern Methodist University, Cox Business School. These files may be freely used for educational purposes, provided they are not altered in any way, and Southern Methodist University is cited. For more information, contact ncds@smu.edu.
Language
English
