Design of Experiments to Investigate Joint Distributions in Microanalytic Simulations

Richard S. Barr
Additional contact information
Richard S. Barr: Southern Methodist University

A chapter in Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface, 1981, pp 17-21 from Springer

Abstract: Abstract The heart of a microsimulation model is the microdata on which it operates. Often, a single survey is insufficient to meet a model’s informational needs and two separate survey files are merged. This paper focuses on the statistical problems accompanying the file merge process. Empirical evidence of data distortions induced by some procedures is presented as is an experimental design to investigate the impact of various merging methods on microdata statistics.

Keywords: microsimulation; microdata; file merging; imputation; survey analysis (search for similar items in EconPapers)
Date: 1981
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-9464-8_3

Ordering information: This item can be ordered from
http://www.springer.com/9781461394648

DOI: 10.1007/978-1-4613-9464-8_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().