Autor: |
MORRIS, DARCY STEEG |
Předmět: |
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Zdroj: |
Public Opinion Quarterly; 2017 Supplement, Vol. 81, p357-384, 28p, 1 Diagram, 5 Charts, 1 Graph |
Abstrakt: |
The use of administrative records--data collected by governmental agencies or commercial businesses in the course of administering a program or service--for household enumeration may be one way to significantly reduce Decennial Census costs, particularly in nonresponse follow-up (NRFU). Administrative records suffer the complications of big data in that they are collected for purposes not related to Census enumeration, yet contain a wealth of information relevant to Census enumeration. This paper describes a modeling approach to determine which administrative data are sufficiently reliable to proxy for a field response in a way that reduces costs and balances quality. Specifically, the approach is to (1) develop and assess models to determine characteristics of good-quality administrative records via a retrospective study of linked field and administrative data; and (2) choose a quality threshold, in a statistically defensible way, at which administrative records take the place of field responses. This paper presents empirical results illustrating the cost-quality trade-off of this approach applied to Census enumeration. We assess three classification techniques to further detail the cost-quality trade-off and allow flexibility in balancing predictive power and implementation complexity. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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