Two simple methods to improve official statistics for small subpopulations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F18%3A00498336" target="_blank" >RIV/00216208:11640/18:00498336 - isvavai.cz</a>
Alternative codes found
RIV/67985998:_____/18:00498641
Result on the web
<a href="http://dx.doi.org/10.18148/srm/2018.v12i3.7309" target="_blank" >http://dx.doi.org/10.18148/srm/2018.v12i3.7309</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18148/srm/2018.v12i3.7309" target="_blank" >10.18148/srm/2018.v12i3.7309</a>
Alternative languages
Result language
angličtina
Original language name
Two simple methods to improve official statistics for small subpopulations
Original language description
Many important statistics are known from official records for the entire population, but have to be estimated for subpopulations. I describe two simple data combination methods that reduce the substantial sampling error of the commonly used direct survey estimates for small subpopulations. The first estimator incorporates information from repeated cross-sections, while the second estimator uses the knowledge of the statistic for the overall population to improve accuracy of the estimates for subpopulations. To evaluate the estimators, I compare the estimated number of female and elderly recipients of a government transfer program by county to the “true” number from administrative data on all recipients in New York. I find that even the simple estimators substantially improve survey error. Incorporating the statistic of interest for the overall population yields particularly large error reductions and can reduce non-sampling error.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
<a href="/en/project/GJ16-07603Y" target="_blank" >GJ16-07603Y: The Causes and Consequences of Survey Misreporting: Evidence From Linked Administrative Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Survey Research Methods
ISSN
1864-3361
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
3
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
181-192
UT code for WoS article
000452640100001
EID of the result in the Scopus database
2-s2.0-85061509427