A measurement error model approach to survey data integration: combining information from two surveys

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 219
  • Download : 0
Combining information from several surveys from the same target population is an important practical problem in survey sampling. The paper is motivated by work that authors undertook, sponsored by the Food and Nutrition Technical Assistance III Project (FANTA), with funding from the U.S. Agency for International Development (USAID) Bureau of Food Security (BFS). In the project, two surveys were conducted independently for some areas and we present a measurement error model approach to integrate mean estimates obtained from the two surveys. The predicted values for the counterfactual outcome are used to create composite estimates for the overlapped areas. An application of the technique to the project is provided.
Publisher
Springer
Issue Date
2017-12
Language
English
Citation

Metron, v.75, no.3, pp.345 - 357

ISSN
0026-1424
DOI
10.1007/s40300-017-0124-0
URI
http://hdl.handle.net/10203/238163
Appears in Collection
MA-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0