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Reaching Migrants in Survey Research

The Use of the Global Positioning System to Reduce Coverage Bias in China

Bibliographic Data

ID7971012
AuthorsPierre F Landry (0000-0003-4084-9503, Yale University), Mingming Shen (Peking University)
Year2005
Volume13
Issue1
Pages1-22
Publication date2005-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitical Analysis (JOURNAL)
Journal identifiersISSN: 1047-1987 • E-ISSN: 1476-4989
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1093/pan/mpi001
OpenAlexW2055599153
LanguageEN
Citations received127
References cited14

List-based samples are often biased because of coverage errors. The problem is especially acute in societies where the level of internal migration is high and where record keeping on the population is not reliable. We propose a solution based on spatial sampling that overcomes the inability to reach migrants in traditional area samples based on household lists. A comparison between a traditional study and our sample of Beijing demonstrates that coverage bias is greatly reduced. The successful incorporation of mobile urban residents has important substantive effects, in both univariate and multivariate analyses of public opinion data

Beijing · China · Demographic economics · Econometrics · Economics · Geography · Multivariate statistics · Political science · Population · Public opinion · Regional science · Sample (material · Sample size determination · Sampling (signal processing · Sampling bias · Sociology · Statistics · Telecommunications · Univariate · Computer Science · Homelessness and Social Issues · Mathematics · Migration and Labor Dynamics · Urban, Neighborhood, and Segregation Studies · Demography · Law

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Unique citing works127
Citations per year6,05
Citation span2005 - 2026 (22)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 124

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