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A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator

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cris.lastimport.scopus2024-02-12T20:14:08Z
dc.abstract.enWe investigate the reliability of data from the Wage Indicator (WI), the largest online survey on earnings and working conditions. Comparing WI to nationally representative data sources for 17 countries reveals that participants of WI are not likely to have been representatively drawn from the respective populations. Previous literature has proposed to utilize weights based on inverse propensity scores, but this procedure was shown to leave reweighted WI samples different from the benchmark nationally representative data. We propose a novel procedure, building on covariate balancing propensity score, which achieves complete reweighting of the WI data, making it able to replicate the structure of nationally representative samples on observable characteristics. While rebalancing assures the match between WI and representative benchmark data sources, we show that the wage schedules remain different for a large group of countries. Using the example of a Mincerian wage regression, we find that in more than a third of the cases, our proposed novel reweighting assures that estimates obtained on WI data are not biased relative to nationally representative data. However, in the remaining 60 percent of the analyzed 95 data sets, systematic differences in the estimated coefficients of the Mincerian wage regression between WI and nationally representative data persist even after reweighting. We provide some intuition about the reasons behind these biases. Notably, objective factors such as access to the Internet or richness appear to matter, but self-selection (on unobservable characteristics) among WI participants appears to constitute an important source of bias.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorSmyk-Szymańska, Magdalena
dc.contributor.authorVelde, Lucas van der
dc.contributor.authorTyrowicz, Joanna
dc.date.accessioned2024-01-24T17:17:36Z
dc.date.available2024-01-24T17:17:36Z
dc.date.issued2021
dc.description.financePublikacja bezkosztowa
dc.description.number1
dc.description.volume50
dc.identifier.doi10.1177/0049124118782538
dc.identifier.issn0049-1241
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/101437
dc.identifier.weblinkhttps://journals.sagepub.com/doi/10.1177/0049124118782538
dc.languageeng
dc.pbn.affiliationmanagement and quality studies
dc.relation.ispartofSociological Methods and Research
dc.relation.pages429-464
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.endecomposition
dc.subject.encovariate balancing propensity scores
dc.subject.enweights
dc.subject.enonline survey
dc.subject.pldekompozycja
dc.subject.pldopasowanie
dc.subject.plwagi
dc.titleA Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator
dc.typeJournalArticle
dspace.entity.typePublication