Complementing Data Gaps on Wages in the Labour Force Survey Data Set: Evidence from Poland

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dc.contributor.authorGrabowski, Wojciech
dc.contributor.authorKorczak, Karol
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2020-09-02T09:42:29Z
dc.date.available2020-09-02T09:42:29Z
dc.description.abstractDue to the low level of quality of the Labour Force Survey (LFS) data set, studies devoted to matching the LFS data with data from alternative sources are frequent. In this paper, we propose a novel method of complementing data gaps on wages in the Labour Force Survey data set. The method is based on estimataing the parameters of the multilevel model explaining wages on the basis of the Structure of Earnings Survey (SES) data set. In such a way, we identify the impact of individual characteristics and enterprise-level features on wages. We also find evidence of random differences between the wages of workers from different professional groups. The relative importance of consecutive groups of variables is evaluated on the basis of the estimates of the parameters of the full model and reduced models. The results of the estimation of the parameters are in line with expectations. The estimates of parameters and predictions of random effects are used in order to calculate the theoretical wages of individuals who do not report wages in the Labour Force Survey. When the predicted wages are compared with the observed ones, some discrepancies are observed. Rationales for these discrepancies are provided. Therefore, the use of a correction factor is proposed. Correction factors are provided for different features of workers and different features of enterprises. The use of the microeconometric multilevel model, as well as the correction factor, leads to reasonable wage estimates of workers not reporting them in the Labour Force Survey. The proposed method may be used in order to complement data gaps on wages for other EU countries.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2020-3-001
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/157477
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
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dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectLFSen
dc.subjectSESen
dc.subjectmicroeconometricsen
dc.subjectmixed-effects modelen
dc.subjectdata gapsen
dc.subject.classificationC50
dc.subject.classificationJ01
dc.subject.classificationC21
dc.titleComplementing Data Gaps on Wages in the Labour Force Survey Data Set: Evidence from Polanden
dc.typeArticleen
local.accessopen
local.citation.epage22
local.citation.spage4
local.facultyFaculty of Economics
local.filenameEM_3_2020_1
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue23
local.relation.volume3
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