Using online vacancies and web surveys to analyse the labour market: a methodological inquiry

Kureková, Lucia Mýtna; Beblavý, Miroslav; Thum-Thysen, Anna

doi:10.1186/s40172-015-0034-4

Cited by 86 publications

(90 citation statements)

References 45 publications

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“…The role of the Wageindicator is also discussed within the larger debate on the growth of internet-based information in the social sciences. Kureková et al (2014) bring it into play when presenting advantages and disadvantages in using online data for labour market analysis. Askitas and Zimmermann (2015) mention this web survey among the internet sources of human resources data.…”

Section: Data and Definitionsmentioning

confidence: 99%

Skill mismatch among migrant workers: evidence from a large multi-country dataset

2015

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This article unravels the migrants' incidence of skill mismatch taking into consideration different migration flows. Mismatch is the situation in which workers have jobs for which lower skill levels are required compared to their education. We use a dataset (from a large multi-country web survey) particularly suited to investigate differences in skill mismatch between native and migrant workers. The main advantages are its ample size and the large variety of country of origin and destination combinations, which allows for detailed analysis of different migration flows. This provides an innovative multi-country perspective, including nations and migrants from all continents. We also identify the relation between overeducation and some of the most widely accepted theoretical explanations for the phenomenon among native workers and test whether it holds for migrants. These results are achieved by fulfilling three research objectives, which are to investigate (1) the factors affecting overeducation and whether migrants are more often overqualified, (2) the relation between overeducation and different country of origin and destination combinations, and (3) whether a range of theoretically based assumptions affect the incidence of overeducation and the extent to which they are relevant in the case of migrant workers. Skill mismatch is found to be more common among migrants compared to native workers, although the incidence differs across migrants depending on the country of residence. Differences in the incidence of overeducation between native and migrant workers are not only related to the country of residence but also to the combination of country of origin and destination. When theoretically based assumptions are used to explain overeducation, the relation found for the total population does not always hold in the case of migrants. All these findings are confirmed by both an explorative and a in-depth analysis. JEL codes: J24; J61; J15

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Section: Data and Definitionsmentioning

confidence: 99%

Skill mismatch among migrant workers: evidence from a large multi-country dataset

2015

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“…In economics research, labor markets are among the areas in which Big Data is increasingly being used (Choi and Variant, 2012;Askitas and Zimmermann, 2009;Artola and Galan, 2012;Artola et al, 2015;Antenucci et al, 2014;Kureková et al, 2015;Lenaerts et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Survey vs Scraped Data: Comparing Time Series Properties of Web and Survey Vacancy Data

Pedraza

Visintin

Tijdens

et al. 2019

IZA Journal of Labor Economics

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This paper studies the relationship between a vacancy population obtained from web crawling and vacancies in the economy inferred by a National Statistics Office (NSO) using a traditional method. We compare the time series properties of samples obtained between 2007 and 2014 by Statistics Netherlands and by a web scraping company. We find that the web and NSO vacancy data present similar time series properties, suggesting that both time series are generated by the same underlying phenomenon: the real number of new vacancies in the economy. We conclude that, in our case study, web-sourced data are able to capture aggregate economic activity in the labor market.

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“…As such, the WI datasets are increasingly used to particularly study topics which are hard to address using traditional data sources (Besamusca and Tijdens 2015, Guzi and de Pedraza 2015;Tijdens et al 2015;van Klaveren et al 2015). The limits and potential of using the WI data, as well as other web-based data sources, have been recently discussed in the IZA Journals Series as well (Mýtna-Kureková et al 2015;Lenaerts et al 2016).…”

Section: Data and Estimation Strategymentioning

confidence: 99%

(Un)beliveable wages? An analysis of minimum wage policies in Europe from a living wage perspective

Fabo

Belli²

2017

IZA J Labor Policy

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Minimum wage is one of the most debated issues in the labour policy area. Often perceived as a trade-off between employment and equality in earnings, the debate on minimum wage is highly polarized. With regard to the undergoing discussions on the Social Pillar of the European integration, we aim to extend the debate to include the aspect of minimum living standards, by empirically showing the gap between minimum wages and the minimum living wages in the peripheral countries of the European Union. JEL Classification: J39

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Using online vacancies and web surveys to analyse the labour market: a methodological inquiry

Cited by 86 publications

References 45 publications

Skill mismatch among migrant workers: evidence from a large multi-country dataset

Skill mismatch among migrant workers: evidence from a large multi-country dataset

Survey vs Scraped Data: Comparing Time Series Properties of Web and Survey Vacancy Data

(Un)beliveable wages? An analysis of minimum wage policies in Europe from a living wage perspective

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