2015
DOI: 10.2139/ssrn.2567255
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A Note on How to Realize the Full Potential of the EU-SILC Data

Abstract: Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces … Show more

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Cited by 7 publications
(4 citation statements)
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“…7 We follow the EU-SILC methodological literature (eg. Eurofound 2014, Berger and Schaffner 2015, Fernández-Macías and Vacas-Soriano 2016, Salverda and Rook 2023 in identifying a comparable sub-sample of full-time equivalent wage-earners as the basis of our indicative distribution of gross wages. From this distribution, we use the tenth and fifth percentiles as proxies for effective and absolute wage floors (see Haapanala et al 2023).…”
Section: Have Wage Floors Lagged Behind Rising Living Standards?mentioning
confidence: 99%
“…7 We follow the EU-SILC methodological literature (eg. Eurofound 2014, Berger and Schaffner 2015, Fernández-Macías and Vacas-Soriano 2016, Salverda and Rook 2023 in identifying a comparable sub-sample of full-time equivalent wage-earners as the basis of our indicative distribution of gross wages. From this distribution, we use the tenth and fifth percentiles as proxies for effective and absolute wage floors (see Haapanala et al 2023).…”
Section: Have Wage Floors Lagged Behind Rising Living Standards?mentioning
confidence: 99%
“…We follow established procedures in the literature (for example, Berger and Schaffner, 2015; Eurofound, 2014; Fernández-Macías and Vacas-Soriano, 2016; Salverda and Rook, 2023) in deriving our approximations of the hourly wage distribution as our primary level of analysis. Our sample consists of individuals aged 18–65 in full-time dependent employment, with information on annual gross incomes from employment (PY010 G), employment status (PL031), number of months worked full-time (PL073) and hours usually worked per week (PL060).…”
Section: Datamentioning
confidence: 99%
“…Truncation results in shifting the sample average away from the population average, which should be taken into account to provide unbiased β estimates if this is the case (see Cameron and Trivedi 2005). comparability across countries (see, among others, Berger and Schaffner 2015;Krell et al 2017), EU-SILC remains the main dataset for monitoring poverty and well-being in the EU.…”
Section: Data and Sample Constructionmentioning
confidence: 99%