The Role of Firms in the Gender Wage Gap in Germany

Annex A. Data annex

Table A.1. Data sources

	Name	Earnings data source	Sample structure	Longitudinal	Hourly wages	Worker skills	Time coverage
Denmark	IDA, IDAN, UDDA	Tax administration combined with register data	Universe	Yes	Yes	Occupation & Education	2001‑17
France	Déclaration annuelle des données sociales unifiée (DADS)	Mandatory employer survey	1/12th random worker sample	Yes	Yes	Occupation	2002‑17
Germany	SIEED (Sample of Integrated Employer-Employee Data)	Social security administration	1.5% random establishments sample	Yes	No	Education and Occupation	2002‑18
Netherlands	SPOLIS, POLIS, GBA, ABR and Hoogsteopltab.	Social security administration	Universe	Yes	Yes	Education (for about half of the sample)	2010‑19
Sweden	RAMS, LISA, Job Register. SES	Tax administration	RAMS: Universe. SES: 100% of the public sector; stratified sample covering 50% of all private sector firms	Yes	No, use of full-time equivalent	Education and Occupation	2001‑15