Analysing the Gender Wage Gap Using Personnel Records of a Large German Company
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Analysing the Gender Wage Gap Using Personnel Records of a Large German Company. / Pfeifer, Christian; Sohr, Tatjana.
Bonn : Forschungsinstitut zur Zukunft der Arbeit, 2008. (IZA-Discussion Paper; No. 3533).Research output: Working paper › Working papers
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TY - UNPB
T1 - Analysing the Gender Wage Gap Using Personnel Records of a Large German Company
AU - Pfeifer, Christian
AU - Sohr, Tatjana
PY - 2008/6
Y1 - 2008/6
N2 - We use monthly personnel records of a large German company to analyse the gender wage gap (GWG). Main findings are: (1) the unconditional GWG is 15 percent for blue-collar and 26 percent for white-collar workers; (2) conditional on tenure, entry age, schooling, and working hours, the GWG is 13 percent for blue-collar as well as for white-collar workers; (3) after additionally controlling for hierarchical levels, the GWG is less than 4 percent for bluecollar and 8 percent for white-collar workers; (4) Oaxaca decompositions reveal that theunexplained part of the GWG is 87 percent for blue-collar workers and 46 percent for whitecollar workers; (5) males have larger absolute wage growths than females; (6) the relative GWG gets larger with tenure for blue-collar but smaller for white-collar workers; (7) individual absenteeism has no significant impact on the GWG; (8) the gender gap in absenteeism is between 26 and 46 percent. Overall, the results are consistent with statistical discriminationexplanations of the gender wage gap, though we cannot rule out other forms ofdiscrimination. A simple model within the context of absenteeism and statistical discrimination is offered.
AB - We use monthly personnel records of a large German company to analyse the gender wage gap (GWG). Main findings are: (1) the unconditional GWG is 15 percent for blue-collar and 26 percent for white-collar workers; (2) conditional on tenure, entry age, schooling, and working hours, the GWG is 13 percent for blue-collar as well as for white-collar workers; (3) after additionally controlling for hierarchical levels, the GWG is less than 4 percent for bluecollar and 8 percent for white-collar workers; (4) Oaxaca decompositions reveal that theunexplained part of the GWG is 87 percent for blue-collar workers and 46 percent for whitecollar workers; (5) males have larger absolute wage growths than females; (6) the relative GWG gets larger with tenure for blue-collar but smaller for white-collar workers; (7) individual absenteeism has no significant impact on the GWG; (8) the gender gap in absenteeism is between 26 and 46 percent. Overall, the results are consistent with statistical discriminationexplanations of the gender wage gap, though we cannot rule out other forms ofdiscrimination. A simple model within the context of absenteeism and statistical discrimination is offered.
KW - Economics
KW - Absenteeism
KW - gender
KW - personnel data
KW - statistical discrimination
KW - wage differentials
KW - Gender and Diversity
M3 - Working papers
T3 - IZA-Discussion Paper
BT - Analysing the Gender Wage Gap Using Personnel Records of a Large German Company
PB - Forschungsinstitut zur Zukunft der Arbeit
CY - Bonn
ER -