2005
DOI: 10.2139/ssrn.842504
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Theory and Evidence on the Glass Ceiling Effect Using Matched Worker-firm Data

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Cited by 3 publications
(4 citation statements)
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“…As these different studies highlight the potential role of firm's characteristics, the wage differential depending on the type of sector for instance, it may be important to take firm characteristics into account in the gender wage gap analysis [4]. Using a French employer-employee matched data set, Jellal et al (2007) provided quantile estimates of the magnitude of the glass ceiling effect, with controls for the firms' features in the various earnings equations. The results are two-fold.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…As these different studies highlight the potential role of firm's characteristics, the wage differential depending on the type of sector for instance, it may be important to take firm characteristics into account in the gender wage gap analysis [4]. Using a French employer-employee matched data set, Jellal et al (2007) provided quantile estimates of the magnitude of the glass ceiling effect, with controls for the firms' features in the various earnings equations. The results are two-fold.…”
Section: Literature Reviewmentioning
confidence: 99%
“…These findings clearly shed light on the important role played by firms' characteristics. As suggested in Jellal et al (2007), the omission of firm-specific factors may be harmful when estimating the magnitude of the wage gap and assessing the relevance of the glass ceiling effect.…”
Section: Quantile Regressions Estimatesmentioning
confidence: 99%
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“…Employees are most often reluctant to invest in women's training, for instance, because women have more favourable outside opportunities than men within the household. Jellal et al (2006) introduce uncertainty on the female productivity in a competitive labour market model. Women are likely to have more frequently interrupted careers (because of birth event for instance), and they may choose to quit the labour force either to spend time with children or to care for elderly parents.…”
Section: Introductionmentioning
confidence: 99%