MétaCan
Menu
Back to cohort
Record W2952731636 · doi:10.2307/j.ctvbj7k3q.10

Wage discrimination at career entry in Switzerland:

2016· book-chapter· en· W2952731636 on OpenAlex
Kathrin Bertschy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVerlag Barbara Budrich eBooks · 2016
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsnot available
Fundersnot available
KeywordsWageLabour economicsDemographic economicsPsychologyEconomicsSociology

Abstract

fetched live from OpenAlex

In recent decades, it has been apparent that the educational and occupational pathways of women and men have been converging. Women, in particular, have benefited from the expansion of education and, with respect to the achievement of general education certificates, have advanced to the same level as men. While the educational attainment gap is closing, the gender gap in the workplace stubbornly persists. Our analysis shows that wage discrimination is not the result of different career paths, but already exists at career entry. “Productivity” variables like formal qualifications and skills do not have any direct impact on wages. Also, different values (e. g. extrinsic or intrinsic work orientation) or different risk preferences are unlikely to influence the wages at career entry. We conclude that the early wage discrimination is partly due to the persistent gender segregation in the Swiss labor market and education system, which stimulate early gender-typed occupational career decisions. Findings show a wage discrimination of 7.3% at career entry. Young women have lower earnings due to lower salaries in traditional female occupations and because of wage discrimination in gender-mixed occupations as well as in typically male professions. In highly segregated jobs, women in typical male-jobs often “choose” or get allocated to specific work contents that go together with lower compensation; men do the contrary in typical female-jobs. These niche activities are economically inefficient because training qualifies women for better paid activities. Young women do not choose or are not allocated to these activities they have trained for. Possible reasons for early wage gaps Unexplainable wage differentials at career entry might be slightly overestimated, and also within our data set. However, the majority of the inexplicable differences in wages are likely the result of discrimination. One possibility is the so-called “statistical” gender discrimination. Companies assume that sooner or later, women tend to reduce their working hours. From the start, these companies consciously or unconsciously pay lower salaries to women, assign them lower paying jobs, or do not admit them the same development in wages as for men. In sociological and economic theory, this effect is referred to as statistical discrimination, because a specific behavior (the one of the companies) is derived from observed probabilities (women reduce their employment more often than men due to parenting). This behavior of the companies discriminates against all women, including those not complying with this assessment and those not intending to reduce their workload, with or without children. Generous family-friendly policies, such as long maternity leaves and/ or part-time work protections, made it possible for more women to work. But they can also enforce statistical discrimination: Woman are more likely to work in low segment, lower paid jobs and less likely to be managers in countries with generous family-friendly policies, as shown by Blau and Kahn (2013) in a study comparing 22 countries. To avoid statistical discrimination, policies should be devised gender neutral. This is apparent in countries/regions including Iceland, Sweden and Quebec, where parental leave policies encourage both men and women to take time off for a new child. Apart from measures against education and labor market segmentation, gender-neutral state policies could thus help to close the early gender wage gap. Secondly, solidarity among men is also likely to play a role. In sociological theory, this behavior is known as discrimination theory, which states that “the same” or “the like” is preferred. As there are many more men than women in superior positions and as such, men more often make employment or wage decisions, they may prefer applicants or employees with similar characteristics, for example. This preferential treatment can also be unconsciously done. Implications Implications of gender wage gap on work and family and the persistence of gender inequalities can be manifold. In order to maximize household-production, young professionals in couple households quickly divide the paid and house work according to the traditional pattern Analyses with TREE-Data show that young couples divide household labor and paid work based on hourly wages. An unequal division of labor will be reinforced over time due to the different, statistically unjustifiable wage developments for men and women. From an economic point of view, and with regard to an optimal allocation of human resources, this development is economically inefficient. The lower incomes of women at career entry also cause these economically problematic dynamic trends. The interaction of all these effects is jointly responsible for the persistence of gender inequalities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.209
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it