wow-inequalities/data/extracted/Cardinaleschi2019.yml

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cite: Cardinaleschi2019
author: Cardinaleschi, S., De Santis, S., & Schenkel, M.
year: 2019
title: "Effects of decentralised bargaining on gender inequality: Italy"
publisher: Panoeconomicus
uri: https://doi.org/10.2298/PAN1903325C
pubtype: article
discipline: economics
country: Italy
period: 2014
maxlength:
targeting:
group:
data: Linked Employer Employees Data from Structure of Earnings Survey
design: quasi-experimental
method: OLS; Oaxaca-Blinder & Juhn-Murphy-Pierce decompositions
sample:
unit: firm
representativeness: national; census
causal: 0 # 0 correlation / 1 causal
theory: gender endowment discrimination; glass ceiling wage-setting institutions
limitations: Only a short-term decomposition of mostly cross-sectional dataset
observation:
- intervention: collective action (collective bargaining)
institutional: 1
structural: 1
agency: 0
inequality: gender; income
type: 1 # 0 vertical / 1 horizontal
indicator: 1 # 0 absolute / 1 relative
measures: income shares
findings: collective negotiation practices address gender gap marginally significantly; need to be supplemented by policies considering human-capital aspects
channels: occupational segregation into feminized industries
direction: 1 # -1 neg / 0 none / 1 pos
significance: 1 # 0 nsg / 1 msg / 2 sg
notes:
annotation: |
A study on the wage gap in the Italian labour market, looking especially at the effects of collective negotiation practices.
It finds that the Italian labour market's wage gap exists primarily due to occupational segregation between the genders, with women often working in more 'feminized' industries, and not due to educational lag by women in Italy.
It also finds that collective negotiation practices targeting especially managerial representation and wages do address the gender pay gap, but only marginally significantly.
The primary channel for only marginal significance stems from internal heterogeneity in that only the median part of wage distributions is significantly affected by the measures.
Instead, the authors recommend a stronger mix of policy approaches, also considering the human-capital aspects with for example active labour-market policies targeting it.
A limitation of the study is the short-term explanatory power of its underlying dataset consisting of a cross-sectional decomposition.