fix(data): Rename maternity leave to paid leave

To reflect a) the possibility of gender-less paid leave and b) the child-care
not just being maternal but possible for other relations.
This commit is contained in:
Marty Oehme 2023-12-14 19:08:09 +01:00
parent f51505a57c
commit b0308600a2
Signed by: Marty
GPG key ID: EDBF2ED917B2EF6A
3 changed files with 3 additions and 3 deletions

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@ -23,7 +23,7 @@ causal: 1 # 0 correlation / 1 causal
theory: theory:
limitations: can not account for child-care costs; can not fully exclude selection bias into motherhood; potential (down-ward) bias through pre-birth labor supply effects/financial crisis limitations: can not account for child-care costs; can not fully exclude selection bias into motherhood; potential (down-ward) bias through pre-birth labor supply effects/financial crisis
observation: observation:
- intervention: paid leave - intervention: paid leave (childcare)
institutional: 1 institutional: 1
structural: 1 structural: 1
agency: 0 agency: 0

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@ -23,7 +23,7 @@ causal: 0 # 0 correlation / 1 causal
theory: scarce high-level academic female representation through 'leaky pipeline' theory: scarce high-level academic female representation through 'leaky pipeline'
limitations: fragmented data restricting observable variables; doest not account for atypical/short-term contracts limitations: fragmented data restricting observable variables; doest not account for atypical/short-term contracts
observation: observation:
- intervention: maternity leave - intervention: paid leave (childcare)
institutional: 0 institutional: 0
structural: 1 structural: 1
agency: 1 agency: 1

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@ -16,7 +16,7 @@ data: national administrative panel survey British Household Panel Survey (BHPS)
design: observational design: observational
method: observational methods with counterfactual approach method: observational methods with counterfactual approach
sample: 5500 sample: 5500
unit: households unit: household
representativeness: subnational, rural representativeness: subnational, rural
causal: 1 # 0 correlation / 1 causal causal: 1 # 0 correlation / 1 causal