2008
DOI: 10.1080/14649880701811401
|View full text |Cite
|
Sign up to set email alerts
|

Measuring Gender (In)Equality: The OECD Gender, Institutions and Development Data Base

Abstract: The Development Centre of the Organisation for Economic Co-operation and Development's Gender, Institutions and Development Data Base (GID-DB) is a new cross-country research tool with comprehensive measures of gender equality. It improves upon existing sources because it is the only data base on gender that systematically incorporates indicators of social norms, traditions and family law. The GID-DB thereby permits analysis of hypotheses that link cultural practices to gender equality, human development and e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
78
0
1

Year Published

2012
2012
2023
2023

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 101 publications
(80 citation statements)
references
References 9 publications
1
78
0
1
Order By: Relevance
“…The only exception to this pattern is the magnitude of financial expenditure, as, compared with men, women are less likely to be employed and more likely to earn less on the same jobs and raise children alone. 35,36 As reported in previous studies, there was evidence that family mental health conditions were associated with higher family burden than were physical conditions ''at the individual level'' 37,38 ; that is, in comparing the likelihood of a given caregiver experiencing burden as a function of whether their relative's illness was a mental disorder or a physical disorder. This finding is especially striking given that the analysis was biased against finding betweencondition differences in burden (as we asked respondents to tell us only about ''serious'' relative health problems), and we would expect this truncation of the severity distribution to reduce evidence of between-condition differences in burden.…”
Section: Discussionmentioning
confidence: 72%
“…The only exception to this pattern is the magnitude of financial expenditure, as, compared with men, women are less likely to be employed and more likely to earn less on the same jobs and raise children alone. 35,36 As reported in previous studies, there was evidence that family mental health conditions were associated with higher family burden than were physical conditions ''at the individual level'' 37,38 ; that is, in comparing the likelihood of a given caregiver experiencing burden as a function of whether their relative's illness was a mental disorder or a physical disorder. This finding is especially striking given that the analysis was biased against finding betweencondition differences in burden (as we asked respondents to tell us only about ''serious'' relative health problems), and we would expect this truncation of the severity distribution to reduce evidence of between-condition differences in burden.…”
Section: Discussionmentioning
confidence: 72%
“…One source for this is the OECD's Gender, institutions and development database (GID-DB), containing data for non-OECD countries for 2009 (Jütting et al 2008;OECD 2009). Because part of this dataset, and the resulting Social Institutions and Gender Index (SIGI), take into account 'family code' (consisting of indicators on early marriage, polygamy, parental authority, inheritance), this data is very well suited for comparisons with data on family practices.…”
Section: Family Practices Past and Presentmentioning
confidence: 99%
“…And do similar family systems appear from these two sources and from more recent data, such as the OECD's Gender, Institutions and Development Database (GID-DB; Jütting et al 2008;OECD 2009), the censuses available through IPUMS (Minnesota Population Center 2013) and the data of the World Values Survey?…”
Section: Introductionmentioning
confidence: 99%
“…In the same spirit, Branisa et al (2013) have created a social institutions and gender-related index (hereafter SIGI) which is an aggregate measure of the different indicators presented in Jütting et al (2008). Using cross-country data, Branisa et al (2013) have analyzed the effect of the SIGI on various development outcomes.…”
Section: Related Literaturementioning
confidence: 99%
“…Recently, Jütting et al (2008) have presented the OECD data from the Gender, Institutions and Development database that complements the existing gender discrimination indexes. This is the first data on gender inequality that takes into account different measures of social norms, traditions and family laws.…”
Section: Related Literaturementioning
confidence: 99%