chore(repo): Simplify directory structure
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data/supplementary/extraction_template.yml
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data/supplementary/extraction_template.yml
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author:
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year:
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title:
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publisher:
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uri:
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pubtype: article
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discipline:
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country:
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period:
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maxlength:
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targeting:
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group:
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data:
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design:
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method:
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sample:
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unit:
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representativeness:
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causal: # 0 correlation / 1 causal
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theory:
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limitations:
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observation:
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- intervention:
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institutional:
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structural:
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agency:
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inequality:
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type: # 0 vertical / 1 horizontal
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indicator: # 0 absolute / 1 relative
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measures:
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findings:
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channels:
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direction: # -1 neg / 0 none / 1 pos
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significance: # 0 nsg / 1 msg / 2 sg
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notes:
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annotation: |
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data/supplementary/findings-agency.csv
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data/supplementary/findings-agency.csv
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area of policy,findings,channels,studies
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direct transfers,evidence for increasing gender equality,lifted credit constraints and debt dependency increases employment probability,Emigh2018;Shin2006;Standing2015;Clark2019;Hojman2019
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,,requires effective targeting to disadvantaged women
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,,can counter negative rtw effects of childbirth
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,evidence for reduction of absolute poverty,positive short-term effects but mixed evidence long-term,Emigh2018;Bartha2020
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individual microfinance,evidence for increased gender equality,increased personal economic security and household decision-making long-term,Al-Mamun2014;Field2019
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,,can decrease local discriminatory gender norms
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,,constrained by loan obtainment abilities through individual focus
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data/supplementary/findings-institutional.csv
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data/supplementary/findings-institutional.csv
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area of policy,findings,channels,studies
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minimum wage,mixed evidence for short-/medium-term income inequality impacts,can lead to income compression at higher-earner ends,Wong2019;Sotomayor2021;Alinaghi2020;Gilbert2001
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,some evidence for long-term inequality decrease,job loss offsets through higher wages,Sotomayor2021;Chao2022;SilveiraNeto2011
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,,some spatial transfer from urban manufacturing sectors to rural agricultural sectors
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,bad targeting can exacerbate existing inequalities,negative effect on women's hours worked if strong household labour divisions,Alinaghi2020;Wong2019;Militaru2019
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,,low-earners sometimes secondary high-income household earners while low-wage households have no earners at all
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,"potential impact larger for single parents, rural/disadvantaged locations",women more affected if they make up large share of low-wage earners,Alinaghi2020;Gilbert2001;SilveiraNeto2011
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labour regulation,mixed evidence for effects of labour regulation on income inequality ,with lacking institutional capabilities no effective targeting possible,Adams2015;Broadway2020;Davies2022;Dustmann2012
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paid leave,evidence for significant increase in rtw after childbirth,esp. disadvantaged women benefit due to no prior employer-funded leave,Broadway2020;Dustmann2012;Davies2022
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,some evidence for positive rtw effects to occur with medium-/long-term time delay,short-term exit but no long-term increase to hiring pattern discrimination,Broadway2020;Dustmann2012
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,,can exacerbate existing household labour division
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,mixed evidence for fixed-/short-term contracts counter-acting effect on rtw,fixed-term contracts often insufficiently covered by otherwise applicable labour regulation,Davies2022;Mun2018
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collective bargaining,evidence for decreased income inequality with strong unionisation,stronger collective political power vector enables more equal redistributive policies,Alexiou2023;Cardinaleschi2019
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,,"increased probability for employment on formal, standard employment contract"
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,marginal evidence for increased income/representation of women/minorities in workforce/management,internal heterogeneity due to predominantly affecting median part of wage distribution,Ferguson2015;Ahumada2023
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,,self-selection of people joining more unionised enterprises/organisations/sectors
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,,"depending on targeting of concurrent policies can bestow more benefits on men, increasing horizontal inequalities"
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workfare programmes,evidence for decrease of vertical inequality,,Whitworth2021;Li2022
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,evidence for possibility of increased spatial inequalities,bad targeting increases deprivations for already job-deprived areas,Whitworth2021
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,evidence for effective outcomes dependent on on prior material equalities,prior inequalities such as land ownership can lead to political capture and less effective policies,Li2022
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social protection,evidence for conditional cash transfers producing short- and long-term inequality reduction,production of short-term cash influx,Debowicz2014;Standing2015
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,,conditioning on school attendance can decrease educational inequalities over long-term
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,mixed evidence for childcare subsidies decreasing gender inequalities,lifting credit constraints greater effect on low-income households,Hardoy2015;Debowicz2014;Clark2019;Hojman2019
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,evidence for stagnating income replacement rates exacerbating existing vertical inequalities,benefit levels unlinked from wages can widen division between income groups,Wang2016
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,healthcare subsidy impacts strongly dependent on correct targeting,dependence on non-participation in labour market may generate benefit trap,Carstens2018
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data/supplementary/findings-structural.csv
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data/supplementary/findings-structural.csv
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area of policy,findings,channels,studies
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trade liberalisation,evidence for slightly negative effects on income equality,highly dependent on targeting/micro-economic factors,Xu2021;Khan2021;Liyanaarachchi2016;Rendall2013
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,,increase in sectorial wage differences
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,,growing income gap if transfers to low-income households do not rise with liberalisation
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,evidence for reduction of absolute poverty,,Rendall2013;Liyanaarachchi2016
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,mixed evidence for effect of FDI on long-term income equality,requires incentive structure to directly connect local business with outside economies,Adams2015;Xu2021
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,,correctly targeted FDI can generate low-skill agricultural employment
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fiscal policies,evidence for wage/firm subsidies increasing income equality,effective targeting crucial to reach disadvantaged sectors,Wang2020;Go2010;Rendall2013;Cieplinski2021
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,,wage subsidy increases formal employment but can lead to wage compression
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,evidence for wage/firm subsidies to reduce absolute poverty,lifting of credit constraints through income gains,Go2010
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techn. change,evidence for legal contraceptive access increasing gender income equality,"educational attainment, occupational upgrading and later labour market exit",Bailey2012
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infrastructure,evidence for increase in spatial equality,increased employment probability through large-scale rural energy projects,Kuriyama2021
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,mixed evidence for increase of existing inequalities,elite policy capture can exacerbate existing social exclusion & disadvantages,Kuriyama2021;Stock2021
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,mixed evidence for transport infrastructure effects on income inequality,deficit-/tariff-financing can exacerbate spatia inequality,Blumenberg2014;Adam2018
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,,transit-rich area creation alone not enough for employment gains
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access to education,evidence for increasing income equality,human capital building,Adams2015;Bailey2012;Pi2016;Suh2017;Emigh2018
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,,occupational upgrading and increased probability for formal employment
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,evidence for increasing gender and spatial income equality ,gendered occupational upgrading can decrease gender pay gap,Xu2021;Mukhopadhaya2003;Pi2016;Bailey2012;Suh2017
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,,education alone necessary but not sufficient condition for increased FLFP
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,,higher overall access but more inequal access can generate new inequalities
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,evidence for increased employment equality for people with disabilities,increased employment probability and hours worked,Shepherd-Banigan2021;Gates2000;Poppen2017;Thoresen2021;Rosen2014
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,,strong remaining intersectional gender inequalities require effective targeting
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data/supplementary/inclusion-criteria.tsv
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data/supplementary/inclusion-criteria.tsv
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Parameter Inclusion criteria Exclusion criteria
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Time frame study published in or after 2000 study published before 2000
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Study type primary research opinion piece, editorial, commentary, news article, literature review
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Study recency most recent publication of study gray literature superseded by white literature publication
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Study data evidence-based study or based on empirical approach no empirical approach or not clearly based on evidential data
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Study focus effects on inequality/equality as primary outcome (dependent variable) neither inequality nor equality outcomes as dependent variable
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policy measure or strategy as primary intervention (independent variable) no policy measure/strategy as intervention or relationship unclear
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specifically relates to some dimension of world of work exists outside world of work for both independent and dependent variables
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focus on dimension of inequality in analysis no focus on mention of inequality in analysis
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data/supplementary/justified.docx
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data/supplementary/justified.docx
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data/supplementary/query.txt
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data/supplementary/query.txt
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TS=
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(
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(
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work OR
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labour OR
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production of goods OR
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provision of services OR
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own-use OR
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use by others OR
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of working age OR
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for pay OR
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for profit OR
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remuneration OR
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market transactions
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) AND
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(
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(
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own-use OR
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employment OR
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unpaid trainee OR
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volunteer OR
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other work activities OR
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wage-employed OR
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self-employed OR
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formal work OR
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informal work OR
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domestic work OR
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care work OR
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unpaid work
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) OR
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(
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employment outcomes OR
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labour rights OR
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equality of oppoertunity OR
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equality of outcome OR
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labour force participationOR
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labour force exit OR
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job quality OR
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career advancement OR
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hours worked OR
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wage OR
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salary OR
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return to work
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)
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)
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) AND
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TS=
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(
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(
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intervention OR
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policy OR
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participation OR
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targeting/targeted OR
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distributive OR
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redistributive
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)
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AND
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(
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(
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support for childcare OR
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labour rights OR
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minimum wage OR
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collective bargaining OR
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business sustainability promotion OR
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work-life balance promotion OR
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equal pay for work of equal value OR
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removal of (discriminatory) law OR
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law reformation OR
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guaranteed income OR
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universal basic income OR
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provision of living wage OR
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maternity leave
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)
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OR
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(
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cash benefits OR
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services in kind OR
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green transition OR
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infrastructure OR
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digital infrastructure OR
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quality of education OR
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public service improvement OR
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lowering of gender segregation OR
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price stability intervention OR
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extended social protection scheme OR
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comprehensive social protection OR
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sustainable social protection OR
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supported employment OR
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vocational rehabilitation
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)
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OR
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(
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credit programs OR
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career guidance OR
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vocational guidance OR
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vocational counselling OR
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counteracting of stereotypes OR
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commuting subsidies OR
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housing mobility programs OR
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encouraging re-situation/migration OR
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encouraging self-advocacy OR
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cognitive behavioural therapy OR
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computer-assisted therapy OR
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work organization OR
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special transportation
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)
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)
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) AND
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TS=
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(
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(
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inequality OR
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inequalities OR
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barriers OR
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advantaged OR
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disadvantaged OR
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discriminated OR
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disparity OR
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disparities
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)
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NEAR/5
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(
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(
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income OR
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"Palma ratio" OR
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"Gini coefficient" OR
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class OR
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fertility OR
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"bottom percentile" OR
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"top percentile"
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)
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OR
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(
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identity OR
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demographic OR
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gender OR
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colour OR
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beliefs OR
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racial OR
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ethnic OR
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migrant OR
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spatial OR
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rural OR
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urban OR
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mega-cities OR
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"small cities" OR
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"peripheral cities" OR
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age OR
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nationality OR
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ethnicity OR
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"health status" OR
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disability OR
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characteristics
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)
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)
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)
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data/supplementary/terms_inequality.csv
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data/supplementary/terms_inequality.csv
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General,Vertical,Horizontal
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inequality,income,identity
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barrier,Palma ratio [@DFI2023],demographic
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advantaged,Gini coefficient [@DFI2023],gender
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disadvantaged,Log deviation,colour
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discriminated,Theil,beliefs
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disparity,Atkinson,racial
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horizontal inequality,class [@Kalasa2021],ethnic
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vertical inequality,fertility [@Kalasa2021],migrant
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,bottom percentile,spatial
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,top percentile,rural
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,,urban
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,,mega-cities
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,,small cities
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,,peripheral cities
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,,age
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,,nationality
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,,ethnicity
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,,health status
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,,disability
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,,characteristics
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data/supplementary/terms_policy.csv
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data/supplementary/terms_policy.csv
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General,Institutional,Structural,Agency
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intervention,support for childcare [@Perez2022],cash benefits,credit programs [@Perez2022]
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policy,labour rights,services in kind,career guidance
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participation,minimum wage,green transition,vocational guidance [@Nevala2015]
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targeting/ targeted,collective bargaining,infrastructure,vocational counselling [@Nevala2015]
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distributive,business sustainability promotion,digital infrastructure,counteracting of stereotypes
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redistributive,work-life balance promotion,quality of education,commuting subsidies [@Perez2022]
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,equal pay for work of equal value,public service improvement,housing mobility programs [@Perez2022]
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,removal of (discriminatory) law,lowering of gender segregation,encouraging re-situation/migration [@Perez2022]
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,law reformation,price stability intervention,encouraging self-advocacy [@Nevala2015]
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,social dialogue,extended social protection scheme,cognitive behavioural therapy [@Lettieri2017]
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,guaranteed income [@Perez2022],comprehensive social protection,computer-assisted therapy [@Lettieri2017]
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,universal basic income [@Perez2022],sustainable social protection,work organization [@Nevala2015]
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,provision of living wage [@Perez2022],supported employment [@Lettieri2017],special transportation [@Nevala2015]
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,maternity leave [@Chang2021],"vocational rehabilitation [@Silvaggi2020; @Lettieri2017]",collective action
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,,unionization,
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data/supplementary/terms_wow.csv
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data/supplementary/terms_wow.csv
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General,Forms of work,Labour market outcomes
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work,own-use,employment outcomes
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labour,employment,labour rights
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production of goods,unpaid trainee,equality of opportunity
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provision of services,volunteer,equality of outcome
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own-use,other work activities,labour force participation [@Pinto2021]
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use by others,wage-employed,labour force exit [@Silvaggi2020]
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of working age,self-employed,job quality [@Finlay2021]
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for pay,formal work,career advancement [@Finlay2021]
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for profit,informal work,hours worked [@Finlay2021]
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remuneration,domestic work,wage
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market transactions,care work,salary
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,unpaid work,return to work [@Silvaggi2020]
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data/supplementary/un-deduplicated-study-counts.tsv
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data/supplementary/un-deduplicated-study-counts.tsv
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wos_combined 1643
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snowballing 2198
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Bishu2017 104
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Chamhuri2012 10
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Chang2021 23
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Crowther2001 17
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Curran2022 103
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deGeus2022 27
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Duflo2012 57
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Finlay2021 108
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Fortune2022 13
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Hackl2018 66
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Hanif2017 8
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Harsh2018 22
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Heymann2019 55
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Kinn2014 12
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Kolie2023 21
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Kulkarni2022 78
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Kumari2018 61
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Kumari2018_included 10
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Landsbergis2014 51
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Lau2023 175
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Lindsay2016 16
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Lindsay2018a 72
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McDowell2015 24
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Nandi2018 114
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Nevala2015 54
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Nevala2015_included 11
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Nevala2019 30
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Perez2022 131
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Pickett2015 108
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Pinto2021 83
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Psaki2022 63
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Ravindran2012 16
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Ray2017 49
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Rydenfalt2020 16
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Sarker2023 151
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Schaap2018 53
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Shaw2014 44
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vanderWal2021 17
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Winkel2021 88
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Zeinali2021 40
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data/supplementary/wb-country-groupings.xlsx
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data/supplementary/wb-country-groupings.xlsx
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