fix(data): Change to more precise study inequalities

02-data/processed/prelim/Cardinaleschi2019.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 1
     structural: 1
     agency: 0
-    inequality: gender
+    inequality: gender; income
     type: 1 # 0 vertical / 1 horizontal
     indicator: 1 # 0 absolute / 1 relative
     measures: income shares

02-data/processed/prelim/Coutinho2006.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 1
     agency: 0
-    inequality: disability; gender; income
+    inequality: disability; gender; income; age
     type: 1 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: female employment ratio, female income ratio

02-data/processed/prelim/Ferguson2015.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 1
     agency: 1
-    inequality: gender
+    inequality: gender; ethnicity
     type: 1 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: employment

02-data/processed/prelim/Mukhopadhaya2003.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 1
     agency: 0
-    inequality: migration; generational; income
+    inequality: migration; generational; income; ethnicity
     type: 1 # 0 vertical / 1 horizontal
     indicator: 1 # 0 absolute / 1 relative
     measures: Gini coeff; Theil index; relative mean income

02-data/processed/relevant/Blumenberg2014.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 1
     agency: 0
-    inequality: spatial; gender
+    inequality: spatial; gender; ethnicity
     type: 1 # 0 vertical / 1 horizontal
     indicator: 1 # 0 absolute / 1 relative
     measures: employment rate
@@ -39,7 +39,7 @@ observation:
     institutional: 0
     structural: 1
     agency: 0
-    inequality: spatial; gender
+    inequality: spatial; gender; ethnicity
     type: 1 # 0 vertical / 1 horizontal
     indicator: 1 # 0 absolute / 1 relative
     measures: employment rate

02-data/processed/relevant/Emigh2018.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 1
     agency: 1
-    inequality: income
+    inequality: income; ethnicity; gender
     type: 0 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: poverty

02-data/processed/relevant/Field2019.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 0
     agency: 1
-    inequality: gender
+    inequality: gender; spatial
     type: 1 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: employment; hours worked

02-data/processed/relevant/Militaru2019.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 1
     structural: 1
     agency: 0
-    inequality: income
+    inequality: income; gender
     type: 0 # 0 vertical / 1 horizontal
     indicator: 1 # 0 absolute / 1 relative
     measures: Gini coeff

02-data/processed/relevant/Pi2016.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 1
     structural: 1
     agency: 0
-    inequality: income; migration
+    inequality: income; migration; ethnicity
     type: 1 # 0 vertical / 1 horizontal
     indicator: 1 # 0 absolute / 1 relative
     measures: decile ratios (90th to 10th)

02-data/processed/relevant/Poppen2017.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 1
     agency: 1
-    inequality: disability; gender
+    inequality: disability; gender; age
     type: 1 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: employment

02-data/processed/relevant/Rendall2013.yml

@@ -1,4 +1,4 @@
-author: Rendall, M. 
+author: Rendall, M.
 year: 2013
 title: "Structural change in developing countries: Has it decreased gender inequality?"
 publisher: World Development
@@ -23,7 +23,7 @@ causal: # 0 correlation / 1 causal
 theory: capital displacing production brawn (Galor & Weil 1996)
 limitations:
 observation:
-  - intervention: structural 
+  - intervention: trade liberalization (structural changes)
     institutional: 0
     structural: 1
     agency: 0
@@ -35,7 +35,7 @@ observation:
     channels: reduced requirement for physical labour (switching 'brawn' to 'brain'); switching to e.g. service-oriented labour
     direction: 1 # -1 neg / 0 none / 1 pos
     significance: 2 # 0 nsg / 1 msg / 2 sg
-  - intervention: structural 
+  - intervention: trade liberalization (structural changes)
     institutional: 0
     structural: 1
     agency: 0
@@ -54,7 +54,7 @@ annotation: |
   Basing its analysis on the theory of capital displacing brawn in production for transition economies, it finds that all countries had reduced brawn requirements over time, though with large heterogeneity: Thailand lead the change with 15 percentage points while India had the smallest change with 0.2 percentage points.
   Following this, there was the largest steady labour market participation inequality in India, while there were mixed results for Mexico and Thailand, with Brazil having female employment shares changes similar to that of the United States.
   The channels here are seen as a reduced requirement for physical labour replaced by for example more service-oriented economies ('brawn' to 'brain').
-  For female wage shares, in Brazil the wage gap closed most rapidly, though it began widening in 2005, while Thailand and India had converging but mixed changes. 
+  For female wage shares, in Brazil the wage gap closed most rapidly, though it began widening in 2005, while Thailand and India had converging but mixed changes.
   In Mexico, while the gap widened during the 1990s, it began closing again afterwards.
   The differences in wage gap effects compared to both other countries and the respective country's physical labour market requirements show that contextual structural changes played a large role in each case:
   with erstwhile reduced returns on Brazilian returns for brain intensive occupations, the introduction of a female-lead manufacturing sector in Mexico in the 90s, and widely diverging basic labour market skill structures in Thailand and India necessitating subsistence-oriented participation; the results show impacts of structural changes, though limited through a variety of mediating factors influencing each case.

02-data/processed/relevant/Rosen2014.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 0
     agency: 1
-    inequality: disability
+    inequality: disability; age
     type: 1 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: hours worked (rtw)

02-data/processed/relevant/Standing2015.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 1
     structural: 0
     agency: 1
-    inequality: income
+    inequality: income; ethnicity
     type: 0 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: debt
@@ -39,7 +39,7 @@ observation:
     institutional: 1
     structural: 0
     agency: 1
-    inequality: income
+    inequality: income; ethnicity
     type: 0 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: saving

02-data/processed/relevant/Suh2017.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 0
     structural: 1
     agency: 0
-    inequality: income; generational
+    inequality: income; generational; gender
     type: 1 # 0 vertical / 1 horizontal
     indicator: 1 # 0 absolute / 1 relative
     measures: employment

02-data/processed/relevant/Wong2019.yml

@@ -27,7 +27,7 @@ observation:
     institutional: 1
     structural: 1
     agency: 0
-    inequality: income
+    inequality: income; gender
     type: 0 # 0 vertical / 1 horizontal
     indicator: 1 # 0 absolute / 1 relative
     measures: Gini coeff
@@ -39,7 +39,7 @@ observation:
     institutional: 1
     structural: 1
     agency: 0
-    inequality: income
+    inequality: income; gender
     type: 0 # 0 vertical / 1 horizontal
     indicator: 0 # 0 absolute / 1 relative
     measures: hours worked