feat(data): Extract Wong2019

02-data/intermediate/SAMPLE.bib

@@ -13924,7 +13924,10 @@ does NOT look at specific policy interventions}
   usage-count-last-180-days = {3},
   usage-count-since-2013 = {33},
   web-of-science-categories = {Development Studies; Economics},
-  keywords = {country::Ecuador,inequality::age,inequality::gender,inequality::income,inequality::poverty,region::LAC,relevant,TODO::full-text,type::minimum\_wage},
+  keywords = {country::Ecuador,done::extracted,inequality::age,inequality::gender,inequality::income,inequality::poverty,region::LAC,relevant,type::minimum\_wage},
+  note = {looks at LM adjacency; PI 
+\par
+outcome variables are absolute, not looking at INEQUALITY outcomes (only income increase/decrease)},
   file = {/home/marty/Zotero/storage/CERW8FCC/Wong_2019_Minimum wage impacts on wages and hours worked of low-income workers in Ecuador.pdf}
 }
 

02-data/processed/relevant/Wong2019.yml

@@ -0,0 +1,59 @@
+author: Wong, S. A. 
+year: 2019
+title: "Minimum wage impacts on wages and hours worked of low-income workers in Ecuador"
+publisher: World Development
+uri: https://doi.org/10.1016/j.worlddev.2018.12.004
+pubtype: article
+discipline: development
+
+country: Ecuador
+period: 2011-2014
+maxlength: 12
+targeting: implicit
+group: wage workers
+data: national employment survey (ENEMDU)
+
+design: quasi-experimental
+method: difference-in-difference approach; relies on GINI coeff for inequality
+sample: 1_624_422
+unit: individual
+representativeness: national
+causal: 1 # 0 correlation / 1 causal
+
+theory:
+limitations: some small sort-dependency in panel data; can only account for effects in period of economic growth
+observation:
+  - intervention: minimum wage
+    institutional: 1
+    structural: 1
+    agency: 0
+    inequality: income
+    type: 0 # 0 vertical / 1 horizontal
+    indicator: 1 # 0 absolute / 1 relative
+    measures: income
+    findings: significant increase on income of low-wage earners; larger effect for agricultural workers, smaller for women; potentially negative impact on income of high-earners
+    channels: income-compression effect
+    direction: 1 # -1 neg / 0 none / 1 pos
+    significance: 2 # 0 nsg / 1 msg / 2 sg
+  - intervention: minimum wage
+    institutional: 1
+    structural: 1
+    agency: 0
+    inequality: income
+    type: 0 # 0 vertical / 1 horizontal
+    indicator: 1 # 0 absolute / 1 relative
+    measures: hours worked
+    findings: significant effect on hours worked; no significant spillover effect on workers in control group; significant negative impact on female hours worked
+    channels: possibly decreased intensive margin for female workers; affecting lower income increase of women
+    direction: 1 # -1 neg / 0 none / 1 pos
+    significance: 0 # 0 nsg / 1 msg / 2 sg
+
+notes:
+annotation: |
+  A study looking at the impacts of minimum wage increases in Ecuador specifically on the income and hours worked of low-wage earners.
+  It finds that, generally, there was a significant increase on the income of low-wage earners and also a significant increase on wage workers hours worked which would reflect positively on a decrease in the country's income inequality.
+  At the same time, it finds some potential negative effects on the income of high earners, suggesting an income-compression effect as employers freeze or reduce high-earners wages to offset low-earners new floors.
+  The findings hide internal heterogeneity, however:
+  For income the effect is largest for agricultural workers while for women the effect is significantly smaller than overall affected workers.
+  For hours worked there is a significant negative impact on women's hours worked, a fact which may point to a decreased intensive margin for female workers and thus also affect their lower income increases.
+  Limitations of the study include some sort-dependency in their panel data and only being able to account for effects during a period of economic growth.

02-data/supplementary/lib.bib

@@ -14430,7 +14430,10 @@ does NOT look at specific policy interventions}
   usage-count-last-180-days = {3},
   usage-count-since-2013 = {33},
   web-of-science-categories = {Development Studies; Economics},
-  keywords = {country::Ecuador,inequality::age,inequality::gender,inequality::income,inequality::poverty,region::LAC,relevant,TODO::full-text,type::minimum\_wage},
+  keywords = {country::Ecuador,done::extracted,inequality::age,inequality::gender,inequality::income,inequality::poverty,region::LAC,relevant,type::minimum\_wage},
+  note = {looks at LM adjacency; PI 
+\par
+outcome variables are absolute, not looking at INEQUALITY outcomes (only income increase/decrease)},
   file = {/home/marty/Zotero/storage/CERW8FCC/Wong_2019_Minimum wage impacts on wages and hours worked of low-income workers in Ecuador.pdf}
 }
 

scoping_review.qmd

@@ -638,6 +638,15 @@ Additionally, while it finds a significant reduction in some poverty measures fo
 The authors suggest this points to bad programme targeting, which at best has negligible positive impact on income equality and at worst worsens income inequality in lower income households, due to may low-wage earners being the secondary earners of higher-income households but low-wage households often having no wage earners at all.
 A pertinent limitation of the study includes its large sample weights possibly biasing the impacts on specific groups such as sole parents and thus being careful not to overestimate their significance.
 
+In a study on the impacts of minimum wage increases in Ecuador @Wong2019 specifically looks at the income and hours worked of low-wage earners to analyse the policies effectiveness.
+The study finds that, generally, there was a significant increase on the income of low-wage earners and also a significant increase on wage workers hours worked which would reflect positively on a decrease in the country's income inequality.
+At the same time, it finds some potential negative effects on the income of high earners, suggesting an income-compression effect as employers freeze or reduce high-earners wages to offset low-earners new floors.
+The findings hide internal heterogeneity, however:
+For income the effect is largest for agricultural workers while for women the effect is significantly smaller than overall affected workers.
+For hours worked there is a significant negative impact on women's hours worked, a fact which may point to a decreased intensive margin for female workers and thus also affect their lower income increases.
+Limitations of the study include some sort-dependency in their panel data and only being able to account for effects during a period of economic growth.
+Thus, while overall income inequality seems well targeted in the intervention, it may exacerbate the gender gap that already existed at the same time.
+
 ## Gender inequality
 
 Gender inequality is the second most reviewed dimension of workplace inequality in the study sample,