feat(data): Extract Wong2019

02-data/processed/relevant/Wong2019.yml

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+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.