feat(data): Extract Chao2022

02-data/intermediate/relevant/Chao2022.yml

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+author: Chao, C.-C., Ee, M. S., Nguyen, X., & Yu, E. S. H. 
+year: 2022
+title: "Minimum wage, firm dynamics, and wage inequality: Theory and evidence"
+publisher: International Journal Of Economic Theory
+uri: https://doi.org/10.1111/ijet.12307
+discipline: economics
+
+country: global
+period: 2005-2015
+maxlength:
+targeting:
+group: formal workers
+data: WB Doing Business Survey, WDI, ILOSTAT
+
+design: quasi-experimental
+method: dual economy general-equilibrium model; Gini coefficient
+sample: 43
+unit: country
+representativeness: national
+causal: 1 # 0 correlation / 1 causal
+
+theory: Harris & Todaro rural-urban migration model
+limitations: decreasing inequality through increased rural agricultural capital, while reasonable, has to be a prior assumption; short-term firm exit has to be omitted
+observation:
+  - intervention: minimum wage
+    institutional: 1
+    structural: 0
+    agency: 0
+    inequality: income
+    type: 0 # 0 vertical / 1 horizontal
+    indicator: 0 # 0 absolute / 1 relative
+    measures: income
+    findings: short-term reduction of skilled-unskilled wage gap but increased unemployment, decreased welfare; long-term increased wage equality and improved social welfare
+    channels: firm exit from urban manufacturing increases capital to rural agricultural sector
+    direction: 1
+    significance: 2 # 0 nsg / 1 msg / 2 sg
+
+notes:
+annotation: |
+  A study looking at the effects of minimum wage increases on a country's income inequality, looking at the impacts in a sample of 43 countries, both LMIC and HIC.
+  Using a general-equilibrium model, it finds that there are differences between the short-term and long-term effects of the increase:
+  In the short term it leads to a reduction of the skilled-unskilled wage gap, however an increase in unemployment and welfare, 
+  while in the long term the results are an overall decrease in wage inequality as well as improved social welfare.
+  It finds those results primarily stem from LMIC which experience significant effects driven by a long-term firm exit from the urban manufacturing sector thereby increasing available capital for the rural agricultural sector, while in HIC the results remain insignificant.
+  The study uses the Gini coefficient for identifying a country's inequality.
+  Some limitations of the study include the necessity to omit short-term urban firm exit for the impact to be significant, as well as requiring the, reasonable but necessary, prior assumption of decreased inequality through increased rural agricultural capital.