feat(data): Extract Militaru2019

02-data/intermediate/SAMPLE.bib

@@ -9247,7 +9247,7 @@ does NOT look at results of specific policy interventions}
   usage-count-last-180-days = {2},
   usage-count-since-2013 = {16},
   web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies},
-  keywords = {country::Romania,inequality::income,region::EU,relevant,TODO::full-text,type::minimum\_wage},
+  keywords = {country::Romania,done::extracted,inequality::income,region::EU,relevant,type::minimum\_wage},
   file = {/home/marty/Zotero/storage/XKYLD9XQ/Militaru et al_2019_Assessing minimum wage policy implications upon income inequalities.pdf}
 }
 

02-data/processed/relevant/Militaru2019.yml

@@ -0,0 +1,45 @@
+author: Militaru, E., Popescu, M. E., Cristescu, A., & Vasilescu, M. D. 
+year: 2019
+title: "Assessing minimum wage policy implications upon income inequalities: The case of Romania"
+publisher: Sustainability
+uri: https://doi.org/10.3390/su11092542
+pubtype: article
+discipline: economics
+
+country: Romania
+period: 2013-2014
+maxlength: 12
+targeting: explicit
+group: low-income workers
+data: EU Survey on Income and Living Conditions (EU-SILC)
+
+design: simulation
+method: microsimulation (EUROMOD); counterfactual analysis
+sample: 7500
+unit: household
+representativeness: national
+causal: 0 # 0 correlation / 1 causal
+
+theory:
+limitations: dependent on simulation order; can not account for tax evasion, behavioural changes; over-representation of employees in sample; remaining unobservables on inequality outcomes
+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: Gini coeff
+    findings: small decrease in wage inequality; larger impact for women
+    channels: concentration of workers at minimum wage level matters, women make up larger part; increase in number of wage earners in total number of employees
+    direction: -1 # -1 neg / 0 none / 1 pos
+    significance: # 0 nsg / 1 msg / 2 sg
+
+notes: does not see minimum wage increase as most efficient income inequality reduction policy per se, but sees efficiency possibly enhanced by accompanying skills development programs
+annotation: |
+  An analysis of the effects of minimum wage increases on income inequality in Romania.
+  It finds that, generally, minimum wage increases correlate with small wage inequality decreases, but carry a larger impact for women.
+  The channels for the policies effects are two-fold in that there is an inequality decrease as the number of wage earners in total number of employees increases, 
+  as well as the concentration of workers at the minimum level mattering --- the probable channel for a larger impact on women since they make up larger parts of low-income and minimum wage households in Romania.
+  Limitations to the study are some remaining unobservables for the final inequality outcomes (such as other wages or incomes), the sample over-representing employees and not being able to account for any tax evasion or behavioural changes.

02-data/supplementary/lib.bib

@@ -9580,7 +9580,7 @@ does NOT look at results of specific policy interventions}
   usage-count-last-180-days = {2},
   usage-count-since-2013 = {16},
   web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies},
-  keywords = {country::Romania,inequality::income,region::EU,relevant,TODO::full-text,type::minimum\_wage},
+  keywords = {country::Romania,done::extracted,inequality::income,region::EU,relevant,type::minimum\_wage},
   file = {/home/marty/Zotero/storage/XKYLD9XQ/Militaru et al_2019_Assessing minimum wage policy implications upon income inequalities.pdf}
 }
 

scoping_review.qmd

@@ -674,7 +674,13 @@ Minimum wage contributed 16.6% of the effect to overall Gini reduction between t
 The authors argue that this highlights the way even non-spatial policies can have a positive (or, with worse targeting or selection, negative) influence on spatial inequalities,
 as transfers occurring predominantly to poorer regions and minimum wages having larger impacts in those regions created quasi-regional effects without being explicitly addressed in the policies.
 Some limitations include limited underlying data only making it possible to estimate the cash transfer impacts for the analysis end-line,
-and minimum wage effects having to be constructed from the effects wages equal to minimum-wage.
+and minimum wage effects having to be constructed from the effects wages equal to minimum wage.
+
+@Militaru2019 conduct an analysis of the effects of minimum wage increases on income inequality in Romania.
+They find that, generally, minimum wage increases correlate with small wage inequality decreases, but carry a larger impact for women.
+The channels for the policies effects are two-fold in that there is an inequality decrease as the number of wage earners in total number of employees increases,
+as well as the concentration of workers at the minimum level mattering --- the probable channel for a larger impact on women since they make up larger parts of low-income and minimum wage households in Romania.
+Limitations to the study are some remaining unobservables for the final inequality outcomes (such as other wages or incomes), the sample over-representing employees and not being able to account for any tax evasion or behavioural changes in the model.
 
 @Cieplinski2021 undertake a simulation study on the income inequality effects of both a policy targeting a reduction in working time and the introduction of a UBI in Italy.
 It finds that while both decrease overall income inequality, measured through Gini coefficient, they do so through different channels.