From 73b96a757a7a9350879f229f0168581893fff88c Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Thu, 14 Dec 2023 17:42:41 +0100 Subject: [PATCH] feat(data): Extract Militaru2019 --- 02-data/intermediate/SAMPLE.bib | 2 +- 02-data/processed/relevant/Militaru2019.yml | 45 +++++++++++++++++++++ 02-data/supplementary/lib.bib | 2 +- scoping_review.qmd | 8 +++- 4 files changed, 54 insertions(+), 3 deletions(-) create mode 100644 02-data/processed/relevant/Militaru2019.yml diff --git a/02-data/intermediate/SAMPLE.bib b/02-data/intermediate/SAMPLE.bib index fbf0f7e..bbe041d 100644 --- a/02-data/intermediate/SAMPLE.bib +++ b/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} } diff --git a/02-data/processed/relevant/Militaru2019.yml b/02-data/processed/relevant/Militaru2019.yml new file mode 100644 index 0000000..d9f265f --- /dev/null +++ b/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. diff --git a/02-data/supplementary/lib.bib b/02-data/supplementary/lib.bib index 61df054..37995c0 100644 --- a/02-data/supplementary/lib.bib +++ b/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} } diff --git a/scoping_review.qmd b/scoping_review.qmd index b61b9aa..e44965e 100644 --- a/scoping_review.qmd +++ b/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.