diff --git a/scoping_review.qmd b/scoping_review.qmd index 5333a8c..af16167 100644 --- a/scoping_review.qmd +++ b/scoping_review.qmd @@ -497,6 +497,7 @@ bib_df["income group"] = bib_df["country"].map(df_country_groups.set_index("Econ bib_df["region"] = bib_df["country"].map(df_country_groups.set_index("Economy")["Region"]) ``` + ```{python} #| label: fig-publications-per-year #| fig-cap: Publications per year @@ -603,9 +604,9 @@ Income inequality is the primary type of inequality interrogated in most of the This follows the identified lens income inequality can provide through which to understand other inequalities --- many studies use income measurements and changes in income or income inequality over time as indicators to understand a variety of other inequalities' linkages through. -{{++ TODO: describe inequality types with complete dataset ++}} +{{++ TODO: describe inequality type distribution for overall dataset ++}} -# Synthesis of Evidence +# Synthesis of Evidence --- a multitude of lenses This section will present a synthesis of evidence from the scoping review. The evidence will be presented by type of policies and world regions. @@ -619,18 +620,8 @@ the following synthesis will first categorize between the main inequality (or co ## Income inequality through a vertical lens One of the primary lenses through which policy interventions to reduce inequalities in the world of work are viewed is that of income inequality, often measured for all people throughout a country or subsets thereof. +At the same time, the primacy of income should not be overstated as disregarding the intersectional nature of inequalities may lead to adverse targeting or intervention outcomes, as can be seen in the following studies on policies to increase overall income equality. -Income and gender - -income and racial/ethnicity - -income and disability - -income and spatial - -income and age - -{{++ first describe income inequ as vertical then view it through horizontal lenses of other inequalities ++}} @Alinaghi2020 conduct a study using a microsimulation to estimate the effects of a minimum wage increase in New Zealand on overall income inequality and further disaggregation along gender and poverty lines. It finds limited redistributional effects for the policy, with negligible impact on overall income inequality and the possibility of actually increasing inequalities among lower percentile income households. Additionally, while it finds a significant reduction in some poverty measures for sole parents that are in employment, when looking at sole parents overall the effects become insignificant again.