DOES EDUCATION REDUCE INCOME INEQUALITY? A META-REGRESSION ANALYSIS

By A. Abdullah, Hristos Doucouliagos, Elizabeth Manning. 2015

263 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/afa859bae8d86c32a092f5f2458e1956bc2e62e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. B. Demena
2. Philipp Heimberger
3. Xuanming Ji
4. He Xu
5. Kun Wang
6. Muchen Li
7. P. Bergeijk

In Safety Research

1. B. Demena
2. Philipp Heimberger
3. P. Bergeijk

In Sociology and Political Science

1. Philipp Heimberger

Citations in the corpus

• A Meta-Analysis of FDI and Productivity Spillovers in Developing Countries (2017, background): “Next, the statistically most insignificant variables are removed, one at a time, until we arrive at a reduced/specific specification that contains significant variables only (Charemza and Deadman, 1997; Stanley and Doucouliagos, 2012; Abdullah et al., 2015; Wang and Shailer, 2015).”
• Does economic globalisation affect income inequality? A meta‐analysis (2020, background): “…of this paper but additional explanatory factors for explaining income inequality that feature prominently in the literature include education (e.g. Abdullah et al. 2015), skill-biased technological change (e.g. Card and diNardo 2002), the structure of the political system (e.g. Reuveny and Li…”
• Has Digital Financial Inclusion Narrowed the Urban-Rural Income Gap: The Role of Entrepreneurship in China (2021, background): “Income gap not only weakens residents’ happiness through “relative deprivation effect” and “comparison effect”, but also generates a negative impact on economic development and social and political stability [2,3].”
• DOES GOVERNMENT SPENDING AFFECT INCOME INEQUALITY? A META‐REGRESSION ANALYSIS (2017, unknown): “To better understand what drives this heterogeneity we follow Abdullah et al (2015) and adopt the following meta-regression model to explore heterogeneity in the reported estimates: 1 0r Z SEij k ki ij ij where r is the partial correlation coefficient expressing the link between a measure of…”
• Finance and income inequality in OECD countries (2015, unknown): “In a survey of the existing literature on education and income inequality, Abdullah et al. (2014) find that somewhat more than half of all empirical estimates indicate a positive relationship.”