scholarly journals Inequality and Students’ PISA 2018 Performance: a Cross-Country Study

2021 ◽  
Vol 24 (3) ◽  
pp. 163-183
Author(s):  
Jiri Mazurek ◽  
Carlos Fernández García ◽  
Cristina Pérez Rico

The aim of this paper was to investigate the relationship between countries’ PISA study results from 2018 and a set of indices related to socio-economic inequality, such as the Gini index, human development index, or gender inequality index, along with purely economic variables, such as GDP per capita and government expenditure on education. The study covered 70 countries, consisting of 37 OECD countries and 33 non-OECD countries. Research methods included multivariate linear regression models, k-means clustering, and hierarchical clustering. Our findings revealed that the Gini index was statistically insignificant, indicating income inequality had little effect on students’ PISA performance. On the other hand, the gender inequality index was the single most statistically significant explanatory variable for both OECD and non-OECD countries. Therefore, our recommendation for policymakers is simple: increase students’ PISA performance, thus enhancing countries’ human capital and competitiveness, and focus on decreasing gender disparity and the associated loss of achievement due to gender inequality.

2016 ◽  
Vol 13 (3) ◽  
Author(s):  
Selay Giray ◽  
Özlem Yorulmaz ◽  
Bilge Başcı

Gender equality corrresponds to equal rights and opportunities of individuals based on their gender. However, gender inequality refers mostly  lack of women’s  economic and political empowerment. Socially constructed different gender roles can be observed mostly in daily life.  Gender inequality  which can be perceived as an important social dynamic affects the happiness of individuals and hence  happiness of society. In this study, the relationship between the sub indicators of Gender Inequality Index and Happines Index for OECD countries have been investigated using canonical correlation analysis based on both pearson correlation matrix and  MM  covariance estimator. As is known, canonical correlation analysis explores the relationships between two multivariate sets of variables. Findings indicate that there is a strong correlation between Gender Inequality Index and Happines Index. ÖzetToplumsal cinsiyet eşitliği kadınların ve erkeklerin, kız ve erkek çocuklarının eşit hak, sorumluluk ve fırsatlardan yararlanma hakkına sahip oldukları anlamına gelmektedir. Daha çok kadına yönelik cinsiyet eşitsizliği olarak yansıyan cinsiyet eşitsizliği ise kaynaklara ve fırsatlara ulaşmada eşitsizlik, iş hayatı ve siyasette kadının sınırlı olarak yer alması şeklinde tanımlanabilir. Cinsiyet eşitsizliğinin gündelik yaşamdaki yansıması en iyi çiftler arasındaki ilişkilerde ve toplumsal kültürel yapıda gözlenebilmektedir. Toplumsal dinamik olarak önemli bir faktör olan cinsiyet eşitsizliği doğrudan bireylerin mutluluğu ve dolayısıyla toplumun mutluluğu üzerinde oldukça etkilidir. Bu çalışmada OECD ülkelerine ait Cinsiyet eşitsizliği indeksi bileşenleri  ve mutluluk indeksi bileşenleri arasındaki ilişki Pearson korelasyon matrisi ve dayanıklı (robust) MM kovaryans tahmincisine dayalı kanonik korelasyon analizleri ile incelenmiştir. Bilindiği gibi kanonik korelasyon analizi, değişken setleri arasındaki ilişki incelenirken kullanılan bir çok değişkenli analiz tekniğidir. Her iki yaklaşıma göre elde edilen bulgular mutluluk indeksi ve cinsiyet eşitsizliği indeksi arasında güçlü bir ilişkiye işaret etmektedir.


2021 ◽  
Author(s):  
Md Arifur Rahman

Abstract The paper studies the relationship between the aggregate economic growth and the macroeconomic variables during the period 1977-2016. A first-order autocorrelation in the dependent and independent variables was detected. The residuals of the ordinary least squares (OLS) model were also affected by heteroscedasticity. By applying multiple econometric estimation techniques, the study finds that annual consumption growth, government expenditure growth, and gross savings to GDP ratio are the most statistically significant macroeconomic variables in explaining the change in aggregate economic growth.


Author(s):  
Damián Vergara

AbstractDo policies and institutions matter for pre-tax income inequality? I build an annual panel of 43 countries for the period 1980–2016 to document cross-country facts. I find robust correlations between pre-tax income shares and economic policy—financial development, trade openness, government expenditure, and income taxation—even after controlling for economic development. I further find that proxies of institutional quality—e.g., state development, corruption, or political exclusion—mediate the relationship between top income shares and economic policy, in particular for trade openness and government expenditure. The role of institutions in allowing or limiting rent-seeking can rationalize the results.


2011 ◽  
Vol 26 (3) ◽  
pp. 147-159
Author(s):  
Kim Eun Ji ◽  
Kim Sang Heon

Although many studies have dealt with the relationship between government expenditure and economic growth, none has been able to pinpoint its exact nature. Recently, however, new efforts have been made to find new factors or variables that moderate the relationship. This paper investigates a new moderating variable, interest group activity, as suggested by Kim (forthcoming). According to cross-country data analysis, the interaction term between government expenditure and interest group activity plays a significant role. Government expenditure has been estimated to have a positive effect on economic growth when interest groups are inactive, and a negative impact on growth when interest groups are active.


2021 ◽  
pp. 001112872199182
Author(s):  
Matthew D. Moore ◽  
Mark H. Heirigs ◽  
Allison K. Barnes

Inequalities have received a fair amount of study from criminologists interested in homicide and crime. The vast majority of the examinations exploring the relationship between inequality and homicide and crime have examined income inequality. Nonetheless, feminist theorists have stated that gender inequality may be predictive of all violence, not just female victimization. The UNDP gender inequality index was replicated for states in the United States and applied to overall, male, and female homicide rates. The findings demonstrate that increased gender inequality is predictive of increased overall, male, and female homicide. These findings illustrate that gender inequality is predictive of overall, male, and female homicide victimization.


2020 ◽  
Vol 4 (1) ◽  
pp. 86-102
Author(s):  
Tasnim Rehna ◽  
Rubina Hanif ◽  
Muhammad Aqeel

Background: Widespread social paradigms on which the status variances are grounded in any society, gender plays pivotal role in manifestation of mental health problems (Rutter, 2007). A hefty volume of research has addressed the issue in adults nonetheless, little is vividly known about the role of gender in adolescent psychopathology. Sample: A sample of 240 adolescents (125 boys, 115 girls) aging 12-18 years was amassed from various secondary schools of Islamabad with the approval of the Federal Directorate of Education (FDE), relevant authorities of the schools and the adolescents themselves. Instruments: Taylor Manifest Anxiety Scale (Taylor & Spence, 1953) and Children’s Negative Cognitive Errors Questionnaire (CNCEQ) by Leitenberg et al., (1986) were applied in present study. Results: Multiple regression analysis revealed that cognitive errors jointly accounted for 78% of variance in predicting anxiety among adolescents. Findings also exhibited that gender significantly moderated the relationship between cognitive errors and adolescent anxiety. Implications of the findings are discoursed for future research and clinical practice.


2016 ◽  
Vol 4 (2) ◽  
pp. 183 ◽  
Author(s):  
Latife Sinem Sarul ◽  
Özge Eren

Gender Inequality Index is a major indicator presenting level of development of the countries as Human Development Index, which is calculated regularly every year by UN. In this study, an alternative calculation has been proposed for measuring gender inequality index which is an important barrier for the human development. Each indicator in the index integrated as MAUT- AHP and also AHP-TOPSIS and these methods carried out again for the alternative ranking member and candidate countries of the European Union. The main objective here is to represent that the indicators form gender inequality index can be reclassified with different weights for each indicator.


1997 ◽  
Vol 36 (4II) ◽  
pp. 855-862
Author(s):  
Tayyeb Shabir

Well-functioning financial markets can have a positive effect on economic growth by facilitating savings and more efficient allocation of capital. This paper characterises some of the recent theoretical developments that analyse the relationship between financial intermediation and economic growth and presents empirical estimates based on a model of the linkage between financially intermediated investment and growth for two separate groups of countries, developing and advanced. Empirical estimates for both groups suggest that financial intermediation through the efficiency of investment leads to a higher rate of growth per capita. The relevant coefficient estimates show a higher level of significance for the developing countries. This financial liberalisation in the form of deregulation and establishment and development of stock markets can be expected to lead to enhanced economic growth.


2019 ◽  
Author(s):  
Mark Somerville ◽  
Sarah E. MacPherson ◽  
Sue Fletcher-Watson

Camouflaging is a frequently reported behaviour in autistic people, which entails the use of strategies to compensate for and mask autistic traits in social situations. Camouflaging is associated with poor mental health in autistic people. This study examined the manifestation of camouflaging in a non-autistic sample, examining the relationship between autistic traits, camouflaging, and mental health. In addition, the role of executive functions as a mechanism underpinning camouflaging was explored. Sixty-three non-autistic adults completed standardised self-report questionnaires which measured: autistic traits, mental health symptoms, and camouflaging behaviours. In addition, a subset (n=51) completed three tests of executive function measuring inhibition, working memory, and set-shifting. Multiple linear regression models were used to analyse data. Results indicated that autistic traits are not associated with mental health symptoms when controlling for camouflaging, and camouflaging predicted increased mental health symptoms. Camouflaging did not correlate with any measure of executive function. These findings have implications for understanding the relationship between autistic traits and mental health in non-autistic people and add to the growing development of theory and knowledge about the mechanism and effects of camouflaging.


Sign in / Sign up

Export Citation Format

Share Document