... The research is based on data from 130 countries over the period 2000–2022 and using instrumental variable quantile regression. Findings The findings indicate that access to clean cooking increases the share of women in wage and salaried employment and enhances gender equality in this category of work...

... that returns to education increase with the level of education and are highest at the tertiary level. Quantile regression estimates reveal that returns to education vary across income levels within regions, suggesting a necessity for tailored policy interventions. Additionally, individuals’ health conditions...

... Publishing Limited Licensed re-use rights only Fiscal policy Income inequality Quantile regression Asymmetry SA Following the COVID-19 pandemic, global income inequality has continued to rise, particularly in the developing world (Ravallion, 2014 ; Badur et al., 2023). Available...

... and human capital development on poverty eradication and has contributed to academic and practical understandings of poverty eradication strategies. Poverty Institutional quality FDI inflows Human capital development Quantile regression Despite policymakers' efforts to alleviate poverty...

... at the -digit level is built with the objective of analyzing the occupational distribution across countries. Then, quantile regressions (QRs) are estimated to explore in detail which factors are affecting the wages of both females and males; in particular, this paper pays special attention to female...

... life expectancy, male life expectancy, female life expectancy and risk of maternal death. The empirical evidence is based on quantile regressions (QRs) in order to put into perspective the conditional distribution of economic growth. Findings The following findings are established: (1) total life...

... used. Quantile regression was used to investigate factors affecting labourers' deprivation in the different domains of non-monetary welfare. Findings Labourers on cocoa farms are generally deprived in all the welfare indicators. Apart from having low education, labourers were underfed and lived...

... and share of employment automatable jobs is asymmetric in nature. Design/methodology/approach The responses obtained from the structured interview of 265 firms are used to build up the empirical models (conditional mean regression and quantile regression). Findings The conditional mean regression...

.../approach Structured questionnaire was used to elicit primary data for the study from 385 respondents via the multistage sampling approach. The quantile regression model was used to analyse the factors that influence the willingness to contribute towards food banks across quantiles of contribution. Factor...

.... Thereafter, the Quantile Regression Decomposition using Machado and Mata approach is applied in order to see the gap at different levels of the wage distribution. Findings The main finding indicates that in both methods, the wage gap is due to an unexplained component in self-employment and explained...

.... Furthermore, the adopted approach proposes a new application for the correction of sample bias in the context of quantile regression by employing a logit multinomial, and using the Demographic Census data. Francieli Tonet Maciel can be contacted at: francieli.tonet@gmail.com 24 02 2017 09 07...

...Tita Anthanasius Fomum; Aziakpono Meshach Jesse Purpose The purpose of this paper is to explore the feasibility of asset-building social welfare in South Africa using the FinScope (2014) consumer survey data set. This is achieved using quantile regression technique to examine how financial...

.../methodology/approach – A quantile regression approach is employed while controlling for the unobserved heterogeneity. Principal component analysis is also used to reduce the dimensions of highly correlated variables. Findings – With the legal origin fundamental characteristic, the following findings...