Dissecting the digital divide: A household fixed effects approach to estimating gender gaps in digital skills of youth in low- and middle-income economies.

This study investigates gender gaps in digital skills among youth (15-24 years old) in 32 low- and middle-income economies using data from UNICEF-supported and internationally comparable Multiple Indicator Cluster Surveys (MICS). Utilizing a household fixed effects approach, we aim to isolate gender-based disparities from household-level variations. The intra-household analysis reveals significant inequalities, with biases against young women in possessing digital skills, including the very basic ones.

Bullying in the Russian Secondary School: Predictive Analysis of Victimization.

Bullying has been recognized as an important risk factor for personal development in adolescence. Although numerous studies report high prevalence of bullying in Russian schools, limited research was based on the large-scale, nationally representative analysis, which highlights the lack of findings applicable to the national context. This study aims to address the following research questions: (1) What is the bullying victimization prevalence in Russian secondary schools? (2) What is the socio-demographic profile of the bullying victims? (3) To what extent do learning outcomes in core subject domains predict bullying? (4) How does psychological climate at school affect the occurrence of bullying? (5) Which emotional states do bullying victims typically display? (6) Which psychosocial traits are the most common for bullying victims? The study adopts the statistical analysis of the Programme for International Student Assessment (PISA) data in Russia.

How many students could continue learning during COVID-19-caused school closures? Introducing a new reachability indicator for measuring equity of remote learning.

This paper proposes a new reachability indicator to analyze the effectiveness of remote learning policies adopted by ministries of education in response to school closures caused by the COVID-19 pandemic. The indicator provides the share of students that can potentially be reached by remote learning policies given the availability of necessary household assets such as radios, televisions, computers and internet access. The results of this analysis outline the stark inequities in access to remote learning, suggesting that at a minimum, more than 30 % of schoolchildren globally cannot be reached by remote learning policies due to the high variation in access to assets for remote learning that exists within and between the world regions.