@uit.ac.ma
Economics
Ibn Tofail University
Economics, Econometrics and Finance, Education, Economics and Econometrics, Development
This study aims to analyze the achievements of gifted students in school, with a focus on developing countries. The study is using the TIMSS, PIRLS, and PISA databases
This study aims to analyze the link between bullying at school and its impact on student outcomes. The study is using the TIMSS, PIRLS, and PISA databases.
Scopus Publications
Mariem Liouaeddine and Abderahman Oudad
Informa UK Limited
Hajar El-Fatouaki and Mariem Liouaeddine
Springer Nature Switzerland
Mariem Liouaeddine, Ayoub Saadi, Zakaria Mansouri, and Achraf Benchebtith
Informa UK Limited
ABSTRACT The main objective of this research is to evaluate the impact of governmental subsidy during COVID-19 on firms’ survival and sales in Senegal. To address this issue, we use data from a survey conducted in 2020 by the University of Cheikh Anta Diop of Dakar. The data include 814 companies from various sectors in Senegal. Given the nature of the data, we use the propensity score matching method. Our results show that the government support program had a negative impact on company sales dropping in Senegal, although it did have a positive impact on the temporary survival of companies during the crisis period. These findings reflect the negative impact of the crisis on businesses, particularly small and medium-sized enterprises, and highlight the need for specific policies and programs to support businesses.
Charaf-Eddine Moussir and Mariem Liouaeddine
Walter de Gruyter GmbH
Abstract In an increasingly complex international environment, the expansion of global capital flows, particularly foreign direct investment (FDI),has become an important catalyst in developing countries, in part due to a large and significant integration into global value chains (GVCs). Theoretically, the presence of multinationals in the host country is supposed to increase productivity, employment, wages, know-how, and technology of domestic firms. However, so far, the results in the empirical literature have been unclear, mainly due to the limited reliable and detailed enterprise-level data. As a result, in this paper we attempt to examine whether there is a significant difference between multinationals (MNE) and domestic firms in Morocco on a set of economic performance outcomes. To do so, we used firm-level data obtained from the World Bank Enterprise Survey for the year 2019, using a quasi experimental technique called propensity score matching (PSM). The results reveal that the difference between foreign-owned and domestic matched firms leads to a decrease in labor productivity, higher employment and non significant impact on wages. In addition, our findings indicate that the use of foreign certification shows a positive impact on the demand of skilled labor than for foreign ownership indicator.
Ayoub Saadi, Assane Beye, and Mariem Liouaeddine
Salesian Polytechnic University of Ecuador
This article aims to investigate the factors influencing the closure of informal businesses during the COVID-19 pandemic, with a specific focus on the differences between businesses led by women and men. The research employed a logistic regression approach and utilized the matching method to evaluate the pandemic’s impact. The study relied on a database created by the Development Policy Analysis Laboratory, Cheikh Anta Diop University, Dakar, which encompassed 923 informal businesses operating in diverse sectors in Dakar. The findings demonstrate that businesses managed by women experienced a more severe impact from the pandemic, leading to a higher likelihood of temporary closure. These results underscore the disproportionate effect of the crisis on women entrepreneurs within the informal sector and emphasize the necessity for tailored measures to support this vulnerable population during and after the pandemic. Such measures should address the unique challenges faced by women-led informal businesses and help foster their recovery and long-term sustainability
, Charaf-Eddine Moussir, Ayoub Saadi, Rachid Boukbech, and Mariem Liouaeddine
REF Press
Mariem Liouaeddine and Mohammed Bijou
EDP Sciences
The objective of this article is to show how multilevel modeling is a tool that is most appropriate to analyze clustred data in many field (education, business, environment, energy consumption etc.). Thus, we used this approach to analyze students' achievements in morocco using TIMSS database. The results show that several factors influence the academic performance of Moroccan students in mathematics such as student’s gender, Student’s SES and the principal's emphasis on students' success.
Mariem Liouaeddine, Mounir Elatrachi, and El mehdi Karam
Informa UK Limited
ABSTRACT This article aims to analyze the efficiency of primary education schools in Morocco using the database ‘Trends in International Mathematics and Science Study’ (TIMSS) in the fourth year of primary education compiled 2011 by the International Association for the Evaluation of Educational Achievement (IEA). The methodology of Data Envelopment Analysis ‘DEA’ is used to define the efficiency scores for each school. To participate in the debate on the inclusion or exclusion of non-discretionary inputs in the DEA, efficiency scores were also determined taking into account the socio-economic environment of the school. Also, the analysis of external factors that impact the efficiency scores is carried out using the ordered probit econometric model. Particular attention is paid to the characteristics of the student and parents. The results confirm the hypothesis that the socio-economic environment of the student has a significant impact on the efficiency of primary schools in Morocco.
Liouaeddine, M., Elatrachi, M., & Karam, E. M. (2018). The analysis of the efficiency of primary schools in Morocco: modelling using TIMSS database (2011). The journal of North African studies, 23(4), 624-647.
Bijou, M., & Liouaeddine, M. (2018). Gender and Students' Achievements: Evidence from PISA 2015. World Journal of Education, 8(4), 24-35.