Our New Article "Inequalities in the home learning environment during the pandemic: a closer look at Syrian refugee children’s home learning environment in Türkiye prior to COVID-19" is Published
The home learning environment of children became critical during the COVID-19 school closures, and already-existing deprivations of children increased inequalities in access to education during the COVID crisis. This study documents the home learning environment for the Turkish host community and Syrian refugee children in the pre-pandemic year. In order to achieve this end, a composite home learning environment (HLEQI) is calculated using the Demographic Health Survey (DHS) in Türkiye, which includes a sample of Syrian children. This study reveals that Syrian children were already burdened with disadvantages regarding their home learning environment quality, with the average HLEQI calculated for Turkish children as 61.7% and Syrian children at 36.5%. Moreover, when examining the individual components of this composite index, our study reveals substantial gaps in the supportive home learning environment for both Turkish and Syrian children, with the latter facing even greater challenges. These gaps span across various dimensions of the composite index, encompassing aspects such as access to remote learning infrastructure, adequate study space at home, and quality interaction with adults. The study underscores the need for targeted interventions to address these disparities and ensure an equitable learning environment for all children, regardless of their background or circumstances.
Our New Report on Documentation of Education Response in Türkiye during the COVID-19 Pandemic and its Effect on Children's Access to and Retention in Education is Published
The report, "Documentation of Education Response in Türkiye during the Covid-19 Pandemic and its Effect on Children's Access to and Retention in Education", prepared for UNICEF Türkiye, presents a comprehensive examination of the education landscape during the COVID-19 pandemic in Türkiye, drawing on a range of data sources and utilizing a combination of quantitative and qualitative research methods. It provides valuable insights into the challenges faced by various stakeholders, learning losses experienced by children, risk factors for school dropouts, socioeconomic influences on school attendance, barriers to education access, implemented policies and programs, and recommendations for further policy development, implementation, and programming.
The Development Analytics Interactive Social Policy Simulator (ISPS)
Development Analytics has designed the Interactive Social Policy Simulator (ISPS) to allow policy-makers to effectively design and expand social protection. Without writing a single line of code, ISPS empowers policy-makers to design more cost-effective policies in several domains, including cash transfer targeting, service provision, and predictive modelling for early-warning systems.
Development Analytics Research and Evaluation Portfolio on Women’s Empowerment
and Care Policies
Expanding access to quality and affordable child care offers to be a beneficial investment for countries as it helps improving children’s foundational skills while also enhancing women’s empowerment through enabling women to participate in the labour force. Over the last decade, Development Analytics has carried out several studies looking specifically at childcare policies and programmes and their ability to improve the overall well-being of children and their families. These studies were carried out for partners and clients including the World Bank, UNICEF, AfD, Foundation for the Support of Women’s Work (KEDV) and The Mother-Child Education Foundation (AÇEV).
Development Analytics' Turkey-Syria Earthquake Fundraising Campaign
As the Development Analytics Team, we are deeply saddened by the devastating earthquakes that hit Turkey and Syria last week. The scale of the tragedy and the size of the area covered is huge and in terms of the estimated death toll reaches 200,000 - though official figures at the moment are a fraction of this level. The population affected by the earthquake has immediate shelter and food needs. Turkey Mozaik Foundation works with local NGOs in the field to provide this support.
Predicting School Dropouts Using Machine Learning and Household Panel Data as an Early Warning System in Malawi
Dropping out of school is often not a sudden action but a culmination of various factors pushing children to leave school. For this reason, it is very important to pre-emptively identify students at risk and take preventive measures to improve school retention rates over time. Especially in modelling early warning systems, machine learning has recently proved to be a promising approach to identifying students at risk of dropout and informing preventive policy interventions for education staff and policymakers. However, the current focus on using administrative data with ML applications also restricts the scope of these applications in data-scarce countries, where data collection and management systems are relatively more prone to financial and technical constraints.
Our New Report on the Livelihoods and Vulnerabilities of Refugees in Turkey Right Before and During the Pandemic is published
The report, “Evaluative Learning Study for Phase III of the Emergency Social Safety Net (ESSN) Assistance for Refugees in Turkey”, prepared by Development Analytics for The International Federation of Red Cross and Red Crescent Societies (IFRC), documents the livelihoods and vulnerabilities of refugees in Turkey and focuses on the period between October 2018 and December 2021.
Development Analytics Studied the Feasibility of Using Digital ID and Alternative Data Sources to Support the Financial Inclusion of Refugees in Turkey through a Project Financed by EBRD
Development Analytics studied the feasibility of using digital ID and alternative data sources to support the financial inclusion of refugees in Turkey through a project financed by the European Bank for Reconstruction and Development (EBRD). The project "Exploring the Use of Digital ID and Big Data for the Financial Inclusion of Refugees in Istanbul" aimed to raise awareness of the key stakeholders among Turkish authorities and financial institutions to incite action that enhances Turkey's refugee response to financial inclusion, examined their approaches and provided alternative digital identity solutions to overcome challenges with the support of frontier technologies.
Development Analytics has entered a Long-Term Arrangement (LTAS) with UNICEF on the Provision of High-Quality Technical Expertise on Child Poverty and Social Protection
Development Analytics has recently entered a Long-Term Arrangement (LTAS) with UNICEF on the Provision of High-Quality Technical Expertise on Child Poverty and Social Protection. Under this LTA, we stand ready to support UNICEF Country Offices in the period 2022-2025 on analytical work related to Integrated Programme Areas and Inclusive Social Protection.
Learnings from the Targeting Methods Used in The EU’s Emergency Social Safety Net (ESSN) Cash Transfer Programme for Refugees in Turkey
Our article “Cash transfers: learning from the EU programme in Turkey”, distilling Development Analytics’ learnings from the projects carried out since 2017 related to the Emergency Social Safety Net (ESSN) cash transfer in Turkey, is published in the Forced Migration Review (FMR). Published by the Refugee Studies Centre in the Oxford Department of International Development, University of Oxford, FMR is the most widely read publication on forced migration globally. In recent years, in Turkey, Development Analytics has taken key roles in several programme evaluations related to the ESSN: the mid-term evaluation of the Facility for Refugees in Turkey (the Facility/FRIT) (2019-2021), mid-term evaluation of the ESSN transfer (2017-2018) and mid-term review of the ESSN transfer (2019-2020). Our work in this context resumed this year as well through two different research studies carried out for The International Federation of Red Cross and Red Crescent (IFRC) and related to ESSN Phase III.
A New Publication: Does Quality Matter in Determining Child Care Prices? Evidence from Private Child Care Provision in Turkey
Our associate Didem Pekkurnaz, and the Development Analytics team members Meltem A. Aran and Nazli Aktakke have published an article entitled "Does quality matter in determining child care prices? Evidence from private child care provision in Turkey". The paper was published in the International Journal of Child Care and Education Policy in September 2021.
Development Analytics Supports UNICEF Country Offices for Estimating the Impact of COVID-19 on Child Poverty and Costing of Cash Transfer Scenarios Targeting Households with Children
Development Analytics has recently concluded three microsimulation projects to allow decision-makers to forecast the possible outcomes of various policy scenarios to alleviate the negative impact of the COVID pandemic. In this capacity, our team worked with a number of UNICEF country offices, including Georgia, St Lucia, and Turkey, to estimate the pandemic’s impact on the monetary poverty of children and possible poverty reducing impact of alternative cash transfer scenarios. Development Analytics provided UNICEF country offices with interactive dashboards as well, that makes it easier to see the results in a dynamic way and increases the usefulness and effectiveness of the research for government counterparts.