Development Analytics, 9 Marlborough Court, Oxford (2026)

Our main areas of study are poverty, education, health, social protection and the overall distributional impact of social policies. We specialize in large scale data analysis and statistical methods for social research. Our clients include central governments, international development organizations, NGOs (as well as corporate clients with a social responsibility vision). We provide our clients

with research and tools to (i) understand and diagnose social problems, (ii) devise programs to tackle these issues and (iii) to measure and rigorously evaluate their results.

12/06/2026

Estimating the economic value of unpaid care work

💡The invisible labour of caring for others has long been undervalued for its contribution to the economy, as it falls outside traditional definitions of work and is not included in national income accounts such as GDP. Globally, women contribute to 76% of total unpaid care work, leading to increased time poverty and reduced participation in the labour force.

📊 Acknowledging the economic significance of unpaid care work is essential for recognising its vital contribution. Estimating its value can offer valuable insights into the development of gender-transformative policies related to employment, labour, and leave worldwide.

🔍 In the past decade, Development Analytics has carried out several studies focusing on gender and childcare policies and programmes for partners and clients, including the World Bank, UNICEF, and AfD. DA’s extensive work in this area also includes estimating the economic value of unpaid care work in the household.

📊We estimate the economic value of unpaid care work by leveraging data from time-use surveys. By associating the time allocated to these activities with the monetary value of time in the labour market, we quantify the significant economic contribution of unpaid care work to society as a whole. Our estimations are disaggregated for women and men, emphasising gender disparities.

📖 Read more about our approach to estimating the economic value of unpaid care work and our previous work on gender and social policies here:
https://www.developmentanalytics.org/estimating-the-economic-value-of-unpaid-care-work

🔗 Or if you're interested in learning more about conducting a similar study in your country, click here to arrange a meeting:
https://form.jotform.com/241143437218956

05/06/2026

📰📌Publication Highlight

📊 Published in May 2026, UNICEF Innocenti’s Report Unequal Chances: Children and economic inequality offers a sobering but essential reminder: even in the world’s wealthiest countries, economic growth has not translated into equal opportunities for all children.

⚖️ The report highlights that child well-being (taken as physical health, mental well‑being and skills) across 44 high-income and OECD countries is deeply shaped by inequality. Children growing up in lower-income households are significantly more likely to experience poorer physical health, lower life satisfaction, and weaker educational and social outcomes. Importantly, the findings show that countries with higher economic equality tend to have better child well‑being in a number of aspects, reinforcing that prosperity alone is not enough without equality.

👶 Perhaps most striking is the persistence of child poverty in these contexts, affecting at least 1 in 10 children in every country studied, and far higher in some. The report underscores that reducing inequality and child poverty is not only a moral imperative but also central to improving national-level child well-being outcomes.

🔗 Read more about the report here: https://www.unicef.org/innocenti/reports/report-card-20

💡At Development Analytics, we work to turn evidence like this into actionable insights for policy and programming that reduce inequality and improve children’s outcomes.

🔗 Explore our work on tackling child poverty here: https://www.developmentanalytics.org/tackling-child-poverty

01/06/2026

As North Macedonia marks International Children’s Day today, we are reminded of the importance of continuing efforts to support children’s wellbeing and reduce child poverty in the country.

At Development Analytics, we are proud to have partnered with UNICEF North Macedonia on the study “Strengthening Child Benefits: Options to Enhance the Impact of Cash Benefits for Children”, contributing evidence to support discussions on how social protection systems can better protect children and families.

The study highlights a critical challenge: despite important social protection reforms, nearly 3 in 10 children in North Macedonia remain at risk of poverty. Using microsimulation analysis, our research examined alternative policy pathways to strengthen child-related cash benefits, improve coverage and adequacy, and reduce child poverty while remaining fiscally feasible.

Earlier this month, our Managing Director, Hazal Oz, presented the findings during the policy discussion “Investing in Children – Advancing Human Capital, Women’s Employment and Inclusive Growth” in Skopje, bringing together government representatives including the Minister of Social Policy, Demography and Youth, Fatmir Limani, and the State Secretary Fatmir Sabriu, UNICEF, development partners, academia, and civil society to discuss evidence-based options for strengthening support to children and families.

As North Macedonia continues to advance reforms, including discussions around expanding child benefits and exploring universal child allowance options, evidence remains essential for designing policies that are equitable, effective, and sustainable.

On this Children’s Day, we join partners in reaffirming a simple but powerful message:
🎯 Every child deserves the opportunity to grow, learn, and reach their full potential.
🎯 Stronger child-sensitive social protection systems are not only investments in children’s wellbeing today, but also investments in human capital, social inclusion, and the future prosperity of societies.

We thank UNICEF North Macedonia, the Ministry of Social Policy, Demography and Youth, the State Statistical Office, and all stakeholders who contributed to this important work.

UNICEF MK, Lesley Miller, Silvia Chiarucci, Aleksandar Nikolov, Pamela Dale.

📖 Read the study: https://www.unicef.org/northmacedonia/reports/strengthening-child-benefits-options-enhance-impact-cash-benefits-children

27/03/2026

Design of Shock-Responsive Social Protection Programmes

Disasters due to natural hazards, fueled by climate change, are driving millions into poverty annually, causing billions in economic damage and displacing thousands. Shock-responsive social protection schemes are crucial in mitigating these effects.

We have already partnered with various UNICEF offices to estimate shock impacts and cash transfer effectiveness. For countries including Türkiye, Azerbaijan, Bosnia and Herzegovina, Tajikistan, Georgia, St Lucia and Madagascar, our team has led pioneering research providing insights into the benefits of social protection programmes following different types of shocks, including earthquakes, floods and COVID-19.

Our approach doesn't stop at analysis; we're actively engaged in presenting the research through interactive web applications. Interactive Social Policy Simulator (ISPS) empowers stakeholders to explore the impact of shocks at different severity levels and examine the poverty alleviating impact of cash transfer scenarios that can be implemented after the shocks. The users can change the size of cash transfers and their targeting, compare and contrast the scenarios through examining several indicators and refine their decisions based on real-time data insights.

📖 Read more about our recent projects on estimating the impact of shocks and using various cash transfer modalities to alleviate their impact here: https://www.developmentanalytics.org/design-of-shock-responsive-social-protection-programmes

🔗 Or if you're interested in learning more about conducting a study in your country, click here to register your interest for a meeting, and we will get in touch with you: https://form.jotform.com/241062147859965

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http://www.developmentanalytics.org/

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