Development Analytics Microsimulation Models and Interactive Web Applications

August 2022


Development Analytics Microsimulation Models and Interactive Web Applications

Development Analytics has recently designed interactive web applications for UNICEF, The International Federation of Red Cross and Red Crescent (IFRC) and The World Food Programme (WFP). These interactive tools have allowed our clients to visualise and experiment with the results of household surveys, change parameters, adjust programme inputs (based on cost and cost-effectiveness measures), and predict the probable outcomes of various social policy scenarios. These unique tools are connected with micro datasets and make real-time calculations based on the selections of our clients. As a result, they make it possible for policymakers to interact with statistical models without the need for advanced coding techniques with a better comprehension of the evidence we present and the probable consequences of their policy decisions. With our interactive web applications, policymakers and implementers can directly interact with data from the field while observing the social impact of different policy scenarios and fine-tuning their policy decisions. 

Our social policy analysis tools empower policymakers to design more cost-effective policies in several domains, including cash transfer targeting, service provision and predictive modelling for early-warning systems. Previously, DA has designed these web applications in several programme and policy analyses in response to diverse policy needs and approaches of our clients, including but not limited to:


  • Microsimulation Model for Estimating the Impact of COVID-19 on Child Poverty in St Lucia: The web application we designed for this study has allowed UNICEF St Lucia and the Ministry of Equity, Social Justice and Empowerment to explore the impact of different shock levels of COVID-19 and the impact of the cash transfer scenarios at varying levels after a total shock level. The web application connects with the Survey of Living Conditions and Household Budgets (SLC-HBS) as the primary data source and makes real-time calculations to allow the users to compare scenarios with each other presenting various outcomes at its interface, including benefit incidence, population poverty, child poverty, inequality, total costs and cost-effectiveness.​

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  • Targeting Analysis Study for the Emergency Social Safety Net (ESSN) Assistance for Refugees in Turkey: For this study, the tailor-made web application was designed to present the outcomes of various universal, categorical and proxy-means testing for targeting where IFRC and TRC could select i) which targeting approach to adapt, ii) whom to specifically target in as a household member in eligible households, iii) how large cash transfer they would like to allocate for each eligible beneficiary, and iv) what type of dependency ratio they would like to use for categorical targeting. Connected with the web application interface, our client could select a combination of those various options, and the web application provided the probable outcomes of their targeting decisions such as benefit incidence, headcount poverty ratio and coverage using the Intersectoral Vulnerability Household Survey. Interactive tables and visualisations at the interface of the application also supported them to have flexibility in playing with the data and comprehending the results.


If you would like to learn more about our interactive web applications and policy simulations, you can click to register your interest.