Digital Transition in Social Security - Definition and design of the strategic vision associated with simulation models for evaluating public policies
Reference
-
Period
05/2023 to 11/2023
Duration
6 Months
Funding body
Institute of Informatics, I.P.
Website
-
Summary
In the context of the Digital Transition of Social Security, a measure included in the Recovery and Resilience Plan (PRR), the aim is to design a public policy evaluation simulator in order to train a number of institutions within the Ministry of Labor, Solidarity and Social Security (MTSSS), namely the Social Security Institute, I.P. (ISS), the Strategy and Planning Office (GEP) and the General Secretariat (SG), to carry out planning functions (including programming, evaluation and monitoring of policies and programs in the areas of planning, evaluation and monitoring). (ISS), the Strategy and Planning Office (GEP) and the General Secretariat (SG), in the exercise of planning functions (including financial programming), evaluation and monitoring of policies and programs in the areas of intervention of the MTSSS (labour market, qualifications, income, poverty and inequalities, solidarity and social security), as well as in solutions for accessing and providing data/information. Considering also the current context of growing complexity of economic and social challenges and the importance of complementing different levels of analysis - macro, meso and micro - as well as the importance of substantiating and giving credibility to decision-making processes, and progressively improving the design and implementation of policy measures, the use of a broad and complementary set of tools to assess the impacts (quantitative and qualitative) of interventions is increasingly justified.
This complementarity between different models is also justified by the fact that each of them has strengths and weaknesses and may be more focused on specific aspects of the reality to be assessed and the timing (design, implementation, results). Despite being partial equilibrium models, they have been shown to be robust in estimating impacts in different economic or institutional contexts, as well as in assessing the costs/benefits associated with a political reform, by aggregating microeconomic data.
Results
(ongoing)