• A novel estimate of Greece’s social discount rate (SDR) for HTA is presented. • The study applies an extended Ramsey formula with Greek-specific input data. • Empirical estimates are based on taxation, mortality, GDP growth, and risk data. • The calculated SDR is 3.42%, tested through comprehensive sensitivity analyses. • Methodology is replicable for other countries using public macroeconomic data. : Health Technology Assessment (HTA) is a cornerstone of evidence-based decision-making in healthcare, with Economic Evaluation (EE) constituting an integral part of this process. A key methodological parameter in EEs is the discount rate, which allows for consistent valuation of future costs and benefits. In this study, we use Greece as a case study to provide an empirically grounded estimation of a country-specific social discount rate (SDR), combining international best practices with national economic conditions, projections and societal preferences. : For the analysis, we employ the Social Rate of Time Preference framework via an extended version of the Ramsey formula. The model parameters, i.e. pure rate of time preference, elasticity of marginal utility of consumption, expected per capita consumption growth, and the variance of consumption growth, were estimated based on national datasets on mortality, taxation, GDP growth, and demographic trends. The base-case estimate of the SDR was tested for robustness through a series of one-way sensitivity analyses (OWSA). : The base-case estimate for the SDR in Greece was 3.42%. The OWSA revealed that the SDR was mostly influenced by variations in expected per capita consumption growth and pure rate of time preference. This study provides an empirically grounded estimate of a country-specific social discount rate for Greece. The estimated value, lies well within interanationally used ranges in EEs while our analysis underlines the importance of macroeconomic evidence and trends as well as highlights the need of future/periodic reassessments of the SDR to maintain alignment with economic and societal changes.
Building similarity graph...
Analyzing shared references across papers
Loading...
Kostas P Athanasakis
Marios Athanasios Loupas
I Kyriopoulos
Health Policy and Technology
London School of Economics and Political Science
University of West Attica
Building similarity graph...
Analyzing shared references across papers
Loading...
Athanasakis et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69a75d3bc6e9836116a26e86 — DOI: https://doi.org/10.1016/j.hlpt.2026.101169
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: