REFRESH aims to provide new information on consumer and business performance applying behavioral economics approaches intended as the study of the influence that psychological, cognitive, emotional, heuristic and cultural considerations exert on economic agents’ (individuals, organizations) decisions. The identification and analysis of the socioeconomic conditions and driving factors that influence consumers’ choices and businesses’ decision in the creation and/or reduction of food waste, can support the design of more effective policy and market interventions to prevent and reduce food waste. Methodologically, the work takes advantage of different modelling approaches as Agent-Based Models (ABM) and Bayesian Networks (BN).

This work is part of a collection of reports on household food waste prediction for EU28, member countries and European regions. The collection consists of the methodological report "A roadmap to reduce food waste in Europe", which represents the theoretical base for two additional reports, "Pan-European scenarios of food waste levels" and this report "A pan-European simulation of selected interventions", where food waste scenarios for EU28 and for each European country are presented.

In particular, this report consists in a series of reports, based on the REFRESH roadmap tool developed in the methodological report, simulating estimates for household food waste levels under four different scenarios for each European country and for the whole EU28.

The first scenario represents the baseline REFRESH scenario developed with the roadmap tool and presented in "Pan-European scenarios of food waste levels".

The second scenario provides food waste predictions in a situation with an increase of income per capita, tertiary instruction level and national employment rate.

The third and the fourth REFRESH scenarios take into account the impact of an intervention reducing food waste of 10% of for the average household. REFRESH scenario three simulates the impact of a policy intervention on the baseline scenario, while REFRESH scenario four describes the impact of a policy intervention on REFRESH scenario two, where income per capita, tertiary instruction level and national employment rate are increased.