Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats

In this paper, we link findings from a demographically representative discrete choice experiment (DCE) in eight European countries on the adoption of smart thermostats with an agent-based model (ABM) methodologically consistent way. We employ ABM to simulate diffusion pattern until 2030 and examine effects subsidies recommendations by specific agents. Our highlight importance allowing for within- across country heterogeneity preferences these policies technology attributes such as heating cost savings. Further, social interactions reinforce differences stock starting year simulations. find that moderately accelerate thermostats, but they are less effective large year, strong savings, when lead reduction costs. For some countries, targeting at particular socio-economic groups (in our case low-income households) slightly mitigates free-riding effects. policy simulations further imply energy providers or experts compared peers.