What's in it for researchers and modellers?
As explained on the policy pages, both BRISKEE and CHEETAH are instrumental in giving guidance to policy makers and implementers who need to consider issues related to residential energy efficiency policies. Since many researchers and modellers work to support policy makers, this is obviously true also for these groups.
At the core of both projects is an unprecedented and vast set of empirical experimental data from real households – in total more than 30 000 households in eight EU countries, and this is a unique feature for these two projects.
The detailed survey data from BRISKEE (15 000 households in eight countries) are now publicly available [ADD LINK] for anyone who wants to do analysis on her or his own. But the analyses themselves are also useful for modellers since the output can be used in modelling work for other purposes as well.
The two projects
BRISKEE – Behavourial Response to Investment Risk in Energy Efficiency – investigates preferences of households, such as their approach to risk and the time it takes before an investment pays back, it then follows up with modelling and analyses of policies that address the residential sector. BRISKEE closed in 2017 and all results are available. The key outcomes are briefly summarized on the policy page, but for more detailed results please see the BRISKEE section on this web site.
CHEETAH – behavioural Response to Investment Risk in Energy Efficiency – looks into households in the same eight representative EU countries. However, the vantage point is different: it looks into various external barriers and considers directed policy interventions that can address those external barriers. Also for CHEETAH, more findings are found in the CHEETAH section of this web site.
Both projects provide analysis on three levels
On the micro-level, i.e., the level of individual households, two large surveys are at the core of each project, in order to gather empirical data from more than 30000 households. Agent-based modelling and econometric analysis is of interest for modelling and segmentation of households, and the in-depth understanding of time and risk preferences will also be useful as the starting point for other research on residential energy demand.
The meso-level analysesmodels household energy demand based on the micro-level insights. Here, different policy approaches directed to households can be tested to study the impacts on the energy system.
Finally, the macro-level analyseslooks into the consequences on European GDP, final aggregate demand etc, of these policies. They will be useful for anyone who looks into modelling EU energy demand and macro-economic consequences of these policies.