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Economy-energy-environment (E3) modelling

I have worked with and developed post-Keynesian, input-output based dynamic macroeconomic models, often with an energy-emission extension. I have started out working with E3ME - a global, post-Keynesian E3 model established in the 1970s at the University of Cambridge and maintained by Cambridge Econometrics. And FTT - a suite of sectoral-level diffusion/innovation models originally developed by Jean-Francois Mercure of the Exeter Climate Policy group.

In the last two years, however, I have mostly focused on developing a new, open-source, MRIO-based E3-type model called MINDSET in the World Bank. MINDSET has two versions: MINDSET 1.0, which I have mostly applied, and MINDSET 2.0, which I was leading the development of. MINDSET 2.0 has been released as a set of working papers and the source-code of the model is partially released on Github.

I have applied these models, and other tools of economic/labour market analysis to a variety of topics, some examples are:

Competitiveness and resilience (business economics)

For a long while I have collaborated with Attila Chikan, David Losonci and Erzsebet Czako who lead the Competitiveness Research Centre at Corvinus University. David and Erzsebet were my PhD supervisors. Together we have worked on topics of firm-level business economics as well as on questions of general competitiveness and economic resilience.

Competitiveness in this space is understood a bit differently than in the space of macroeconomics. By competitiveness we generally refer to factors or capabilities of the firms that make them capable to compete, i.e., measure their performance with regards to processes complementing an outcome based measurement.

Crucially, I also wrote my PhD dissertation combining topics from this space, with a focus on resilience related to the COVID-19 pandemic and the induced economic shock.