Francesco Lamperti, Andrea Roventini and Amir Sani

Author Archive | Francesco Lamperti, Andrea Roventini and Amir Sani

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Agent-Based Model Calibration using Machine Learning Surrogates

Taking agent-based models (ABM) closer to the data is an open challenge. This paper explicitly tackles parameter space exploration and calibration of ABMs combining supervised machine-learning and intelligent sampling to build a surrogate meta-model. The proposed approach provides a fast and accurate approximation of model behaviour, dramatically reducing computation time. In that, our machine-learning surrogate […]

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working_paper_2016_25_cover

Complexity and the Economics of Climate Change: a Survey and a Look Forward

We provide a survey of the micro and macro economics of climate change from a complexity science perspective and we discuss the challenges ahead for this line of research. We identify four areas of the literature where complex system models have already produced valuable insights: (i) coalition formation and climate negotiations, (ii) macroeconomic impacts of […]

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working_paper_2016_24_cover

Preventing Environmental Disasters: Market-Based vs. Command-and-Control Policies

The paper compares the effects of market-based and command-and-control climate policies on the direction of technical change and the prevention of environmental disasters. Drawing on the model proposed in Acemoglu et al. (2012), we show that market-based policies (carbon taxes and subsidies towards clean sectors) exhibit bounded window of opportunities: delays in their implementation make […]

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