Information-theoretic solutions to ill-posed problems in Environmental and Natural Resource Economics

Wednesday, 19 May 2021, 16:00-17:15

Room: Zoom

Presenter: Affuso Ermanno, University of South Alabama

Hadamard defines ill-posed problems as those that neither have a solution nor a unique or stable solution exists given the available data. The maximum entropy formalism is an information-theoretic-based statistic that allows the estimation of ill-posed inverse economic problems with an extreme degree of precision in the presence of limited data. I will present two empirical applications of the maximum entropy formalism that could be useful in normative and positive settings to design sustainable environmental policies.


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