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Green Attention in Financial Markets: A Global Warning

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  • Kevin Fourrey

Abstract

This article proposes an innovative tool to decompose the inequality of an outcome distribution between a set of attributes contributing to that inequality, based on econometric models. We use the recent developments of the Shapley decomposition by Chantreuil et al. (2019) that we apply more broadly to a case where the outcome distribution by sources is not predefined by a natural additive structure. We show that this development is highly relevant in applied studies and that it has a number of advantages compared to the existing regression-based decompositions of inequality measures. An example of application to wage inequalities in France is given, with a focus on the attribute of gender.

Suggested Citation

  • Kevin Fourrey, 2023. "Green Attention in Financial Markets: A Global Warning," Annals of Economics and Statistics, GENES, issue 149, pages 39-62.
    • Handle: RePEc:adr:anecst:y:2023:i:149:p:39-62
    DOI: 10.2307/48718079
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    More about this item

    Keywords

    Decomposition of Inequality Measures; Distributive Interactions; Shapley Value; Gender Inequality.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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