This project ecplores the complex impacts of negative trade shocks on French companies using advanced machine learning techniques. The aim of the project is to analyze how French companies have reacted to these shocks, and to identify the characteristics of those that have successfully redirected their exports, taking into account complex dynamics of interconnected markets where other countries have also faced the same challenge. In addition, the project examines the impact on production and employment, distinguishing between workers according to the positions they occupy. By comprehensively examining these aspects, the research aims to provide information for policy-makers in dealing with trade shocks and their consequences.
Studying the impact of unfavorable trade shocks on firms via Machine Learning methods
Data provided through CASD (19)
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