Machine Learning in International Trade Research : Evaluating the Impact of Trade Agreements

Machine Learning in International Trade Research : Evaluating the Impact of Trade Agreements

Modern trade agreements contain a large number of provisions besides tariff reductions, in areas as diverse as services trade, competition policy, trade-related investment measures, or public procurement. Existing research has struggled with overfitting and severe multicollinearity problems when try...

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Bibliographic Details
Main Authors: Breinlich, Holger, Corradi, Valentina, Rocha, Nadia, Ruta, Michele, Santos Silva, J.M.C., Zylkin, Tom
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2021
Subjects:
TRADE POLICY
TRADE AGREEMENTS
PREFERENTIAL TRADE AGREEMENTS
DEEP TRADE AGREEMENT
MACHINE LEARNING
LASSO
Online Access:http://documents.worldbank.org/curated/en/730781618338899906/Machine-Learning-in-International-Trade-Research-Evaluating-the-Impact-of-Trade-Agreements
http://hdl.handle.net/10986/35451

Internet

http://documents.worldbank.org/curated/en/730781618338899906/Machine-Learning-in-International-Trade-Research-Evaluating-the-Impact-of-Trade-Agreements
http://hdl.handle.net/10986/35451

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