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

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 trying to estimate the effects of these provisions on trade flows. This paper builds on recent developments in the machine learning and variable selection...

DETAILS

Author

Breinlich,Holger;

Corradi,Valentina;

Rocha,Nadia;

Ruta,Michele;

Santos Silva,J.M.C.;

Zylkin,Tom;
Document Date
2021/04/13
Document Type
Policy Research Working Paper
Report Number
WPS9629
Volume No
1
Total Volume(s)
1
Country
World,
Region
Other,
Disclosure Date
2021/04/13
Disclosure Status
Disclosed
Doc Name
Machine Learning in International Trade Research : Evaluating the Impact of Trade Agreements
Keywords
Sanitary and Phytosanitary Measures

DOWNLOADS

COMPLETE REPORT

Official version of document (may contain signatures, etc)

Official PDF
TXT*
Total Downloads** : 2915
Download Stats
*The text version is uncorrected OCR text and is included solely to benefit users with slow connectivity.

Citation

Breinlich,Holger; Corradi,Valentina; Rocha,Nadia; Ruta,Michele; Santos Silva,J.M.C.; Zylkin,Tom.

Machine Learning in International Trade Research : Evaluating the Impact of Trade Agreements (English). Policy Research working paper|no. WPS 9629 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/730781618338899906

See more details

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

DETAILS

DOWNLOADS

COMPLETE REPORT

Citation

SUBSCRIBE TO EMAIL ALERTS