Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286181 
Title (translated): 
Combination of the CART method and cross-section econometrics for the identification of determinants
Year of Publication: 
2019
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 28 [Year:] 2019 [Pages:] 342-363
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract (Translated): 
This paper identifies factors that explain the survival of Argentine trade flows using the combination of the Classification And Regression Tree analysis (CART) method and cross-section econometrics as the identification method. While the first determines the best predictors, the second offers a global function that links the dependent variable with those. The combination of these methods allows to reduce the number of potentially explanatory variables in problems in which there is no theoretical consensus, or to resolve situations in which there are non-linear relationships, missing data or anomalous observations. The application to the case study allows us to observe that there is a significant difference between pre-existing export flows and new flows, even though the explanatory variables of their duration turn out to be the same.
Subjects: 
trade flows
exports
survival
CART
cross section econometrics
JEL: 
C41
F10
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.