IDEAS home Printed from https://ideas.repec.org/a/pab/rmcpee/v28y2019i1p342-363.html
   My bibliography  Save this article

Combinación del método CART y de econometría de corte transversal para la identificación de determinantes: supervivencia de exportaciones argentinas || Combination of the CART method and cross-section econometrics for the identification of determinants: Survival of Argentine exports

Author

Listed:
  • González, Germán

    (Instituto de Investigaciones Económicas y Sociales del Sur y Departamento de Economía. Universidad Nacional del Sur (Argentina))

  • Delbianco, Fernando

    (Instituto de Matemáticas de Bahía Blanca y Departamento de Economía. Universidad Nacional del Sur (Argentina))

  • Michalczewsky, Kathia

    (Instituto para la Integración de América Latina y Departamento de Economía. Universidad Nacional del Sur (Argentina))

  • Ramirez, Micaela

    (Departamento de Economía. Universidad Nacional del Sur (Argentina))

Abstract

Este trabajo identifica factores explicativos de la supervivencia de flujos de comercio argentinos utilizando como método de identificación la combinación del método de Análisis de Árbol de Clasificación y Regresión (CART, con sus siglas en inglés) y econometría de corte transversal. Mientras que el primero determina los mejores predictores, el segundo ofrece una función global que vincula a la variable dependiente con aquellos. La combinación de estos métodos permite reducir el número de variables potencialmente explicativas en problemas en los que no existe consenso teórico, o salvar situaciones en las que existen relaciones no lineales, datos faltantes u observaciones anómalas. La aplicación al caso de estudio permite observar que existe una diferencia significativa entre flujos de exportaciones preexistentes y nuevos flujos, a pesar de que las variables explicativas de su duración resulten ser las mismas. || 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.

Suggested Citation

  • González, Germán & Delbianco, Fernando & Michalczewsky, Kathia & Ramirez, Micaela, 2019. "Combinación del método CART y de econometría de corte transversal para la identificación de determinantes: supervivencia de exportaciones argentinas || Combination of the CART method and cross-section," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 28(1), pages 342-363, December.
  • Handle: RePEc:pab:rmcpee:v:28:y:2019:i:1:p:342-363
    as

    Download full text from publisher

    File URL: https://www.upo.es/revistas/index.php/RevMetCuant/article/view/3307/3856
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    flujos de comercio; exportaciones; supervivencia; análisis de árbol de clasificación y decisión; econometría de corte transversal; trade flows; exports; survival; CART; cross section econometrics;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • F10 - International Economics - - Trade - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pab:rmcpee:v:28:y:2019:i:1:p:342-363. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publicación Digital - UPO (email available below). General contact details of provider: https://edirc.repec.org/data/dmupoes.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.