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Una clasificación de modelos de regresión binaria asimétrica: el uso del BAYES-PUCP en una aplicación sobre la decisión del cultivo ilícito de hoja de coca

Listed author(s):
  • Jorge Luis Bazán


    (Pontificia Universidad Católica del Perú - Departamento de Ciencias)

  • Óscar Millones


    (Pontificia Universidad Católica del Perú - Departamento de economía)

Registered author(s):

    In classical econometric binary regression models, the logistic regression model has been used associated to the logit symmetric link. The purpose of this paper is to present binary regression models with rather asymmetric links —not yet available as commercial software—, when this asymmetry is more appropriate to the researcher. In addition, a utility program called BAYES-PUCP is implemented. BAYES-PUCP uses a bayesian approach with the program WinBUGS and will facilitate the writing of the syntax for the models reviewed. It also generates both the syntax and the structure of the data. The method is illustrated for a sample of farmers who consider the decision to eradicate illegal crops of coca leaf. Factors associated with this decision are also explored.

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    Article provided by Fondo Editorial de la Pontificia Universidad Católica del Perú in its journal Revista Economía.

    Volume (Year): (2008)
    Issue (Month): 62 ()
    Pages: 17-32

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    Handle: RePEc:pcp:pucrev:y:2008:i:62:p:17-32
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