Continuity of export companies in the Peruvian clothing sector: An application of Multivariate Logit models

Authors

  • Luis E. Huamanchumo de la Cuba Universidad Nacional de Ingeniería, Lima, Perú
  • Javier L. Rebatta Nieto Universidad Nacional de Ingeniería, Lima, Perú

DOI:

https://doi.org/10.21754/tecnia.v16i1.414

Keywords:

Logistic regression, Logit model, Hosmer and Lemeshow test, Wald test, Apparel exports, FTA Peru - USA, External validity, Forecast

Abstract

In this work, we try to find factors that determine the export continuity of Peruvian apparel exporters. Logistic regression has been used because it gives several advantages over other methods where the outcome variable is dichotomous or continuous with few values. Logit model exhibits significant interactions which have been deeply analyzed. Likewise, it was possible an exhaustive residual and goodness-of-fit analysis. Finally, we could validate the model for forecast of export continuity in 2006.

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References

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Published

2006-06-01

How to Cite

[1]
L. E. Huamanchumo de la Cuba and J. L. Rebatta Nieto, “Continuity of export companies in the Peruvian clothing sector: An application of Multivariate Logit models”, TEC, vol. 16, no. 1, Jun. 2006.

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Section

Articles