In search of a winning candidate profile: an application of conjoint analysis

Authors

  • Édgar Cárdenas Bonilla National University of Engineering, Lima, Peru

DOI:

https://doi.org/10.21754/iecos.v7i0.1200

Keywords:

joint analysis, consumer theory, political attributes

Abstract

This study uses conjoint analysis, a multivariate statistical technique of categorical explanatory variables to examine the decision structure used by the voter at the time of casting his vote. The methodology allowed us to establish the attributes that Peruvian voters consider favorable when selecting a candidate.

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References

Bradlow, E., Hu, Y., & Ho, T.-H. (2004). A learning based model for imputing missing levels in partial conjoint profiles. Journal of Marketing Research, 41(November), 369-381.

Curry, J. (1997). Profundizando en el Conjoint Análisis. La Revista de Aedemo.

Data Mining Institute. (2001). Conjoint Análisis. Disponible en http://www.Estadístico.com

Hair, J. F., Anderson, R. E., Tathan, R. L. (2001). Análisis multivariante (5ª ed.). Prentice Hall.

Malhotra, N. K. (1999). Investigación de mercados (2ª ed.). Prentice Hall.

Pindyck, R. S., & Rubinfeld, D. L. (2001). Microeconomía (5ª ed.). Prentice Hall.

SPSS. (2003). Conjoint analysis with SPSS. SPSS User's Guide.

Published

2009-11-03

How to Cite

Cárdenas Bonilla, Édgar. (2009). In search of a winning candidate profile: an application of conjoint analysis. Revista IECOS, 7, 35–56. https://doi.org/10.21754/iecos.v7i0.1200

Issue

Section

Research Articles