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Análisis y determinantes de la productividad legislativa en México (2009-2012)




In Mexico the study of legislative performance has been relegated to political science since the lack of information and Congress transparency are persistent, and because of its complexity to make use of it in matter of public policy implementation. Given the previous reasons this document has as main objectives to identify those characteristics which determine legislative productivity, as well as to analyze which of those characteristics determine the type of bill that deputies subscribe, is worth mentioning that the present study takes part of the first applied studies that have been developed in this area. In this study we use data from the 61° legislature (2009-2012), and we performed two different estimations. To identify the determinants of productivity we estimate a binomial negative regression, which we use to evaluate cross-section and panel data. Results show that the variables that explain legislative productivity are such as belonging to the majority party in Congress, age, and to participate in a greater number of commissions. Equally the educational level and the State which legislators represent have a positive effect, latter being new findings for this type of studies. To identify the determinants of the type of subscribed bills, we estimate a Multinomial Probit Model. Results show that gender, age and political ideology contribute to explain the type of bill that legislators subscribe.

Suggested Citation

  • Bárbara Briones Martínez, 2012. "Análisis y determinantes de la productividad legislativa en México (2009-2012)," Estudios Regionales en Economía, Población y Desarrollo. Cuadernos de Trabajo de la Universidad Autónoma de Ciudad Juárez. 11, Cuerpo Académico 41 de la Universidad Autónoma de Ciudad Juárez, revised 09 Dec 2012.
  • Handle: RePEc:cjz:ca41cj:11

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    Legislative productivity; binomial negative regression; multinomial probit models;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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