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Exploring in-depth joint pro-environmental behaviors: a multivariate ordered probit approach

Author

Listed:
  • Olivier Beaumais

    () (LISA - Lieux, Identités, eSpaces, Activités - UPP - Université Pascal Paoli - CNRS - Centre National de la Recherche Scientifique)

  • Apolline Niérat

    (CREAM - Centre de Recherche en Economie Appliquée à la Mondialisation - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université - IRIHS - Institut de Recherche Interdisciplinaire Homme et Société - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université)

Abstract

As commitment levels to pro-environmental activities are usually coded as ordered categorical variables, we argue that the multivariate ordered probit model is an appropriate tool to account for the effect of common observable and unobservable variables on joint pro-environmental behaviors. However, exploring in-depth joint pro-environmental behaviors using the multivariate ordered probit model requires not only to assess whether some variables are found to be significant, but also to calculate joint probabilities, conditional probabilities and partial effects on these quantities. As an illustration, we explore the joint commitment levels of households to recycling of materials in France. We show that beyond the estimation of the multivariate ordered probit model, much can be learned from the calculation of the aforementioned quantities. (JEL C35, Q53)

Suggested Citation

  • Olivier Beaumais & Apolline Niérat, 2019. "Exploring in-depth joint pro-environmental behaviors: a multivariate ordered probit approach," Working Papers hal-02361390, HAL.
  • Handle: RePEc:hal:wpaper:hal-02361390
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-02361390
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    References listed on IDEAS

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    More about this item

    Keywords

    Joint pro-environmental behavior; multivariate ordered probit model; waste recycling;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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