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Using framed field experiments to evaluate real-world policy interventions: A case study on changing environmental preferences

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  • Reitmann, Ann-Kristin
  • Sievert, Maximiliane

Abstract

Many policy interventions in the environmental sector aim at changing environmental preferences, because these provide the basis for adopting environmental conservation behavior or technologies. To evaluate these changes, standard measurement tools in survey-based impact evaluations have their limitations. We discuss the potential of framed field experiments as an alternative to attain unbiased outcome measures, and present a case study from an impact evaluation in the Colombian coffee sector. While clear advantages exist, we show that indicators from framed field experiments require substantial sample sizes to provide well-powered results. Moreover, preference indicators are highly context specific, which calls for an elaborated framing to attain the intended kind of preferences.

Suggested Citation

  • Reitmann, Ann-Kristin & Sievert, Maximiliane, 2024. "Using framed field experiments to evaluate real-world policy interventions: A case study on changing environmental preferences," Ruhr Economic Papers 1072, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  • Handle: RePEc:zbw:rwirep:287767
    DOI: 10.4419/96973244
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    References listed on IDEAS

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    4. Simone Schaner, 2017. "The Cost of Convenience?: Transaction Costs, Bargaining Power, and Savings Account Use in Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 52(4), pages 919-945.
    5. Karapetyan, Deanna & d'Adda, Giovanna, 2014. "Determinants of conservation among the rural poor: A charitable contribution experiment," Ecological Economics, Elsevier, vol. 99(C), pages 74-87.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Field experiment; environmental preferences; impact evaluation; lessons learned; behavioral economics;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General

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