Erlend Dancke Sandorf
    • Posts
    • Blog
      • 2019
        • Purpose of the blog
      • 2020
        • Associate Fellow of the HEA
        • Persistent storage on Shinyapps.io
    • News
      • 2018
        • New position at U of Stirling
        • Teaching in Karlsruhe
      • 2019
        • R package obfuscatoR
      • 2020
        • ERAE Outstanding Paper Award
        • Jekyll pro-theme
    • Presentations
      • 2018
        • Presentation WCERE
      • 2019
        • Presentation at ENVECHO
        • Presentation at HERU
        • Presentation at ICMC2019
        • Presentation at LEEPin2019
      • 2020
        • Presentation at EAERE
    • Publications
      • 2016
        • Ecological Economics
        • Journal of Choice Modeling
      • 2017
        • Ocean and Coastal Management
      • 2018
        • Energy Economics
        • Environmental and Resource Economics
        • European Review of Agricultural Economics
        • Journal of Choice Modeling
      • 2019
        • Conservation Biology
      • 2020
        • Bio-based and Applied Economics
        • Environmental and Resource Economics
        • PLoS One
        • Resource and Energy Economics
    New publication in Environmental and Resource Economics

    Stated preference practitioners are increasingly relying on internet panels to gather data, but emerging evidence suggests potential limitations with respect to respondent and response quality in such panels. We identify groups of inattentive respondents who have failed to watch information videos provided in the survey to completion. Our results show that inattentive respondents have a higher cost sensitivity, are more likely to have a small scale parameter, and are more likely to ignore the non-cost attributes.

    October 25, 2018 Read
    New publication in European Review of Agricultural Economics

    Accumulating evidence suggests that respondents in stated choice experiments use simplifying strategies. Such behaviour is a deviation from random utility theory and can lead to wrong inferences regarding preferences. This is a first attempt to systematically explore satisficing in stated choice experiments. We consider 944 satisficing rules and allow respondents to revise the rules adopted throughout the choice sequence. Only a minority of respondents used the same satisficing rule across the entire sequence.

    July 20, 2018 Read
    New publication in Energy Economics

    In this paper, we report on a discrete choice experiment aimed at eliciting Swedish households’ willingness-to-accept a compensation for restrictions on household electricity and heating use during peak hours. When analyzing data from discrete choice experiments it is typically assumed that people make rational utility maximizing decisions, i.e., that they consider all of the attribute information and compare all alternatives. However, mounting evidence shows that people use a wide range of simplifying strategies that are inconsistent with utility maximization.

    May 8, 2018 Read
    New publication in Journal of Choice Modeling

    When analyzing discrete choice data we assume that respondents compare alternatives and make a utility maximizing choice. The majority of DCEs use a matrix display with one row per attribute and one column per alternative. A comparison by alternatives implies that respondents process the choice task column-by-column. However, evidence from psychology and judgment and decision making research suggest that learned reading patterns dominate and as such the standard matrix display might induce processing by attributes rather than alternatives.

    February 17, 2018 Read
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    • Email: erlend.dancke.sandorf@nmbu.no

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