Uncovering context-induced status quo effects in choice experiments

Oehlmann, Malte; Meyerhoff, Jürgen; Mariel, Petr; Weller, Priska

doi:10.1016/j.jeem.2016.09.002

Cited by 30 publications

(24 citation statements)

References 41 publications

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“…number of attributes, number of levels and number of alternatives in the choice set, our results stand at odds with those reported by Oehlmann et al (2017). While they conclude that SQ choices are not affected by the number of attributes, our meta-regression indicates that there is a positive and significant correlation between the number of attributes and the probability of SQE.…”

Section: Discussioncontrasting

confidence: 99%

“…While they conclude that SQ choices are not affected by the number of attributes, our meta-regression indicates that there is a positive and significant correlation between the number of attributes and the probability of SQE. Moreover, the number of levels shows a negative sign in this metaanalysis while Oehlmann et al (2017) report the contrary. Last, we do not find a sig-nificant effect of the number of alternatives per choice or the number of choices that respondents face.…”

Section: Discussioncontrasting

confidence: 62%

“…However, with regards to cognitive burden our results seem to point out towards a trade-off between preference matching (decreasing SQE by providing more alternatives in each choice card) and cognitive burden (more alternatives make choice more difficult) of choosing the number of alternatives to minimize SQE. For the other two variables, in line with Oehlmann et al (2017), we would recommend practitioners who want to reduce the risk of SQE to reduce the number of choice tasks per individual and keep the level range within the expected uncertainty. However, the number of levels, within the plausible range, should be increased.…”

Section: Discussionmentioning

confidence: 99%

“…The welfare estimates depend on the propensity to choose SQ alternative, and therefore it is related with SQE. The study by Oehlmann et al (2017) highlights that differences in the design of the CE have significant influence on marginal as well as non-marginal welfare estimates. In addition, in the literature there is a debate on whether to include or not the ASC in the calculation of marginal welfare measures as the welfare estimates are significantly different (Boxall, 2009;Oehlmann, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Scarpa et al (2005) recommend that a status quo option is included in the choice card design and an alternative specific constant as a variable in the modelling to avoid bias. In their comprehensive study on the topic, Oehlmann et al (2017) try to uncover the drivers of SQE in choice experiments. Based on a set of DCE applications which vary the number of choices, alternatives, attributes and levels as well as the level range, the authors found that the frequency of status quo choices is negatively associated with the number of alternatives and positively related to the number of choice tasks that the respondents face and the level range.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Choosing not to choose: A meta-analysis of status quo effects in environmental valuations using choice experiments

Barreiro‐Hurlé

Espinosa-Goded

Martínez‐Paz

et al. 2018

EARN

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<p>Discrete choice experiments (DCE) normally include in their choice sets an option described as the status quo (i.e. no change to current situation; SQ). The literature has identified Status Quo Effect (SQE) as the systematic preference of the SQ over the alternatives that propose changes over and beyond what can be captured by the variation of attributes’ levels. In this paper, we conduct a meta-analysis of DCE applied in environmental policy to identify potential drivers of SQE. We find that accounting for heterogeneity in the econometric analysis, excluding protest responses and easing the choice’s cognitive burden reduce the presence of SQE.</p>

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Section: Discussioncontrasting

confidence: 99%

Section: Discussioncontrasting

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Choosing not to choose: A meta-analysis of status quo effects in environmental valuations using choice experiments

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Martínez‐Paz

et al. 2018

EARN

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Who is willing to pay a premium for leafy greens produced by indoor agriculture? A comparative choice experiment with US consumers

Seong,

Valle De Souza,

Athnos

et al. 2024

Agribusiness

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Indoor agriculture (IA) presents a pathway to producing leafy greens more sustainably by strictly controlling the growing environment, increasing the efficiency of water and land resources use, reducing pesticide application, and enhancing quality characteristics. However, the commercial success of adopting this production method depends on the technology's widespread consumer acceptance paired with a price premium for the improved quality it provides. This paper characterizes American consumer preferences for leafy greens, reports a positive WTP for leafy green attributes, and estimates how consumer attitudes toward IA affect their leafy green choices. The findings are drawn from an online survey of over 2000 US leafy green consumers conducted in 2021. The respondents faced a hypothetical discrete choice experiment (DCE) designed to simulate purchasing leafy green produce. The alternatives presented in the DCE varied over production systems (IA, field farming, or greenhouses) and quality levels (taste, freshness, nutrient level, and food safety). Estimates identify significant preference heterogeneity for leafy green attributes and facilitate classifying consumers into three preference‐based groups: “Quality Seekers,” “Price Conscious,” and “Focused Practicals.” Preference variation is significantly greater for production methods than quality characteristics, indicating nascent production method preferences. Results suggest most US consumers view IA positively; however, WTP estimates vary significantly between consumer segments [EconLit Citations: D12, D13].

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Experimental Design

Mariel

Hoyos

Meyerhoff

et al. 2020

Environmental Valuation With Discrete Choice Experiments

Self Cite

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This chapter covers various issues related to the experimental design, a statistical technique at the core of a discrete choice experiment. Specifically, it focuses on the dimensionality of a choice experiment and the statistical techniques used to allocate attribute levels to choice tasks. Among others, the pros and cons of orthogonal designs, optimal orthogonal in the differences designs as well as efficient designs are addressed. The last section shows how a simulation exercise can help to test the appropriateness of the experimental design.

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Uncovering context-induced status quo effects in choice experiments

Cited by 30 publications

References 41 publications

Choosing not to choose: A meta-analysis of status quo effects in environmental valuations using choice experiments

Choosing not to choose: A meta-analysis of status quo effects in environmental valuations using choice experiments

Who is willing to pay a premium for leafy greens produced by indoor agriculture? A comparative choice experiment with US consumers

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