The link between response time and preference, variance and processing heterogeneity in stated choice experiments

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

The link between response time and preference, variance and processing heterogeneity in stated choice experiments. / Campbell, Danny; Mørkbak, Morten Raun; Olsen, Søren Bøye.

In: Journal of Environmental Economics and Management, Vol. 88, 2018, p. 18-34.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Campbell, D, Mørkbak, MR & Olsen, SB 2018, 'The link between response time and preference, variance and processing heterogeneity in stated choice experiments', Journal of Environmental Economics and Management, vol. 88, pp. 18-34. https://doi.org/10.1016/j.jeem.2017.10.003

APA

Campbell, D., Mørkbak, M. R., & Olsen, S. B. (2018). The link between response time and preference, variance and processing heterogeneity in stated choice experiments. Journal of Environmental Economics and Management, 88, 18-34. https://doi.org/10.1016/j.jeem.2017.10.003

Vancouver

Campbell D, Mørkbak MR, Olsen SB. The link between response time and preference, variance and processing heterogeneity in stated choice experiments. Journal of Environmental Economics and Management. 2018;88:18-34. https://doi.org/10.1016/j.jeem.2017.10.003

Author

Campbell, Danny ; Mørkbak, Morten Raun ; Olsen, Søren Bøye. / The link between response time and preference, variance and processing heterogeneity in stated choice experiments. In: Journal of Environmental Economics and Management. 2018 ; Vol. 88. pp. 18-34.

Bibtex

@article{ee47c69310954a5eadf416830c2fd73d,
title = "The link between response time and preference, variance and processing heterogeneity in stated choice experiments",
abstract = "In this article we utilize the time respondents require to answer a self-administered online stated preference survey. While the effects of response time have been previously explored, this article proposes a different approach that explicitly recognizes the highly equivocal relationship between response time and respondents' choices. In particular, we attempt to disentangle preference, variance and processing heterogeneity and explore whether response time helps to explain these three types of heterogeneity. For this, we divide the data (ordered by response time) into approximately equal-sized subsets, and then derive different class membership probabilities for each subset. We estimate a large number of candidate models and subsequently conduct a frequentist-based model averaging approach using information criteria to derive weights of evidence for each model. Our findings show a clear link between response time and utility coefficients, error variance and processing strategies. Our results thus emphasize the importance of considering response time when modeling stated choice data.",
author = "Danny Campbell and M{\o}rkbak, {Morten Raun} and Olsen, {S{\o}ren B{\o}ye}",
year = "2018",
doi = "10.1016/j.jeem.2017.10.003",
language = "English",
volume = "88",
pages = "18--34",
journal = "Journal of Environmental Economics and Management",
issn = "0095-0696",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - The link between response time and preference, variance and processing heterogeneity in stated choice experiments

AU - Campbell, Danny

AU - Mørkbak, Morten Raun

AU - Olsen, Søren Bøye

PY - 2018

Y1 - 2018

N2 - In this article we utilize the time respondents require to answer a self-administered online stated preference survey. While the effects of response time have been previously explored, this article proposes a different approach that explicitly recognizes the highly equivocal relationship between response time and respondents' choices. In particular, we attempt to disentangle preference, variance and processing heterogeneity and explore whether response time helps to explain these three types of heterogeneity. For this, we divide the data (ordered by response time) into approximately equal-sized subsets, and then derive different class membership probabilities for each subset. We estimate a large number of candidate models and subsequently conduct a frequentist-based model averaging approach using information criteria to derive weights of evidence for each model. Our findings show a clear link between response time and utility coefficients, error variance and processing strategies. Our results thus emphasize the importance of considering response time when modeling stated choice data.

AB - In this article we utilize the time respondents require to answer a self-administered online stated preference survey. While the effects of response time have been previously explored, this article proposes a different approach that explicitly recognizes the highly equivocal relationship between response time and respondents' choices. In particular, we attempt to disentangle preference, variance and processing heterogeneity and explore whether response time helps to explain these three types of heterogeneity. For this, we divide the data (ordered by response time) into approximately equal-sized subsets, and then derive different class membership probabilities for each subset. We estimate a large number of candidate models and subsequently conduct a frequentist-based model averaging approach using information criteria to derive weights of evidence for each model. Our findings show a clear link between response time and utility coefficients, error variance and processing strategies. Our results thus emphasize the importance of considering response time when modeling stated choice data.

U2 - 10.1016/j.jeem.2017.10.003

DO - 10.1016/j.jeem.2017.10.003

M3 - Journal article

VL - 88

SP - 18

EP - 34

JO - Journal of Environmental Economics and Management

JF - Journal of Environmental Economics and Management

SN - 0095-0696

ER -

ID: 185686543