Learning and fatigue during choice experiments: a comparison of online and mail survey modes

Savage, Scott; Waldman, Donald M.

doi:10.1002/jae.984

Cited by 154 publications

(93 citation statements)

References 21 publications

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“…There are several models which allow for this, including the covariance heterogeneity model (DeShazo and Fermo 2002), the error components model (Hensher et al 2008;Savage and Waldman 2008), modeling Gumbel variance directly by using socio-economic characteristics (Scarpa et al 2003), the heteroskedastic extreme value model (Salisbury and Feinberg 2010), multiplicative errors model (Fosgerau and Bierlaire 2009) and, perhaps most notably, the heteroskedastic MNL model (e.g. Hensher et al 1998;Dellaert et al 1999;Swait and Adamowicz 2001;Caussade and Ortúzar 2005).…”

Section: Methods For Accounting For Information-related Effects On Prmentioning

confidence: 99%

Controlling for the Effects of Information in a Public Goods Discrete Choice Model

Czajkowski

Hanley

LaRiviere

2014

Environ Resource Econ

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This paper develops a reduced form method of controlling for differences in information sets of subjects in public good discrete choice models, using stated preference data. The main contribution of our method comes from accounting for the effect of information provided during a survey on the mean and the variance of individual-specific scale parameters. In this way we incorporate both scale heterogeneity as well as observed and unobserved preference heterogeneity to investigate differences across and within information treatments. Our approach will also be useful to researchers who want to combine stated preference data sets while controlling for scale differences. We illustrate our approach using the data from a discrete choice experiment study of a biodiversity conservation program and find that the mean of individual-specific scale parameters and its variance in the sample is sensitive to the information set provided to the respondents.

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Section: Methods For Accounting For Information-related Effects On Prmentioning

confidence: 99%

Controlling for the Effects of Information in a Public Goods Discrete Choice Model

Czajkowski

Hanley

LaRiviere

2014

Environ Resource Econ

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“…Thus, each respondent faced eight choice sets. We randomized the order of presentation of choice sets to avoid fatigue and learning effects (Savage and Waldman, 2008). Table 1 shows a sample choice set.…”

Section: Experimental Design and Datamentioning

confidence: 99%

Quality uncertainty and the market for renewable energy: Evidence from German consumers

2016

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Consumers can choose from a wide range of electricity supply contracts, including green power options. Electricity produced from renewable energy involves information asymmetries. With a sample of more than 2,000 German electricity consumers, we tested the proposition of a "lemon market" for renewable energy in a discrete choice experiment.Specifically, we found that, compared to investor-owned firms, additional willingness-to-pay (WTP) for renewable energy is approximately double when offered by cooperatives or municipally-owned electricity utilities. Consumers who are experienced with switching suppliers have an additional WTP of one Eurocent per kilowatt hour for cooperatives and two Eurocents for public enterprises. The results demonstrate that organizational transformation in dynamically-changing electricity markets is not only driven by political initiatives but also by consumers' choices on the market. Public policy may reduce information asymmetries by promoting government labeling of green energy products.

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“…However, the use of CE to test preference learning, preference stability and choice consistency is limited (e.g. Brazell and Louviere 1998;Dellaert et al 1999;DeShazo and Fermo 2002;Holmes and Boyle 2005;Ladenburg and Olsen 2008;Savage and Waldman 2008;Rose et al 2009). …”

Section: Theoretical Backgroundmentioning

confidence: 99%

Choice Certainty and Consistency in Repeated Choice Experiments

Brouwer

Dekker

Rolfe

et al. 2009

Environ Resource Econ

118

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The main objective of this study is to examine how repeated choice affects preference learning in stated preference experiments. We test different hypotheses related to preference learning by analyzing response patterns and asking respondents in a choice experiment to report their experienced certainty when going through the choice tasks. In a split-sample test, we show that follow-up choice certainty questions are procedural invariant. The self-reported certainty results indicate that learning occurs, but econometric testing procedures do not identify any significant impact of learning effects on parameter estimates or variance across choice tasks. Additional tests of choice consistency suggest that preferences in the choice experiment are stable and coherent.

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Learning and fatigue during choice experiments: a comparison of online and mail survey modes

Cited by 154 publications

References 21 publications

Controlling for the Effects of Information in a Public Goods Discrete Choice Model

Controlling for the Effects of Information in a Public Goods Discrete Choice Model

Quality uncertainty and the market for renewable energy: Evidence from German consumers

Choice Certainty and Consistency in Repeated Choice Experiments

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