Kevin J. Boyle

Economics and Econometrics · 2000–2020

A researcher in the Science corpus: 14 papers; trusts 22 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 208 citations into it; #1,629 of 23,481 by trust here, #1,524 by citations
• General Decision Sciences — 87 citations into it; #638 of 1,995 by trust here, #623 by citations
• Marketing — 31 citations into it
• Sociology and Political Science — 30 citations into it
• Transportation — 19 citations into it
• Management, Monitoring, Policy and Law — 18 citations into it

Whom Kevin J. Boyle trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Joffre Swait
2. J. Deshazo
3. Richard T. Carson
4. Daniel Kahneman
5. Charles F. Manski
6. Amos Tversky
7. Wiktor L. Adamowicz
8. Riccardo Scarpa
9. Wiebke Kuklys
10. P. Champ

Who trusts Kevin J. Boyle overall

1. Danya Kim
2. D. Fujiwara
3. T. Holmes
4. S. B. Olsen
5. Jangik Jin
6. Henrik Lindhjem
7. Ian J. Bateman
8. Ross Campbell
9. G. Atkinson
10. Richard S. J. Tol

Papers from Kevin J. Boyle's perspective

Ordered by how strongly the researchers Kevin J. Boyle trusts endorse each paper. Same corpus, a different order for every researcher.

1. Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency
2. Discrete Choice Models in Preference Space and Willingness-to Pay Space
3. Incentive and informational properties of preference questions
4. What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?
5. The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching
6. A Comparison of Criteria to Design Efficient Choice Experiments
7. Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?
8. Modelling attribute non-attendance in choice experiments for rural landscape valuation
9. Economic Valuation with Stated Preference Techniques: A Manual
10. Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness

Their papers

• Dynamic Learning and Context-Dependence in Sequential, Attribute-Based, Stated-Preference Valuation Questions (2005) — 124 citations
• A primer on nonmarket valuation (2003) — 1,065 citations
• What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity (2013) — 125 citations
• Meta-analysis and benefit transfer for resource valuation-addressing classical challenges with Bayesian modeling (2007) — 120 citations
• Contingent Valuation in Practice (2003) — 530 citations
• Out of Sight, Out of Mind? Using GIS to Incorporate Visibility in Hedonic Property Value Models (2002) — 276 citations
• Does the Measurement of Environmental Quality Affect Implicit Prices Estimated from Hedonic Models (2000) — 124 citations
• Analysis of contingent valuation data with multiple bids and response options allowing respondents to express uncertainty (2003) — 265 citations
• Objective versus Subjective Measures of Water Clarity in Hedonic Property Value Models (2001) — 184 citations
• An Hedonic Analysis of the Effects of Lake Water Clarity on New Hampshire Lakefront Properties (2002) — 142 citations
• Willingness-to-pay and policy-instrument choice for climate-change policy in the United States (2013) — 166 citations
• Contemporary Guidance for Stated Preference Studies (2017) — 1,464 citations
• Best Practices for Using Hedonic Property Value Models to Measure Willingness to Pay for Environmental Quality (2020) — 136 citations
• Social Desirability Bias in Contingent Valuation Surveys Administered Through In-Person Interviews (2003) — 219 citations