W. Hutchinson

Economics and Econometrics · 2000–2009

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 69 citations into it; #4,713 of 23,481 by trust here, #4,709 by citations
• General Decision Sciences — 26 citations into it; #504 of 1,995 by trust here, #652 by citations
• Marketing — 20 citations into it
• Global and Planetary Change — 11 citations into it; #2,760 of 10,225 by trust here, #4,198 by citations
• Transportation — 11 citations into it
• Management, Monitoring, Policy and Law — 9 citations into it
• Management Science and Operations Research — 6 citations into it
• Safety Research — 6 citations into it

Whom W. Hutchinson trusts overall

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

1. David A. Hensher
2. Kenneth Train
3. Riccardo Scarpa
4. Ian J. Bateman
5. D. Campbell
6. Silvia Ferrini
7. Zsolt Sándor
8. Daniel McFadden
9. William H. Greene
10. Chandra R. Bhat

Who trusts W. Hutchinson overall

1. D. Campbell
2. Riccardo Scarpa
3. Stephane Hess
4. David A. Hensher
5. M. H. Alemu
6. H. Sælen
7. P. Weller
8. R. Johnston
9. M. Mørkbak
10. John M. Rose

Papers from W. Hutchinson's perspective

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

1. Discrete Choice Models in Preference Space and Willingness-to Pay Space
2. Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency
3. Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model
4. Designing Conjoint Choice Experiments Using Managers' Prior Beliefs
5. Conditional logit analysis of qualitative choice behavior
6. A New Approach to Consumer Theory
7. Discrete Choice Methods with Simulation by Kenneth E. Train
8. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences
9. Incentive and informational properties of preference questions
10. Assessing the influence of design dimensions on stated choice experiment estimates

Their papers

• Benefit Estimates for Landscape Improvements: Sequential Bayesian Design and Respondents’ Rationality in a Choice Experiment (2005) — 263 citations
• Incorporating Discontinuous Preferences into the Analysis of Discrete Choice Experiments (2008) — 281 citations
• Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness (2008) — 231 citations
• Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements (2009) — 129 citations
• Valuing the Recreational Benefits From the Creation of Nature Reserves in Irish Forests (2000) — 114 citations