R. Johnston
Economics and Econometrics · with Rosenberger · 2001–2018
A researcher in the Science corpus: 13 papers; trusts 20 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 201 citations into it; #9,875 of 23,481 by trust here, #3,351 by citations
- General Decision Sciences — 87 citations into it; #903 of 1,995 by trust here, #385 by citations
- Sociology and Political Science — 28 citations into it; #20,156 of 22,756 by trust here, #14,917 by citations
- Safety Research — 19 citations into it
- Statistics and Probability — 16 citations into it
- Management Science and Operations Research — 14 citations into it
- General Health Professions — 7 citations into it
Whom R. Johnston trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard T. Carson
- Riccardo Scarpa
- David A. Hensher
- Ian J. Bateman
- Joffre Swait
- Jordan J. Louviere
- R. Groves
- Kenneth Train
- Jackson Loomis
- P. Champ
Who trusts R. Johnston overall
- Robert Fonner
- C. Roheim
- Jackson Loomis
- Christian A. Vossler
- G. Sylvia
- Kevin J. Boyle
- Edward B. Barbier
- Danya Kim
- Luke Brander
- Richard T. Carson
Papers from R. Johnston's perspective
Ordered by how strongly the researchers R. Johnston trusts endorse each paper. Same corpus, a different order for every researcher.
- Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency
- Discrete Choice Models in Preference Space and Willingness-to Pay Space
- Discrete Choice Methods with Simulation by Kenneth E. Train
- What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?
- Alternative Non-market Value-Elicitation Methods: Are the Underlying Preferences the Same?
- Economic Valuation with Stated Preference Techniques: A Manual
- Modelling attribute non-attendance in choice experiments for rural landscape valuation
- A Comparison of Criteria to Design Efficient Choice Experiments
- Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?
- Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness
Their papers
- META‐ANALYSIS OF ECONOMICS RESEARCH REPORTING GUIDELINES (2013) — 468 citations
- Is hypothetical bias universal? Validating contingent valuation responses using a binding public referendum (2006) — 145 citations
- Willingness to Pay for Agricultural Land Preservation and Policy Process Attributes: Does the Method Matter? (2007) — 132 citations
- METHODS, TRENDS AND CONTROVERSIES IN CONTEMPORARY BENEFIT TRANSFER (2009) — 313 citations
- What Determines Willingness to Pay per Fish? A Meta-Analysis of Recreational Fishing Values (2006) — 182 citations
- Valuing Estuarine Resource Services Using Economic and Ecological Models: The Peconic Estuary System Study (2002) — 134 citations
- Benefit Transfer of Environmental and Resource Values - A Guide for Researchers and Practitioners (2015) — 213 citations
- A Framework for Assessing Direct Economic Impacts of Tourist Events: Distinguishing Origins, Destinations, and Causes of Expenditures (2001) — 229 citations
- Tourism Sustainability, Resiliency and Dynamics: Towards a More Comprehensive Perspective (2008) — 110 citations
- Contemporary Guidance for Stated Preference Studies (2017) — 1,464 citations
- Benefit relevant indicators: Ecosystem services measures that link ecological and social outcomes (2018) — 212 citations
- A Battle of Taste and Environmental Convictions for Ecolabeled Seafood: A Contingent Ranking Experiment (2006) — 147 citations
- MEASURING CONSUMER PREFERENCES FOR ECOLABELED SEAFOOD: AN INTERNATIONAL COMPARISON (2001) — 304 citations