D. Campbell
Economics and Econometrics · with Scarpa · 2005–2017
A researcher in the Science corpus: 8 papers; trusts 33 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 133 citations into it; #1,872 of 23,481 by trust here, #3,749 by citations
- General Decision Sciences — 49 citations into it; #364 of 1,995 by trust here, #571 by citations
- Marketing — 46 citations into it; #3,795 of 6,289 by trust here, #5,492 by citations
- Transportation — 35 citations into it
- Management, Monitoring, Policy and Law — 17 citations into it; #1,523 of 2,821 by trust here, #2,275 by citations
- Global and Planetary Change — 13 citations into it; #855 of 10,225 by trust here, #3,762 by citations
- Management Science and Operations Research — 10 citations into it
- Statistics and Probability — 7 citations into it
Whom D. Campbell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David A. Hensher
- Riccardo Scarpa
- Kenneth Train
- Silvia Ferrini
- Zsolt Sándor
- William H. Greene
- John M. Rose
- Ian J. Bateman
- Chandra R. Bhat
- M. Wedel
Who trusts D. Campbell overall
- Riccardo Scarpa
- David A. Hensher
- Stephane Hess
- P. Weller
- W. Hutchinson
- Vincenzina Caputo
- J. Abildtrup
- Richard T. Yao
- John M. Rose
- H. Sælen
Papers from D. Campbell's perspective
Ordered by how strongly the researchers D. Campbell 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
- Designing Conjoint Choice Experiments Using Managers' Prior Beliefs
- Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model
- Discrete Choice Methods with Simulation by Kenneth E. Train
- Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences
- Assessing the influence of design dimensions on stated choice experiment estimates
- A New Approach to Consumer Theory
- On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice
- Modelling attribute non-attendance in choice experiments for rural landscape valuation
Their papers
- Modelling attribute non-attendance in choice experiments for rural landscape valuation (2009) — 419 citations
- Non-attendance to attributes in environmental choice analysis: a latent class specification (2011) — 231 citations
- 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
- Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random-Effects Models (2007) — 234 citations
- It’s not that I don’t care, I just don’t care very much: confounding between attribute non-attendance and taste heterogeneity (2013) — 168 citations
- Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements (2009) — 129 citations
- Spatial Heterogeneity of Willingness to Pay for Forest Management (2017) — 129 citations