Sebastian Caussade
Economics and Econometrics · 2005–2013
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 23 citations into it; #12,769 of 23,481 by trust here, #7,262 by citations
- Transportation — 12 citations into it
- General Decision Sciences — 8 citations into it; #1,021 of 1,995 by trust here, #549 by citations
- Marketing — 5 citations into it; #3,256 of 6,289 by trust here, #1,963 by citations
Whom Sebastian Caussade trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sebastian Caussade overall
- Stephane Hess
- David A. Hensher
- Roselinde Kessels
- Lixian Qian
- John M. Rose
- S. W. Broch
- C. Sauer
- D. Campbell
- Emmanouil Chaniotakis
- Riccardo Scarpa
Papers from Sebastian Caussade's perspective
Ordered by how strongly the researchers Sebastian Caussade trusts endorse each paper. Same corpus, a different order for every researcher.
- Modelling attribute non-attendance in choice experiments for rural landscape valuation
- Non-attendance to attributes in environmental choice analysis: a latent class specification
- On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice
- Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification
- Using Conditioning on Observed Choices to Retrieve Individual-Specific Attribute Processing Strategies
- The role of attribute processing strategies in estimating the preferences of road freight stakeholders
- Monitoring Choice Task Attribute Attendance in Nonmarket Valuation of Multiple Park Management Services: Does It Matter? (Land Economics)
- A discrete choice model with endogenous attribute attendance
- The implications on willingness to pay of respondents ignoring specific attributes
- Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model