Juan de Dios Ortúzar

Economics and Econometrics · 2001–2020

A researcher in the Science corpus: 14 papers; trusts 19 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 61 citations into it; #2,289 of 23,481 by trust here, #2,521 by citations
• Transportation — 41 citations into it; #90 of 2,062 by trust here, #152 by citations
• Marketing — 17 citations into it; #1,943 of 6,289 by trust here, #1,448 by citations
• General Decision Sciences — 10 citations into it; #293 of 1,995 by trust here, #273 by citations
• Applied Psychology — 6 citations into it
• Management, Monitoring, Policy and Law — 6 citations into it; #1,845 of 2,821 by trust here, #2,513 by citations
• Management Science and Operations Research — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Juan de Dios Ortúzar trusts overall

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

1. Kenneth Train
2. David A. Hensher
3. Chandra R. Bhat
4. M. Sillano
5. Joan L. Walker
6. Daniel McFadden
7. Zsolt Sándor
8. John M. Rose
9. Jordan J. Louviere
10. Michel Bierlaire

Who trusts Juan de Dios Ortúzar overall

1. Stephane Hess
2. David A. Hensher
3. Christiaan Behrens
4. John M. Rose
5. Nicolò Daina
6. Ricardo A. Daziano
7. Sebastián Raveau
8. M. F. Yáñez
9. Denis Bolduc
10. Michiel C. J. Bliemer

Papers from Juan de Dios Ortúzar's perspective

Ordered by how strongly the researchers Juan de Dios Ortúzar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model
2. Discrete Choice Methods with Simulation by Kenneth E. Train
3. Designing Conjoint Choice Experiments Using Managers' Prior Beliefs
4. Combining sources of preference data
5. Constructing Efficient Stated Choice Experimental Designs
6. Allowing for intra-respondent variations in coefficients estimated on repeated choice data
7. A Comparison of Criteria to Design Efficient Choice Experiments
8. Measurement of the Valuation of Travel Time Savings (Journal of Transport Economics and Policy)
9. A Hierarchical Bayes Model of Primary and Secondary Demand
10. Construction of experimental designs for mixed logit models allowing for correlation across choice observations

Their papers

• Assessing the influence of design dimensions on stated choice experiment estimates (2005) — 633 citations
• A semi-compensatory discrete choice model with explicit attribute thresholds of perception (2005) — 165 citations
• Confidence intervals to bound the value of time (2001) — 164 citations
• Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence (2005) — 351 citations
• Mixed RP/SP models incorporating interaction effects (2002) — 85 citations
• Practical and empirical identifiability of hybrid discrete choice models (2012) — 65 citations
• On the Treatment of Repeated Observations in Panel Data: Efficiency of Mixed Logit Parameter Estimates (2011) — 65 citations
• Modelling the demand for medium distance air travel with the mixed data estimation method (2008) — 58 citations
• The role of habit and the built environment in the willingness to commute by bicycle (2020) — 91 citations
• The role of critical incidents and involvement in transit satisfaction and loyalty (2019) — 145 citations
• About attitudes and perceptions: finding the proper way to consider latent variables in discrete choice models (2015) — 141 citations
• Modelling Transport: Ortúzar/Modelling Transport (2011) — 894 citations
• Sequential and Simultaneous Estimation of Hybrid Discrete Choice Models (2010) — 199 citations
• Estimating the willingness-to-pay and value of risk reduction for car occupants in the road environment (2009) — 116 citations