IDEAS home Printed from https://ideas.repec.org/f/pda605.html
   My authors  Follow this author

Ricardo A. Daziano

Personal Details

First Name:Ricardo
Middle Name:A.
Last Name:Daziano
Suffix:
RePEc Short-ID:pda605
http://www.cee.cornell.edu/research/groups/daziano/

Affiliation

Cornell University, School of Civil and Environmental Engineering

http://www.cee.cornell.edu
Ithaca, NY

Research output

as
Jump to: Working papers Articles

Working papers

  1. Daziano, Ricardo A. & Sarrias, Mauricio & Leard, Benjamin, 2016. "Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles," RFF Working Paper Series dp-16-35, Resources for the Future.
  2. Daziano, Ricardo A. & Achtnicht, Martin, 2013. "Accounting for uncertainty in willingness to pay for environmental benefits," ZEW Discussion Papers 13-059, ZEW - Leibniz Centre for European Economic Research.
  3. Daziano, Ricardo A. & Achtnicht, Martin, 2012. "Forecasting adoption of ultra-low-emission vehicles using the GHK simulator and Bayes estimates of a multinomial probit model," ZEW Discussion Papers 12-017, ZEW - Leibniz Centre for European Economic Research.
  4. Philippe Barla & Nathanaël Lapierre & Ricardo Alvarez Daziano & Markus Herrmann, 2012. "Reducing Automobile Dependency on Campus: Evaluating the Impact TDM Using Stated Preferences," Cahiers de recherche CREATE 2012-3, CREATE.

Articles

  1. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.
  2. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Extending the logit-mixed logit model for a combination of random and fixed parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 88-96.
  3. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.
  4. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
  5. Patil, Priyadarshan N. & Dubey, Subodh K. & Pinjari, Abdul R. & Cherchi, Elisabetta & Daziano, Ricardo & Bhat, Chandra R., 2017. "Simulation evaluation of emerging estimation techniques for multinomial probit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 9-20.
  6. Laura N. Rickard & Z. Janet Yang & Jonathon P. Schuldt & Gina M. Eosco & Clifford W. Scherer & Ricardo A. Daziano, 2017. "Sizing Up a Superstorm: Exploring the Role of Recalled Experience and Attribution of Responsibility in Judgments of Future Hurricane Risk," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2334-2349, December.
  7. Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs & Daziano, Ricardo A., 2017. "Estimation of crowding discomfort in public transport: Results from Santiago de Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 311-326.
  8. Chiew, Esther & Daziano, Ricardo A. & Garrow, Laurie A., 2017. "Bayesian estimation of hazard models of airline passengers’ cancellation behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 154-167.
  9. Begoña Muñoz & Andres Monzon & Ricardo A. Daziano, 2016. "The Increasing Role of Latent Variables in Modelling Bicycle Mode Choice," Transport Reviews, Taylor & Francis Journals, vol. 36(6), pages 737-771, November.
  10. Chiew, Esther & Daziano, Ricardo A., 2016. "A Bayes multinomial probit model for random consumer-surplus maximization," Journal of choice modelling, Elsevier, vol. 21(C), pages 56-59.
  11. Motoaki, Yutaka & Daziano, Ricardo A., 2015. "A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 217-230.
  12. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
  13. Philippe Barla & Nathanael Lapierre & Ricardo A. Daziano & Markus Herrmann, 2015. "Reducing Automobile Dependency on Campus Using Transport Demand Management: A Case Study for Quebec City," Canadian Public Policy, University of Toronto Press, vol. 41(1), pages 86-96, March.
  14. Chen Wang & Ricardo Daziano, 2015. "On the problem of measuring discount rates in intertemporal transportation choices," Transportation, Springer, vol. 42(6), pages 1019-1038, November.
  15. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
  16. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.
  17. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.
  18. Ricardo Daziano & Denis Bolduc, 2013. "Covariance, identification, and finite-sample performance of the MSL and Bayes estimators of a logit model with latent attributes," Transportation, Springer, vol. 40(3), pages 647-670, May.
  19. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.
  20. Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DCM: Discrete Choice Models (2) 2012-03-28 2013-09-13
  2. NEP-ECM: Econometrics (2) 2012-03-28 2013-09-13
  3. NEP-ENE: Energy Economics (2) 2012-03-28 2013-09-13
  4. NEP-ENV: Environmental Economics (2) 2012-03-28 2013-09-13
  5. NEP-AGR: Agricultural Economics (1) 2013-09-13
  6. NEP-FOR: Forecasting (1) 2012-03-28
  7. NEP-REG: Regulation (1) 2013-09-13
  8. NEP-TRE: Transport Economics (1) 2013-09-13
  9. NEP-UPT: Utility Models and Prospect Theory (1) 2013-09-13

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Ricardo A. Daziano should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.