Details about Cristian Angelo Guevara

Access statistics for papers by Cristian Angelo Guevara.

Last updated 2025-02-07. Update your information in the RePEc Author Service.

Short-id: pgu425

Journal Articles

2023

1. A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems
   Journal of choice modelling, 2023, 46, (C) View citations (1)

2022

2. Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models
   Journal of choice modelling, 2022, 42, (C) View citations (1)
3. Designed quadrature to approximate integrals in maximum simulated likelihood estimation
   (Evaluating simulation-based approaches and multivariate quadrature on sparse grids in estimating multivariate binary probit models)
   The Econometrics Journal, 2022, 25, (2), 301-321 View citations (1)
4. The effect of dynamic lockdowns on public transport demand in times of COVID-19: Evidence from smartcard data
   Transport Policy, 2022, 126, (C), 136-150 View citations (4)

2021

5. A discrete choice modeling approach to measure susceptibility and subjective valuation of the decoy effect, with an application to route choice
   Journal of choice modelling, 2021, 38, (C)
6. Paving the road for electric vehicles: Lessons from a randomized experiment in an introduction stage market
   Transportation Research Part A: Policy and Practice, 2021, 153, (C), 326-340 View citations (3)

2020

7. Combining multiple imputation and control function methods to deal with missing data and endogeneity in discrete-choice models
   Transportation Research Part B: Methodological, 2020, 142, (C), 45-57 View citations (5)
8. Correcting for endogeneity due to omitted crowding in public transport choice using the Multiple Indicator Solution (MIS) method
   Transportation Research Part A: Policy and Practice, 2020, 137, (C), 472-484 View citations (6)
9. Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys
   Journal of choice modelling, 2020, 34, (C) View citations (4)

2019

10. A control-function approach to correct for endogeneity in discrete choice models estimated on SP-off-RP data and contrasts with an earlier FIML approach by Train & Wilson
    Transportation Research Part B: Methodological, 2019, 123, (C), 224-239 View citations (15)

2018

11. Modeling safety as a perceptual latent variable to assess cycling infrastructure
    Transportation Research Part A: Policy and Practice, 2018, 111, (C), 252-265 View citations (24)
12. Overidentification tests for the exogeneity of instruments in discrete choice models
    Transportation Research Part B: Methodological, 2018, 114, (C), 241-253 View citations (16)
13. The initial condition problem with complete history dependency in learning models for travel choices
    Transportation Research Part B: Methodological, 2018, 117, (PB), 850-861 View citations (1)

2017

14. Mode-valued differences of in-vehicle travel time Savings
    Transportation, 2017, 44, (5), 977-997 View citations (10)

2016

15. Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data
    Journal of choice modelling, 2016, 20, (C), 1-15 View citations (17)
16. Modeling the decoy effect with context-RUM Models: Diagrammatic analysis and empirical evidence from route choice SP and mode choice RP case studies
    Transportation Research Part B: Methodological, 2016, 93, (PA), 318-337 View citations (14)
17. Modelling choice when price is a cue for quality: a case study with Chinese consumers
    Journal of choice modelling, 2016, 19, (C), 24-39 View citations (12)
18. Sampling of Alternatives in Random Regret Minimization Models
    Transportation Science, 2016, 50, (1), 306-321 View citations (9)

2015

19. Critical assessment of five methods to correct for endogeneity in discrete-choice models
    Transportation Research Part A: Policy and Practice, 2015, 82, (C), 240-254 View citations (67)
20. New insights on random regret minimization models
    Transportation Research Part A: Policy and Practice, 2015, 74, (C), 91-109 View citations (37)

2014

21. Tactical design of high-demand bus transfers
    Transport Policy, 2014, 32, (C), 16-24

2013

22. Sampling of alternatives in Logit Mixture models
    Transportation Research Part B: Methodological, 2013, 58, (C), 185-198 View citations (34)
23. Sampling of alternatives in Multivariate Extreme Value (MEV) models
    Transportation Research Part B: Methodological, 2013, 48, (C), 31-52 View citations (33)

2012

24. A Monte Carlo experiment to analyze the curse of dimensionality in estimating random coefficients models with a full variance–covariance matrix
    Transportation Research Part B: Methodological, 2012, 46, (2), 321-332 View citations (23)
25. Change of Scale and Forecasting with the Control-Function Method in Logit Models
    Transportation Science, 2012, 46, (3), 425-437 View citations (31)

2011

26. Congestion pricing, transit subsidies and dedicated bus lanes: Efficient and practical solutions to congestion
    Transport Policy, 2011, 18, (5), 676-684 View citations (29)

2007

27. Multiple classification analysis in trip production models
    Transport Policy, 2007, 14, (6), 514-522 View citations (9)

2003

28. Behind the Subjective Value of Travel Time Savings
    Journal of Transport Economics and Policy, 2003, 37, (1), 29-46 View citations (45)