Francisco Javier Amador

Personal Details

First Name:	Francisco Javier
Middle Name:
Last Name:	Amador
Suffix:
RePEc Short-ID:	pam110
	[This author has chosen not to make the email address public]
	+34 922 845 403

Affiliation

Facultad de Economía, Empresa y Turismo
Universidad de La Laguna

La Laguna, Spain
https://www.ull.es/view/centros/economiaturismo/Inicio/es
RePEc:edi:fculles (more details at EDIRC)

Citations

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Working papers

1. Francisco Javier Amador & Rosa Marina González & Juan de Dios Ortúzar, 2004. "Preference heterogeneity and willingness to pay for travel time," Documentos de trabajo conjunto ULL-ULPGC 2004-12, Facultad de Ciencias Económicas de la ULPGC.

   Cited by:

   1. Börjesson, Maria & Eliasson, Jonas, 2017. "Should values of time be differentiated?," Working papers in Transport Economics 2017:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
      • Maria Börjesson & Jonas Eliasson, 2019. "Should values of time be differentiated?," Transport Reviews, Taylor & Francis Journals, vol. 39(3), pages 357-375, May.
   2. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
   3. Daniel Toro González & Jorge Luis Alvis Arrieta & William Arellano Cartagena, 2007. "Transporte público en Cartagena: ¿Qué factores determinan las preferencias de los usuarios?," Documentos de Trabajo 4300, Universidad Tecnológica de Bolívar.
      • Toro González, Daniel & Alvis Arrieta, Jorge & Arellano Cartagena, William, 2004. "Transporte público en Cartagena: ¿Qué factores determinan las preferencias de los usuarios? [Public transportation in Cartagena: what factors determine user preferences? (in Spanish)]," MPRA Paper 1773, University Library of Munich, Germany, revised Feb 2005.

Articles

1. Rosa Marina González & Concepción Román & Francisco Javier Amador & Luis Ignacio Rizzi & Juan de Dios Ortúzar & Raquel Espino & Juan Carlos Martín & Elisabetta Cherchi, 2018. "Estimating the value of risk reductions for car drivers when pedestrians are involved: a case study in Spain," Transportation, Springer, vol. 45(2), pages 499-521, March.

   Cited by:

   1. Barrientos, Manuel & Lavin, Felipe Vasquez & Ponce Oliva, Roberto D., 2020. "Assessing the Incorporation of Latent Variables in the Estimation of the Value of a Statistical Life," EfD Discussion Paper 20-22, Environment for Development, University of Gothenburg.
   2. Subhan, Fazle & Ali, Yasir & Zhao, Shengchuan & Oviedo-Trespalacios, Oscar, 2023. "Understanding and modeling willingness-to-pay for public policies to enhance road safety: A perspective from Pakistan," Transport Policy, Elsevier, vol. 141(C), pages 182-196.

2. Román, Concepción & Martín, Juan Carlos & Espino, Raquel & Cherchi, Elisabetta & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & González, Rosa Marina & Amador, Francisco Javier, 2014. "Valuation of travel time savings for intercity travel: The Madrid-Barcelona corridor," Transport Policy, Elsevier, vol. 36(C), pages 105-117.

   Cited by:

   1. Moyano, Amparo & Martínez, Héctor S. & Coronado, José M., 2018. "From network to services: A comparative accessibility analysis of the Spanish high-speed rail system," Transport Policy, Elsevier, vol. 63(C), pages 51-60.
   2. Zhu, Siying & Jia, Shuai & Sun, Qinghe & Meng, Qiang, 2023. "An empirical study of China–Singapore International Land–Sea Trade Corridor: Analysis from supply and demand sides," Transport Policy, Elsevier, vol. 135(C), pages 1-10.
   3. Merkert, Rico & Beck, Matthew, 2017. "Value of travel time savings and willingness to pay for regional aviation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 29-42.
   4. Min Su & Weixin Luan & Zeyang Li & Shulin Wan & Zhenchao Zhang, 2019. "Evolution and Determinants of an Air Transport Network: A Case Study of the Chinese Main Air Transport Network," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
   5. Ibeas, A. & dell’Olio, L. & Bordagaray, M. & Ortúzar, J. de D., 2014. "Modelling parking choices considering user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 41-49.
   6. Van Acker, Veronique & Kessels, Roselinde & Palhazi Cuervo, Daniel & Lannoo, Steven & Witlox, Frank, 2020. "Preferences for long-distance coach transport: Evidence from a discrete choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 759-779.
   7. Chou, Jui-Sheng & Chien, Ya-Ling & Nguyen, Ngoc-Mai & Truong, Dinh-Nhat, 2018. "Pricing policy of floating ticket fare for riding high speed rail based on time-space compression," Transport Policy, Elsevier, vol. 69(C), pages 179-192.
   8. Hong, Seock-Jin & Najmi, Hossein, 2022. "Impact of High-speed rail on air travel demand between Dallas and Houston applying Monte Carlo simulation," Journal of Air Transport Management, Elsevier, vol. 102(C).
   9. Binsuwadan, Jawaher & Wardman, Mark & de Jong, Gerard & Batley, Richard & Wheat, Phill, 2023. "The income elasticity of the value of travel time savings: A meta-analysis," Transport Policy, Elsevier, vol. 136(C), pages 126-136.
   10. Pařil Vilém & Viturka Milan & Rederer Václav, 2023. "The change of commuting behaviour with planned high-speed railways in Czechia," Review of Economic Perspectives, Sciendo, vol. 23(1), pages 1-13, March.
   11. Min Su & Weixin Luan & Liuyan Yuan & Rui Zhang & Zhenchao Zhang, 2019. "Sustainability Development of High-Speed Rail and Airline—Understanding Passengers’ Preferences: A Case Study of the Beijing–Shanghai Corridor," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
   12. Duy Chinh Nguyen & Huu Dung Hoang & Huu Tien Hoang & Quang Trung Bui & Lan Phuong Nguyen, 2019. "Modal Preference in Ho Chi Minh City, Vietnam: An Experiment With New Modes of Transport," SAGE Open, , vol. 9(2), pages 21582440198, April.
   13. Henke, Ilaria & Moyano, Amparo & Pagliara, Francesca, 2023. "Influence of high-speed rail on the decentralisation of events from big metropolitan areas to smaller intermediate cities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
   14. Zhang, Yaoyu & Liu, Jin & Wang, Bo, 2022. "The impact of High-Speed Rails on urban expansion: An investigation using an SDID with dynamic effects method," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
   15. Maria Börjesson, 2014. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Transportation, Springer, vol. 41(2), pages 377-396, March.

3. Amador, Francisco Javier & González, Rosa Marina & Ramos-Real, Francisco Javier, 2013. "Supplier choice and WTP for electricity attributes in an emerging market: The role of perceived past experience, environmental concern and energy saving behavior," Energy Economics, Elsevier, vol. 40(C), pages 953-966.

   Cited by:

   1. Zemo, Kahsay Haile & Kassahun, Habtamu Tilahun & Olsen, Søren Bøye, 2019. "Determinants of willingness-to-pay for attributes of power outage - An empirical discrete choice experiment addressing implications for fuel switching in developing countries," Energy, Elsevier, vol. 174(C), pages 206-215.
   2. Andreas Ziegler, 2018. "Heterogeneous preferences and the individual change to alternative electricity contracts," MAGKS Papers on Economics 201827, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
   3. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
   4. Galassi, Veronica & Madlener, Reinhard, 2014. "Identifying Business Models for Photovoltaic Systems with Storage in the Italian Market: A Discrete Choice Experiment," FCN Working Papers 19/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
   5. Aweke, Abinet Tilahun & Navrud, Ståle, 2022. "Valuing energy poverty costs: Household welfare loss from electricity blackouts in developing countries," Energy Economics, Elsevier, vol. 109(C).
   6. Francisco Javier Ramos-Real & Alfredo A Ramírez-Díaz & Gustavo A Marrero & Yannick Perez, 2018. "Willingness to pay for electric vehicles in island regions: The case of Tenerife (Canary Islands)," Post-Print halshs-01980622, HAL.
      • Ramos-Real, Francisco J. & Ramírez-Díaz, Alfredo & Marrero, Gustavo A. & Perez, Yannick, 2018. "Willingness to pay for electric vehicles in island regions: The case of Tenerife (Canary Islands)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 140-149.
   7. Sagebiel, Julian, 2017. "Preference heterogeneity in energy discrete choice experiments: A review on methods for model selection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 804-811.
   8. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
   9. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Khosroshahi, Hossein & Altmann, Jörn, 2022. "An evolutionary game-theoretic approach to study the technological transformation of the industrial sector toward renewable electricity procurement: A case study of Iran," Applied Energy, Elsevier, vol. 318(C).
   10. Strazzera, Elisabetta & Meleddu, Daniela & Contu, Davide & Fornara, Ferdinando, 2024. "Willingness to pay for innovative heating/cooling systems: A comprehensive appraisal of drivers and barriers to adoption in Ireland and Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
   11. Kuang, Biao & Shi, Yangming & Hu, Yuqing & Zeng, Zhaoyun & Chen, Jianli, 2024. "Household energy resilience in extreme weather events: An investigation of energy service importance, HVAC usage behaviors, and willingness to pay," Applied Energy, Elsevier, vol. 363(C).
   12. Kalkbrenner, Bernhard J. & Yonezawa, Koichi & Roosen, Jutta, 2017. "Consumer preferences for electricity tariffs: Does proximity matter?," Energy Policy, Elsevier, vol. 107(C), pages 413-424.
   13. Taale, Francis & Kyeremeh, Christian, 2015. "Households' willingness to pay for reliable electricity services in Ghana," MPRA Paper 65780, University Library of Munich, Germany.
       • Taale, Francis & Kyeremeh, Christian, 2016. "Households׳ willingness to pay for reliable electricity services in Ghana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 280-288.
   14. Ndebele, Tom & Marsh, Dan & Scarpa, Riccardo, 2019. "Consumer switching in retail electricity markets: Is price all that matters?," Energy Economics, Elsevier, vol. 83(C), pages 88-103.
   15. Höwer, Daniel & Oberst, Christian A. & Madlener, Reinhard, 2017. "Regionalization Heuristic to Map Spatial Heterogeneity of Macroeconomic Impacts: The Case of the Green Energy Transition in NRW," FCN Working Papers 13/2017, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised 01 Feb 2019.
   16. Rommel, Jens & Sagebiel, Julian & Müller, Jakob R., 2016. "Quality uncertainty and the market for renewable energy: Evidence from German consumers," Renewable Energy, Elsevier, vol. 94(C), pages 106-113.
       • Rommel, Jens & Sagebiel, Julian & Müller, Jakob R., 2015. "Quality Uncertainty and the Market for Renewable Energy: Evidence from German Consumers," MPRA Paper 66195, University Library of Munich, Germany.
   17. Ziegler, Andreas, 2020. "Heterogeneous preferences and the individual change to alternative electricity contracts," Energy Economics, Elsevier, vol. 91(C).
   18. Martínez-Cruz, Adán L. & Núñez, Héctor M., 2021. "Tension in Mexico's energy transition: Are urban residential consumers in Aguascalientes willing to pay for renewable energy and green jobs?," Energy Policy, Elsevier, vol. 150(C).
   19. Gu, Yan & Ho, Kung-Cheng & Xia, Senmao & Yan, Cheng, 2022. "Do public environmental concerns promote new energy enterprises' development? Evidence from a quasi-natural experiment," Energy Economics, Elsevier, vol. 109(C).
   20. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
   21. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Ajayi, O.D. & Yusuff, A.A. & Mosetlhe, T.C., 2021. "Willingness to pay for green electricity derived from renewable energy sources in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
   22. Ortega-Izquierdo, Margarita & Paredes-Salvador, Andrés & Montoya-Rasero, Carlos, 2019. "Analysis of the decision making factors for heating and cooling systems in Spanish households," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 175-185.
   23. Oberst, Christian & Madlener, Reinhard, 2015. "Prosumer Preferences Regarding the Adoption of Micro‐Generation Technologies: Empirical Evidence for German Homeowners," FCN Working Papers 22/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
   24. Youmeng Wu & Hao Sun & Hongliang Sun & Chi Xie, 2022. "Impact of Public Environmental Concerns on the Digital Transformation of Heavily Polluting Enterprises," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
   25. Richard S. J. Tol, 2023. "Navigating the energy trilemma during geopolitical and environmental crises," Papers 2301.07671, arXiv.org.
   26. Cardella, Eric & Ewing, Brad & Williams, Ryan Blake, 2018. "Green is Good – The Impact of Information Nudges on the Adoption of Voluntary Green Power Plans," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266583, Southern Agricultural Economics Association.
   27. Motz, Alessandra, 2021. "Security of supply and the energy transition: The households' perspective investigated through a discrete choice model with latent classes," Energy Economics, Elsevier, vol. 97(C).
   28. Bertsch, Valentin & Harold, Jason & Fell, Harrison, 2019. "Consumer preferences for end-use specific curtailable electricity contracts on household appliances during peak load hours," Papers WP632, Economic and Social Research Institute (ESRI).
   29. Edyta Ropuszyńska-Surma & Magdalena Węglarz, 2018. "Profiling End User of Renewable Energy Sources among Residential Consumers in Poland," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
   30. Mark Tocock & Dugald Tinch & Darla Hatton MacDonald & John M. Rose, 2023. "Managing the energy trilemma of reliability, affordability and renewables: Assessing consumer demands with discrete choice experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 155-175, April.
   31. Motz, Alessandra, 2021. "Consumer acceptance of the energy transition in Switzerland: The role of attitudes explained through a hybrid discrete choice model," Energy Policy, Elsevier, vol. 151(C).
   32. Engler, Daniel & Groh, Elke D. & Ziegler, Andreas, 2019. "The causal effect of religious and environmental identity on green preferences: A combined priming and stated choice experiment," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203610, Verein für Socialpolitik / German Economic Association.
   33. Ziegler, Andreas, 2018. "Heterogeneous preferences and the individual change to alternative electricity tariffs," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181604, Verein für Socialpolitik / German Economic Association.
   34. Harold, Jason & Bertsch, Valentin & Fell, Harrison, 2021. "Preferences for curtailable electricity contracts: Can curtailment benefit consumers and the electricity system?," Energy Economics, Elsevier, vol. 102(C).
   35. Pleeging, Emma & van Exel, Job & Burger, Martijn J. & Stavropoulos, Spyridon, 2021. "Hope for the future and willingness to pay for sustainable energy," Ecological Economics, Elsevier, vol. 181(C).
   36. Carlsson, Fredrik & Kataria, Mitesh & Lampi, Elina & Martinsson, Peter, 2021. "Past and present outage costs – A follow-up study of households’ willingness to pay to avoid power outages," Resource and Energy Economics, Elsevier, vol. 64(C).
       • Carlsson, Fredrik & Kataria, Mitesh & Lampi, Elina & Martinsson, Peter, 2019. "Past and present outage costs – A follow-up study of households’ willingness to pay to avoid power outages," Working Papers in Economics 776, University of Gothenburg, Department of Economics.
   37. Menzel, Tobias & Teubner, Timm, 2024. "Signaling sustainability and regionality in the electricity market: An eye-tracking study on visual labels," Applied Energy, Elsevier, vol. 353(PB).
   38. Khan, Rana Asad Javid & Thaheem, Muhammad Jamaluddin & Ali, Tauha Hussain, 2020. "Are Pakistani homebuyers ready to adopt sustainable housing? An insight into their willingness to pay," Energy Policy, Elsevier, vol. 143(C).
   39. Ntona, Eirini & Arabatzis, Garyfallos & Kyriakopoulos, Grigorios L., 2015. "Energy saving: Views and attitudes of students in secondary education," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 1-15.
   40. Felipe Encinas & Carlos Marmolejo-Duarte & Elizabeth Wagemann & Carlos Aguirre, 2019. "Energy-Efficient Real Estate or How It Is Perceived by Potential Homebuyers in Four Latin American Countries," Sustainability, MDPI, vol. 11(13), pages 1-24, June.
   41. Ndebele, Tom, 2020. "Assessing the potential for consumer-driven renewable energy development in deregulated electricity markets dominated by renewables," Energy Policy, Elsevier, vol. 136(C).
   42. Bernadeta Gołębiowska, 2020. "Preferences for demand side management—a review of choice experiment studies," Working Papers 2020-05, Faculty of Economic Sciences, University of Warsaw.
   43. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).

4. Francisco Amador & Elisabetta Cherchi, 2011. "Econometric Effects of Utility Order-Preserving Transformations in Discrete Choice Models," Networks and Spatial Economics, Springer, vol. 11(3), pages 419-438, September.

   Cited by:

   1. Kabbashi M. Suliman, 2013. "Factors Affecting the Choice of Households’ Primary Cooking Fuel in Sudan," Working Papers 760, Economic Research Forum, revised Jun 2013.
   2. Juan de Dios Ortúzar & Elisabetta Cherchi & Luis Ignacio Rizzi, 2014. "Transport research needs," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 29, pages 688-698, Edward Elgar Publishing.
   3. Stephane Hess & Andrew Daly (ed.), 2014. "Handbook of Choice Modelling," Books, Edward Elgar Publishing, number 14820.
   4. Yao, Mingzhu & Wang, Donggen & Yang, Hai, 2017. "A game-theoretic model of car ownership and household time allocation," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 667-685.

5. Francisco Amador & Rosa González & Juan Dios Ortúzar, 2008. "On Confounding Preference Heterogeneity and Income Effect in Discrete Choice Models," Networks and Spatial Economics, Springer, vol. 8(2), pages 97-108, September.

   Cited by:

   1. Louis Grange & Felipe González & Ignacio Vargas & Rodrigo Troncoso, 2015. "A Logit Model With Endogenous Explanatory Variables and Network Externalities," Networks and Spatial Economics, Springer, vol. 15(1), pages 89-116, March.
   2. Francisco Amador & Elisabetta Cherchi, 2011. "Econometric Effects of Utility Order-Preserving Transformations in Discrete Choice Models," Networks and Spatial Economics, Springer, vol. 11(3), pages 419-438, September.
   3. Youyi Bi & Yunjian Qiu & Zhenghui Sha & Mingxian Wang & Yan Fu & Noshir Contractor & Wei Chen, 2021. "Modeling Multi-Year Customers’ Considerations and Choices in China’s Auto Market Using Two-Stage Bipartite Network Analysis," Networks and Spatial Economics, Springer, vol. 21(2), pages 365-385, June.
   4. Juan de Dios Ortúzar & Elisabetta Cherchi & Luis Ignacio Rizzi, 2014. "Transport research needs," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 29, pages 688-698, Edward Elgar Publishing.
   5. Agnivesh Pani & Prasanta K. Sahu & Furqan A. Bhat, 2021. "Assessing the Spatial Transferability of Freight (Trip) Generation Models across and within States of India: Empirical Evidence and Implications for Benefit Transfer," Networks and Spatial Economics, Springer, vol. 21(2), pages 465-493, June.
   6. Binsuwadan, Jawaher & Wardman, Mark & de Jong, Gerard & Batley, Richard & Wheat, Phill, 2023. "The income elasticity of the value of travel time savings: A meta-analysis," Transport Policy, Elsevier, vol. 136(C), pages 126-136.
   7. Kun Gao & Minhua Shao & Kay W. Axhausen & Lijun Sun & Huizhao Tu & Yihong Wang, 2022. "Inertia effects of past behavior in commuting modal shift behavior: interactions, variations and implications for demand estimation," Transportation, Springer, vol. 49(4), pages 1063-1097, August.
   8. Stephane Hess & Andrew Daly (ed.), 2014. "Handbook of Choice Modelling," Books, Edward Elgar Publishing, number 14820.
   9. Amador, Francisco Javier & González, Rosa Marina & Ramos-Real, Francisco Javier, 2013. "Supplier choice and WTP for electricity attributes in an emerging market: The role of perceived past experience, environmental concern and energy saving behavior," Energy Economics, Elsevier, vol. 40(C), pages 953-966.
   10. C. Angelo Guevara, 2017. "Mode-valued differences of in-vehicle travel time Savings," Transportation, Springer, vol. 44(5), pages 977-997, September.

6. Francisco Amador & Rosa González & Juan Ortúzar, 2005. "Preference Heterogeneity and Willingness to Pay for Travel Time Savings," Transportation, Springer, vol. 32(6), pages 627-647, November.

   Cited by:

   1. Börjesson, Maria & Eliasson, Jonas, 2017. "Should values of time be differentiated?," Working papers in Transport Economics 2017:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
      • Maria Börjesson & Jonas Eliasson, 2019. "Should values of time be differentiated?," Transport Reviews, Taylor & Francis Journals, vol. 39(3), pages 357-375, May.
   2. Rojo, Marta & Gonzalo-Orden, Hernán & dell’Olio, Luigi & Ibeas, Ángel, 2012. "Relationship between service quality and demand for inter-urban buses," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1716-1729.
   3. Mahmud, Asif & Gayah, Vikash V. & Paleti, Rajesh, 2022. "A latent choice model to analyze the role of preliminary preferences in shaping observed choices," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 95-108.
   4. Phoebe Koundouri & Yannis Kountouris & Mavra Stithou, 2012. "A Choice Experiments Application in Transport Infrastructure: A Case Study on Travel Time Savings, Accidents and Pollution Reduction," DEOS Working Papers 1227, Athens University of Economics and Business.
      • Koundouri, Phoebe & Kountouris, Yannis & Stithou, Mavra, 2012. "A Choice Experiments Application in Transport Infrastructure: A Case Study on Travel Time Savings, Accidents and Pollution Reduction," MPRA Paper 38274, University Library of Munich, Germany.
      • Marva Stithou & Yiannis Kountouris & Phoebe Koundouri, 2011. "A Choice Experiments Application in Transport Infrastructure: A case study on travel time savings, accidents and pollution reduction," DEOS Working Papers 1116, Athens University of Economics and Business.
   5. Weibo Li & Maria Kamargianni, 2020. "An Integrated Choice and Latent Variable Model to Explore the Influence of Attitudinal and Perceptual Factors on Shared Mobility Choices and Their Value of Time Estimation," Transportation Science, INFORMS, vol. 54(1), pages 62-83, January.
   6. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
   7. Chenfeng Xiong & Lei Zhang, 2017. "Dynamic travel mode searching and switching analysis considering hidden model preference and behavioral decision processes," Transportation, Springer, vol. 44(3), pages 511-532, May.
   8. Ibeas, A. & dell’Olio, L. & Bordagaray, M. & Ortúzar, J. de D., 2014. "Modelling parking choices considering user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 41-49.
   9. José Luis Espinosa-Aranda & Ricardo García-Ródenas & María Luz López-García & Eusebio Angulo, 2018. "Constrained nested logit model: formulation and estimation," Transportation, Springer, vol. 45(5), pages 1523-1557, September.
   10. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
   11. Li, Weibo & Kamargianni, Maria, 2018. "Providing quantified evidence to policy makers for promoting bike-sharing in heavily air-polluted cities: A mode choice model and policy simulation for Taiyuan-China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 277-291.
   12. Kiran Krishnamurthy, Chandra & Kriström, Bengt, 2013. "Determinants of the price-premium for Green Energy: Evidence from an OECD cross-section," CERE Working Papers 2013:7, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
   13. Mariel, Petr & Ayala, Amaya de & Hoyos, David & Abdullah, Sabah, 2013. "Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment," Journal of choice modelling, Elsevier, vol. 7(C), pages 44-57.
       • Mariel Chladkova, Petr & De Ayala Bilbao, Amaya & Hoyos Ramos, David & Abdullah, Sabah, 2010. "Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
   14. Colombo, Sergio & Hanley, Nicholas & Louviere, Jordan, 2008. "Modelling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Stirling Economics Discussion Papers 2008-28, University of Stirling, Division of Economics.
       • Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
   15. Kun Gao & Minhua Shao & Kay W. Axhausen & Lijun Sun & Huizhao Tu & Yihong Wang, 2022. "Inertia effects of past behavior in commuting modal shift behavior: interactions, variations and implications for demand estimation," Transportation, Springer, vol. 49(4), pages 1063-1097, August.
   16. Broberg, Thomas & Kazukauskas, Andrius, 2014. "Inefficiencies in residential use of energy - A critical overview of literature and energy efficiency policies in EU and Sweden," CERE Working Papers 2014:7, CERE - the Center for Environmental and Resource Economics.
   17. Arata, Linda & Diluiso, Francesca & Guastella, Gianni & Pareglio, Stefano & Sckokai, Paolo, 2021. "Willingness to pay for alternative features of land-use policies: the case of the lake Garda region," Land Use Policy, Elsevier, vol. 100(C).
   18. Lukas Leitner, 2024. "Imprecision in the Estimation of Willingness to Pay Using Subjective Well-Being Data," Journal of Happiness Studies, Springer, vol. 25(7), pages 1-40, October.
   19. Francisco Amador & Rosa González & Juan Dios Ortúzar, 2008. "On Confounding Preference Heterogeneity and Income Effect in Discrete Choice Models," Networks and Spatial Economics, Springer, vol. 8(2), pages 97-108, September.
   20. Chandra Kiran B. Krishnamurthy & Bengt Kriström, 2016. "Determinants of the Price-Premium for Green Energy: Evidence from an OECD Cross-Section," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(2), pages 173-204, June.
   21. Yáñez, M.F. & Raveau, S. & Ortúzar, J. de D., 2010. "Inclusion of latent variables in Mixed Logit models: Modelling and forecasting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 744-753, November.
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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper 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 (1) 2005-01-16
2. NEP-MIC: Microeconomics (1) 2005-01-16

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