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Thijs Dekker

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Thijs Dekker & Paul (P.R.) Koster & Niek Mouter, 2019. "The economics of participatory value evaluation," Tinbergen Institute Discussion Papers 19-008/VIII, Tinbergen Institute.

    Cited by:

    1. Niek Mouter & Paul Koster & Thijs Dekker, 2019. "Participatory Value Evaluation versus Cost-Benefit Analysis: comparing recommendations in the context of urban mobility investments," Tinbergen Institute Discussion Papers 19-046/VIII, Tinbergen Institute, revised 27 Jan 2020.
    2. Collewet, Marion & Koster, Paul, 2023. "Preference estimation from point allocation experiments," Journal of choice modelling, Elsevier, vol. 48(C).
    3. Niek Mouter & Paul Koster & Thijs Dekker, 2019. "An introduction to Participatory Value Evaluation," Tinbergen Institute Discussion Papers 19-024/V, Tinbergen Institute, revised 15 Dec 2019.
    4. Bahamonde-Birke, Francisco J. & Geigenmüller, Iris M. & Mouter, Niek & van Lierop, Dea S. & Ettema, Dick F., 2024. "How do I want the city council to spend our budget? Conceiving MaaS from a citizen's perspective … (as well as biking infrastructure and public transport)," Transport Policy, Elsevier, vol. 145(C), pages 96-104.
    5. Hernandez, Jose Ignacio & van Cranenburgh, Sander & Chorus, Caspar & Mouter, Niek, 2023. "Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments," Journal of choice modelling, Elsevier, vol. 46(C).
    6. Boxebeld, Sander & Geijsen, Tom & Tuit, Charlotte & Exel, Job van & Makady, Amr & Maes, Laurence & van Agthoven, Michel & Mouter, Niek, 2024. "Public preferences for the allocation of societal resources over different healthcare purposes," Social Science & Medicine, Elsevier, vol. 341(C).
    7. Mulderij, Lisanne S. & Hernández, José Ignacio & Mouter, Niek & Verkooijen, Kirsten T. & Wagemakers, Annemarie, 2021. "Citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income," Social Science & Medicine, Elsevier, vol. 280(C).
    8. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).

  2. Niek Mouter & Paul Koster & Thijs Dekker, 2019. "Participatory Value Evaluation versus Cost-Benefit Analysis: comparing recommendations in the context of urban mobility investments," Tinbergen Institute Discussion Papers 19-046/VIII, Tinbergen Institute, revised 27 Jan 2020.

    Cited by:

    1. Mulderij, Lisanne S. & Hernández, José Ignacio & Mouter, Niek & Verkooijen, Kirsten T. & Wagemakers, Annemarie, 2021. "Citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income," Social Science & Medicine, Elsevier, vol. 280(C).

  3. Niek Mouter & Paul Koster & Thijs Dekker, 2019. "An introduction to Participatory Value Evaluation," Tinbergen Institute Discussion Papers 19-024/V, Tinbergen Institute, revised 15 Dec 2019.

    Cited by:

    1. Mulderij, Lisanne S. & Hernández, José Ignacio & Mouter, Niek & Verkooijen, Kirsten T. & Wagemakers, Annemarie, 2021. "Citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income," Social Science & Medicine, Elsevier, vol. 280(C).

  4. Paul Koster & Stefanie Peer & Thijs Dekker, 2014. "Memory, Expectation Formation and Scheduling Choices," Tinbergen Institute Discussion Papers 14-154/VIII, Tinbergen Institute.

    Cited by:

    1. Geng, Kexin & Wang, Yacan & Cherchi, Elisabetta & Guarda, Pablo, 2023. "Commuter departure time choice behavior under congestion charge: Analysis based on cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    2. Tscharaktschiew, Stefan, 2016. "The private (unnoticed) welfare cost of highway speeding behavior from time saving misperceptions," Economics of Transportation, Elsevier, vol. 7, pages 24-37.
    3. Ondřej Krčál & Rostislav Staněk & Bára Karlínová & Stefanie Peer, 2019. "Real consequences matters: why hypothetical biases in the valuation of time persist even in controlled lab experiments," MUNI ECON Working Papers 2019-03, Masaryk University, revised Feb 2023.
    4. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

  5. Thijs Dekker & Rob Dellink & Janina Ketterer, 2013. "The Fatter the Tail, the Fatter the Climate Agreement - Simulating the Influence of Fat Tails in Climate Change Damages on the Success of International Climate Negotiations," CESifo Working Paper Series 4059, CESifo.

    Cited by:

    1. David Anthoff & Richard S. J. Tol, 2021. "Testing the Dismal Theorem," CESifo Working Paper Series 8939, CESifo.
    2. Valeria Costantini & Anil Markandya & Elena Paglialunga & Giorgia Sforna, 2018. "Impact and distribution of climatic damages: a methodological proposal with a dynamic CGE model applied to global climate negotiations," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 809-843, December.
    3. Jasper N. Meya & Ulrike Kornek & Kai Lessmann, 2018. "How empirical uncertainties influence the stability of climate coalitions," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(2), pages 175-198, April.

  6. Dekker, T. & Koster, P.R. & Brouwer, R., 2012. "Changing with the tide: Semi-parametric estimation of preference dynamics," Serie Research Memoranda 0005, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    Cited by:

    1. Boxebeld, Sander, 2024. "Ordering effects in discrete choice experiments: A systematic literature review across domains," Journal of choice modelling, Elsevier, vol. 51(C).
    2. Koster, Paul R. & Koster, Hans R.A., 2015. "Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 289-301.
    3. Paul Koster & Hans Koster, 2013. "Commuters' Preferences for Fast and Reliable Travel," Tinbergen Institute Discussion Papers 13-075/VIII, Tinbergen Institute, revised 30 Apr 2015.
    4. Wiktor Budziński & Danny Campbell & Mikołaj Czajkowski & Urška Demšar & Nick Hanley, 2016. "Using geographically weighted choice models to account for spatial heterogeneity of preferences," Working Papers 2016-17, Faculty of Economic Sciences, University of Warsaw.
    5. Tobias Börger & Kolobe Mmonwa & Danny Campbell, 2024. "Hazardous human–wildlife encounters, risk attitudes, and the value of shark nets for coastal recreation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 925-945, March.
    6. Mark J. Koetse & Roy Brouwer, 2016. "Reference Dependence Effects on WTA and WTP Value Functions and Their Disparity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 723-745, December.
    7. Amaris, Gloria & Vesely, Stepan & Hess, Stephane & Klöckner, Christian A., 2024. "Can competing demands affect pro-environmental behaviour: a study of the impact of exposure to partly related sequential experiments," Ecological Economics, Elsevier, vol. 216(C).
    8. Wiktor Budziński & Mikołaj Czajkowski, 2018. "A Monte Carlo investigation of the effects of spatial heterogeneity of preferences for discrete choice models," Working Papers 2018-24, Faculty of Economic Sciences, University of Warsaw.
    9. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    10. Wiktor Budziński & Mikołaj Czajkowski, 2021. "Accounting for Spatial Heterogeneity of Preferences in Discrete Choice Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(1), pages 1-24, March.
    11. Czajkowski, Mikołaj & Barczak, Anna & Budziński, Wiktor & Giergiczny, Marek & Hanley, Nick, 2016. "Preference and WTP stability for public forest management," Forest Policy and Economics, Elsevier, vol. 71(C), pages 11-22.
    12. Lauren Chenarides & Carola Grebitus & Jayson L Lusk & Iryna Printezis, 2022. "A calibrated choice experiment method," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(5), pages 971-1004.

  7. Thijs Dekker & Herman R.J. Vollebergh & Frans P. de Vries & Cees A. Withagen, 2009. "Inciting Protocols - How International Environmental Agreements Trigger Knowledge Transfers," Tinbergen Institute Discussion Papers 09-060/3, Tinbergen Institute, revised 29 Nov 2010.

    Cited by:

    1. Antoine Dechezlepr�tre & Richard Perkins & Eric Neumayer, 2012. "Regulatory distance and the transfer of new environmentally sound technologies: evidence from the automobile sector," GRI Working Papers 73, Grantham Research Institute on Climate Change and the Environment.

  8. Rob Dellink & Michel den Elzen & Harry Aiking & Emmy Bergsma & Frans Berkhout & Thijs Dekker & Joyeeta Gupta, 2009. "Sharing the Burden of Adaptation Financing: An Assessment of the Contributions of Countries," Working Papers 2009.59, Fondazione Eni Enrico Mattei.

    Cited by:

    1. Heuson, Clemens & Gawel, Erik & Gebhardt, Oliver & Hansjürgens, Bernd & Lehmann, Paul & Meyer, Volker & Schwarze, Reimund, 2012. "Fundamental questions on the economics of climate adaptation: Outlines of a new research programme," UFZ Reports 05/2012, Helmholtz Centre for Environmental Research (UFZ).
    2. Heuson, Clemens & Gawel, Erik & Gebhardt, Oliver & Hansjürgens, Bernd & Lehmann, Paul & Meyer, Volker & Schwarze, Reimund, 2012. "Ökonomische Grundfragen der Klimaanpassung: Umrisse eines neuen Forschungsprogramms," UFZ Reports 02/2012, Helmholtz Centre for Environmental Research (UFZ).

Articles

  1. Guevara, C. Angelo & Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs, 2020. "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, Elsevier, vol. 137(C), pages 472-484.

    Cited by:

    1. de Grange, Louis & González, Felipe & Marechal, Matthieu & Troncoso, Rodrigo, 2024. "Estimating multinomial logit models with endogenous variables: Control function versus two adapted approaches," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    2. Mariel, Petr & Khan, Mohammad Asif & Meyerhoff, Jürgen, 2022. "Valuing individuals’ preferences for air quality improvement: Evidence from a discrete choice experiment in South Delhi," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 432-447.
    3. Fukushi, Mitsuyoshi & Delgado, Felipe & Raveau, Sebastián, 2024. "Impact of omitted variable and simultaneous estimation endogeneity in choice-based revenue management systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    4. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    5. Batarce, Marco, 2024. "Estimation of discrete choice models with error in variables: An application to revealed preference data with aggregate service level variables," Transportation Research Part B: Methodological, Elsevier, vol. 185(C).
    6. Petr Mariel & Linda Arata, 2022. "Incorporating attitudes into the evaluation of preferences regarding agri‐environmental practices," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 430-451, June.

  2. Capurso, Mauro & Hess, Stephane & Dekker, Thijs, 2019. "Modelling the role of consideration of alternatives in mode choice: An application on the Rome-Milan corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 170-184.

    Cited by:

    1. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2023. "Probabilistic choice set formation incorporating activity spaces into the context of mode and destination choice modelling," Journal of Transport Geography, Elsevier, vol. 108(C).
    2. Huan, Ning & Yamamoto, Toshiyuki & Yao, Enjian, 2023. "Seamless air-HSR intermodal solution: Behavioural model-based scheduling of airline timetable and airfare," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    3. Edenbrandt, Anna Kristina & Lagerkvist, Carl-Johan & Lüken, Malte & Orquin, Jacob L., 2022. "Seen but not considered? Awareness and consideration in choice analysis," Journal of choice modelling, Elsevier, vol. 45(C).
    4. 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.
    5. Masanobu Kii & Varameth Vichiensan & Carlos Llorca & Ana Moreno & Rolf Moeckel & Yoshitsugu Hayashi, 2021. "Impact of Decentralization and Rail Network Extension on Future Traffic in the Bangkok Metropolitan Region," Sustainability, MDPI, vol. 13(23), pages 1-24, November.
    6. Rich, Jeppe & Fox, James, 2024. "Cost sharing in passenger transport models: specification, implementation, and impacts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    7. Masanobu Kii & Yuki Goda & Varameth Vichiensan & Hiroyuki Miyazaki & Rolf Moeckel, 2021. "Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand," Sustainability, MDPI, vol. 13(12), pages 1-16, June.

  3. Martin-Ortega, Julia & Dekker, Thijs & Ojea, Elena & Lorenzo-Arribas, Altea, 2019. "Dissecting price setting efficiency in Payments for Ecosystem Services: A meta-analysis of payments for watershed services in Latin America," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.

    Cited by:

    1. Ding, Zhenmin & Yao, Shunbo, 2021. "Ecological effectiveness of payment for ecosystem services to identify incentive priority areas: Sloping land conversion program in China," Land Use Policy, Elsevier, vol. 104(C).
    2. Yu Lu & Fanbin Kong & Luchen Huang & Kai Xiong & Caiyao Xu & Ben Wang, 2021. "Evaluation of the Implementation Effect of the Ecological Compensation Policy in the Poyang Lake River Basin Based on Difference-in-Difference Method," Sustainability, MDPI, vol. 13(15), pages 1-14, August.
    3. Bingham, Logan Robert, 2021. "Vittel as a model case in PES discourse: Review and critical perspective," Ecosystem Services, Elsevier, vol. 48(C).
    4. Benra, F. & Nahuelhual, L. & Felipe-Lucia, M. & Jaramillo, A. & Jullian, C. & Bonn, A., 2022. "Balancing ecological and social goals in PES design – Single objective strategies are not sufficient," Ecosystem Services, Elsevier, vol. 53(C).

  4. Jensen, Anders Fjendbo & Thorhauge, Mikkel & de Jong, Gerard & Rich, Jeppe & Dekker, Thijs & Johnson, Daniel & Cabral, Manuel Ojeda & Bates, John & Nielsen, Otto Anker, 2019. "A disaggregate freight transport chain choice model for Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 43-62.

    Cited by:

    1. Rosell, Francisca & Codina, Esteve & Montero, Lídia, 2022. "A combined and robust modal-split/traffic assignment model for rail and road freight transport," European Journal of Operational Research, Elsevier, vol. 303(2), pages 688-698.
    2. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    3. Holguín-Veras, José & Kalahasthi, Lokesh & Campbell, Shama & González-Calderón, Carlos A. & (Cara) Wang, Xiaokun, 2021. "Freight mode choice: Results from a nationwide qualitative and quantitative research effort," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 78-120.
    4. Björk, Lisa & Vierth, Inge & Cullinane, Kevin, 2023. "Freight modal shift: A means or an objective in achieving lower emission targets? The case of Sweden," Transport Policy, Elsevier, vol. 142(C), pages 125-136.
    5. Mikkel Thorhauge & Akshay Vij & Elisabetta Cherchi, 2021. "Heterogeneity in departure time preferences, flexibility and schedule constraints," Transportation, Springer, vol. 48(4), pages 1865-1893, August.
    6. Larsen, Rune & Rich, Jeppe & Rasmussen, Thomas Kjær, 2019. "Hub-based truck platooning: Potentials and profitability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 249-264.
    7. Odolinski, Kristofer & Ek, Karin, 2024. "Estimating the impact of transport costs on firms’ choice of transport chain and shipment size," Working Papers 2024:5, Swedish National Road & Transport Research Institute (VTI).
    8. Park, Arim & Chen, Roger & Cho, Soohyun & Zhao, Yao, 2023. "The determinants of online matching platforms for freight services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    9. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    10. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    11. T. A. Santos & G. Lopes Santos & P. Martins & C. Guedes Soares, 2022. "A methodology for short-sea-shipping service design within intermodal transport chains," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(1), pages 138-167, March.
    12. Verena Maria Stockhammer & Sarah Pfoser & Karin Markvica & Jürgen Zajicek & Matthias Prandtstetter, 2021. "Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures," Sustainability, MDPI, vol. 13(21), pages 1-34, October.

  5. Richard Batley & Thijs Dekker, 2019. "The Intuition Behind Income Effects of Price Changes in Discrete Choice Models, and a Simple Method for Measuring the Compensating Variation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 337-366, September.

    Cited by:

    1. Hasnine, Md Sami & Habib, Khandker Nurul, 2020. "Transportation demand management (TDM) and social justice: A case study of differential impacts of TDM strategies on various income groups," Transport Policy, Elsevier, vol. 94(C), pages 1-10.
    2. Stefano Bortolomiol & Virginie Lurkin & Michel Bierlaire, 2022. "Price-based regulation of oligopolistic markets under discrete choice models of demand," Transportation, Springer, vol. 49(5), pages 1441-1463, October.
    3. Ramos, Raúl & Silva, Hugo E., 2023. "Fare evasion in public transport: How does it affect the optimal design and pricing?," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
    4. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.
    5. Wuyang Hu & Shan Sun & Jerrod Penn & Ping Qing, 2022. "Dummy and effects coding variables in discrete choice analysis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1770-1788, October.

  6. Mouter, Niek & Cabral, Manuel Ojeda & Dekker, Thijs & van Cranenburgh, Sander, 2019. "The value of travel time, noise pollution, recreation and biodiversity: A social choice valuation perspective," Research in Transportation Economics, Elsevier, vol. 76(C).

    Cited by:

    1. Mouter, Niek & Koster, Paul & Dekker, Thijs, 2021. "Contrasting the recommendations of participatory value evaluation and cost-benefit analysis in the context of urban mobility investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 54-73.

  7. Richard Batley & John Bates & Michiel Bliemer & Maria Börjesson & Jeremy Bourdon & Manuel Ojeda Cabral & Phani Kumar Chintakayala & Charisma Choudhury & Andrew Daly & Thijs Dekker & Efie Drivyla & Ton, 2019. "New appraisal values of travel time saving and reliability in Great Britain," Transportation, Springer, vol. 46(3), pages 583-621, June.

    Cited by:

    1. Heyndrickx, Christophe & Vanheukelom, Toon & Proost, Stef, 2021. "Distributional impact of a regional road pricing scheme in Flanders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 116-139.
    2. Filipi Nikol & Karlínová Bára & Krčál Ondřej, 2022. "The disutility of driving below the speed limit on highways," Review of Economic Perspectives, Sciendo, vol. 22(4), pages 267-277, December.
    3. Krčál, Ondřej & Peer, Stefanie & Staněk, Rostislav, 2021. "Can time-inconsistent preferences explain hypothetical biases?," Economics of Transportation, Elsevier, vol. 25(C).
    4. Hensher, David A. & Beck, Matthew J. & Balbontin, Camila, 2021. "What does the quantum of working from home do to the value of commuting time used in transport appraisal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 35-51.
    5. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    6. Walker, Joan L. & Chatman, Daniel & Daziano, Ricardo & Erhardt, Gregory & Gao, Song & Mahmassani, Hani & Ory, David & Sall, Elizabeth & Bhat, Chandra & Chim, Nicholas & Daniels, Clint & Gardner, Brian, 2019. "Advancing the Science of Travel Demand Forecasting," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0v1906ts, Institute of Transportation Studies, UC Berkeley.
    7. De Borger, Bruno & Proost, Stef, 2022. "Covid-19 and optimal urban transport policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 20-42.
    8. Ondřej Krčál & Rostislav Staněk & Bára Karlínová & Stefanie Peer, 2019. "Real consequences matters: why hypothetical biases in the valuation of time persist even in controlled lab experiments," MUNI ECON Working Papers 2019-03, Masaryk University, revised Feb 2023.
    9. Mouter, Niek & Cabral, Manuel Ojeda & Dekker, Thijs & van Cranenburgh, Sander, 2019. "The value of travel time, noise pollution, recreation and biodiversity: A social choice valuation perspective," Research in Transportation Economics, Elsevier, vol. 76(C).
    10. Mouter, Niek & Koster, Paul & Dekker, Thijs, 2021. "Contrasting the recommendations of participatory value evaluation and cost-benefit analysis in the context of urban mobility investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 54-73.
    11. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    12. Schmid, Basil & Molloy, Joseph & Peer, Stefanie & Jokubauskaite, Simona & Aschauer, Florian & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2021. "The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 186-215.
    13. Tjiong, Jeff & Dekker, Thijs & Hess, Stephane & Ojeda Cabral, Manuel, 2022. "The selection of income measures in value of travel time models and their implications for the VTT, its cross-sectional income elasticity and transport appraisal," Research in Transportation Economics, Elsevier, vol. 94(C).

  8. Song, Fangqing & Hess, Stephane & Dekker, Thijs, 2018. "Accounting for the impact of variety-seeking: Theory and application to HSR-air intermodality in China," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 99-111.

    Cited by:

    1. Fan Jiang & Lichao Wang & Shiyu Huang, 2022. "Analysis of the Transfer Time and Influencing Factors of Air-Rail Integration Passengers: A Case Study of Shijiazhuang Zhengding International Airport," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    2. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    3. Huan, Ning & Yamamoto, Toshiyuki & Yao, Enjian, 2023. "Seamless air-HSR intermodal solution: Behavioural model-based scheduling of airline timetable and airfare," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    4. Niu, Baozhuang & Chen, Lei & Liu, Yaoqi & Jin, Yong, 2019. "Joint price and quality decisions considering Chinese customers' variety seeking behavior," International Journal of Production Economics, Elsevier, vol. 213(C), pages 97-107.
    5. Ahmed, Sheikh Shahriar & Fountas, Grigorios & Eker, Ugur & Still, Stephen E. & Anastasopoulos, Panagiotis Ch, 2021. "An exploratory empirical analysis of willingness to hire and pay for flying taxis and shared flying car services," Journal of Air Transport Management, Elsevier, vol. 90(C).
    6. Fangqing Song & Stephane Hess & Thijs Dekker, 2024. "Uncovering the link between intra-individual heterogeneity and variety seeking: the case of new shared mobility," Transportation, Springer, vol. 51(2), pages 371-406, April.
    7. Masiero, Lorenzo & Hrankai, Richard, 2022. "Modeling tourist accessibility to peripheral attractions," Annals of Tourism Research, Elsevier, vol. 92(C).
    8. 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.

  9. Thijs Dekker & Caspar G. Chorus, 2018. "Consumer surplus for random regret minimisation models," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 7(3), pages 269-286, July.

    Cited by:

    1. Hasnine, Md Sami & Habib, Khandker Nurul, 2020. "Transportation demand management (TDM) and social justice: A case study of differential impacts of TDM strategies on various income groups," Transport Policy, Elsevier, vol. 94(C), pages 1-10.
    2. Geržinič, Nejc & van Cranenburgh, Sander & Cats, Oded & Lancsar, Emily & Chorus, Caspar, 2021. "Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Cai, Zeen & Mo, Dong & Geng, Maosi & Tang, Wei & Chen, Xiqun Michael, 2023. "Integrating ride-sourcing with electric vehicle charging under mixed fleets and differentiated services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    4. van Cranenburgh, Sander & Chorus, Caspar G., 2018. "Does the decision rule matter for large-scale transport models?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 338-353.
    5. Hensher, David A., 2019. "Context dependent process heuristics and choice analysis – A note on two interacting themes linked to behavioural realism," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 119-122.
    6. Luan, Siliang & Yang, Qingfang & Jiang, Zhongtai & Wang, Wei, 2021. "Exploring the impact of COVID-19 on individual's travel mode choice in China," Transport Policy, Elsevier, vol. 106(C), pages 271-280.
    7. Mai, Nhat Chi, 2022. "Behavioural Economics Assignment: Business Consumer Decision-Making & Consumer Surplus," OSF Preprints 4jrc8, Center for Open Science.
    8. van Cranenburgh, Sander & Guevara, Cristian Angelo & Chorus, Caspar G., 2015. "New insights on random regret minimization models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 91-109.
    9. John Buckell & Vrinda Vasavada & Sarah Wordsworth & Dean A. Regier & Matthew Quaife, 2022. "Utility maximization versus regret minimization in health choice behavior: Evidence from four datasets," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 363-381, February.
    10. van Wee, Bert & van Cranenburgh, Sander & Maat, Kees, 2019. "Substitutability as a spatial concept to evaluate travel alternatives," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.

  10. 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.

    Cited by:

    1. Menno Yap & Oded Cats, 2021. "Predicting disruptions and their passenger delay impacts for public transport stops," Transportation, Springer, vol. 48(4), pages 1703-1731, August.
    2. Yap, Menno & Cats, Oded, 2021. "Taking the path less travelled: Valuation of denied boarding in crowded public transport systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 1-13.
    3. Tiznado-Aitken, Ignacio & Muñoz, Juan Carlos & Hurtubia, Ricardo, 2021. "Public transport accessibility accounting for level of service and competition for urban opportunities: An equity analysis for education in Santiago de Chile," Journal of Transport Geography, Elsevier, vol. 90(C).
    4. Rossetti, Tomás & Broaddus, Andrea & Ruhl, Melissa & Daziano, Ricardo, 2023. "Commuter preferences for a first-mile/last-mile microtransit service in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    5. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    6. Zhang, Junlin & Yang, Hai & Lindsey, Robin & Li, Xinwei, 2020. "Modeling and managing congested transit service with heterogeneous users under monopoly," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 249-266.
    7. Rossetti, Tomás & Hurtubia, Ricardo, 2020. "An assessment of the ecological validity of immersive videos in stated preference surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    8. Bansal, Prateek & Kessels, Roselinde & Krueger, Rico & Graham, Daniel J., 2022. "Preferences for using the London Underground during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 45-60.
    9. Tiznado-Aitken, Ignacio & Lucas, Karen & Muñoz, Juan Carlos & Hurtubia, Ricardo, 2020. "Understanding accessibility through public transport users' experiences: A mixed methods approach," Journal of Transport Geography, Elsevier, vol. 88(C).
    10. Rossetti, Tomás & Daziano, Ricardo A., 2024. "Crowding multipliers on shared transportation in New York City: The effects of COVID-19 and implications for a sustainable future," Transport Policy, Elsevier, vol. 145(C), pages 224-236.
    11. Arellana, J. & Garzón, L. & Estrada, J. & Cantillo, V., 2020. "On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour," Journal of choice modelling, Elsevier, vol. 37(C).
    12. Varghese, Varun & Moniruzzaman, Md. & Chikaraishi, Makoto, 2023. "Environmental sustainability or equity in welfare? Analysing passenger flows of a mass rapid transit system with heterogeneous demand," Research in Transportation Economics, Elsevier, vol. 97(C).
    13. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    14. Lehe, Lewis J. & Pandey, Ayush, 2024. "A bathtub model of transit congestion," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).
    15. Aghabayk, Kayvan & Esmailpour, Javad & Shiwakoti, Nirajan, 2021. "Effects of COVID-19 on rail passengers’ crowding perceptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 186-202.
    16. Basnak, Paul & Giesen, Ricardo, 2023. "Assessing free-fare public transport in Chilean cities through optimization models," Research in Transportation Economics, Elsevier, vol. 98(C).
    17. Arbex, Renato & Cunha, Claudio B., 2020. "Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data," Journal of Transport Geography, Elsevier, vol. 85(C).
    18. Márquez, Luis & Alfonso A, Julieth V. & Poveda, Juan C., 2019. "In-vehicle crowding: Integrating tangible attributes, attitudes, and perceptions in a choice context between BRT and metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 452-465.
    19. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    20. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos & Cats, Oded, 2019. "The underlying effect of public transport reliability on users’ satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 83-93.
    21. Anne Halvorsen & Haris N. Koutsopoulos & Zhenliang Ma & Jinhua Zhao, 2020. "Demand management of congested public transport systems: a conceptual framework and application using smart card data," Transportation, Springer, vol. 47(5), pages 2337-2365, October.
    22. Iglesias, Vicente & Raveau, Sebastián, 2024. "Effect of the COVID-19 pandemic on crowding aversion in public transport and transport mode choice: The case of Santiago, Chile," Transport Policy, Elsevier, vol. 146(C), pages 167-174.
    23. Prateek Bansal & Daniel Horcher & Daniel J. Graham, 2020. "A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding," Papers 2007.03682, arXiv.org.
    24. Chen, Xin & Jiang, Yu & Bláfoss Ingvardson, Jesper & Luo, Xia & Anker Nielsen, Otto, 2023. "I can board, but I’d rather wait: Active boarding delay choice behaviour analysis using smart card data in metro systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    25. Lin, Joanne Yuh-Jye & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak & Chen, Cynthia, 2023. "The equity of public transport crowding exposure," Journal of Transport Geography, Elsevier, vol. 110(C).
    26. Tirachini, Alejandro & Proost, Stef, 2021. "Transport taxes and subsidies in developing countries: The effect of income inequality aversion," Economics of Transportation, Elsevier, vol. 25(C).
    27. Liu, Yang & Feng, Tao & Shi, Zhuangbin & He, Mingwei, 2022. "Understanding the route choice behaviour of metro-bikeshare users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 460-475.
    28. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    29. Yu, Chao & Li, Haiying & Xu, Xinyue & Liu, Jun, 2020. "Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    30. Wang, Bin & Zacharias, John, 2020. "Noise, odor and passenger density in perceived crowding in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 215-223.
    31. Guevara, C. Angelo & Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs, 2020. "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, Elsevier, vol. 137(C), pages 472-484.
    32. Basnak, Paul & Giesen, Ricardo & Muñoz, Juan Carlos, 2022. "Estimation of crowding factors for public transport during the COVID-19 pandemic in Santiago, Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 140-156.
    33. Rossetti, Tomás & Yoon, So-Yeon & Daziano, Ricardo A., 2022. "Social distancing and store choice in times of a pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    34. Jenelius, Erik, 2018. "Public transport experienced service reliability: Integrating travel time and travel conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 275-291.
    35. Basso, Leonardo J. & Montero, Juan-Pablo & Sepúlveda, Felipe, 2021. "A practical approach for curbing congestion and air pollution: Driving restrictions with toll and vintage exemptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 330-352.
    36. Junya Kumagai & Mihoko Wakamatsu & Shunsuke Managi, 2021. "Do commuters adapt to in-vehicle crowding on trains?," Transportation, Springer, vol. 48(5), pages 2357-2399, October.

  11. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.

    Cited by:

    1. Richard Batley & John Bates & Michiel Bliemer & Maria Börjesson & Jeremy Bourdon & Manuel Ojeda Cabral & Phani Kumar Chintakayala & Charisma Choudhury & Andrew Daly & Thijs Dekker & Efie Drivyla & Ton, 2019. "New appraisal values of travel time saving and reliability in Great Britain," Transportation, Springer, vol. 46(3), pages 583-621, June.
    2. Maria Börjesson & Marco Kouwenhoven & Gerard Jong & Andrew Daly, 2023. "Can repeated surveys reveal the variation of the value of travel time over time?," Transportation, Springer, vol. 50(1), pages 245-284, February.
    3. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    4. Nirmale, Sangram Krishna & Pinjari, Abdul Rawoof, 2023. "Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models," Transportation Research Part B: Methodological, Elsevier, vol. 170(C), pages 169-193.
    5. Yuki Oyama & Daisuke Fukuda & Naoto Imura & Katsuhiro Nishinari, 2022. "E-commerce users' preferences for delivery options," Papers 2301.00666, arXiv.org, revised Aug 2023.
    6. Tapia, Rodrigo J. & de Jong, Gerard & Larranaga, Ana M. & Bettella Cybis, Helena B., 2020. "Application of MDCEV to infrastructure planning in regional freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 255-271.
    7. Anthony Scott & Julia Witt, 2015. "Loss Aversion, Reference Dependence and Diminishing Sensitivity in Choice Experiments," Melbourne Institute Working Paper Series wp2015n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    8. Boris Goenaga & Victor Cantillo, 2020. "Willingness to pay for freight travel time savings: contrasting random utility versus random valuation," Transportation, Springer, vol. 47(2), pages 705-736, April.
    9. Bansal, Prateek & Kessels, Roselinde & Krueger, Rico & Graham, Daniel J., 2022. "Preferences for using the London Underground during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 45-60.
    10. Das, Deepjyoti & Bhaduri, Eeshan & Velaga, Nagendra R., 2023. "Modeling commuters’ preference towards sharing paratransit services," Transport Policy, Elsevier, vol. 143(C), pages 132-149.
    11. Manuel Ojeda-Cabral & Jeremy Shires & Mark Wardman & Fitsum Teklu & Nigel Harris, 2021. "The use of recovery time in timetables: rail passengers’ preferences and valuation relative to travel time and delays," Transportation, Springer, vol. 48(1), pages 337-368, February.
    12. Kim, Nam Seok & Yook, Donghyung, 2018. "Enhancing the economic benefit assessment of roadway investment through the application of value of time by trip length," Transport Policy, Elsevier, vol. 68(C), pages 28-36.
    13. Oyama, Yuki & Fukuda, Daisuke & Imura, Naoto & Nishinari, Katsuhiro, 2024. "Do people really want fast and precisely scheduled delivery? E-commerce customers' valuations of home delivery timing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    14. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 520-541.
    15. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
    16. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    17. Lu, Hui & Hess, Stephane & Daly, Andrew & Rohr, Charlene & Patruni, Bhanu & Vuk, Goran, 2021. "Using state-of-the-art models in applied work: Travellers willingness to pay for a toll tunnel in Copenhagen," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 37-52.
    18. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Working papers in Transport Economics 2018:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    19. Hancock, Thomas O. & Hess, Stephane & Daly, Andrew & Fox, James, 2020. "Using a sequential latent class approach for model averaging: Benefits in forecasting and behavioural insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 429-454.
    20. Ilka Dubernet & Kay W. Axhausen, 2020. "The German value of time and value of reliability study: the survey work," Transportation, Springer, vol. 47(3), pages 1477-1513, June.
    21. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.
    22. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    23. Schmid, Basil & Becker, Felix & Axhausen, Kay W. & Widmer, Paul & Stein, Petra, 2023. "A simultaneous model of residential location, mobility tool ownership and mode choice using latent variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    24. Sander Cranenburgh & Marco Kouwenhoven, 2021. "An artificial neural network based method to uncover the value-of-travel-time distribution," Transportation, Springer, vol. 48(5), pages 2545-2583, October.
    25. Andrew Daly & Stephane Hess, 2020. "VTT or VTTS: a note on terminology for value of travel time work," Transportation, Springer, vol. 47(3), pages 1359-1364, June.
    26. Tjiong, Jeff & Dekker, Thijs & Hess, Stephane & Ojeda Cabral, Manuel, 2022. "The selection of income measures in value of travel time models and their implications for the VTT, its cross-sectional income elasticity and transport appraisal," Research in Transportation Economics, Elsevier, vol. 94(C).
    27. Peter Horbachov & Oleksandr Makarichev & Stanislav Svichynskyi & Ihor Ivanov, 2022. "Framework for designing sample travel surveys for transport demand modelling in cities," Transportation, Springer, vol. 49(1), pages 115-136, February.
    28. Balogh, Péter & Török, Áron & Czine, Péter & Horváth, Péter, 2020. "A fogyasztói magatartás elemzése feltételes választási modellekkel - a mangalicakolbász példáján [Analysing consumer behaviour with conditional choice models, with Mangalica sausage as an example]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 474-494.
    29. Kingsley Adjenughwure & Basil Papadopoulos, 2019. "Towards a Fair and More Transparent Rule-Based Valuation of Travel Time Savings," Sustainability, MDPI, vol. 11(4), pages 1-19, February.

  12. Dekker, Thijs, 2016. "Asymmetric triangular mixing densities for mixed logit models," Journal of choice modelling, Elsevier, vol. 21(C), pages 48-55.

    Cited by:

    1. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    2. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    3. Mouter, Niek & van Cranenburgh, Sander & van Wee, Bert, 2017. "Do individuals have different preferences as consumer and citizen? The trade-off between travel time and safety," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 333-349.
    4. Paz, Alexander & Arteaga, Cristian & Cobos, Carlos, 2019. "Specification of mixed logit models assisted by an optimization framework," Journal of choice modelling, Elsevier, vol. 30(C), pages 50-60.

  13. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.

    Cited by:

    1. Dubey, Subodh & Bansal, Prateek & Daziano, Ricardo A. & Guerra, Erick, 2020. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 114-141.
    2. Ku, Yu-Cheng & Wu, John, 2018. "Measuring respondent uncertainty in discrete choice experiments via utility suppression," Journal of choice modelling, Elsevier, vol. 27(C), pages 1-18.
    3. Czajkowski, Mikołaj & Vossler, Christian A. & Budziński, Wiktor & Wiśniewska, Aleksandra & Zawojska, Ewa, 2017. "Addressing empirical challenges related to the incentive compatibility of stated preferences methods," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 47-63.
    4. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    5. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    6. Ansink, Erik & Wijk, Louise & Zuidmeer, Frederiek, 2022. "No clue about bioplastics," Ecological Economics, Elsevier, vol. 191(C).
    7. Toledo-Gallegos, Valeria M. & My, Nguyen H.D. & Tuan, Tran Huu & Börger, Tobias, 2022. "Valuing ecosystem services and disservices of blue/green infrastructure. Evidence from a choice experiment in Vietnam," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 114-128.
    8. Habib, Khandker Nurul, 2017. "Improving choice model parameter estimates by jointly modelling the SP choices with corresponding elicited certainty ratings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 305-319.
    9. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    10. Jonathan Sicsic & Serge Blondel & Sandra Chyderiotis & François Langot & Judith E. Mueller, 2023. "Preferences for COVID-19 epidemic control measures among French adults: a discrete choice experiment," Post-Print halshs-03953980, HAL.
    11. Moeinaddini, Amin & Habibian, Meeghat, 2023. "Transportation demand management policy efficiency: An attempt to address the effectiveness and acceptability of policy packages," Transport Policy, Elsevier, vol. 141(C), pages 317-330.
    12. Fangqing Song & Stephane Hess & Thijs Dekker, 2024. "Uncovering the link between intra-individual heterogeneity and variety seeking: the case of new shared mobility," Transportation, Springer, vol. 51(2), pages 371-406, April.
    13. Uggeldahl, Kennet & Jacobsen, Catrine & Lundhede, Thomas Hedemark & Olsen, Søren Bøye, 2016. "Choice certainty in Discrete Choice Experiments: Will eye tracking provide useful measures?," Journal of choice modelling, Elsevier, vol. 20(C), pages 35-48.
    14. Sandorf, Erlend Dancke & Persson, Lars & Broberg, Thomas, 2020. "Using an integrated choice and latent variable model to understand the impact of “professional” respondents in a stated preference survey," Resource and Energy Economics, Elsevier, vol. 61(C).
    15. Hangjian Wu & Emmanouil Mentzakis & Marije Schaafsma, 2022. "Exploring Different Assumptions about Outcome-Related Risk Perceptions in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 531-572, March.
    16. Calastri, Chiara & Hess, Stephane & Daly, Andrew & Carrasco, Juan Antonio & Choudhury, Charisma, 2018. "Modelling the loss and retention of contacts in social networks: The role of dyad-level heterogeneity and tie strength," Journal of choice modelling, Elsevier, vol. 29(C), pages 63-77.
    17. Wang, Chen & Sun, Jiayi & Russell, Roddy & Daziano, Ricardo A., 2018. "Analyzing willingness to improve the resilience of New York City's transportation system," Transport Policy, Elsevier, vol. 69(C), pages 10-19.
    18. Regier, Dean A. & Sicsic, Jonathan & Watson, Verity, 2019. "Choice certainty and deliberative thinking in discrete choice experiments. A theoretical and empirical investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 235-255.
    19. Mokas, Ilias & Lizin, Sebastien & Brijs, Tom & Witters, Nele & Malina, Robert, 2021. "Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    20. Roy Brouwer & Ivana Logar & Oleg Sheremet, 2017. "Choice Consistency and Preference Stability in Test-Retests of Discrete Choice Experiment and Open-Ended Willingness to Pay Elicitation Formats," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 729-751, November.
    21. Daly, Andrew & Dekker, Thijs & Hess, Stephane, 2016. "Dummy coding vs effects coding for categorical variables: Clarifications and extensions," Journal of choice modelling, Elsevier, vol. 21(C), pages 36-41.
    22. Sriwastava, Ambuj & Reichert, Peter, 2023. "Reducing sample size requirements by extending discrete choice experiments to indifference elicitation," Journal of choice modelling, Elsevier, vol. 48(C).
    23. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    24. Subodh Dubey & Prateek Bansal & Ricardo A. Daziano & Erick Guerra, 2019. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Papers 1904.08332, arXiv.org, revised Jan 2020.
    25. Victor Champonnois & Olivier Chanel, 2016. "How useful are (Censored) Quantile Regressions for Contingent Valuation?," Working Papers 2016.12, FAERE - French Association of Environmental and Resource Economists.

  14. Daly, Andrew & Dekker, Thijs & Hess, Stephane, 2016. "Dummy coding vs effects coding for categorical variables: Clarifications and extensions," Journal of choice modelling, Elsevier, vol. 21(C), pages 36-41.

    Cited by:

    1. Schmid, Basil & Jokubauskaite, Simona & Aschauer, Florian & Peer, Stefanie & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2019. "A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 262-294.
    2. Cordula Hinkes & Inken Christoph-Schulz, 2020. "No Palm Oil or Certified Sustainable Palm Oil? Heterogeneous Consumer Preferences and the Role of Information," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    3. Krah, Kwabena & Michelson, Hope & Perge, Emilie & Jindal, Rohit, 2019. "Constraints to adopting soil fertility management practices in Malawi: A choice experiment approach," World Development, Elsevier, vol. 124(C), pages 1-1.
    4. Will, Christian & Lehmann, Nico & Baumgartner, Nora & Feurer, Sven & Jochem, Patrick & Fichtner, Wolf, 2022. "Consumer understanding and evaluation of carbon-neutral electric vehicle charging services," Applied Energy, Elsevier, vol. 313(C).
    5. Pienaar, Elizabeth F. & Soto, José R. & Lai, John H. & Adams, Damian C., 2019. "Would County Residents Vote for an Increase in Their Taxes to Conserve Native Habitat and Ecosystem Services? Funding Conservation in Palm Beach County, Florida," Ecological Economics, Elsevier, vol. 159(C), pages 24-34.
    6. Buckell, John & White, Justin S. & Shang, Ce, 2020. "Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment," Journal of choice modelling, Elsevier, vol. 37(C).
    7. N. Morrish & T. Snowsill & S. Dodman & A. Medina-Lara, 2024. "Preferences for Genetic Testing to Predict the Risk of Developing Hereditary Cancer: A Systematic Review of Discrete Choice Experiments," Medical Decision Making, , vol. 44(3), pages 252-268, April.
    8. Dolores Garrido & Rosa Karina Gallardo, 2022. "Are improvements in convenience good enough for consumers to prefer new food processing technologies?," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 73-92, January.
    9. Ana Margarita Larranaga & Julián Arellana & Luis Ignacio Rizzi & Orlando Strambi & Helena Beatriz Bettella Cybis, 2019. "Using best–worst scaling to identify barriers to walkability: a study of Porto Alegre, Brazil," Transportation, Springer, vol. 46(6), pages 2347-2379, December.
    10. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    11. Lu, Steven Qiang & Singh, Sonika & de Roos, Nicolas, 2023. "Effects of online and offline advertising and their synergy on direct telephone sales," Journal of Retailing, Elsevier, vol. 99(3), pages 337-352.
    12. Saeed Najafi-Zangeneh & Naser Shams-Gharneh & Ali Arjomandi-Nezhad & Sarfaraz Hashemkhani Zolfani, 2021. "An Improved Machine Learning-Based Employees Attrition Prediction Framework with Emphasis on Feature Selection," Mathematics, MDPI, vol. 9(11), pages 1-14, May.
    13. Carole Ropars-Collet & Philippe Le Goffe, 2020. "Economic evaluation of catch-and-release salmon fishing: impact on anglers’ willingness to pay," Working Papers hal-02441505, HAL.
    14. Hammerle, Mara & White, Lee V. & Sturmberg, Bjorn, 2023. "Solar for renters: Investigating investor perspectives of barriers and policies," Energy Policy, Elsevier, vol. 174(C).
    15. Jaung, Wanggi, 2022. "Digital forest recreation in the metaverse: Opportunities and challenges," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    16. Jasper Grashuis & Theodoros Skevas & Michelle S. Segovia, 2020. "Grocery Shopping Preferences during the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(13), pages 1-10, July.
    17. Grammatikopoulou, Ioanna & Badura, Tomas & Vačkářová, Davina, 2020. "Public preferences for post 2020 agri-environmental policy in the Czech Republic: A choice experiment approach," Land Use Policy, Elsevier, vol. 99(C).
    18. Burton, Kati & Becker, Douglas & Hovardas, Tasos & Wardropper, Chloe B. & Maas, Alexander, 2024. "Assessing policy preferences for preventing and managing wildfire in Greece," Forest Policy and Economics, Elsevier, vol. 163(C).
    19. Hansen, Line Block & Termansen, Mette & Hasler, Berit, 2017. "Effectiveness Of Markets In Nitrogen Abatement: A Danish Case Study," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260887, European Association of Agricultural Economists.
    20. Varela, Elsa & Kallas, Zein, 2022. "Extensive Mediterranean agroecosystems and their linked traditional breeds: Societal demand for the conservation of the Majorcan black pig," Land Use Policy, Elsevier, vol. 112(C).
    21. Carole Ropars-Collet & Philippe Le Goffe & Qods Lefnatsa, 2021. "Does catch-and-release increase the recreational value of rivers? The case of salmon fishing," Post-Print hal-03342732, HAL.
    22. Schmid, Basil & Molloy, Joseph & Peer, Stefanie & Jokubauskaite, Simona & Aschauer, Florian & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2021. "The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 186-215.
    23. Villamayor-Tomas, Sergio & Sagebiel, Julian & Olschewski, Roland, 2019. "Bringing the neighbors in: A choice experiment on the influence of coordination and social norms on farmers’ willingness to accept agro-environmental schemes across Europe," Land Use Policy, Elsevier, vol. 84(C), pages 200-215.
    24. Ropars‑Collet, Carole & Le Goffe, Philippe & Lefnatsa, Qods, 2021. "Does catch‑and‑release increase the recreational value of rivers? The case of salmon fishing," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 102(4), September.
    25. Carole Ropars-Collet & Philippe Goffe & Qods Lefnatsa, 2021. "Does catch-and-release increase the recreational value of rivers? The case of salmon fishing," Review of Agricultural, Food and Environmental Studies, Springer, vol. 102(4), pages 393-424, December.
    26. Wuyang Hu & Shan Sun & Jerrod Penn & Ping Qing, 2022. "Dummy and effects coding variables in discrete choice analysis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1770-1788, October.
    27. Peyron, Christine & Pélissier, Aurore & Béjean, Sophie, 2018. "Preference heterogeneity with respect to whole genome sequencing. A discrete choice experiment among parents of children with rare genetic diseases," Social Science & Medicine, Elsevier, vol. 214(C), pages 125-132.
    28. Jivesh Ujjwal & Ranja Bandyopadhyaya, 2023. "Development of Pedestrian Level of Service (PLOS) model and satisfaction perception rating models for pedestrian infrastructure for mixed land-use urban areas," Transportation, Springer, vol. 50(2), pages 355-381, April.
    29. Al-Ghzawi, Mamdouh & El-Rayes, Khaled, 2024. "Machine learning and multi-objective optimization methodology for planning construction phases of airport expansion projects," Journal of Air Transport Management, Elsevier, vol. 115(C).

  15. Roy Brouwer & Julia Martin-Ortega & Thijs Dekker & Laura Sardonini & Joaquin Andreu & Areti Kontogianni & Michalis Skourtos & Meri Raggi & Davide Viaggi & Manuel Pulido-Velazquez & John Rolfe & Jill W, 2015. "Improving value transfer through socio-economic adjustments in a multicountry choice experiment of water conservation alternatives," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(3), pages 458-478, July.

    Cited by:

    1. Areti Kontogianni & Dimitris Damigos & Michail Skourtos & Christos Tourkolias & Eleanor Denny & Ibon Galarraga & Steffen Kallbekken & Edin Lakić, 2021. "Model Validity and Transferability Informing Behavioral Energy Policies," Energies, MDPI, vol. 14(11), pages 1-20, May.
    2. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    3. Rafiei-Sardooi, Elham & Azareh, Ali & Joorabian Shooshtari, Sharif & Parteli, Eric J.R., 2022. "Long-term assessment of land-use and climate change on water scarcity in an arid basin in Iran," Ecological Modelling, Elsevier, vol. 467(C).
    4. Czajkowski, Mikołaj & Ahtiainen, Heini & Artell, Janne & Meyerhoff, Jürgen, 2017. "Choosing a Functional Form for an International Benefit Transfer: Evidence from a Nine-country Valuation Experiment," Ecological Economics, Elsevier, vol. 134(C), pages 104-113.
    5. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    6. MacDonald, Darla Hatton & Rose, John M. & Johnston, Robert J. & Bark, Rosalind H. & Pritchard, Jodie, 2019. "Managing groundwater in a mining region: an opportunity to compare best-worst and referendum data," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    7. Norton, Daniel & Hynes, Stephen, 2018. "Estimating the Benefits of the Marine Strategy Framework Directive in Atlantic Member States: A Spatial Value Transfer Approach," Ecological Economics, Elsevier, vol. 151(C), pages 82-94.

  16. Koster, Paul & Peer, Stefanie & Dekker, Thijs, 2015. "Memory, expectation formation and scheduling choices," Economics of Transportation, Elsevier, vol. 4(4), pages 256-265.
    See citations under working paper version above.
  17. Dekker, Thijs, 2014. "Indifference based value of time measures for Random Regret Minimisation models," Journal of choice modelling, Elsevier, vol. 12(C), pages 10-20.

    Cited by:

    1. van Cranenburgh, Sander & Prato, Carlo G., 2016. "On the robustness of random regret minimization modelling outcomes towards omitted attributes," Journal of choice modelling, Elsevier, vol. 18(C), pages 51-70.
    2. Geržinič, Nejc & van Cranenburgh, Sander & Cats, Oded & Lancsar, Emily & Chorus, Caspar, 2021. "Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Haghani, Milad & Sarvi, Majid, 2019. "Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 134-157.
    4. Rosa Marina González & Concepción Román & Ángel Simón Marrero, 2021. "Values of Travel Time for Recreational Trips under Different Behavioural Rules," Sustainability, MDPI, vol. 13(12), pages 1-16, June.
    5. van Cranenburgh, Sander & Chorus, Caspar G., 2018. "Does the decision rule matter for large-scale transport models?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 338-353.
    6. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
    7. van Cranenburgh, Sander & Guevara, Cristian Angelo & Chorus, Caspar G., 2015. "New insights on random regret minimization models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 91-109.
    8. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.
    9. Hancock, Thomas O. & Hess, Stephane & Choudhury, Charisma F., 2018. "Decision field theory: Improvements to current methodology and comparisons with standard choice modelling techniques," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 18-40.
    10. Follett, Lendie & Naald, Brian Vander, 2023. "Heterogeneity in choice experiment data: A Bayesian investigation," Journal of choice modelling, Elsevier, vol. 46(C).
    11. Giovanna Piracci & Fabio Boncinelli & Leonardo Casini, 2023. "Investigating Consumer Preferences for Sustainable Packaging Through a Different Behavioural Approach: A Random Regret Minimization Application," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 1-27, October.

  18. Chorus, Caspar & van Cranenburgh, Sander & Dekker, Thijs, 2014. "Random regret minimization for consumer choice modeling: Assessment of empirical evidence," Journal of Business Research, Elsevier, vol. 67(11), pages 2428-2436.

    Cited by:

    1. Beheshtian, Arash & Donaghy, Kieran P. & Richard Geddes, R. & Oliver Gao, H., 2018. "Climate-adaptive planning for the long-term resilience of transportation energy infrastructure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 99-122.
    2. van Cranenburgh, Sander & Prato, Carlo G., 2016. "On the robustness of random regret minimization modelling outcomes towards omitted attributes," Journal of choice modelling, Elsevier, vol. 18(C), pages 51-70.
    3. Geržinič, Nejc & van Cranenburgh, Sander & Cats, Oded & Lancsar, Emily & Chorus, Caspar, 2021. "Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment," Journal of choice modelling, Elsevier, vol. 41(C).
    4. Caspar G. Chorus & Sander Cranenburgh, 2018. "Specification of regret-based models of choice behaviour: formal analyses and experimental design based evidence—commentary," Transportation, Springer, vol. 45(1), pages 247-256, January.
    5. van Cranenburgh, Sander & Meyerhoff, Jürgen & Rehdanz, Katrin & Wunsch, Andrea, 2024. "On the impact of decision rule assumptions in experimental designs on preference recovery: An application to climate change adaptation measures," Open Access Publications from Kiel Institute for the World Economy 281987, Kiel Institute for the World Economy (IfW Kiel).
    6. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
    7. Peng Jing & Mengxuan Zhao & Meiling He & Long Chen, 2018. "Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    8. Brathwaite, Timothy & Walker, Joan L., 2018. "Asymmetric, closed-form, finite-parameter models of multinomial choice," Journal of choice modelling, Elsevier, vol. 29(C), pages 78-112.
    9. C. Angelo Guevara & Caspar G. Chorus & Moshe E. Ben-Akiva, 2016. "Sampling of Alternatives in Random Regret Minimization Models," Transportation Science, INFORMS, vol. 50(1), pages 306-321, February.
    10. Haghani, Milad & Sarvi, Majid, 2019. "Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 134-157.
    11. Haghani, Milad & Sarvi, Majid, 2018. "Hypothetical bias and decision-rule effect in modelling discrete directional choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 361-388.
    12. van Cranenburgh, Sander & Chorus, Caspar G., 2018. "Does the decision rule matter for large-scale transport models?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 338-353.
    13. Christoph Willing & Tobias Brandt & Dirk Neumann, 2017. "Electronic mobility market platforms – a review of the current state and applications of business analytics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 267-282, August.
    14. Boeri, Marco & Longo, Alberto, 2017. "The importance of regret minimization in the choice for renewable energy programmes: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 63(C), pages 253-260.
    15. Mohit Goswami, 2018. "Establishing predictive relationships between price and select product, market, and consumer related dimensions: an investigation within indian consumer electronics market," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 361-380, June.
    16. Bakó, Barna & Neszveda, Gábor, 2020. "The Achilles’ heel of Salience theory and a way to fix it," Economics Letters, Elsevier, vol. 193(C).
    17. Caspar G Chorus, 2018. "Paving the way towards superstar destinations: Models of convex demand for quality," Environment and Planning B, , vol. 45(1), pages 161-179, January.
    18. van Cranenburgh, Sander & Guevara, Cristian Angelo & Chorus, Caspar G., 2015. "New insights on random regret minimization models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 91-109.
    19. Lim, Jooyoung & Hahn, Minhi, 2020. "Regulatory focus and decision rules: Are prevention-focused consumers regret minimizers?," Journal of Business Research, Elsevier, vol. 120(C), pages 343-350.
    20. Xingchuan Wang & Enjian Yao & Shasha Liu, 2018. "Travel Choice Analysis under Metro Emergency Context: Utility? Regret? Or Both?," Sustainability, MDPI, vol. 10(11), pages 1-15, October.
    21. John Buckell & Vrinda Vasavada & Sarah Wordsworth & Dean A. Regier & Matthew Quaife, 2022. "Utility maximization versus regret minimization in health choice behavior: Evidence from four datasets," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 363-381, February.
    22. Fernandez Pernett, Stephanie & Amaya, Johanna & Arellana, Julián & Cantillo, Victor, 2022. "Questioning the implication of the utility-maximization assumption for the estimation of deprivation cost functions after disasters," International Journal of Production Economics, Elsevier, vol. 247(C).
    23. Amirreza Talebi, 2024. "Simulation in discrete choice models evaluation: SDCM, a simulation tool for performance evaluation of DCMs," Papers 2407.17014, arXiv.org, revised Jul 2024.
    24. Kemperman, Astrid, 2021. "A review of research into discrete choice experiments in tourism: Launching the Annals of Tourism Research Curated Collection on Discrete Choice Experiments in Tourism," Annals of Tourism Research, Elsevier, vol. 87(C).
    25. Follett, Lendie & Naald, Brian Vander, 2023. "Heterogeneity in choice experiment data: A Bayesian investigation," Journal of choice modelling, Elsevier, vol. 46(C).
    26. Dekker, Thijs, 2014. "Indifference based value of time measures for Random Regret Minimisation models," Journal of choice modelling, Elsevier, vol. 12(C), pages 10-20.
    27. Caspar G. Chorus, 2014. "Capturing alternative decision rules in travel choice models: a critical discussion," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 13, pages 290-310, Edward Elgar Publishing.
    28. Giovanna Piracci & Fabio Boncinelli & Leonardo Casini, 2023. "Investigating Consumer Preferences for Sustainable Packaging Through a Different Behavioural Approach: A Random Regret Minimization Application," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 1-27, October.

  19. Dekker, Thijs & Hess, Stephane & Arentze, Theo & Chorus, Caspar, 2014. "Incorporating needs-satisfaction in a discrete choice model of leisure activities," Journal of Transport Geography, Elsevier, vol. 38(C), pages 66-74.

    Cited by:

    1. Joffre Swait & Cristiano Franceschinis & Mara Thiene, 2020. "Antecedent Volition and Spatial Effects: Can Multiple Goal Pursuit Mitigate Distance Decay?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 243-270, February.
    2. Munoz, Claudia & Laniado, Henry, 2021. "Airline choice model for international round-trip flights: The role of travelers’ satisfaction and personality traits," Research in Transportation Economics, Elsevier, vol. 90(C).
    3. Annesha Enam & Karthik C. Konduri & Naveen Eluru & Srinath Ravulaparthy, 2018. "Relationship between well-being and daily time use of elderly: evidence from the disabilities and use of time survey," Transportation, Springer, vol. 45(6), pages 1783-1810, November.
    4. Potoglou, Dimitris & Palacios, Juan-Francisco & Feijóo, Claudio, 2015. "An integrated latent variable and choice model to explore the role of privacy concern on stated behavioural intentions in e-commerce," Journal of choice modelling, Elsevier, vol. 17(C), pages 10-27.
    5. Puteri Paramita & Zuduo Zheng & Md Mazharul Haque & Simon Washington & Paul Hyland, 2018. "User satisfaction with train fares: A comparative analysis in five Australian cities," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-26, June.
    6. Ziqi Zhang & Zhi Qiu, 2020. "Exploring Daily Activity Patterns on the Typical Day of Older Adults for Supporting Aging-in-Place in China’s Rural Environment," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
    7. Kemperman, Astrid, 2021. "A review of research into discrete choice experiments in tourism: Launching the Annals of Tourism Research Curated Collection on Discrete Choice Experiments in Tourism," Annals of Tourism Research, Elsevier, vol. 87(C).
    8. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2017. "Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 13-33.

  20. Thijs Dekker & Paul Koster & Roy Brouwer, 2014. "Changing with the Tide: Semiparametric Estimation of Preference Dynamics," Land Economics, University of Wisconsin Press, vol. 90(4), pages 717-745.
    See citations under working paper version above.
  21. Rob Dellink & Thijs Dekker & Janina Ketterer, 2013. "The Fatter the Tail, the Fatter the Climate Agreement," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(2), pages 277-305, October.

    Cited by:

    1. David Anthoff & Richard S. J. Tol, 2021. "Testing the Dismal Theorem," CESifo Working Paper Series 8939, CESifo.
    2. Valeria Costantini & Anil Markandya & Elena Paglialunga & Giorgia Sforna, 2018. "Impact and distribution of climatic damages: a methodological proposal with a dynamic CGE model applied to global climate negotiations," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 809-843, December.
    3. Jasper N. Meya & Ulrike Kornek & Kai Lessmann, 2018. "How empirical uncertainties influence the stability of climate coalitions," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(2), pages 175-198, April.

  22. Dekker, Thijs & Vollebergh, Herman R.J. & de Vries, Frans P. & Withagen, Cees A., 2012. "Inciting protocols," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 45-67.

    Cited by:

    1. Dechezlepretre, Antoine & Glachant, Matthieu, 2011. "Does foreign environmental policy influence domestic innovation? Evidence from the wind industry," LSE Research Online Documents on Economics 37580, London School of Economics and Political Science, LSE Library.
    2. Sen, Suphi, 2015. "Corporate governance, environmental regulations, and technological change," European Economic Review, Elsevier, vol. 80(C), pages 36-61.
    3. Antoine Dechezleprêtre & Matthieu Glachant & Yann Ménière, 2013. "What Drives the International Transfer of Climate Change Mitigation Technologies? Empirical Evidence from Patent Data," Post-Print hal-00488268, HAL.
    4. Raphael Calel, 2020. "Adopt or Innovate: Understanding Technological Responses to Cap-and-Trade," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 170-201, August.
    5. Glachant, Matthieu & Dussaux, Damien & Meniere, Yann & Dechezlepretre, Antoine, 2013. "Greening global value chains : innovation and the international diffusion of technologies and knowledge," Policy Research Working Paper Series 6467, The World Bank.
    6. Raphael Calel & Antoine Dechezlepretre, 2012. "Environmental Policy and Directed Technological Change: Evidence from the European carbon market," Working Papers 1208, Chaire Economie du climat.
    7. David Popp, 2019. "Environmental policy and innovation: a decade of research," CESifo Working Paper Series 7544, CESifo.
    8. Antoine Dechezlepr�tre & Richard Perkins & Eric Neumayer, 2012. "Regulatory distance and the transfer of new environmentally sound technologies: evidence from the automobile sector," GRI Working Papers 73, Grantham Research Institute on Climate Change and the Environment.
    9. Wancong Fu & Chong Li & Jan Ondrich & David Popp, 2018. "Technological Spillover Effects of State Renewable Energy Policy: Evidence from Patent Counts," NBER Working Papers 25390, National Bureau of Economic Research, Inc.
    10. Gerlagh, Reyer & Kverndokk, Snorre & Rosendahl, Knut Einar, 2014. "The optimal time path of clean energy R&D policy when patents have finite lifetime," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 2-19.
    11. Joëlle Noailly & Roger Smeets, 2013. "Directing Technical Change from Fossil-Fuel to Renewable Energy Innovation: An Empirical Application Using Firm-Level Patent Data," CPB Discussion Paper 237, CPB Netherlands Bureau for Economic Policy Analysis.
    12. Peter Rafaj & Markus Amann & José Siri & Henning Wuester, 2014. "Changes in European greenhouse gas and air pollutant emissions 1960–2010: decomposition of determining factors," Climatic Change, Springer, vol. 124(3), pages 477-504, June.
    13. Antoine Dechezlepr�tre & Matthieu Glachant & Ivan Hascic & Nick Johnstone & Yann M�ni�re, 2010. "Invention and transfer of climate change mitigation technologies on a global scale: a study drawing on patent data," GRI Working Papers 17, Grantham Research Institute on Climate Change and the Environment.
    14. Valeria Costantini & Francesco Crespi & Elena Paglialunga & Giorgia Sforna, 2018. "System Transition and Structural Change Processes in the Energy Efficiency of Residential Sector: Evidence from EU Countries," SPRU Working Paper Series 2018-03, SPRU - Science Policy Research Unit, University of Sussex Business School.
    15. Rai, Varun & Funkhouser, Erik, 2015. "Emerging insights on the dynamic drivers of international low-carbon technology transfer," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 350-364.
    16. Joelle Noailly & Victoria Shestalova, 2013. "Knowledge Spillovers from Renewable energy Technologies, Lessons from patent citations," CIES Research Paper series 22-2013, Centre for International Environmental Studies, The Graduate Institute.
    17. Dechezleprêtre, Antoine & Neumayer, Eric & Perkins, Richard, 2015. "Environmental regulation and the cross-border diffusion of new technology: Evidence from automobile patents," Research Policy, Elsevier, vol. 44(1), pages 244-257.
    18. Costantini, Valeria & Crespi, Francesco & Palma, Alessandro, 2017. "Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies," Research Policy, Elsevier, vol. 46(4), pages 799-819.
    19. Joëlle Noailly & David Ryfisch, 2014. "Multinational firms and the internationalization of green R&D: A review of the evidence and policy implications," CIES Research Paper series 33-2014, Centre for International Environmental Studies, The Graduate Institute.
    20. Joëlle Noailly & Roger Smeets, 2013. "Directing Technical Change from Fossil-Fuel to Renewable Energy Innovation: An Empirical Application Using Firm-Level Patent Data," Working Papers 2013.34, Fondazione Eni Enrico Mattei.
    21. Joëlle Noailly & Victoria Shestalova, 2013. "Knowledge spillovers from renewable energy technologies, Lessons from patent citations," CPB Discussion Paper 262, CPB Netherlands Bureau for Economic Policy Analysis.
    22. Rob Aalbers & Victoria Shestalova & Viktoria Kocsis, 2012. "Innovation policy for directing technical change in the power sector," CPB Discussion Paper 223, CPB Netherlands Bureau for Economic Policy Analysis.
    23. Kyunam Kim & Eunnyeong Heo & Yeonbae Kim, 2017. "Dynamic Policy Impacts on a Technological-Change System of Renewable Energy: An Empirical Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(2), pages 205-236, February.
    24. Aalbers, Rob & Shestalova, Victoria & Kocsis, Viktória, 2013. "Innovation policy for directing technical change in the power sector," Energy Policy, Elsevier, vol. 63(C), pages 1240-1250.
    25. Liu, Yunqiang & Liu, Sha & Shao, Xiaoyu & He, Yanqiu, 2022. "Policy spillover effect and action mechanism for environmental rights trading on green innovation: Evidence from China's carbon emissions trading policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    26. Elena Verdolini & Valentina Bosetti, 2017. "Environmental Policy and the International Diffusion of Cleaner Energy Technologies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(3), pages 497-536, March.
    27. Tilmann Rave & Frank Goetzke, 2013. "Climate-friendly technologies in the mobile air-conditioning sector: a patent citation analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(4), pages 389-422, October.
    28. Ee, Mong Shan & Chao, Chi-Chur & Liu, Xiangbo & Yu, Eden S.H., 2018. "Environmental policy, firm dynamics and wage inequality in developing countries," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 70-85.
    29. Mare Sarr & Joëlle Noailly, 2017. "Innovation, Diffusion, Growth and the Environment: Taking Stock and Charting New Directions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(3), pages 393-407, March.
    30. Werfel, Seth H. & Jaffe, Adam B., 2013. "Induced innovation and technology trajectory: Evidence from smoking cessation products," Research Policy, Elsevier, vol. 42(1), pages 15-22.
    31. Carraro, Carlo & De Cian, Enrica & Nicita, Lea & Massetti, Emanuele & Verdolini, Elena, 2010. "Environmental Policy and Technical Change: A Survey," International Review of Environmental and Resource Economics, now publishers, vol. 4(2), pages 163-219, October.
    32. Frank Goetzke & Tilmann Rave & Ursula Triebswetter, 2012. "Diffusion of environmental technologies: a patent citation analysis of glass melting and glass burners," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(2), pages 189-217, April.

  23. Thijs Dekker & Roy Brouwer & Marjan Hofkes & Klaus Moeltner, 2011. "The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 597-624, August.

    Cited by:

    1. Ahtiainen, Heini & Vanhatalo, Jarno, 2012. "The value of reducing eutrophication in European marine areas — A Bayesian meta-analysis," Ecological Economics, Elsevier, vol. 83(C), pages 1-10.
    2. Andersson, Henrik & Hole, Arne Risa & Svensson, Mikael, 2013. "Valuation of small and multiple health risks: A critical analysis of SP data applied to food and water safety," TSE Working Papers 13-465, Toulouse School of Economics (TSE).
    3. John C. Whitehead & O. Ashton Morgan & William L. Huth & Gregory S. Martin & Richard Sjolander, 2012. "Willingness-to-Pay for Oyster Consumption Mortality Risk Reductions," Working Papers 12-07, Department of Economics, Appalachian State University.
    4. Jaithri Ananthapavan & Marj Moodie & Andrew J. Milat & Rob Carter, 2021. "Systematic Review to Update ‘Value of a Statistical Life’ Estimates for Australia," IJERPH, MDPI, vol. 18(11), pages 1-17, June.
    5. Mehmet Kutluay & Roy Brouwer & Richard S. J. Tol, 2017. "Preference updating in public health risk valuation," Working Paper Series 1517, Department of Economics, University of Sussex Business School.
    6. Karina Camasmie Abe & Simone Georges El Khouri Miraglia, 2016. "Health Impact Assessment of Air Pollution in São Paulo, Brazil," IJERPH, MDPI, vol. 13(7), pages 1-10, July.
    7. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    8. 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.
    9. Marija Bockarjova & Piet Rietveld & Erik T. Verhoef, 2012. "Composite Valuation of Immaterial Damage in Flooding: Value of Statistical Life, Value of Statistical Evacuation and Value of Statistical Injury," Tinbergen Institute Discussion Papers 12-047/3, Tinbergen Institute.
    10. Baoubadi Atozou & Lota Tamini & Stéphane Bergeron & Maurice Doyon, 2019. "Factors Explaining the Hypothetical Bias: How to Improve Models for Meta-analyses," CIRANO Working Papers 2019s-30, CIRANO.
    11. Rizzi, Luis Ignacio & De La Maza, Cristobal, 2017. "The external costs of private versus public road transport in the Metropolitan Area of Santiago, Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 123-140.
    12. Mark J. Koetse & Roy Brouwer, 2016. "Reference Dependence Effects on WTA and WTP Value Functions and Their Disparity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 723-745, December.
    13. Doucouliagos, Chris & Stanley, T.D. & Giles, Margaret, 2012. "Are estimates of the value of a statistical life exaggerated?," Journal of Health Economics, Elsevier, vol. 31(1), pages 197-206.
    14. Stephen C. Newbold, 2011. "Valuing Health Risk Changes Using a Life-Cycle Consumption Framework," NCEE Working Paper Series 201103, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Apr 2011.
    15. Maureen Cropper & James K. Hammitt & Lisa A. Robinson, 2011. "Valuing Mortality Risk Reductions: Progress and Challenges," Annual Review of Resource Economics, Annual Reviews, vol. 3(1), pages 313-336, October.
    16. John C. Whitehead & O. Ashton Morgan & William L. Huth & Gregory S. Martin & Richard Sjolander, 2020. "Altruistic and Private Values For Saving Lives With an Oyster Consumption Safety Program," Risk Analysis, John Wiley & Sons, vol. 40(11), pages 2413-2426, November.
    17. Lavin, Felipe Vasquez & Bratti, Luna & Orrego, Sergio & Barrientos, Manuel, 2020. "Assessing the Use of Pseudo-panels to Estimate the Value of Statistical Life in Developing Countries," EfD Discussion Paper 20-20, Environment for Development, University of Gothenburg.
    18. Veronesi, Marcella & Chawla, Fabienne & Maurer, Max & Lienert, Judit, 2014. "Climate change and the willingness to pay to reduce ecological and health risks from wastewater flooding in urban centers and the environment," Ecological Economics, Elsevier, vol. 98(C), pages 1-10.
    19. Maxime Rigaud & Jurgen Buekers & Jos Bessems & Xavier Basagaña & Sandrine Mathy & Mark Nieuwenhuijsen & Rémy Slama, 2024. "The methodology of quantitative risk assessment studies," Post-Print hal-04523440, HAL.
    20. Mouter, Niek & van Cranenburgh, Sander & van Wee, Bert, 2017. "Do individuals have different preferences as consumer and citizen? The trade-off between travel time and safety," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 333-349.
    21. Henrik Lindhjem & Ståle Navrud & Nils Axel Braathen & Vincent Biausque, 2011. "Valuing Mortality Risk Reductions from Environmental, Transport, and Health Policies: A Global Meta‐Analysis of Stated Preference Studies," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1381-1407, September.
    22. Lisa A. Robinson & James K. Hammitt, 2016. "Valuing Reductions in Fatal Illness Risks: Implications of Recent Research," Health Economics, John Wiley & Sons, Ltd., vol. 25(8), pages 1039-1052, August.
    23. Roy Brouwer & Marije Schaafsma, 2013. "Modelling risk adaptation and mitigation behaviour under different climate change scenarios," Climatic Change, Springer, vol. 117(1), pages 11-29, March.
    24. Kevin J. Boyle & Jeffrey M. Wooldridge, 2018. "Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 609-635, March.

  24. Roy Brouwer & Thijs Dekker & John Rolfe & Jill Windle, 2010. "Choice Certainty and Consistency in Repeated Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(1), pages 93-109, May.

    Cited by:

    1. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Using virtual environments to improve the realism of choice experiments: A case study about coastal erosion management," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 193-208.
    2. Hagedoorn, L.C. & Bubeck, P. & Hudson, P. & Brander, L.M. & Pham, M. & Lasage, R., 2021. "Preferences of vulnerable social groups for ecosystem-based adaptation to flood risk in Central Vietnam," World Development, Elsevier, vol. 148(C).
    3. Boxebeld, Sander, 2024. "Ordering effects in discrete choice experiments: A systematic literature review across domains," Journal of choice modelling, Elsevier, vol. 51(C).
    4. Greiner, Romy & Bliemer, Michiel & Ballweg, Julie, 2014. "Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation," Journal of choice modelling, Elsevier, vol. 10(C), pages 34-45.
    5. Tobias Börger, 2016. "Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(2), pages 389-413, October.
    6. Sardaro, Ruggiero & Faccilongo, Nicola & Roselli, Luigi, 2019. "Wind farms, farmland occupation and compensation: Evidences from landowners’ preferences through a stated choice survey in Italy," Energy Policy, Elsevier, vol. 133(C).
    7. Mikolaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2014. "Controlling for the effects of information in a public goods discrete choice model," Discussion Papers in Environment and Development Economics 2014-04, University of St. Andrews, School of Geography and Sustainable Development.
    8. Lienert, Judit & Duygan, Mert & Zheng, Jun, 2016. "Preference stability over time with multiple elicitation methods to support wastewater infrastructure decision-making," European Journal of Operational Research, Elsevier, vol. 253(3), pages 746-760.
    9. John Rolfe & Roy Brouwer, 2011. "Testing for value stability with a meta-analysis of choice experiments: River health in Australia," Environmental Economics Research Hub Research Reports 1095, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    10. Parsons, George & Yan, Lingxiao, 2021. "Anchoring on visual cues in a stated preference survey: The case of siting offshore wind power projects," Journal of choice modelling, Elsevier, vol. 38(C).
    11. Jürgen Meyerhoff & Malte Oehlmann & Priska Weller, 2015. "The Influence of Design Dimensions on Stated Choices in an Environmental Context," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(3), pages 385-407, July.
    12. Santos, Rui & Clemente, Pedro & Brouwer, Roy & Antunes, Paula & Pinto, Rute, 2015. "Landowner preferences for agri-environmental agreements to conserve the montado ecosystem in Portugal," Ecological Economics, Elsevier, vol. 118(C), pages 159-167.
    13. Roy Brouwer & Solomon Tarfasa, 2020. "Testing hypothetical bias in a framed field experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 343-357, September.
    14. Jerrod Penn & Wuyang Hu, 2023. "Adjusting and Calibrating Elicited Values Based on Follow-up Certainty Questions: A Meta-analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 919-946, April.
    15. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    16. Hess, Stephane & Hensher, David A. & Daly, Andrew, 2012. "Not bored yet – Revisiting respondent fatigue in stated choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 626-644.
    17. Soliño, Mario & Farizo, Begoña A. & Vázquez, María X. & Prada, Albino, 2012. "Generating electricity with forest biomass: Consistency and payment timeframe effects in choice experiments," Energy Policy, Elsevier, vol. 41(C), pages 798-806.
    18. Solomon Tarfasa & Roy Brouwer, 2013. "Estimation of the public benefits of urban water supply improvements in Ethiopia: a choice experiment," Applied Economics, Taylor & Francis Journals, vol. 45(9), pages 1099-1108, March.
    19. J. Price & D. Dupont & W. Adamowicz, 2017. "As Time Goes By: Examination of Temporal Stability Across Stated Preference Question Formats," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 643-662, November.
    20. Mikołaj Czajkowski & Marek Giergiczny & William H. Greene, 2012. "Learning and Fatigue Effects Revisited. The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments," Working Papers 2012-08, Faculty of Economic Sciences, University of Warsaw.
    21. Penn, Jerrod & Hu, Wuyang, 2018. "Quantifying the Effect of Choice Set Interdependence in the Presence of Hypothetical Bias and Choice Order Effect," 2018 Annual Meeting, August 5-7, Washington, D.C. 274014, Agricultural and Applied Economics Association.
    22. Habib, Khandker Nurul, 2017. "Improving choice model parameter estimates by jointly modelling the SP choices with corresponding elicited certainty ratings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 305-319.
    23. Greiner, Romy & Ballweg, Julie, 2013. "Estimating the supply of on-farm biodiversity conservation services by north Australian pastoralists: design of a choice experiment," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152153, Australian Agricultural and Resource Economics Society.
    24. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    25. Jacob Ladenburg & Søren Bøye Olsen, 2010. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," IFRO Working Paper 2010/9, University of Copenhagen, Department of Food and Resource Economics.
    26. Dekker, Thijs, 2016. "Asymmetric triangular mixing densities for mixed logit models," Journal of choice modelling, Elsevier, vol. 21(C), pages 48-55.
    27. Dai, Dan & Brouwer, Roy & Lei, Kun, 2021. "Measuring the economic value of urban river restoration," Ecological Economics, Elsevier, vol. 190(C).
    28. Yangui, Ahmed1 & Akaichi, Faiçal & Costa-Font, Montserrat & Gil, Jose Maria, 2014. "Are ranking preferences information methods comparable with the choice experiment information in predicting actual behavior?," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182672, European Association of Agricultural Economists.
    29. Mark J. Koetse & Roy Brouwer, 2016. "Reference Dependence Effects on WTA and WTP Value Functions and Their Disparity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 723-745, December.
    30. Søren Olsen & Thomas Lundhede & Jette Jacobsen & Bo Thorsen, 2011. "Tough and Easy Choices: Testing the Influence of Utility Difference on Stated Certainty-in-Choice in Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 491-510, August.
    31. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Stability of Willingness-to-Pay for Coastal Management: A Choice Experiment Across Three Time Periods," Ecological Economics, Elsevier, vol. 138(C), pages 64-73.
    32. Glenk, Klaus & Meyerhoff, Jürgen & Colombo, Sergio & Faccioli, Michela, 2024. "Enhancing the face validity of choice experiments: A simple diagnostic check," Ecological Economics, Elsevier, vol. 221(C).
    33. Sardaro, Ruggiero & La Sala, Piermichele & De Pascale, Gianluigi & Faccilongo, Nicola, 2021. "The conservation of cultural heritage in rural areas: Stakeholder preferences regarding historical rural buildings in Apulia, southern Italy," Land Use Policy, Elsevier, vol. 109(C).
    34. Ruggiero Sardaro & Nicola Faccilongo & Francesco Contò & Piermichele La Sala, 2021. "Adaption Actions to Cope with Climate Change: Evidence from Farmers’ Preferences on an Agrobiodiversity Conservation Programme in the Mediterranean Area," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    35. Rashedi, Zohreh & Mahmoud, Mohamed & Hasnine, Sami & Habib, Khandker Nurul, 2017. "On the factors affecting the choice of regional transit for commuting in Greater Toronto and Hamilton Area: Application of an advanced RP-SP choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 1-13.
    36. Börger, Tobias & Hattam, Caroline, 2017. "Motivations matter: Behavioural determinants of preferences for remote and unfamiliar environmental goods," Ecological Economics, Elsevier, vol. 131(C), pages 64-74.
    37. Uggeldahl, Kennet & Jacobsen, Catrine & Lundhede, Thomas Hedemark & Olsen, Søren Bøye, 2016. "Choice certainty in Discrete Choice Experiments: Will eye tracking provide useful measures?," Journal of choice modelling, Elsevier, vol. 20(C), pages 35-48.
    38. Gsottbauer, Elisabeth & Logar, Ivana & van den Bergh, Jeroen, 2015. "Towards a fair, constructive and consistent criticism of all valuation languages: Comment on Kallis et al. (2013)," Ecological Economics, Elsevier, vol. 112(C), pages 164-169.
    39. Hangjian Wu & Emmanouil Mentzakis & Marije Schaafsma, 2022. "Exploring Different Assumptions about Outcome-Related Risk Perceptions in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 531-572, March.
    40. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    41. Schaafsma, Marije & Brouwer, Roy & Liekens, Inge & De Nocker, Leo, 2014. "Temporal stability of preferences and willingness to pay for natural areas in choice experiments: A test–retest," Resource and Energy Economics, Elsevier, vol. 38(C), pages 243-260.
    42. Ines Chiadmi & Sidnoma Abdoul Aziz Traoré & Jean-Michel A Salles, 2020. "Asian tiger mosquito far from home: Assessing the impact of invasive mosquitoes on the French Mediterranean littoral," Post-Print hal-02921425, HAL.
    43. Regier, Dean A. & Sicsic, Jonathan & Watson, Verity, 2019. "Choice certainty and deliberative thinking in discrete choice experiments. A theoretical and empirical investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 235-255.
    44. Völker, Marc & Lienhoop, Nele, 2016. "Exploring group dynamics in deliberative choice experiments," Ecological Economics, Elsevier, vol. 123(C), pages 57-67.
    45. Yangui, Ahmed & Akaichi, Faical & Costa-Font, Montserrat & Gil, Jose Maria, 2019. "Comparing results of ranking conjoint analyses, best–worst scaling and discrete choice experiments in a nonhypothetical context," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), April.
    46. Roy Brouwer & Ivana Logar & Oleg Sheremet, 2017. "Choice Consistency and Preference Stability in Test-Retests of Discrete Choice Experiment and Open-Ended Willingness to Pay Elicitation Formats," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 729-751, November.
    47. Silvi, Mariateresa & Padilla Rosa, Emilio, 2023. "A tragedy of the horizons? An intertemporal perspective on public support for carbon taxes," Energy Economics, Elsevier, vol. 125(C).
    48. Gebreegziabher, Z. & Mekonnen, A. & Beyene, A.D. & Hagos, F., 2018. "Valuation of access to irrigation water in rural Ethiopia: application of choice experiment and contingent valuation methods," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277168, International Association of Agricultural Economists.
    49. Thijs Dekker & Paul Koster & Roy Brouwer, 2013. "Changing with the Tide: Semi-Parametric Estimation of Preference Dynamics," Tinbergen Institute Discussion Papers 13-074/VIII, Tinbergen Institute.
    50. Yangui, A. & Akaichi, Faiçal & Costa-Font, M. & Gil, J. M., 2014. "Do experimental protocols in Conjoint Analysis matter in non Hypothetical settings?," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170345, Agricultural Economics Society.
    51. Hynes, Stephen & Armstrong, Claire W. & Xuan, Bui Bich & Ankamah-Yeboah, Isaac & Simpson, Katherine & Tinch, Robert & Ressurreição, Adriana, 2021. "Have environmental preferences and willingness to pay remained stable before and during the global Covid-19 shock?," Ecological Economics, Elsevier, vol. 189(C).
    52. Carlsson, Fredrik & Raun Mørkbak, Morten & Bøye Olsen, Søren, 2010. "The first time is the hardest: A test of ordering effects in choice experiments," Working Papers in Economics 470, University of Gothenburg, Department of Economics.
    53. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Consistently inconsistent: The role of certainty, acceptability and scale in choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 81-93.
    54. Botzen, W.J. Wouter & de Boer, Joop & Terpstra, Teun, 2013. "Framing of risk and preferences for annual and multi-year flood insurance," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 357-375.
    55. Campbell, Danny & Boeri, Marco & Doherty, Edel & George Hutchinson, W., 2015. "Learning, fatigue and preference formation in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 345-363.
    56. Brouwer, Roy, 2023. "Reconciling Theory and Practice in Higher Education Water Economics Courses," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(3), September.
    57. Gabriela D. Oliveira & Luis C. Dias, 2020. "The potential learning effect of a MCDA approach on consumer preferences for alternative fuel vehicles," Annals of Operations Research, Springer, vol. 293(2), pages 767-787, October.
    58. Lewis, David J. & Provencher, Bill & Beardmore, Ben, 2015. "Using an intervention framework to value salient ecosystem services in a stated preference experiment," Ecological Economics, Elsevier, vol. 114(C), pages 141-151.

Books

  1. Petr Mariel & David Hoyos & Jürgen Meyerhoff & Mikolaj Czajkowski & Thijs Dekker & Klaus Glenk & Jette Bredahl Jacobsen & Ulf Liebe & Søren Bøye Olsen & Julian Sagebiel & Mara Thiene, 2021. "Environmental Valuation with Discrete Choice Experiments," SpringerBriefs in Economics, Springer, number 978-3-030-62669-3, October.

    Cited by:

    1. Pilar Uldemolins & Tiziana de Magistris, 2021. "Assessing Parental Preferences Regarding a Plant-Based Game for Educating Children about More Sustainable and Healthier Diets," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    2. Yen E. Lam-González & Carmelo J. León & Javier de León & Chaitanya Suárez-Rojas, 2022. "The Impact of Degradation of Islands’ Land Ecosystems Due to Climate Change on Tourists’ Travel Decisions," Land, MDPI, vol. 11(10), pages 1-16, September.
    3. Spencer-Cotton, Alaya & Navarro, Matt & Hamre, Nicole, 2023. "Public preferences for marine park design in Western Australia," Working Papers 339006, University of Western Australia, School of Agricultural and Resource Economics.
    4. Manhique, Henrique & Wätzold, Frank, 2023. "Effects of Institutional Setting on Value Estimates of Stated Preference Surveys in Developing Economies: A Discrete Choice Experiment on Conserving Biodiversity in The Cape Floristic Region," MPRA Paper 118750, University Library of Munich, Germany.
    5. Wunsch, Andrea & Meyerhoff, Jürgen & Rehdanz, Katrin, 2022. "A test–retest analysis of stated preferences in uncertain times," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 725-736.
    6. Ju-Hee Kim & Seul-Ye Lim & Seung-Hoon Yoo, 2022. "A Price Premium for the District Heating System: An Empirical Investigation on South Korean Residents," Sustainability, MDPI, vol. 14(12), pages 1-10, June.
    7. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    8. Le Gloux, Fanny & Dupraz, Pierre & Issanchou, Alice & Ropars-Collet, Carole, 2022. "Payments for environmental services with provision thresholds: farmers’ preferences for a conditional bonus," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321177, Agricultural Economics Society - AES.
    9. Joalland, Olivier & Mahieu, Pierre-Alexandre, 2023. "Developing large-scale offshore wind power programs: A choice experiment analysis in France," Ecological Economics, Elsevier, vol. 204(PA).
    10. Tobias Holmsgaard Larsen & Thomas Lundhede & Søren Bøye Olsen & Brian H. Jacobsen, 2021. "Incorporating time lags and uncertainty in cost-benefit analysis of water quality improvements – a case study of Limfjorden, Denmark," IFRO Working Paper 2021/01, University of Copenhagen, Department of Food and Resource Economics.
    11. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    12. Viola Di Cori & Cristiano Franceschinis & Nicolas Robert & Davide Matteo Pettenella & Mara Thiene, 2021. "Moral Foundations and Willingness to Pay for Non-Wood Forest Products: A Study in Three European Countries," Sustainability, MDPI, vol. 13(23), pages 1-16, December.
    13. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Consumer preferences for the design of a demand response quota scheme – Results of a choice experiment in Germany," Energy Policy, Elsevier, vol. 167(C).
    14. Howai, Niko, 2023. "Mangrove Ecosystem Services in Tobago: Challenges, Uses and Future Prospects," Farm and Business - The Journal of the Caribbean Agro-Economic Society, Caribbean Agro-Economic Society, vol. 15(1), December.
    15. Thiermann, Insa & Breustedt, Gunnar & Latacz-Lohmann, Uwe, 2021. "Verringerung von Ammoniakemissionen durch Gülleansäuerung auf dem Feld: Teilnahmebereitschaft von Landwirten an Förderprogrammen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(03), January.
    16. Sobolewski, Maciej, 2021. "Measuring consumer well-being from using free-of-charge digital services. The case of navigation apps," Information Economics and Policy, Elsevier, vol. 56(C).
    17. Anders Dugstad & Kristine M. Grimsrud & Gorm Kipperberg & Henrik Lindhjem & Ståle Navrud, 2021. "Scope Elasticity of Willingness to pay in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(1), pages 21-57, September.
    18. So-Yeon Park & Ju-Hee Kim & Jungkwan Seo & Seung-Hoon Yoo, 2022. "Evaluating the Economic Benefits of Tightening Regulations on the Use of Toluene, a Hazardous Chemical, in South Korea," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
    19. Parron, Lucilia Maria & Villanueva, Anastasio Jose & Glenk, Klaus, 2022. "Estimating the value of ecosystem services in agricultural landscapes amid intensification pressures: The Brazilian case," Ecosystem Services, Elsevier, vol. 57(C).
    20. Dang Vu, Hoai Nam & Nielsen, Martin Reinhardt & Jacobsen, Jette Bredahl, 2022. "Conserving rhinos by legal trade: Insights from a choice experiment with rhino horn consumers," Ecological Economics, Elsevier, vol. 193(C).
    21. Stetter, Christian & Sauer, Johannes, 2022. "Agroforestry Adoption in the Face of Regional Weather Extremes," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321173, Agricultural Economics Society - AES.
    22. Sandra Notaro & Maria De Salvo, 2021. "Does Music Affect Visitors’ Choices for the Management and Conservation of Ecosystem Services?," Sustainability, MDPI, vol. 13(18), pages 1-13, September.
    23. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    24. Céline Moreaux & Jette Bredahl Jacobsen & Jürgen Meyerhoff & Bo Dalsgaard & Carsten Rahbek & Niels Strange, 2023. "Distance and Regional Effects on the Value of Wild Bee Conservation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 37-63, January.
    25. Bartkowski, Bartosz & Massenberg, Julian Richard & Lienhoop, Nele, 2022. "Between complexity and unfamiliarity: Preferences for soil-based ecosystem services," UFZ Discussion Papers 3/2022, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).

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