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Stefan Eriksen Mabit

Personal Details

First Name:Stefan
Middle Name:Eriksen
Last Name:Mabit
Suffix:
RePEc Short-ID:pma1897
[This author has chosen not to make the email address public]

Affiliation

Institut for Teknologi, Ledelse og Økonomi
Danmarks Tekniske Universitet

Lyngby, Denmark
https://www.man.dtu.dk/
RePEc:edi:ipdtudk (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Fosgerau, Mogens & Mabit, Stefan, 2013. "Easy and flexible mixture distributions," MPRA Paper 46078, University Library of Munich, Germany.

Articles

  1. Jensen, Anders Fjendbo & Mabit, Stefan Lindhard, 2017. "The use of electric vehicles: A case study on adding an electric car to a household," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 89-99.
  2. Mabit, Stefan L., 2017. "Empirical analyses of a choice model that captures ordering among attribute values," Journal of choice modelling, Elsevier, vol. 25(C), pages 3-10.
  3. Mabit, Stefan L. & Cherchi, Elisabetta & Jensen, Anders F. & Jordal-Jørgensen, Jørgen, 2015. "The effect of attitudes on reference-dependent preferences: Estimation and validation for the case of alternative-fuel vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 17-28.
  4. Mabit, Stefan L., 2014. "Vehicle type choice under the influence of a tax reform and rising fuel prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 32-42.
  5. Mabit, Stefan L. & Rich, Jeppe & Burge, Peter & Potoglou, Dimitris, 2013. "Valuation of travel time for international long-distance travel – results from the Fehmarn Belt stated choice experiment," Journal of Transport Geography, Elsevier, vol. 33(C), pages 153-161.
  6. Fosgerau, Mogens & Mabit, Stefan L., 2013. "Easy and flexible mixture distributions," Economics Letters, Elsevier, vol. 120(2), pages 206-210.

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. Fosgerau, Mogens & Mabit, Stefan, 2013. "Easy and flexible mixture distributions," MPRA Paper 46078, University Library of Munich, Germany.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Bujosa Bestard, Angel & Riera Font, Antoni, 2021. "Attribute range effects: Preference anomaly or unexplained variance?," Journal of choice modelling, Elsevier, vol. 41(C).
    3. 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.
    4. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    5. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Willingness to pay for regional electricity generation – A question of green values and regional product beliefs?," Energy Economics, Elsevier, vol. 110(C).
    6. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    7. 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.
    8. Mikołaj Czajkowski & Wiktor Budziński, 2017. "Simulation error in maximum likelihood estimation of discrete choice models," Working Papers 2017-18, Faculty of Economic Sciences, University of Warsaw.
    9. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.
    10. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
    11. Zemo, Kahsay Haile & Termansen, Mette, 2018. "Farmers’ willingness to participate in collective biogas investment: A discrete choice experiment study," Resource and Energy Economics, Elsevier, vol. 52(C), pages 87-101.
    12. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    13. 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.
    14. Vincenzina Caputo & Riccardo Scarpa & Rodlofo M. Nayga & David L. Ortega, 2017. "Are Preferences for Food Quality Attributes Really Normally Distributed? An Analysis Using Flexible Mixing Distributions," Working Papers in Economics 17/27, University of Waikato.
    15. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," MPRA Paper 67053, University Library of Munich, Germany.
    16. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    17. Daziano, Ricardo A., 2020. "Flexible customer willingness to pay for bundled smart home energy products and services," Resource and Energy Economics, Elsevier, vol. 61(C).
    18. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Extending the logit-mixed logit model for a combination of random and fixed parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 88-96.
    19. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
    20. Train, Kenneth, 2016. "Mixed logit with a flexible mixing distribution," Journal of choice modelling, Elsevier, vol. 19(C), pages 40-53.
    21. 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).
    22. Mabit, Stefan L., 2014. "Vehicle type choice under the influence of a tax reform and rising fuel prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 32-42.
    23. 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.
    24. 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.
    25. Jan (J.) Rouwendal, 2017. "Specification Tests for The Multinomial Logit Model Revisited: The Role of Alternative-Specific Constants," Tinbergen Institute Discussion Papers 17-068/VIII, Tinbergen Institute, revised 29 Jan 2018.

Articles

  1. Jensen, Anders Fjendbo & Mabit, Stefan Lindhard, 2017. "The use of electric vehicles: A case study on adding an electric car to a household," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 89-99.

    Cited by:

    1. Han Su & Qian Zhang & Wanying Wang & Xiaoan Tang, 2021. "A Driving Behavior Distribution Fitting Method Based on Two-Stage Hybrid User Classification," Sustainability, MDPI, vol. 13(13), pages 1-24, June.
    2. Grimm, Veronika & Kretschmer, Sandra & Mehl, Simon, 2020. "Green innovations: The organizational setup of pilot projects and its influence on consumer perceptions," Energy Policy, Elsevier, vol. 142(C).
    3. Haustein, Sonja & Jensen, Anders Fjendbo & Cherchi, Elisabetta, 2021. "Battery electric vehicle adoption in Denmark and Sweden: Recent changes, related factors and policy implications," Energy Policy, Elsevier, vol. 149(C).
    4. Danielis, Romeo & Scorrano, Mariangela & Giansoldati, Marco & Rotaris, Lucia, 2019. "A meta-analysis of the importance of the driving range in consumers’ preference studies for battery electric vehicles," Working Papers 19_2, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    5. Anders F. Jensen & Thomas K. Rasmussen & Carlo G. Prato, 2020. "A Route Choice Model for Capturing Driver Preferences When Driving Electric and Conventional Vehicles," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    6. Weidong Meng & Ye Wang & Yuyu Li & Bo Huang, 2020. "Impact of product subsidies on R&D investment for new energy vehicle firms: Considering quality preference of the early adopter group," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
    7. Wolfgang Habla & Vera Huwe & Martin Kesternich, 2020. "Beyond Monetary Barriers to Electric Vehicle Adption: Evidence from Observed Usage of Private and Shared Cars," MAGKS Papers on Economics 202028, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    8. Wang, Lei & Fu, Zhong-Lin & Guo, Wei & Liang, Ruo-Yu & Shao, Hong-Yu, 2020. "What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons," Energy Policy, Elsevier, vol. 142(C).

  2. Mabit, Stefan L. & Cherchi, Elisabetta & Jensen, Anders F. & Jordal-Jørgensen, Jørgen, 2015. "The effect of attitudes on reference-dependent preferences: Estimation and validation for the case of alternative-fuel vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 17-28.

    Cited by:

    1. Fabio Carlucci & Andrea Cirà & Giuseppe Lanza, 2018. "Hybrid Electric Vehicles: Some Theoretical Considerations on Consumption Behaviour," Sustainability, MDPI, vol. 10(4), pages 1-11, April.
    2. Jose J. Soto & Victor Cantillo & Julian Arellana, 2018. "Incentivizing alternative fuel vehicles: the influence of transport policies, attitudes and perceptions," Transportation, Springer, vol. 45(6), pages 1721-1753, November.
    3. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    4. Hackbarth, André & Madlener, Reinhard, 2018. "Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany," FCN Working Papers 17/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2019.
    5. Nie, Yu (Marco) & Ghamami, Mehrnaz & Zockaie, Ali & Xiao, Feng, 2016. "Optimization of incentive polices for plug-in electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 103-123.
    6. Bansal, Prateek & Kumar, Rajeev Ranjan & Raj, Alok & Dubey, Subodh & Graham, Daniel J., 2021. "Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles," Energy Economics, Elsevier, vol. 100(C).
    7. Liu, Yajie & Dong, Feng, 2022. "What are the roles of consumers, automobile production enterprises, and the government in the process of banning gasoline vehicles? Evidence from a tripartite evolutionary game model," Energy, Elsevier, vol. 238(PC).
    8. Kim, Kyungah & Lee, Jongsu & Kim, Junghun, 2021. "Can liquefied petroleum gas vehicles join the fleet of alternative fuel vehicles? Implications of transportation policy based on market forecast and environmental impact," Energy Policy, Elsevier, vol. 154(C).

  3. Mabit, Stefan L., 2014. "Vehicle type choice under the influence of a tax reform and rising fuel prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 32-42.

    Cited by:

    1. Bruno de Borger & Ismir Mulalic & Jan Rouwendal, 2015. "Measuring the Rebound Effect with Micro Data," Tinbergen Institute Discussion Papers 15-039/VIII, Tinbergen Institute.
    2. Bhardwaj, Chandan & Axsen, Jonn & Kern, Florian & McCollum, David, 2020. "Why have multiple climate policies for light-duty vehicles? Policy mix rationales, interactions and research gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 309-326.
    3. Gerlagh, Reyer & van den Bijgaart, Inge & Nijland, Hans & Michielsen, Thomas, 2015. "Fiscal Policy and CO2 Emissions of New Passenger Cars in the EU," Climate Change and Sustainable Development 202239, Fondazione Eni Enrico Mattei (FEEM).
    4. Sheldon, Tamara L. & Dua, Rubal, 2020. "Effectiveness of China's plug-in electric vehicle subsidy," Energy Economics, Elsevier, vol. 88(C).
    5. Galarraga, Ibon & Kallbekken, Steffen & Silvestri, Alessandro, 2020. "Consumer purchases of energy-efficient cars: How different labelling schemes could affect consumer response to price changes," Energy Policy, Elsevier, vol. 137(C).
    6. Anna Matas Prat & Josep Lluís Raymond Bara & Jorge Andrés Domínguez Moreno, 2016. "Changes in fuel economy: An analysis of the Spanish car market," Working Papers wpdea1608, Department of Applied Economics at Universitat Autonoma of Barcelona.
    7. Nkosi, Mfundo & Dikgang, Johane & Kutela Gelo, Dambala & Pholo, Alain, 2021. "Greening the vehicle fleet, how does South Africa’s tax reforms affect new car sales," EconStor Preprints 236726, ZBW - Leibniz Information Centre for Economics.
    8. Alberini, Anna & Bareit, Markus, 2019. "The effect of registration taxes on new car sales and emissions: Evidence from Switzerland," Resource and Energy Economics, Elsevier, vol. 56(C), pages 96-112.
    9. Reyer Gerlagh & Inge Bijgaart & Hans Nijland & Thomas Michielsen, 2018. "Fiscal Policy and $$\hbox {CO}_{2}$$ CO 2 Emissions of New Passenger Cars in the EU," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 103-134, January.
    10. Bergantino, Angela S. & Intini, Mario & Percoco, Marco, 2021. "New car taxation and its unintended environmental consequences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 36-48.
    11. Anna Alberini & Markus Bareit, 2016. "The Effect of Registration Taxes on New Car Sales and Emissions: Evidence from Switzerland," CER-ETH Economics working paper series 16/245, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    12. Wang, Sinan & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2017. "Heuristic method for automakers' technological strategy making towards fuel economy regulations based on genetic algorithm: A China's case under corporate average fuel consumption regulation," Applied Energy, Elsevier, vol. 204(C), pages 544-559.
    13. Anna Alberini, Markus Bareit and Massimo Filippini, 2016. "What is the Effect of Fuel Efficiency Information on Car Prices? Evidence from Switzerland," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    14. Hackbarth, André & Madlener, Reinhard, 2018. "Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany," FCN Working Papers 17/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2019.
    15. Habibi, Shiva & Beser Hugosson, Muriel & Sundbergh, Pia & Algers, Staffan, 2015. "Evaluation of bonus-malus systems for reducing car fleet CO2 emissions in Sweden," Working papers in Transport Economics 2015:6, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 27 Sep 2016.
    16. Mónica Meireles & Margarita Robaina & Daniel Magueta, 2021. "The Effectiveness of Environmental Taxes in Reducing CO 2 Emissions in Passenger Vehicles: The Case of Mediterranean Countries," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    17. Sheldon, Tamara L. & Dua, Rubal, 2019. "Measuring the cost-effectiveness of electric vehicle subsidies," Energy Economics, Elsevier, vol. 84(C).
    18. Shiva Habibi & Emma Frejinger & Marcus Sundberg, 2019. "An empirical study on aggregation of alternatives and its influence on prediction in car type choice models," Transportation, Springer, vol. 46(3), pages 563-582, June.
    19. Sheldon, Tamara L. & Dua, Rubal, 2021. "How responsive is Saudi new vehicle fleet fuel economy to fuel-and vehicle-price policy levers?," Energy Economics, Elsevier, vol. 97(C).
    20. Abate, Megersa, 2014. "Does fuel price affect trucking industry’s network characteristics?: evidence from Denmark," Working papers in Transport Economics 2014:26, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    21. Habibi, Shiva & Beser Hugosson, Muriel & Sundbergh, Pia & Algers, Staffan, 2016. "Car fleet policy evaluation: the case of a Bonus-Malus system in Sweden," Working papers in Transport Economics 2016:19, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    22. Fridstrøm, Lasse & Østli, Vegard, 2017. "The vehicle purchase tax as a climate policy instrument," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 168-189.
    23. van den Bijgaart, Inge, 2016. "Essays in environmental economics and policy," Other publications TiSEM 298bee2a-cb08-4173-9fe1-8, Tilburg University, School of Economics and Management.
    24. Reyer Gerlagh & Inge van den Bijgaart & Hans Nijland & Thomas Michielsen, 2015. "Fiscal Policy and CO2 Emissions of New Passenger Cars in the EU," Working Papers 2015.32, Fondazione Eni Enrico Mattei.
    25. Konstantakis, Konstantinos N. & Milioti, Christina & Michaelides, Panayotis G., 2017. "Modeling the dynamic response of automobile sales in troubled times: A real-time Vector Autoregressive analysis with causality testing for Greece," Transport Policy, Elsevier, vol. 59(C), pages 75-81.
    26. Pyddoke, Roger & Swärdh, Jan-Erik & Algers, Staffan & Habibi, Shiva & Sedehi Zadeh, Noor, 2019. "Long-term responses to car-tax policies: distributional effects and reduced carbon emissions," Papers 2019:4, Research Programme in Transport Economics.
    27. Kemal Çelik & Erkan Oktay & Muhsin Doğan Ebül & Ömer Özhancı, 2015. "Factors influencing consumers’ light commercial vehicle purchase intention in a developing country," Management & Marketing, Sciendo, vol. 10(2), pages 148-162, September.
    28. Kok, Robert, 2015. "Six years of CO2-based tax incentives for new passenger cars in The Netherlands: Impacts on purchasing behavior trends and CO2 effectiveness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 137-153.

  4. Mabit, Stefan L. & Rich, Jeppe & Burge, Peter & Potoglou, Dimitris, 2013. "Valuation of travel time for international long-distance travel – results from the Fehmarn Belt stated choice experiment," Journal of Transport Geography, Elsevier, vol. 33(C), pages 153-161.

    Cited by:

    1. Wiktor Budziński, 2015. "The effects of non-constant marginal utility of cost for public goods valuation," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 43.
    2. Yun Wang & Xuedong Yan & Yu Zhou & Qingwan Xue, 2017. "Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling," Sustainability, MDPI, vol. 9(11), pages 1-22, October.
    3. Cattaneo, Mattia & Malighetti, Paolo & Paleari, Stefano & Redondi, Renato, 2016. "The role of the air transport service in interregional long-distance students’ mobility in Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 66-82.
    4. Min Su & Weixin Luan & Liuyan Yuan & Rui Zhang & Zhenchao Zhang, 2019. "Sustainability Development of High-Speed Rail and Airline—Understanding Passengers’ Preferences: A Case Study of the Beijing–Shanghai Corridor," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    5. Daqing Zu & Kang Cao & Jian Xu, 2021. "The Impacts of Transportation Sustainability on Higher Education in China," Sustainability, MDPI, vol. 13(22), pages 1-17, November.

  5. Fosgerau, Mogens & Mabit, Stefan L., 2013. "Easy and flexible mixture distributions," Economics Letters, Elsevier, vol. 120(2), pages 206-210.
    See citations under working paper version above.

More information

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DCM: Discrete Choice Models (1) 2013-04-13
  2. NEP-ECM: Econometrics (1) 2013-04-13

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