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David Brownstone

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. Chakraborty, Debapriya & Bunch, David S. & Xu, Bingzheng & Brownstone, David & Tal, Gil, 2021. "Plug-in Electric Vehicle Diffusion in California: Role of Exposure to New Technology at Home and Work," Institute of Transportation Studies, Working Paper Series qt7fs8295j, Institute of Transportation Studies, UC Davis.

    Cited by:

    1. Li, Guodong & Walls, W.D. & Zheng, Xiaoli, 2023. "Differential license plate pricing and electric vehicle adoption in Shanghai, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    2. Chenran Jia & Can Ding & Wenhui Chen, 2023. "Research on the Diffusion Model of Electric Vehicle Quantity Considering Individual Choice," Energies, MDPI, vol. 16(14), pages 1-15, July.
    3. Sikder, Sujit Kumar & Nagarajan, Magesh & Mustafee, Navonil, 2023. "Augmenting EV charging infrastructure towards transformative sustainable cities: An equity-based approach," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Khatua, Apalak & Ranjan Kumar, Rajeev & Kumar De, Supriya, 2023. "Institutional enablers of electric vehicle market: Evidence from 30 countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    5. Yahong Jiang & Qunqi Wu & Min Li & Yulei Gu & Jun Yang, 2023. "What Is Affecting the Popularity of New Energy Vehicles? A Systematic Review Based on the Public Perspective," Sustainability, MDPI, vol. 15(18), pages 1-29, September.
    6. Ruguo Fan & Rongkai Chen, 2022. "Promotion Policies for Electric Vehicle Diffusion in China Considering Dynamic Consumer Preferences: A Network-Based Evolutionary Analysis," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
    7. Ahmad, Hafsoah & Rahul, T.M. & Asija, Navdeep K., 2025. "Accelerators and hurdles, and their mediating effects on electric vehicle adoption," Transport Policy, Elsevier, vol. 162(C), pages 20-30.
    8. Iogansen, Xiatian & Wang, Kailai & Bunch, David & Matson, Grant & Circella, Giovanni, 2023. "Deciphering the factors associated with adoption of alternative fuel vehicles in California: An investigation of latent attitudes, socio-demographics, and neighborhood effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    9. Hardman, Scott PhD & Chakraborty, Amrita PhD & Hoogland, Kelly & Sugihara, Claire, 2022. "Potential Challenges and Research Needs in reaching 100% Zero Emission Vehicle Sales- A Focus on Plug-in Electric Vehicles," Institute of Transportation Studies, Working Paper Series qt8dt5b2q6, Institute of Transportation Studies, UC Davis.
    10. Xiu Cheng & Ruyin Long & Fan Wu, 2022. "How Symbols and Social Interaction Influence the Experienced Utility of Sustainable Lifestyle Guiding Policies: Evidence from Eastern China," IJERPH, MDPI, vol. 19(7), pages 1-22, April.
    11. Shi, Hui & Goulias, Konstadinos G., 2024. "Understanding the zero-emission vehicle market spatial diffusion and its determinants from 2019 to 2022 using spatial econometric models," Energy, Elsevier, vol. 313(C).

  2. Kim, Jinwon & Brownstone, David, 2013. "The Impact of Residential Density on Vehicle Usage and Fuel Consumption: Evidence from National Samples," MPRA Paper 47785, University Library of Munich, Germany.

    Cited by:

    1. Melanie Krause & André Seidel, 2020. "Land Scarcity and Urban Density within Cities," CESifo Working Paper Series 8660, CESifo.
    2. Gabriel Ahlfeldt & Elisabetta Pietrostefani, 2017. "The Economic Effects of Density: A Synthesis," CESifo Working Paper Series 6744, CESifo.
    3. Peikun Li & Quantao Yang & Wenbo Lu, 2024. "Nonlinear Relationship of Multi-Source Land Use Features with Temporal Travel Distances at Subway Station Level: Empirical Study from Xi’an City," Land, MDPI, vol. 13(7), pages 1-16, July.
    4. Brownstone, David & Fang, Hao Audrey, 2010. "A Vehicle Ownership and Utilization Choice Model with Edogenous Residential Density," University of California Transportation Center, Working Papers qt2hc4h6h5, University of California Transportation Center.
    5. Fernando Rubiera-Morollón & Ruben Garrido-Yserte, 2020. "Recent Literature about Urban Sprawl: A Renewed Relevance of the Phenomenon from the Perspective of Environmental Sustainability," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
    6. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Centre for Economic Performance, LSE.
    7. Chai, Jian & Yang, Ying & Wang, Shouyang & Lai, Kin Keung, 2016. "Fuel efficiency and emission in China's road transport sector: Induced effect and rebound effect," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 188-197.
    8. Leung, Kevin Y.K. & Astroza, Sebastian & Loo, Becky P.Y. & Bhat, Chandra R., 2019. "An environment-people interactions framework for analysing children's extra-curricular activities and active transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 341-358.
    9. Bhat, Chandra R., 2024. "Transformation-based flexible error structures for choice modeling," Journal of choice modelling, Elsevier, vol. 53(C).
    10. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    11. Andrew Perumal & David Timmons, 2017. "Contextual Density and US Automotive CO2 Emissions across the Rural–Urban Continuum," International Regional Science Review, , vol. 40(6), pages 590-615, November.
    12. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    13. Kim, Jinwon, 2015. "Vehicle Fuel-Efficiency Choices, Emission Externalities, and Urban Sprawl," MPRA Paper 66922, University Library of Munich, Germany.
    14. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2016. "Individual transport emissions and the built environment: A structural equation modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 206-219.
    15. Chatman, Daniel G. PhD & Barbour, Elisa PhD & Kerzhner, Tamara & Manville, Michael PhD & Reid, Carolina PhD, 2023. "Policies to Improve Transportation Sustainability, Accessibility, and Housing Affordability in the State of California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt03z7t8r1, Institute of Transportation Studies, UC Berkeley.
    16. Bhat, Chandra R. & Mondal, Aupal, 2022. "A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 244-266.
    17. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    18. Jaccard, Mark & Murphy, Rose & Zuehlke, Brett & Braglewicz, Morgan, 2019. "Cities and greenhouse gas reduction: Policy makers or policy takers?," Energy Policy, Elsevier, vol. 134(C).
    19. Bin-Nun, Amitai Y. & Binamira, Isabel, 2020. "A framework for the impact of highly automated vehicles with limited operational design domains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 174-188.
    20. Achim Ahrens & Seán Lyons, 2019. "Changes in Land Cover and Urban Sprawl in Ireland From a Comparative Perspective Over 1990–2012," Land, MDPI, vol. 8(1), pages 1-14, January.
    21. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
    22. Kotval-K, Zeenat & Vojnovic, Igor, 2016. "A socio-ecological exploration into urban form: The environmental costs of travel," Ecological Economics, Elsevier, vol. 128(C), pages 87-98.
    23. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    24. Manville, Michael & Pinski, Miriam, 2020. "Parking behaviour: Bundled parking and travel behavior in American cities," Land Use Policy, Elsevier, vol. 91(C).
    25. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
    26. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    27. Dascher, Kristof, 2013. "City Silhouette, World Climate," MPRA Paper 48375, University Library of Munich, Germany.
    28. Yu, Le & Xie, Binglei & Chan, Edwin H.W., 2019. "Exploring impacts of the built environment on transit travel: Distance, time and mode choice, for urban villages in Shenzhen, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 57-71.
    29. Dillon, Harya S. & Saphores, Jean-Daniel & Boarnet, Marlon G., 2015. "The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey," Research in Transportation Economics, Elsevier, vol. 52(C), pages 23-33.
    30. Faan Chen & Adriano Borges Costa, 2024. "Exploring the causal effects of the built environment on travel behavior: a unique randomized experiment in Shanghai," Transportation, Springer, vol. 51(1), pages 215-245, February.

  3. Brownstone, David & Fang, Hao Audrey, 2010. "A Vehicle Ownership and Utilization Choice Model with Edogenous Residential Density," University of California Transportation Center, Working Papers qt2hc4h6h5, University of California Transportation Center.

    Cited by:

    1. Rith, Monorom & Fillone, Alexis & Biona, Jose Bienvenido M., 2019. "The impact of socioeconomic characteristics and land use patterns on household vehicle ownership and energy consumption in an urban area with insufficient public transport service – A case study of me," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    2. Zhang, Zhao & Jin, Wen & Jiang, Hai & Xie, Qianyan & Shen, Wei & Han, Weijian, 2017. "Modeling heterogeneous vehicle ownership in China: A case study based on the Chinese national survey," Transport Policy, Elsevier, vol. 54(C), pages 11-20.
    3. Bruno De Borger & Ismir Mulalic & Jan Rouwendal, 2013. "Substitution between Cars within the Household," Tinbergen Institute Discussion Papers 13-158/VIII, Tinbergen Institute.
    4. Leung, Kevin Y.K. & Astroza, Sebastian & Loo, Becky P.Y. & Bhat, Chandra R., 2019. "An environment-people interactions framework for analysing children's extra-curricular activities and active transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 341-358.
    5. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).
    6. Winston, Clifford & Yan, Jia, 2021. "Vehicle size choice and automobile externalities: A dynamic analysis," Journal of Econometrics, Elsevier, vol. 222(1), pages 196-218.
    7. Schmidt, Peter, 2020. "The effect of car sharing on car sales," International Journal of Industrial Organization, Elsevier, vol. 71(C).
    8. Bhat, Chandra R., 2015. "A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 161-188.
    9. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    10. Toshiyuki Yamamoto & Jean-Loup Madre & Matthieu Lapparent & Roger Collet, 2020. "A random heaping model of annual vehicle kilometres travelled considering heterogeneous approximation in reporting," Transportation, Springer, vol. 47(3), pages 1027-1045, June.
    11. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
    12. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    13. Manish Shirgaokar, 2016. "Expanding cities and vehicle use in India: Differing impacts of built environment factors on scooter and car use in Mumbai," Urban Studies, Urban Studies Journal Limited, vol. 53(15), pages 3296-3316, November.

  4. Kim, Jinwon & Brownstone, David, 2010. "The impact of residential density on vehicle usage and fuel consumption," University of California Transportation Center, Working Papers qt31m0w2x3, University of California Transportation Center.

    Cited by:

    1. Gillingham, Kenneth & Munk-Nielsen, Anders, 2019. "A tale of two tails: Commuting and the fuel price response in driving," Journal of Urban Economics, Elsevier, vol. 109(C), pages 27-40.

  5. André de Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, Uncertainty and Discrete Choice Models," THEMA Working Papers 2008-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

    Cited by:

    1. Baillon, Aurélien & Koellinger, Philipp D. & Treffers, Theresa, 2016. "Sadder but wiser: The effects of emotional states on ambiguity attitudes," Journal of Economic Psychology, Elsevier, vol. 53(C), pages 67-82.
    2. Bertrand, Philippe & Prigent, Jean-luc, 2019. "On the optimality of path-dependent structured funds: The cost of standardization," European Journal of Operational Research, Elsevier, vol. 277(1), pages 333-350.
    3. Borgonovo, Emanuele & Marinacci, Massimo, 2015. "Decision analysis under ambiguity," European Journal of Operational Research, Elsevier, vol. 244(3), pages 823-836.
    4. Dimitrije Marković & Jan Gläscher & Peter Bossaerts & John O’Doherty & Stefan J Kiebel, 2015. "Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-34, October.
    5. Xiao, Yu & Fukuda, Daisuke, 2015. "On the cost of misperceived travel time variability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 96-112.
    6. Sara Amoroso & Pietro Moncada-Paternò-Castello & Antonio Vezzani, 2017. "R&D profitability: the role of risk and Knightian uncertainty," Small Business Economics, Springer, vol. 48(2), pages 331-343, February.
    7. Wang, Shenhao & Zhao, Jinhua, 2019. "Risk preference and adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 215-229.
    8. Herriges, Joseph A. & Bhattacharjee, Subhra & Kling, Catherine L., 2011. "Capturing preferences under incomplete scenarios using elicited choice probabilities," ISU General Staff Papers 201103230700001093, Iowa State University, Department of Economics.
    9. Foster, Gigi & Frijters, Paul & Schaffner, Markus & Torgler, Benno, 2018. "Expectation formation in an evolving game of uncertainty: New experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 379-405.
    10. Verme,Paolo, 2017. "The economics of forced displacement : an introduction," Policy Research Working Paper Series 8038, The World Bank.
    11. Gigi Foster & Paul Frijters & Markus Schaffner & Benno Torgler, 2013. "Expectation Formation in an Evolving Game of Uncertainty: Theory and New Experimental Evidence," CREMA Working Paper Series 2013-19, Center for Research in Economics, Management and the Arts (CREMA).
    12. Pallab Mozumder & William F. Vásquez, 2018. "Understanding Hurricane Evacuation Decisions Under Contingent Scenarios: A Stated Preference Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 407-425, October.
    13. Papola, Andrea & Tinessa, Fiore & Marzano, Vittorio, 2018. "Application of the Combination of Random Utility Models (CoRUM) to route choice," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 304-326.
    14. Nathalie Picard & André de Palma & Matthieu de Lapparent, 2014. "Risky Time Prospects and Travel Demand," Post-Print hal-02979668, HAL.
    15. Angela Robinson & Anne Spencer & Peter Moffatt, 2015. "A Framework for Estimating Health State Utility Values within a Discrete Choice Experiment," Medical Decision Making, , vol. 35(3), pages 341-350, April.
    16. Serge Garcia & Katrin Erdlenbruch & Boniface Derrick Mbarga, 2024. "A discrete choice experiment to measure the impact of flood risk information on residential location choices [Une expérience de choix discrets pour mesurer l'impact de l'information sur les risques," Working Papers hal-04594157, HAL.
    17. Wang, Shenhao & Mo, Baichuan & Zhao, Jinhua, 2021. "Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 333-358.
    18. Glenk, Klaus & Colombo, Sergio, 2013. "Modelling Outcome-Related Risk in Choice Experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-20.
    19. André, Eric, 2014. "Optimal portfolio with vector expected utility," Mathematical Social Sciences, Elsevier, vol. 69(C), pages 50-62.
    20. André de Palma & Nathalie Picard & Jean-Luc Prigent, 2010. "Eliciting Utility for (Non)Expected Utility Preferences Using Invariance Transformations," Working Papers hal-00517726, HAL.
    21. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    22. Tarik Driouchi & Lenos Trigeorgis & Raymond H. Y. So, 2018. "Option implied ambiguity and its information content: Evidence from the subprime crisis," Annals of Operations Research, Springer, vol. 262(2), pages 463-491, March.
    23. Ignacio A. Inoa & Nathalie Picard & André de Palma, 2013. "Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model," THEMA Working Papers 2013-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    24. Ignacio Inoa & Nathalie Picard & André de Palma, 2014. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Working Papers hal-00964212, HAL.
    25. Navid Khademi & Mojtaba Rajabi & Afshin S. Mohaymany & Mahdi Samadzad, 2016. "Day-to-day travel time perception modeling using an adaptive-network-based fuzzy inference system (ANFIS)," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 25-52, March.
    26. de Moraes Ramos, Giselle & Daamen, Winnie & Hoogendoorn, Serge, 2013. "Modelling travellers' heterogeneous route choice behaviour as prospect maximizers," Journal of choice modelling, Elsevier, vol. 6(C), pages 17-33.
    27. Nguyen, Quang, 2009. "Do fishermen have different preferences?: Insights from an experimental study and household data," MPRA Paper 16012, University Library of Munich, Germany.
    28. Kemel, Emmanuel & Paraschiv, Corina, 2013. "Prospect Theory for joint time and money consequences in risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 81-95.
    29. Börjesson, Maria & Eliasson, Jonas, 2011. "On the use of "average delay" as a measure of train reliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 171-184, March.
    30. André de Palma & Robin Lindsey & Nathalie Picard, 2012. "Risk Aversion, the Value of Information, and Traffic Equilibrium," Transportation Science, INFORMS, vol. 46(1), pages 1-26, February.
    31. Manley, E.J. & Addison, J.D. & Cheng, T., 2015. "Shortest path or anchor-based route choice: a large-scale empirical analysis of minicab routing in London," Journal of Transport Geography, Elsevier, vol. 43(C), pages 123-139.
    32. Greene, David L., 2011. "Uncertainty, loss aversion, and markets for energy efficiency," Energy Economics, Elsevier, vol. 33(4), pages 608-616, July.
    33. Vojtěch Menzl, 2021. "Alternative Views on the Link between Risk Aversion and Diminishing Marginal Utility of Wealth," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2021(2), pages 51-72.
    34. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
    35. Qi, Jin & Sim, Melvyn & Sun, Defeng & Yuan, Xiaoming, 2016. "Preferences for travel time under risk and ambiguity: Implications in path selection and network equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 264-284.
    36. Börjesson, Maria & Eliasson, Jonas, 2012. "Experiences from the Swedish Value of Time study," Working papers in Transport Economics 2012:8, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    37. Alessandra Cillo & Marco Bonetti & Giovanni Burro & Clelia Di Serio & Roberta De Filippis & Riccardo Maria Martoni, 2019. "Neurocognitive assessment in obsessive compulsive disorder patients: Adherence to behavioral decision models," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-16, February.
    38. Liya Guo & Shan Huang & Jun Zhuang & Adel Sadek, 2013. "Modeling Parking Behavior Under Uncertainty: A Static Game Theoretic versus a Sequential Neo-additive Capacity Modeling Approach," Networks and Spatial Economics, Springer, vol. 13(3), pages 327-350, September.
    39. Silberhorn, Nadja & Hildebrandt, Lutz, 2009. "Is cross-category brand loyalty determined by risk aversion?," SFB 649 Discussion Papers 2009-061, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    40. Markus Glatt & Roy Brouwer & Ivana Logar, 2019. "Combining Risk Attitudes in a Lottery Game and Flood Risk Protection Decisions in a Discrete Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1533-1562, December.
    41. Quang Nguyen, 2011. "Does nurture matter: Theory and experimental investigation on the effect of working environment on risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 245-270, December.
    42. Christian Schlereth & Christine Eckert & Bernd Skiera, 2012. "Using discrete choice experiments to estimate willingness-to-pay intervals," Marketing Letters, Springer, vol. 23(3), pages 761-776, September.
    43. André de Palma & Nathalie Picard & Jean-Luc Prigent, 2009. "Prise en compte de l'attitude face au risque dans le cadre de la directive MiFID," Working Papers hal-00418892, HAL.
    44. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    45. Giselle Moraes Ramos & Winnie Daamen & Serge Hoogendoorn, 2014. "A State-of-the-Art Review: Developments in Utility Theory, Prospect Theory and Regret Theory to Investigate Travellers' Behaviour in Situations Involving Travel Time Uncertainty," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 46-67, January.

  6. Steimetz, Seiji S.C. & Brownstone, David, 2004. "Estimating Commuters’ “Value of Time” with Noisy Data: a Multiple Imputation Approach," University of California Transportation Center, Working Papers qt52g9r2sd, University of California Transportation Center.

    Cited by:

    1. 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.
    2. Hymel, Kent M. & Small, Kenneth A. & Dender, Kurt Van, 2010. "Induced demand and rebound effects in road transport," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1220-1241, December.
    3. Georgina Santos & Erik Verhoef, 2011. "Road Congestion Pricing," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 23, Edward Elgar Publishing.
    4. Milos Balac & Sebastian Hörl & Basil Schmid, 2024. "Discrete choice modeling with anonymized data," Transportation, Springer, vol. 51(2), pages 351-370, April.
    5. Eivind Tveter, 2023. "The value of travel time: a revealed preferences approach using exogenous variation in travel costs and automatic traffic count data," Transportation, Springer, vol. 50(6), pages 2273-2297, December.
    6. Santos, Georgina & Behrendt, Hannah & Maconi, Laura & Shirvani, Tara & Teytelboym, Alexander, 2010. "Part I: Externalities and economic policies in road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 2-45.
    7. Kenneth A. Small & Clifford Winston & Jia Yan, 2005. "Differentiated Road Pricing, Express Lanes and Carpools: Exploiting Heterogeneous Preferences in Policy Design," Working Papers 050616, University of California-Irvine, Department of Economics, revised Mar 2006.
    8. Artés, Joaquín, 2009. "Long-run versus short-run decisions: R&D and market structure in Spanish firms," Research Policy, Elsevier, vol. 38(1), pages 120-132, February.
    9. English, Eric & von Haefen, Roger H. & Herriges, Joseph & Leggett, Christopher & Lupi, Frank & McConnell, Kenneth & Welsh, Michael & Domanski, Adam & Meade, Norman, 2018. "Estimating the value of lost recreation days from the Deepwater Horizon oil spill," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 26-45.
    10. Fezzi, Carlo & Bateman, Ian J. & Ferrini, Silvia, 2014. "Using revealed preferences to estimate the Value of Travel Time to recreation sites," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 58-70.
    11. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    12. Steimetz, Seiji S.C., 2008. "Defensive driving and the external costs of accidents and travel delays," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 703-724, November.
    13. Janson, Michael & Levinson, David, 2014. "HOT or not," Research in Transportation Economics, Elsevier, vol. 44(C), pages 21-32.
    14. Varotto, Silvia F. & Glerum, Aurélie & Stathopoulos, Amanda & Bierlaire, Michel & Longo, Giovanni, 2017. "Mitigating the impact of errors in travel time reporting on mode choice modelling," Journal of Transport Geography, Elsevier, vol. 62(C), pages 236-246.
    15. Artés, Joaquín, 2014. "The rain in Spain: Turnout and partisan voting in Spanish elections," European Journal of Political Economy, Elsevier, vol. 34(C), pages 126-141.
    16. Rong-Chang Jou & Tzu-Ying Chen, 2015. "External Costs to Parties Involved in Highway Traffic Accidents: The Perspective of Highway Users," Sustainability, MDPI, vol. 7(6), pages 1-23, June.
    17. Holgun-Veras, Jos & Cetin, Mecit, 2009. "Optimal tolls for multi-class traffic: Analytical formulations and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 445-467, May.
    18. Díaz, Federico & Cantillo, Víctor & Arellana, Julian & Ortúzar, Juan de Dios, 2015. "Accounting for stochastic variables in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 222-237.
    19. Shewmake, Sharon & Jarvis, Lovell, 2014. "Hybrid cars and HOV lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 304-319.

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    1. De Leon, Marycruz & Fullerton, Thomas M., Jr. & Kelley, Brian W., 2009. "Tolls, Exchange Rates, and Borderplex International Bridge Traffic," MPRA Paper 19861, University Library of Munich, Germany.
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    11. Fullerton, Thomas M., Jr. & Molina, Angel L., Jr. & Walke, Adam G., 2010. "Tolls, Exchange Rates, and Northbound International Bridge Traffic from Mexico," MPRA Paper 59586, University Library of Munich, Germany, revised 22 Jun 2012.
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    70. Xiangfeng Ji & Xuegang (Jeff) Ban & Mengtian Li & Jian Zhang & Bin Ran, 2017. "Non-expected Route Choice Model under Risk on Stochastic Traffic Networks," Networks and Spatial Economics, Springer, vol. 17(3), pages 777-807, September.
    71. Shewmake, Sharon & Jarvis, Lovell, 2014. "Hybrid cars and HOV lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 304-319.
    72. Smalkoski, Brian & Levinson, David, 2004. "Value Of Time For Commercial Vehicle Operators In Minnesota," 45th Annual Transportation Research Forum, Evanston, Illinois, March 21-23, 2004 208272, Transportation Research Forum.
    73. Olszewski, Piotr & Xie, Litian, 2005. "Modelling the effects of road pricing on traffic in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 755-772.
    74. Liu, Qiumin & Jiang, Rui & Liu, Ronghui & Zhao, Hui & Gao, Ziyou, 2020. "Travel cost budget based user equilibrium in a bottleneck model with stochastic capacity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 1-37.

  9. Brownstone, David & Golob, Thomas F. & Kazimi, Camilla, 2002. "Modelling non-ignorable attrition and measurement error in panel surveys: an application to travel demand modeling," University of California Transportation Center, Working Papers qt262891mq, University of California Transportation Center.

    Cited by:

    1. Brownstone, David & Steimetz, Seiji S. C., 2004. "Estimating Commuters’ “Value of Time” with Noisy Data: a Multiple Imputation Approach," University of California Transportation Center, Working Papers qt6s78c7rt, University of California Transportation Center.
    2. Small, K.A. & Yan, J., 1999. "The Value of "Value Princing" of Roads: Second-Best Pricing and Product Differentiation," Papers 99-00-02, California Irvine - School of Social Sciences.
    3. Golob, Thomas F., 2001. "Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 495-514, July.
    4. David Brownstone & Robert Valletta, 2001. "The Bootstrap and Multiple Imputations: Harnessing Increased Computing Power for Improved Statistical Tests," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 129-141, Fall.
    5. Golob, Thomas F., 1999. "Joint Models of Attitudes and Behavior in Evaluation of the San Diego I-15 Congestion Pricing Project," University of California Transportation Center, Working Papers qt0zs0z136, University of California Transportation Center.
    6. Steimetz, Siji S.C. & Brownstone, David, 2004. "Estimating Commuters' "Value of Time" and Noisy Data: a Multiple Imputation Approach," University of California Transportation Center, Working Papers qt4qh7m2d0, University of California Transportation Center.
    7. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.
    8. Shi, Miaoying & Yin, Runsheng & Lv, Hongdi, 2017. "An empirical analysis of the driving forces of forest cover change in northeast China," Forest Policy and Economics, Elsevier, vol. 78(C), pages 78-87.
    9. Golob, Thomas F., 1999. "Joint Models of Attitudes and Behavior in Evaluation of the San Diego I-15 Congestion Pricing Project," University of California Transportation Center, Working Papers qt16q7w28k, University of California Transportation Center.

  10. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.

    Cited by:

    1. Abdullah, Sabah & Mariel, Petr, 2010. "Choice experiment study on the willingness to pay to improve electricity services," Energy Policy, Elsevier, vol. 38(8), pages 4570-4581, August.
    2. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.
    3. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    4. Marcucci, Edoardo & Gatta, Valerio, 2011. "Regional airport choice: Consumer behaviour and policy implications," Journal of Transport Geography, Elsevier, vol. 19(1), pages 70-84.
    5. Mariel, Petr & Ayala, Amaya de & Hoyos, David & Abdullah, Sabah, 2013. "Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment," Journal of choice modelling, Elsevier, vol. 7(C), pages 44-57.
    6. Ivan Jeliazkov & Angela Vossmeyer, 2018. "The impact of estimation uncertainty on covariate effects in nonlinear models," Statistical Papers, Springer, vol. 59(3), pages 1031-1042, September.
    7. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
    8. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Are intrazonal trips ignorable?," Transport Policy, Elsevier, vol. 18(1), pages 13-22, January.
    9. Michael N.A. Mensah & Adusei Jumah, 2021. "Electronic Money and Consumer Spending Behaviour: Evidence from Ghana," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(3), pages 1-6.
    10. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice," Transport Policy, Elsevier, vol. 18(2), pages 326-335, March.
    11. Hoyos, David & Mariel, Petr & Fernández-Macho, Javier, 2009. "The influence of cultural identity on the WTP to protect natural resources: Some empirical evidence," Ecological Economics, Elsevier, vol. 68(8-9), pages 2372-2381, June.

  11. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," Department of Economics, Working Paper Series qt1j6814b3, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

    Cited by:

    1. Juan Carlos Pérez Mesa & Emilio Galdeano Gómez, 2011. "Demand Analysis For Alternative Sea Transport Services: Application Of Discrete Choice Models To The Agrifood Exporters," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(3), pages 65-95, Winter.
    2. Gabriela Scheufele & Jeff Bennett, 2010. "Ordering effects and strategic response in discrete choice experiments," Environmental Economics Research Hub Research Reports 1093, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    3. Heiss, Florian & Winschel, Viktor, 2008. "Likelihood approximation by numerical integration on sparse grids," Journal of Econometrics, Elsevier, vol. 144(1), pages 62-80, May.
    4. Lew, Daniel K. & Larson, Douglas M., 2005. "Accounting for stochastic shadow values of time in discrete-choice recreation demand models," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 341-361, September.
    5. Grösche, Peter & Schmidt, Christoph M. & Vance, Colin, 2009. "Identifying Free-Riding in Energy-Conservation Programs Using Revealed Preference Data," Ruhr Economic Papers 99, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Hugh Hennessy & Richard S. J. Tol, 2011. "The Impact of Government Policy on Private Car Ownership in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 42(2), pages 135-157.
    7. Kalouptsidis, N. & Psaraki, V., 2010. "Approximations of choice probabilities in mixed logit models," European Journal of Operational Research, Elsevier, vol. 200(2), pages 529-535, January.
    8. Profeta, Adriano, 2008. "Measurement of Cannibalism Effects in buying experiments using Mixed Logit Models - The Example of a new Brand of the “Fruits of Lake Constance” Association -," MPRA Paper 20542, University Library of Munich, Germany.
    9. Swait, Joffre, 2023. "Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms," Journal of choice modelling, Elsevier, vol. 47(C).
    10. Mannering, Fred & Winston, Clifford & Starkey, William, 2002. "An exploratory analysis of automobile leasing by US households," Journal of Urban Economics, Elsevier, vol. 52(1), pages 154-176, July.
    11. Bordley, Robert F., 2011. "An anti-ideal point representation of economic discrete choice models," Economics Letters, Elsevier, vol. 110(1), pages 60-63, January.
    12. Chiou, Yu-Chiun & Wen, Chieh-Hua & Tsai, Shih-Hsun & Wang, Wei-Ying, 2009. "Integrated modeling of car/motorcycle ownership, type and usage for estimating energy consumption and emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 665-684, August.
    13. Costanza Nosi & Tommaso Pucci & Cecilia Silvestri & Barbara Aquilani, 2017. "Does Value Co-Creation Really Matter? An Investigation of Italian Millennials Intention to Buy Electric Cars," Sustainability, MDPI, vol. 9(12), pages 1-21, November.
    14. Milan Scasny & Milan Scasny & Iva Zverinova & Mikolaj Czajkowski, 2015. "Individual preference for the alternative fuel vehicles and their attributes in Poland," EcoMod2015 8575, EcoMod.
    15. Yoshifumi Konishi & Sho Kuroda & Shunsuke Managi, 2024. "Income-based or Place-based? Carbon Dividends under Spatial Distribution of Automobile Demand," Keio-IES Discussion Paper Series 2024-019, Institute for Economics Studies, Keio University.
    16. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    17. Carlsson, Fredrik, 1999. "The Demand for Intercity Public Transport: The Case of Business Passengers," Working Papers in Economics 12, University of Gothenburg, Department of Economics.
    18. Hotaling, Chelsea & Bird, Stephen & Heintzelman, Martin D., 2021. "Willingness to pay for microgrids to enhance community resilience," Energy Policy, Elsevier, vol. 154(C).
    19. Small, Kenneth A & Winston, Clifford & Yan, Jia, 2002. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability: Implications for Road Pricing," University of California Transportation Center, Working Papers qt8zd2r34k, University of California Transportation Center.
    20. Ida, Takanori & Goto, Rei, 2009. "Interdependency among addictive behaviours and time/risk preferences: Discrete choice model analysis of smoking, drinking, and gambling," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 608-621, August.
    21. Peter Grosche & Colin Vance, 2009. "Willingness to Pay for Energy Conservation and Free-Ridership on Subsidization: Evidence from Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 135-154.
    22. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    23. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    24. Zhou, Mo & Bridges, John F.P., 2019. "Explore preference heterogeneity for treatment among people with Type 2 diabetes: A comparison of random-parameters and latent-class estimation techniques," Journal of choice modelling, Elsevier, vol. 30(C), pages 38-49.
    25. Sándor, Z. & Train, K., 2004. "Quasi-random simulation of discrete choice models," Econometric Institute Research Papers EI 2004-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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    27. Stephen Hynes & Nick Hanley & Cathal O’Donoghue, 2006. "Using Continuous and Finite Mixture Models to Account for Preference Heterogeneity in a group of Outdoor Recreationalists," Working Papers 0602, Rural Economy and Development Programme,Teagasc.
    28. Clifford Winston, 2013. "On the Performance of the U.S. Transportation System: Caution Ahead," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 773-824, September.
    29. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    30. Silvia Ferrini & Riccardo Scarpa, 2005. "Experimental Designs for Environmental Valuation with Choice-Experiments: A Monte-Carlo Investigation," Working Papers in Economics 05/08, University of Waikato.
    31. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    32. Jayarajan, Dinakar & Siddarth, S. & Silva-Risso, Jorge, 2018. "Cannibalization vs. competition: An empirical study of the impact of product durability on automobile demand," International Journal of Research in Marketing, Elsevier, vol. 35(4), pages 641-660.
    33. Ana C Rostran Molina & Anindya Banerjee & Federico Lampis, 2015. "Micro-Finance and Credit Access in the Agricultural Sector of Nicaragua," Discussion Papers 15-04, Department of Economics, University of Birmingham.
    34. David Levinson & Ramachandra Karamalaputi, 2003. "Predicting the Construction of New Highway Links," Working Papers 200305, University of Minnesota: Nexus Research Group.
    35. Beaudet, Chloé & Tardieu, Léa & David, Maia, 2022. "Are citizens willing to accept changes in public lighting for biodiversity conservation?," Ecological Economics, Elsevier, vol. 200(C).
    36. Aurélie Glerum & Lidija Stankovikj & Michaël Thémans & Michel Bierlaire, 2014. "Forecasting the Demand for Electric Vehicles: Accounting for Attitudes and Perceptions," Transportation Science, INFORMS, vol. 48(4), pages 483-499, November.
    37. Jang, Kitae & Chung, Koohong & Yeo, Hwasoo, 2014. "A dynamic pricing strategy for high occupancy toll lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 69-80.
    38. Hall, Jane & Fiebig, Denzil G. & King, Madeleine T. & Hossain, Ishrat & Louviere, Jordan J., 2006. "What influences participation in genetic carrier testing?: Results from a discrete choice experiment," Journal of Health Economics, Elsevier, vol. 25(3), pages 520-537, May.
    39. Börsch-Supan, Axel & Heiß, Florian & Miki Seko, 2002. "Housing Demand in Germany and Japan," MEA discussion paper series 02008, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    40. Christian Pfarr & Andreas Schmid & Morten Raun Mørkbak, 2018. "Modelling Heterogeneous Preferences for Income Redistribution–An Application of Continuous and Discrete Distributions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 270-294, June.
    41. Swait, Joffre & Bernardino, Adriana, 2000. "Distinguishing taste variation from error structure in discrete choice data," Transportation Research Part B: Methodological, Elsevier, vol. 34(1), pages 1-15, January.
    42. Bhat, Chandra R. & Castelar, Saul, 2002. "A unified mixed logit framework for modeling revealed and stated preferences: formulation and application to congestion pricing analysis in the San Francisco Bay area," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 593-616, August.
    43. Thierry BLAYAC & Patrice BOUGETTE & Christian MONTET, 2012. "How Consumer Information Curtails Market Power in the Funeral Industry," Working Papers 12-12, LAMETA, Universtiy of Montpellier, revised Apr 2012.
    44. Helveston, John Paul & Feit, Elea McDonnell & Michalek, Jeremy J., 2018. "Pooling stated and revealed preference data in the presence of RP endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 70-89.
    45. Hiroshi Ohashi & Tae-Seung Kim & Tae Hoon Oum & Chunyan Yu, 2004. "Choice of Air Cargo Transshipment Airport: An Application to Air Cargo Traffic to/from Northeast Asia," CIRJE F-Series CIRJE-F-291, CIRJE, Faculty of Economics, University of Tokyo.
    46. Froeb, Luke & Tschantz, Steven & Crooke, Philip, 2003. "Bertrand competition with capacity constraints: mergers among parking lots," Journal of Econometrics, Elsevier, vol. 113(1), pages 49-67, March.
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    48. Alpizar, Francisco & Carlsson, Fredrik & Martinsson, Peter, 2001. "Using Choice Experiments for Non-Market Valuation," Working Papers in Economics 52, University of Gothenburg, Department of Economics.
    49. Guido Ala & Gabriella Di Filippo & Fabio Viola & Graziella Giglia & Antonino Imburgia & Pietro Romano & Vincenzo Castiglia & Filippo Pellitteri & Giuseppe Schettino & Rosario Miceli, 2020. "Different Scenarios of Electric Mobility: Current Situation and Possible Future Developments of Fuel Cell Vehicles in Italy," Sustainability, MDPI, vol. 12(2), pages 1-22, January.
    50. Madden, Gary G & Simpson, Michael & Savage, Scott, 2002. "Broadband delivered entertainment services: forecasting Australian subscription intentions," MPRA Paper 10915, University Library of Munich, Germany.
    51. Scarpa Riccardo & Thiene Mara & Marangon Francesco, 2007. "The Value of Collective Reputation for Environmentally-Friendly Production Methods: The Case of Val di Gresta," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 5(1), pages 1-28, September.
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    53. Mark D. Agee, 2020. "Classroom management, persistent bullying, and teacher practices in a discrete choice model of habit formation," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(1), pages 5-16, December.
    54. Victoria Prowse, 2012. "Modeling Employment Dynamics With State Dependence and Unobserved Heterogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 411-431, April.
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    56. Erdem, Seda & Rigby, Dan, 2011. "Using Best Worst Scaling To Investigate Perceptions Of Control & Concern Over Food And Non-Food Risks," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108790, Agricultural Economics Society.
    57. Ricardo Scarpa & Mara Thiene & Francesco Marangon, 2007. "Using flexible taste distributions to value collective reputation for environmentally-friendly production methods," Working Papers in Economics 07/24, University of Waikato.
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    60. Dahlberg, Matz & Eklöf, Matias, 2003. "Relaxing the IIA Assumption in Locational Choice Models: A Comparison Between Conditional Logit, Mixed Logit, and Multinomial Probit Models," Working Paper Series 2003:9, Uppsala University, Department of Economics.
    61. Tesfaye, Abonesh & Brouwer, Roy, 2012. "Testing participation constraints in contract design for sustainable soil conservation in Ethiopia," Ecological Economics, Elsevier, vol. 73(C), pages 168-178.
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    67. Reto Nyffeler, 2005. "Different Modeling Strategies for Discrete Choice Models of Female Labour Supply: Estimates for Switzerland," Diskussionsschriften dp0508, Universitaet Bern, Departement Volkswirtschaft.
    68. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in the health-services market: accounting for quality and quantity," Post-Print halshs-00305309, HAL.
    69. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
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    74. Rungie, Cam & Scarpa, Riccardo & Thiene, Mara, 2014. "The influence of individuals in forming collective household preferences for water quality," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 161-174.
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    252. Ruchita & Ravi Shankar, 2025. "An integrated approach for modelling barriers of EVsCI," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(1), pages 356-376, January.
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    255. Qianwen Li & Ruyin Long & Hong Chen & Jichao Geng, 2017. "Low Purchase Willingness for Battery Electric Vehicles: Analysis and Simulation Based on the Fault Tree Model," Sustainability, MDPI, vol. 9(5), pages 1-20, May.
    256. Gillian Harrison & Simon P. Shepherd & Haibo Chen, 2021. "Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(2), pages 88-106, April.
    257. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.
    258. Yan, Shiyu, 2018. "The economic and environmental impacts of tax incentives for battery electric vehicles in Europe," Energy Policy, Elsevier, vol. 123(C), pages 53-63.
    259. Perrels, Adriaan & Tuovinen, Tarja, 2012. "The Effectiveness of Differentiation of the Finnish Car Purchase Tax according to Carbon Dioxide Emission Performance," Research Reports 168, VATT Institute for Economic Research.
    260. Biswas, Mehek & Bhat, Chandra R. & Ghosh, Sulagna & Pinjari, Abdul Rawoof, 2024. "Choice models with stochastic variables and random coefficients," Journal of choice modelling, Elsevier, vol. 51(C).
    261. Castillo-Valero, Juan S. & Sanchez-Garcia, Mercedes & Garcia-Cortijo, Mari Carmen, 2016. "Predicting grower choices in a regulated environment," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(01), November.

  13. Golob, Thomas F & Bunch, David S & Brownstone, David, 1997. "A Vehicle Use Forecasting Model Based on Revealed and Stated Vehicle Type Choice and Utilisation Data," University of California Transportation Center, Working Papers qt2bz335vw, University of California Transportation Center.

    Cited by:

    1. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    2. Chris Kavalec, 1999. "Vehicle Choice in an Aging Population: Some Insights from a Stated Preference Survey for California," The Energy Journal, , vol. 20(3), pages 123-138, July.
    3. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    4. Yoo, Sunbin & Yoshida, Yoshikuni, 2019. "Consumer preferences and financial incentives in the Japanese automobile industry," Transport Policy, Elsevier, vol. 81(C), pages 220-229.
    5. Wiedmann, Klaus-Peter & Hennigs, Nadine & Pankalla, Lars & Kassubek, Martin & Seegebarth, Barbara, 2011. "Adoption barriers and resistance to sustainable solutions in the automotive sector," Journal of Business Research, Elsevier, vol. 64(11), pages 1201-1206.
    6. de Haan, Peter & Mueller, Michel G. & Scholz, Roland W., 2009. "How much do incentives affect car purchase? Agent-based microsimulation of consumer choice of new cars--Part II: Forecasting effects of feebates based on energy-efficiency," Energy Policy, Elsevier, vol. 37(3), pages 1083-1094, March.
    7. Wang, Shenhao & Wang, Qingyi & Zhao, Jinhua, 2020. "Multitask learning deep neural networks to combine revealed and stated preference data," Journal of choice modelling, Elsevier, vol. 37(C).
    8. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    9. Sheng, Hongyan, 1999. "A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information," University of California Transportation Center, Working Papers qt0zp4g99j, University of California Transportation Center.
    10. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    11. Tamara L. Sheldon & J. R. DeShazo & Richard T. Carson, 2019. "Demand for Green Refueling Infrastructure," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 131-157, September.
    12. Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
    13. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," University of California Transportation Center, Working Papers qt7vg1057g, University of California Transportation Center.
    14. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    15. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
    16. Cirillo, Cinzia & Liu, Yan & Maness, Michael, 2017. "A time-dependent stated preference approach to measuring vehicle type preferences and market elasticity of conventional and green vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 294-310.
    17. Khoeini, Sara & Guensler, Randall, 2014. "Using vehicle value as a proxy for income: A case study on Atlanta's I-85 HOT lane," Research in Transportation Economics, Elsevier, vol. 44(C), pages 33-42.
    18. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2005. "Combining Revealed and Stated Preference Data to Estimate the Nonmarket Value of Ecological Services: An Assessment of the State of the Science," Working Papers 05-19, Department of Economics, Appalachian State University, revised 2007.
    19. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    20. Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    21. Chen, Cynthia & Niemeier, Debbie, 2005. "A mass point vehicle scrappage model," Transportation Research Part B: Methodological, Elsevier, vol. 39(5), pages 401-415, June.

  14. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.

    Cited by:

    1. Carlos Madeira, 2019. "Computing population weights for the EFH survey," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(1), pages 004-026, April.

  15. Brownstone, David & Velletta, Robert G., 1996. "Modeling Earnings Measurement Error: A Multiple Imputation Approach," University of California Transportation Center, Working Papers qt2t08s22q, University of California Transportation Center.

    Cited by:

    1. Jörg-Peter Schräpler, 2002. "Respondent Behavior in Panel Studies: A Case Study for Income-Nonresponse by Means of the German Socio-Economic Panel (GSOEP)," Discussion Papers of DIW Berlin 299, DIW Berlin, German Institute for Economic Research.
    2. Shore-Sheppard, Lara & Buchmueller, Thomas C. & Jensen, Gail A., 2000. "Medicaid and crowding out of private insurance: a re-examination using firm level data," Journal of Health Economics, Elsevier, vol. 19(1), pages 61-91, January.
    3. Fernández-Kranz, Daniel & Lacuesta, Aitor & Rodríguez-Planas, Núria, 2010. "Chutes and Ladders: Dual Tracks and the Motherhood Dip," IZA Discussion Papers 5403, Institute of Labor Economics (IZA).
    4. Florence Arestoff, 2000. "Taux de rendement de l’éducation sur le marché du travail d’un pays en développement Un réexamen du modèle de gains de Mincer," Working Papers DT/2000/11, DIAL (Développement, Institutions et Mondialisation).
    5. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 1998. "Combining Panel Data Sets with Attrition and Refreshment Samples," Tinbergen Institute Discussion Papers 98-033/4, Tinbergen Institute.
    6. Klevmarken, N. Anders, 2005. "Estimates of a labour supply function using alternative measures of hours of work," European Economic Review, Elsevier, vol. 49(1), pages 55-73, January.
    7. Javier Escobal & Sonia Laszlo, 2005. "Measurement Error in Access to Markets," Development and Comp Systems 0503008, University Library of Munich, Germany.
    8. Rehkopf, David H. & Jencks, Christopher & Glymour, M. Maria, 2010. "The association of earnings with health in middle age: Do self-reported earnings for the previous year tell the whole story?," Social Science & Medicine, Elsevier, vol. 71(3), pages 431-439, August.
    9. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    10. Donal O’Neill & Olive Sweetman, 2013. "The consequences of measurement error when estimating the impact of obesity on income," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-20, December.
    11. Pina-Sánchez Jose & Koskinen Johan & Plewis Ian, 2019. "Adjusting for Measurement Error in Retrospectively Reported Work Histories: An Analysis Using Swedish Register Data," Journal of Official Statistics, Sciendo, vol. 35(1), pages 203-229, March.
    12. Matthew Blackwell & James Honaker & Gary King, 2017. "A Unified Approach to Measurement Error and Missing Data: Overview and Applications," Sociological Methods & Research, , vol. 46(3), pages 303-341, August.
    13. Edward Kroc, 2023. "Generalized measurement error: Intrinsic and incidental measurement error," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-41, June.
    14. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
    15. Rodolphe Desbordes & Gary Koop, 2014. "The known unknowns of governance," Working Papers 1407, University of Strathclyde Business School, Department of Economics.
    16. David Brownstone & Robert Valletta, 2001. "The Bootstrap and Multiple Imputations: Harnessing Increased Computing Power for Improved Statistical Tests," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 129-141, Fall.
    17. Riandy Laksono & Arianto A. Patunru, 2024. "The dynamics of labor share decline in manufacturing: Evidence from Indonesia," Departmental Working Papers 2024-3, The Australian National University, Arndt-Corden Department of Economics.
    18. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.
    19. Suziedelyte, Agne & Johar, Meliyanni, 2013. "Can you trust survey responses? Evidence using objective health measures," Economics Letters, Elsevier, vol. 121(2), pages 163-166.
    20. Marsh, L.C.Lawrence C., 2004. "The econometrics of higher education: editor's view," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 1-18.
    21. Stinebrickner, Ralph & Stinebrickner, T.R.Todd R., 2004. "Time-use and college outcomes," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 243-269.
    22. Martin Schmalz & Jean-François Kagy & Jose Azar, 2014. "Can Changes in the Cost of Cash Resolve the Corporate Cash Puzzle?," 2014 Meeting Papers 1027, Society for Economic Dynamics.
    23. Schrapler, Jorg-Peter, 2003. "Respondent behaviour in panel studies: a case study for income-nonresponse by means of the British Household Panel Study (BHPS)," ISER Working Paper Series 2003-08, Institute for Social and Economic Research.
    24. Gabriele Durrant, 2006. "Missing data methods in official statistics in the United Kingdom: Some recent developments," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(4), pages 577-593, December.
    25. Jörg-Peter Schräpler, 2004. "Respondent Behavior in Panel Studies," Sociological Methods & Research, , vol. 33(1), pages 118-156, August.
    26. Donal O'Neill, 2015. "Correcting for Self-Reporting Bias in BMI: A Multiple Imputation Approach," Economics Department Working Paper Series n263-15.pdf, Department of Economics, National University of Ireland - Maynooth.
    27. Mauro Mastrogiacomo, 2010. "Testing Consumers' Asymmetric Perception Of Changes In Household Financial Situation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 327-350, June.
    28. Erik Meijer & Lynn A. Karoly & Pierre-Carl Michaud, 2010. "Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program," Working Papers WR-743, RAND Corporation.
    29. Emre Ekinci, 2009. "Dealing with Attrition When Refreshment Samples are Available: An Application to the Turkish Household Labor Force Survey," 2009 Meeting Papers 353, Society for Economic Dynamics.
    30. Chris Skinner & Nigel Stuttard & Gabriele Beissel‐Durrant & James Jenkins, 2002. "The Measurement of Low Pay in the UK Labour Force Survey," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(supplemen), pages 653-676, December.

  16. Golob, Thomas F & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soheila Soltani & Bunch, David S, 1996. "Commercial Fleet Demand for Alternative-Fuel Vehicles in California," University of California Transportation Center, Working Papers qt5qw4s22v, University of California Transportation Center.

    Cited by:

    1. Zhang, Yong & Yu, Yifeng & Zou, Bai, 2011. "Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV," Energy Policy, Elsevier, vol. 39(11), pages 7015-7024.
    2. Demeulenaere, Xavier, 2019. "The use of automotive fleets to support the diffusion of Alternative Fuel Vehicles: A Rapid Evidence Assessment of barriers and decision mechanisms," Research in Transportation Economics, Elsevier, vol. 76(C).
    3. Koetse, Mark J. & Hoen, Anco, 2014. "Preferences for alternative fuel vehicles of company car drivers," Resource and Energy Economics, Elsevier, vol. 37(C), pages 279-301.
    4. Alali, Layla & Niesten, Eva & Gagliardi, Dimitri, 2022. "The impact of UK financial incentives on the adoption of electric fleets: The moderation effect of GDP change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 200-220.
    5. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert & Turrentine, Thomas, 2017. "Barriers to the adoption of fuel cell vehicles: A qualitative investigation into early adopters attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 166-182.
    6. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Environmental attitudes and emissions charging: An example of policy implications for vehicle choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 171-182.
    7. Alexandros Dimitropoulos & Piet Rietveld & Jos N. van Ommeren, 2011. "Consumer Valuation of Driving Range: A Meta-Analysis," Tinbergen Institute Discussion Papers 11-133/3, Tinbergen Institute.
    8. Cantillo, Víctor & Amaya, Johanna & Serrano, Iván & Cantillo-García, Víctor & Galván, Janer, 2022. "Influencing factors of trucking companies willingness to shift to alternative fuel vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    9. Jiali Yu & Peng Yang & Kai Zhang & Faping Wang & Lixin Miao, 2018. "Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
    10. Kluschke, Philipp & Uebel, Maren & Wietschel, Martin, 2019. "Alternative powertrains in road-bound heavyduty transport: a quantitative determination of user requirements for heavy-duty vehicles and their infrastructure," Working Papers "Sustainability and Innovation" S05/2019, Fraunhofer Institute for Systems and Innovation Research (ISI).
    11. Seitz, Claudio S. & Beuttenmüller, Oliver & Terzidis, Orestis, 2015. "Organizational adoption behavior of CO2-saving power train technologies: An empirical study on the German heavy-duty vehicles market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 247-262.
    12. Kluschke, Philipp & Uebel, Maren & Wietschel, Martin, 2019. "Alternative Antriebe im straßengebundenen Schwerlastverkehr: Eine quantitative Ermittlung der Nutzeranforderungen an schwere Lkw und deren Infrastruktur [Alternative powertrains in road-bound heavy," Working Papers "Sustainability and Innovation" S05/2019, Fraunhofer Institute for Systems and Innovation Research (ISI).
    13. Brand, Christian & Anable, Jillian & Tran, Martino, 2013. "Accelerating the transformation to a low carbon passenger transport system: The role of car purchase taxes, feebates, road taxes and scrappage incentives in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 132-148.
    14. Kuby, Michael, 2019. "The opposite of ubiquitous: How early adopters of fast-filling alt-fuel vehicles adapt to the sparsity of stations," Journal of Transport Geography, Elsevier, vol. 75(C), pages 46-57.
    15. Becky Loo & S. Wong & Timothy Hau, 2006. "Introducing alternative fuel vehicles in Hong Kong: views from the public light bus industry," Transportation, Springer, vol. 33(6), pages 605-619, November.
    16. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    17. Wu, Libo & Li, Changhe & Qian, Haoqi & Zhang, ZhongXiang, 2013. "Understanding the Consumption Behaviors on Electric Vehicles in China - A Stated Preference Analysis," Climate Change and Sustainable Development 158729, Fondazione Eni Enrico Mattei (FEEM).
    18. Gnann, Till & Plötz, Patrick & Funke, Simon & Wietschel, Martin, 2014. "What is the market potential of electric vehicles as commercial passenger cars? A case study from Germany," Working Papers "Sustainability and Innovation" S14/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
    19. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    20. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert, 2016. "Comparing high-end and low-end early adopters of battery electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 40-57.
    21. Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.
    22. Konstantinou, Theodora & Gkritza, Konstantina, 2023. "Are we getting close to truck electrification? U.S. truck fleet managers’ stated intentions to electrify their fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    23. 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.
    24. Kelley, Scott & Kuby, Michael, 2017. "Decentralized refueling of compressed natural gas (CNG) fleet vehicles in Southern California," Energy Policy, Elsevier, vol. 109(C), pages 350-359.
    25. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.

  17. Brownstone, David & Bunch, David S. & Golob, Thomas F. & Ren, Weiping, 1996. "A Transaction Choice Model for Forecasting Demand for Alternative-Fuel Vehicles," University of California Transportation Center, Working Papers qt0244r8g2, University of California Transportation Center.

    Cited by:

    1. Zhang, Anpeng & Kang, Jee Eun & Kwon, Changhyun, 2017. "Incorporating demand dynamics in multi-period capacitated fast-charging location planning for electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 5-29.
    2. Oliveira, Gabriela D. & Roth, Richard & Dias, Luis C., 2019. "Diffusion of alternative fuel vehicles considering dynamic preferences," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 83-99.
    3. Greene, David & Hossain, Anushah & Hofmann, Julia & Helfand, Gloria & Beach, Robert, 2018. "Consumer willingness to pay for vehicle attributes: What do we Know?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 258-279.
    4. Teisl, Mario F. & Rubin, Jonathan & Noblet, Caroline L., 2008. "Non-dirty dancing? Interactions between eco-labels and consumers," Journal of Economic Psychology, Elsevier, vol. 29(2), pages 140-159, April.
    5. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    6. Aurélie Glerum & Lidija Stankovikj & Michaël Thémans & Michel Bierlaire, 2014. "Forecasting the Demand for Electric Vehicles: Accounting for Attitudes and Perceptions," Transportation Science, INFORMS, vol. 48(4), pages 483-499, November.
    7. Bhat, Chandra R. & Castelar, Saul, 2002. "A unified mixed logit framework for modeling revealed and stated preferences: formulation and application to congestion pricing analysis in the San Francisco Bay area," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 593-616, August.
    8. Zhang, Yong & Yu, Yifeng & Zou, Bai, 2011. "Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV," Energy Policy, Elsevier, vol. 39(11), pages 7015-7024.
    9. Don Fullerton & Li Gan & Miwa Hattori, 2015. "A model to evaluate vehicle emission incentive policies in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 79-108, January.
    10. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    11. Eggert, Håkan & Kataria, Mitesh & Lampi, Elina, 2018. "Difference in Preferences or Multiple Preference Orderings? Comparing Choices of Environmental Bureaucrats, Recreational Anglers, and the Public," Ecological Economics, Elsevier, vol. 151(C), pages 131-141.
    12. Achtnicht, Martin & Bühler, Georg & Hermeling, Claudia, 2008. "Impact of Service Station Networks on Purchase Decisions of Alternative-fuel Vehicles," ZEW Discussion Papers 08-088, ZEW - Leibniz Centre for European Economic Research.
    13. Brownston, David & Bunch, David S. & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Department of Economics, Working Paper Series qt7rf7s3nx, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    14. Golob, Thomas F. & Gould, Jane, 1998. "Projecting use of electric vehicles from household vehicle trials," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 441-454, September.
    15. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert & Turrentine, Thomas, 2017. "Barriers to the adoption of fuel cell vehicles: A qualitative investigation into early adopters attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 166-182.
    16. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Environmental attitudes and emissions charging: An example of policy implications for vehicle choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 171-182.
    17. Achtnicht, Martin, 2009. "German car buyers' willingness to pay to reduce CO2 emissions," ZEW Discussion Papers 09-058, ZEW - Leibniz Centre for European Economic Research.
    18. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
    19. Alexandros Dimitropoulos & Piet Rietveld & Jos N. van Ommeren, 2011. "Consumer Valuation of Driving Range: A Meta-Analysis," Tinbergen Institute Discussion Papers 11-133/3, Tinbergen Institute.
    20. Doremus, Jacqueline & Helfand, Gloria & Liu, Changzheng & Donahue, Marie & Kahan, Ari & Shelby, Michael, 2019. "Simpler is better: Predicting consumer vehicle purchases in the short run," Energy Policy, Elsevier, vol. 129(C), pages 1404-1415.
    21. Harrison, Gillian & Thiel, Christian, 2017. "An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 165-178.
    22. Whitehead, Jake & Franklin, Joel P. & Washington, Simon, 2014. "The impact of a congestion pricing exemption on the demand for new energy efficient vehicles in Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 24-40.
    23. Eggert, Håkan & Kataria, Mitesh & Lampi, Elina, 2016. "Difference in Preferences or in Preference Orderings? Comparing Choices of Environmental Bureaucrats, Recreational Anglers, and the Public," Working Papers in Economics 669, University of Gothenburg, Department of Economics.
    24. Domarchi, Cristian & Cherchi, Elisabetta, 2024. "Role of car segment and fuel type in the choice of alternative fuel vehicles: A cross-nested logit model for the English market," Applied Energy, Elsevier, vol. 357(C).
    25. Matthew J. Beck & John M. Rose & Stephen P. Greaves, 2017. "I can’t believe your attitude: a joint estimation of best worst attitudes and electric vehicle choice," Transportation, Springer, vol. 44(4), pages 753-772, July.
    26. Kiran Tomlinson & Johan Ugander & Austin R. Benson, 2021. "Choice Set Confounding in Discrete Choice," Papers 2105.07959, arXiv.org, revised Aug 2021.
    27. Nobuyuki Ito & Kenji Takeuchi & Shunsuke Managi, 2012. "Willingness to pay for the infrastructure investments for alternative fuel vehicles," Discussion Papers 1207, Graduate School of Economics, Kobe University.
    28. Richard T. Carson & Derrick H. Sun & Yixiao Sun, 2024. "Random Utility Models with Skewed Random Components: the Smallest versus Largest Extreme Value Distribution," Papers 2405.08222, arXiv.org, revised May 2024.
    29. Hensher, David A., 2008. "Empirical approaches to combining revealed and stated preference data: Some recent developments with reference to urban mode choice," Research in Transportation Economics, Elsevier, vol. 23(1), pages 23-29, January.
    30. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.
    31. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    32. Lee, Jongsu & Cho, Youngsang, 2009. "Demand forecasting of diesel passenger car considering consumer preference and government regulation in South Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 420-429, May.
    33. Wu, Tian & Shang, Zhe & Tian, Xin & Wang, Shouyang, 2016. "How hyperbolic discounting preference affects Chinese consumers’ consumption choice between conventional and electric vehicles," Energy Policy, Elsevier, vol. 97(C), pages 400-413.
    34. Chen, T. Donna & Wang, Yiyi & Kockelman, Kara M., 2015. "Where are the electric vehicles? A spatial model for vehicle-choice count data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 181-188.
    35. Ye Feng & Don Fullerton & Li Gan, 2005. "Vehicle Choices, Miles Driven, and Pollution Policies," NBER Working Papers 11553, National Bureau of Economic Research, Inc.
    36. Yip, Arthur H.C. & Michalek, Jeremy J. & Whitefoot, Kate S., 2018. "On the implications of using composite vehicles in choice model prediction," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 163-188.
    37. Dagsvik, John K. & Wennemo, Tom & Wetterwald, Dag G. & Aaberge, Rolf, 2002. "Potential demand for alternative fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 36(4), pages 361-384, May.
    38. Hensher, David A. & Rose, John M. & Greene, William H., 2008. "Combining RP and SP data: biases in using the nested logit ‘trick’ – contrasts with flexible mixed logit incorporating panel and scale effects," Journal of Transport Geography, Elsevier, vol. 16(2), pages 126-133.
    39. Wu, Libo & Li, Changhe & Qian, Haoqi & Zhang, ZhongXiang, 2013. "Understanding the Consumption Behaviors on Electric Vehicles in China - A Stated Preference Analysis," Climate Change and Sustainable Development 158729, Fondazione Eni Enrico Mattei (FEEM).
    40. Daziano, Ricardo A. & Achtnicht, Martin, 2012. "Forecasting adoption of ultra-low-emission vehicles using the GHK simulator and Bayes estimates of a multinomial probit model," ZEW Discussion Papers 12-017, ZEW - Leibniz Centre for European Economic Research.
    41. 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).
    42. Smith, Martin D., 2005. "State dependence and heterogeneity in fishing location choice," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 319-340, September.
    43. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    44. Gabriela D. Oliveira & Luis C. Dias, 2019. "Influence of Demographics on Consumer Preferences for Alternative Fuel Vehicles: A Review of Choice Modelling Studies and a Study in Portugal," Energies, MDPI, vol. 12(2), pages 1-33, January.
    45. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    46. Malte Schwoon, 2006. "Simulating the adoption of fuel cell vehicles," Journal of Evolutionary Economics, Springer, vol. 16(4), pages 435-472, October.
    47. Rasti-Barzoki, Morteza & Moon, Ilkyeong, 2020. "A game theoretic approach for car pricing and its energy efficiency level versus governmental sustainability goals by considering rebound effect: A case study of South Korea," Applied Energy, Elsevier, vol. 271(C).
    48. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    49. Chen Wang & Ricardo Daziano, 2015. "On the problem of measuring discount rates in intertemporal transportation choices," Transportation, Springer, vol. 42(6), pages 1019-1038, November.
    50. Whitehead, Jake & Franklin, Joel P. & Washington, Simon, 2015. "Transitioning to energy efficient vehicles: An analysis of the potential rebound effects and subsequent impact upon emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 250-267.
    51. Fatemeh Nazari & Abolfazl Mohammadian, 2023. "Exploring the Role of Perceived Range Anxiety in Adoption Behavior of Plug-in Electric Vehicles," Papers 2308.10313, arXiv.org, revised Apr 2025.
    52. Achtnicht, Martin, 2011. "Do environmental benefits matter? Evidence from a choice experiment among house owners in Germany," Ecological Economics, Elsevier, vol. 70(11), pages 2191-2200, September.
    53. Yetano Roche, María & Mourato, Susana & Fischedick, Manfred & Pietzner, Katja & Viebahn, Peter, 2010. "Public attitudes towards and demand for hydrogen and fuel cell vehicles: A review of the evidence and methodological implications," Energy Policy, Elsevier, vol. 38(10), pages 5301-5310, October.
    54. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.

  18. Bunch, David S & Brownstone, David & Golob, Thomas F, 1995. "A Dynamic Forecasting System for Vehicle Markets with Clean-Fuel Vehicles," University of California Transportation Center, Working Papers qt0xs9c8p6, University of California Transportation Center.

    Cited by:

    1. Kurani, Kenneth S. & Turrentine, Thomas & Sperling, Daniel, 2001. "Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey," University of California Transportation Center, Working Papers qt0xf006kd, University of California Transportation Center.
    2. Hoen, Anco & Koetse, Mark J., 2014. "A choice experiment on alternative fuel vehicle preferences of private car owners in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 199-215.
    3. Yamamoto, Toshiyuki & Kitamura, Ryuichi, 2000. "An analysis of household vehicle holding durations considering intended holding durations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 339-351, June.

  19. Brownstone, D. & Kazimi, C., 1995. "Competing Risk Hazard Models for Demographic Transitions," Papers 94-95-26, California Irvine - School of Social Sciences.

    Cited by:

    1. Bunch, David S & Brownstone, David & Golob, Thomas F, 1995. "A Dynamic Forecasting System for Vehicle Markets with Clean-Fuel Vehicles," University of California Transportation Center, Working Papers qt0xs9c8p6, University of California Transportation Center.

  20. Kazimi, C. & Brownstone, D., 1994. "Bootstrap Confidence Bands for Shrinkage Estimators," Papers 94-95-5, California Irvine - School of Social Sciences.

    Cited by:

    1. Breusch, Trevor & Ward, Michael B & Nguyen, Hoa & Kompas, Tom, 2010. "On the fixed-effects vector decomposition," MPRA Paper 21452, University Library of Munich, Germany.
    2. David L. Weimer, 2015. "The Thin Reed: Accommodating Weak Evidence for Critical Parameters in Cost‐Benefit Analysis," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 1101-1113, June.
    3. Wu, Jyh-Lin & Lee, Chingnun & Wang, Tzu-Wei, 2011. "A re-examination on dissecting the purchasing power parity puzzle," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 572-586, April.
    4. Akio Namba, 2021. "Bootstrapping the Stein-Rule Estimators," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 219-237, December.
    5. Agostino Consolo, 2006. "Forecasting measures of inflation for the Estonian economy," Bank of Estonia Working Papers 2006-03, Bank of Estonia, revised 12 Nov 2006.
    6. Ejaz Ahmed, S. & Fallahpour, Saber, 2012. "Shrinkage estimation strategy in quasi-likelihood models," Statistics & Probability Letters, Elsevier, vol. 82(12), pages 2170-2179.
    7. Ahmed, S. Ejaz & Nicol, Christopher J., 2012. "An application of shrinkage estimation to the nonlinear regression model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3309-3321.

  21. Brownstone, David & Bunch, David S. & Golob, Thomas F., 1994. "A Demand Forecasting System for Clean-Fuel Vehicles," University of California Transportation Center, Working Papers qt79c3g7xv, University of California Transportation Center.

    Cited by:

    1. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    2. Golob, Thomas F. & Kim, Seyoung & Ren, Weiping, 1996. "How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model," University of California Transportation Center, Working Papers qt6xx6j51x, University of California Transportation Center.
    3. Golob, Thomas F. & Kim, Seyoung & Ren, Weiping, 1994. "A Structural Model of Vehicle Use in Two-Vehicle Households," University of California Transportation Center, Working Papers qt9wp6c79q, University of California Transportation Center.
    4. Golob, Thomas F & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soheila Soltani & Bunch, David S, 1996. "Commercial Fleet Demand for Alternative-Fuel Vehicles in California," University of California Transportation Center, Working Papers qt5qw4s22v, University of California Transportation Center.
    5. Bastani, Parisa & Heywood, John B. & Hope, Chris, 2012. "The effect of uncertainty on US transport-related GHG emissions and fuel consumption out to 2050," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 517-548.
    6. Habibi, Shiva & Sundberg, Marcus & Karlström, Anders, 2013. "An empirical study of predicting car type choice in Sweden using cross-validation and feature-selection," Working papers in Transport Economics 2013:13, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 23 Apr 2014.
    7. Mallikarjun Patil & Bandhan Bandhu Majumdar & Prasanta Kumar Sahu & Long T. Truong, 2021. "Evaluation of Prospective Users’ Choice Decision toward Electric Two-Wheelers Using a Stated Preference Survey: An Indian Perspective," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    8. Susanne Linder, 2011. "Spatial diffusion of electric vehicles in the German metropolitan region of Stuttgart," ERSA conference papers ersa11p557, European Regional Science Association.
    9. Golob, Thomas F. & Kim, Seyoung & Ren, Weiping, 1996. "How households use different types of vehicles: A structural driver allocation and usage model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(2), pages 103-118, March.

  22. Brownstone, David & Golob, Thomas F., 1992. "The Effectiveness of Ridesharing Incentives: Discrete-choice Models of Commuting in Southern California," University of California Transportation Center, Working Papers qt0w0518qd, University of California Transportation Center.

    Cited by:

    1. Xiaolei Wang & Hai Yang & Daoli Zhu, 2018. "Driver-Rider Cost-Sharing Strategies and Equilibria in a Ridesharing Program," Transportation Science, INFORMS, vol. 52(4), pages 868-881, August.
    2. Marlon G. Boarnet & Sharon Sarmiento, 1998. "Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1155-1169, June.
    3. Small, K.A. & Yan, J., 1999. "The Value of "Value Princing" of Roads: Second-Best Pricing and Product Differentiation," Papers 99-00-02, California Irvine - School of Social Sciences.
    4. Evelyn Blumenberg & Michael Smart, 2010. "Getting by with a little help from my friends…and family: immigrants and carpooling," Transportation, Springer, vol. 37(3), pages 429-446, May.
    5. Jun Guan Neoh & Maxwell Chipulu & Alasdair Marshall, 2017. "What encourages people to carpool? An evaluation of factors with meta-analysis," Transportation, Springer, vol. 44(2), pages 423-447, March.
    6. Zixuan Peng & Wenxuan Shan & Peng Jia & Bin Yu & Yonglei Jiang & Baozhen Yao, 2020. "Stable ride-sharing matching for the commuters with payment design," Transportation, Springer, vol. 47(1), pages 1-21, February.
    7. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
    8. Wu, Jiyan & Tian, Ye & Sun, Jian, 2023. "Managing ridesharing with incentives in a bottleneck model," Research in Transportation Economics, Elsevier, vol. 101(C).
    9. Brown, Anne E., 2020. "Who and where rideshares? Rideshare travel and use in Los Angeles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 120-134.
    10. Ma, Rui & Zhang, H.M., 2017. "The morning commute problem with ridesharing and dynamic parking charges," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 345-374.
    11. Uhlaner, Carole J. & Kim, Seyoung, 1993. "Designing and Implementing a Panel Study of Commuter Behavior: Lessons for Future Research," University of California Transportation Center, Working Papers qt3h0721g6, University of California Transportation Center.
    12. Drusilla van Hengel & Joseph DiMento & Sherry Ryan, 1999. "Equal Access? Travel Behaviour Change in the Century Freeway Corridor, Los Angeles," Urban Studies, Urban Studies Journal Limited, vol. 36(3), pages 547-562, March.
    13. Kim, Seyoung, 1994. "Gender Differences in Commuting: An Empirical Study of the Greater Los Angeles Metropolitan Area," University of California Transportation Center, Working Papers qt2n60d857, University of California Transportation Center.
    14. Kim, Seyoung, 1993. "After the Resolution: Excess Commuting for Two-Worker Households in the Los Angeles Metropolitan Area," University of California Transportation Center, Working Papers qt2km7f60d, University of California Transportation Center.
    15. Haoran Chen & Xuedong Yan & Xiaobing Liu & Tao Ma, 2023. "Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data," Transportation, Springer, vol. 50(5), pages 1923-1958, October.
    16. Sunghi An & Daisik Nam & R. Jayakrishnan & Soongbong Lee & Michael G. McNally, 2021. "A Study of the Factors Affecting Multimodal Ridesharing with Choice-Based Conjoint Analysis," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    17. Lambe, Thomas A., 1996. "Driver choice of parking in the city," Socio-Economic Planning Sciences, Elsevier, vol. 30(3), pages 207-219, September.
    18. Pédussel Wu, Jennifer, 2004. "Measuring and explaining levels of regional economic integration," ZEI Working Papers B 12-2004, University of Bonn, ZEI - Center for European Integration Studies.
    19. Rezwana Rafiq & Suman Kumar Mitra, 2020. "Shared school transportation: determinants of carpooling as children’s school travel mode in California," Transportation, Springer, vol. 47(3), pages 1339-1357, June.
    20. Correia, Gonçalo & Viegas, José Manuel, 2011. "Carpooling and carpool clubs: Clarifying concepts and assessing value enhancement possibilities through a Stated Preference web survey in Lisbon, Portugal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 81-90, February.
    21. Anfeng Xu & Jiming Chen & Zihui Liu, 2021. "Exploring the Effects of Carpooling on Travelers’ Behavior during the COVID-19 Pandemic: A Case Study of Metropolitan City," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    22. Boarnet, Marlon & Crane, Randall, 2001. "The influence of land use on travel behavior: specification and estimation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 823-845, November.
    23. Xiao, Lin & Wu, Jiyan & Sun, Jian & Tian, Ye, 2024. "Money is power: Carpooling stimulus with evidence from an interactive long-term laboratory experiment," Transport Policy, Elsevier, vol. 152(C), pages 55-70.
    24. Rui Mu & Martin De Jong, 2018. "A Tale of Two Chinese Transit Metropolises and the Implementation of Their Policies: Shenyang and Dalian (Liaoning Province, China)," Energies, MDPI, vol. 11(3), pages 1-18, February.
    25. Khordagui, Nagwa, 2019. "Parking prices and the decision to drive to work: Evidence from California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 479-495.
    26. Daisik Nam & Jaewoo Cho, 2020. "Deep Neural Network Design for Modeling Individual-Level Travel Mode Choice Behavior," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    27. Shoval, Noam & Kahani, Alon & De Cantis, Stefano & Ferrante, Mauro, 2020. "Impact of incentives on tourist activity in space-time," Annals of Tourism Research, Elsevier, vol. 80(C).

  23. Brownstone, David, 1991. "Multiple Imputations for Linear Regression Models," University of California Transportation Center, Working Papers qt5rv0265r, University of California Transportation Center.

    Cited by:

    1. Kaestner, Robert & Joyce, Theodore & Wehbeh, Hassan, 1996. "The Effect of Maternal Drug Use on Birth Weight: Measurement Error in Binary Variables," Economic Inquiry, Western Economic Association International, vol. 34(4), pages 617-629, October.
    2. Brownstone, David & Velletta, Robert G., 1996. "Modeling Earnings Measurement Error: A Multiple Imputation Approach," University of California Transportation Center, Working Papers qt2t08s22q, University of California Transportation Center.
    3. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
    4. Artés, Joaquín, 2009. "Long-run versus short-run decisions: R&D and market structure in Spanish firms," Research Policy, Elsevier, vol. 38(1), pages 120-132, February.
    5. Guevara, C. Angelo & Tang, Yue & Gao, Song, 2018. "The initial condition problem with complete history dependency in learning models for travel choices," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 850-861.

  24. Brownstone, D. & Englund, P., 1989. "The Demand Of Housing In Sweden.: Equilibrium Choice Of Tenure And Type Of Dwelling," Papers 1989h, Uppsala - Working Paper Series.

    Cited by:

    1. Isaac F. Megbolugbe & Peter D. Linneman, 1993. "Home Ownership," Urban Studies, Urban Studies Journal Limited, vol. 30(4-5), pages 659-682, May.
    2. Carter, Steven, 2011. "Housing tenure choice and the dual income household," Journal of Housing Economics, Elsevier, vol. 20(3), pages 159-170, September.
    3. Mikaela Backman, 2014. "Returns to Education across the Urban-Rural Hierarchy," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 33-59, Spring.
    4. Miki Seko & Kazuto Sumita, 2007. "Japanese Housing Tenure Choice and Welfare Implications after the Revision of the Tenant Protection Law," The Journal of Real Estate Finance and Economics, Springer, vol. 35(3), pages 357-383, October.
    5. Peter Englund, 2003. "Taxing Residential Housing Capital," Urban Studies, Urban Studies Journal Limited, vol. 40(5-6), pages 937-952, May.
    6. Seppo Laakso & Heikki A. Loikkanen, 1995. "Finnish Homes—Through Passages or Traps?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(4), pages 475-495, December.
    7. Hansson Brusewitz, Urban, 1998. "Self-Selectivity and Kinked Budget Constraints: The Demand for Housing in Sweden," Journal of Housing Economics, Elsevier, vol. 7(3), pages 243-273, September.
    8. Nuzhat Ahmad, 1994. "A Joint Model of Tenure Choice and Demand for Housing in the City of Karachi," Urban Studies, Urban Studies Journal Limited, vol. 31(10), pages 1691-1706, December.
    9. Amanda Littlewood & Moira Munro, 1997. "Moving and Improving: Strategies for Attaining Housing Equilibrium," Urban Studies, Urban Studies Journal Limited, vol. 34(11), pages 1771-1787, November.

Articles

  1. Chakraborty, Debapriya & Bunch, David S. & Brownstone, David & Xu, Bingzheng & Tal, Gil, 2022. "Plug-in electric vehicle diffusion in California: Role of exposure to new technology at home and work," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 133-151.
    See citations under working paper version above.
  2. Wong, Timothy & Brownstone, David & Bunch, David S., 2019. "Aggregation biases in discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 210-221.

    Cited by:

    1. Lee, Ungki & Kang, Namwoo & Lee, Ikjin, 2020. "Choice data generation using usage scenarios and discounted cash flow analysis," Journal of choice modelling, Elsevier, vol. 37(C).
    2. Sheldon, Tamara L. & Dua, Rubal, 2024. "The dynamic role of subsidies in promoting global electric vehicle sales," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    3. Brownstone, David & Li, Phillip, 2018. "A model for broad choice data," Journal of choice modelling, Elsevier, vol. 27(C), pages 19-36.
    4. 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.
    5. Villarraga, Daniel F. & Daziano, Ricardo A., 2025. "Hierarchical Nearest Neighbor Gaussian Process models for discrete choice: Mode choice in New York City," Transportation Research Part B: Methodological, Elsevier, vol. 191(C).
    6. O. Lunyakov V. & N. Lunyakova A. & О. Луняков В. & Н. Лунякова А., 2018. "Развитие каналов кредитования в условиях перехода к цифровой экономике: моделирование спроса // The Development of Credit Channels in the transition to the Digital Economy: Demand Modelling," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(5), pages 76-89.

  3. Brownstone, David & Li, Phillip, 2018. "A model for broad choice data," Journal of choice modelling, Elsevier, vol. 27(C), pages 19-36.

    Cited by:

    1. Domarchi, Cristian & Cherchi, Elisabetta, 2024. "Role of car segment and fuel type in the choice of alternative fuel vehicles: A cross-nested logit model for the English market," Applied Energy, Elsevier, vol. 357(C).
    2. Lloro, Alicia & Brownstone, David, 2018. "Vehicle choice and utilization: Improving estimation with partially observed choices and hybrid pairs," Journal of choice modelling, Elsevier, vol. 28(C), pages 137-152.

  4. Lloro, Alicia & Brownstone, David, 2018. "Vehicle choice and utilization: Improving estimation with partially observed choices and hybrid pairs," Journal of choice modelling, Elsevier, vol. 28(C), pages 137-152.

    Cited by:

    1. Chakraborty, Debapriya & Bunch , David S. & Brownstone, David, 2023. "Role of Vehicle Technology on Use: Joint analysis of the choice of Plug-in Electric Vehicle ownership and miles traveled," Institute of Transportation Studies, Working Paper Series qt3jj3v7pw, Institute of Transportation Studies, UC Davis.
    2. Tal, Gil & Karanam, Vaishnavi Chaitanya & Favetti, Matthew P. & Sutton, Katrina May & Ogunmayin, Jade Motayo & Raghavan, Seshadri Srinivasa & Nitta, Christopher & Chakraborty, Debapriya & Davis, Adam , 2021. "Emerging Technology Zero Emission Vehicle Household Travel and Refueling Behavior," Institute of Transportation Studies, Working Paper Series qt2v0853tp, Institute of Transportation Studies, UC Davis.
    3. Vásquez-Lavín, Felipe & Carrasco, Moisés & Barrientos, Manuel & Gelcich, Stefan & Ponce Oliva, Roberto D., 2021. "Estimating discount rates for environmental goods: Are People’s responses inadequate to frequency of payments?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).

  5. Brownstone, David & Fang, Hao (Audrey), 2014. "A vehicle ownership and utilization choice model with endogenous residential density," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 135-151.
    See citations under working paper version above.
  6. Kim, Jinwon & Brownstone, David, 2013. "The impact of residential density on vehicle usage and fuel consumption: Evidence from national samples," Energy Economics, Elsevier, vol. 40(C), pages 196-206.
    See citations under working paper version above.
  7. Brownstone, David & Golob, Thomas F., 2009. "The impact of residential density on vehicle usage and energy consumption," Journal of Urban Economics, Elsevier, vol. 65(1), pages 91-98, January.

    Cited by:

    1. Chen, Yuangong & Chen, Wenli & Gong, Jianzhou & Yuan, Haiwei, 2023. "Uncommonly known change characteristics of land use pattern in Guangdong Province–Hong Kong–Macao, China: Space time pattern, terrain gradient effects and policy implication," Land Use Policy, Elsevier, vol. 125(C).
    2. Carl Gaigné & Stéphane Riou & Jacques-François Thisse, 2012. "Are compact cities environmentally friendly?," Post-Print hal-01208810, HAL.
    3. Akihiro Otsuka, 2018. "Population Agglomeration and Residential Energy Consumption: Evidence from Japan," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    4. Liang Guo & Shuo Yang & Qinghao Zhang & Leyu Zhou & Hui He, 2023. "Examining the Nonlinear and Synergistic Effects of Multidimensional Elements on Commuting Carbon Emissions: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 20(2), pages 1-28, January.
    5. Rainald Borck & Philipp Schrauth, 2022. "Urban pollution: A global perspective," CEPA Discussion Papers 60, Center for Economic Policy Analysis.
    6. Larson, William & Yezer, Anthony, 2015. "The energy implications of city size and density," Journal of Urban Economics, Elsevier, vol. 90(C), pages 35-49.
    7. LE BOENNEC, Rémy & SARI, Florent, 2015. "Nouvelles centralités, choix modal et politiques de déplacements : le cas nantais," MPRA Paper 109261, University Library of Munich, Germany.
    8. Jussila Hammes , Johanna & Pyddoke , Roger & Swärdh, Jan-Erik, 2016. "The influence of public transport supply on private car use in 17 mid-sized Swedish cities from 1997 to 2011," Working papers in Transport Economics 2016:25, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    9. Proque, Andressa Lemes & dos Santos, Gervásio Ferreira & Betarelli Junior, Admir Antonio & Larson, William D., 2020. "Effects of land use and transportation policies on the spatial distribution of urban energy consumption in Brazil," Energy Economics, Elsevier, vol. 90(C).
    10. Brownstone, David & Fang, Hao Audrey, 2010. "A Vehicle Ownership and Utilization Choice Model with Edogenous Residential Density," University of California Transportation Center, Working Papers qt2hc4h6h5, University of California Transportation Center.
    11. Kailai Wang & Xize Wang, 2022. "Generational Differences in Automobility: Comparing America's Millennials and Gen Xers Using Gradient Boosting Decision Trees," Papers 2206.11056, arXiv.org.
    12. Kaza, Nikhil, 2020. "Urban form and transportation energy consumption," Energy Policy, Elsevier, vol. 136(C).
    13. Wang, Xize, 2019. "Has the relationship between urban and suburban automobile travel changed across generations? Comparing Millennials and Generation Xers in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 107-122.
    14. Douglas Houston & Marlon G Boarnet & Gavin Ferguson & Steven Spears, 2015. "Can compact rail transit corridors transform the automobile city? Planning for more sustainable travel in Los Angeles," Urban Studies, Urban Studies Journal Limited, vol. 52(5), pages 938-959, April.
    15. Tomasz Rokicki & Grzegorz Koszela & Luiza Ochnio & Kamil Wojtczuk & Marcin Ratajczak & Hubert Szczepaniuk & Konrad Michalski & Piotr Bórawski & Aneta Bełdycka-Bórawska, 2021. "Diversity and Changes in Energy Consumption by Transport in EU Countries," Energies, MDPI, vol. 14(17), pages 1-21, August.
    16. Yahui Guang & Yongbin Huang, 2022. "Urban Form and Household Energy Consumption: Evidence from China Panel Data," Land, MDPI, vol. 11(8), pages 1-15, August.
    17. Sun, Shanxia & Delgado, Michael S. & Khanna, Neha, 2019. "Hybrid vehicles, social signals and household driving: Implications for miles traveled and gasoline consumption," Energy Economics, Elsevier, vol. 84(C).
    18. Lorea Mendiola & Pilar González, 2021. "Urban Development and Sustainable Mobility: A Spatial Analysis in the Buenos Aires Metropolitan Area," Land, MDPI, vol. 10(2), pages 1-23, February.
    19. Proost, Stef & Van Dender, Kurt, 2012. "Energy and environment challenges in the transport sector," Economics of Transportation, Elsevier, vol. 1(1), pages 77-87.
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    144. Kesen Zhang & Zhen Pan & Mukund Janardhanan & Imran Patel, 2023. "Relationship analysis between greenwashing and environmental performance," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7927-7957, August.
    145. Herman L. Boschken, 2013. "Global Cities Are Coastal Cities Too: Paradox in Sustainability?," Urban Studies, Urban Studies Journal Limited, vol. 50(9), pages 1760-1778, July.
    146. Devajyoti Deka, 2014. "The Living, Moving and Travel Behaviour of the Growing American Solo: Implications for Cities," Urban Studies, Urban Studies Journal Limited, vol. 51(4), pages 634-654, March.
    147. Dillon, Harya S. & Saphores, Jean-Daniel & Boarnet, Marlon G., 2015. "The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey," Research in Transportation Economics, Elsevier, vol. 52(C), pages 23-33.
    148. Chen, Xu & Chen, Xueli & Song, Malin, 2021. "Polycentric agglomeration, market integration and green economic efficiency," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 185-197.
    149. Akihiro Otsuka & Mika Goto, 2018. "Regional determinants of energy intensity in Japan: the impact of population density," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 257-278, August.
    150. Sun, Shan & Guo, Liang & Yang, Shuo & Cao, Jason, 2024. "Exploring the contributions of Ebike ownership, transit access, and the built environment to car ownership in a developing city," Journal of Transport Geography, Elsevier, vol. 116(C).
    151. Wang, Xize, 2019. "Has the Relationship between Urban and Suburban Automobile Travel Changed across Generations? Comparing Millennials and Generation Xers in the United States," SocArXiv 2y5vj, Center for Open Science.
    152. Wang, Haizhong & Palm, Matthew & Chen, Chen & Vogt, Rachel & Wang, Yiyi, 2016. "Does bicycle network level of traffic stress (LTS) explain bicycle travel behavior? Mixed results from an Oregon case study," Journal of Transport Geography, Elsevier, vol. 57(C), pages 8-18.
    153. Shoki Kosai & Muku Yuasa & Eiji Yamasue, 2020. "Chronological Transition of Relationship between Intracity Lifecycle Transport Energy Efficiency and Population Density," Energies, MDPI, vol. 13(8), pages 1-15, April.
    154. Holian, Matthew J. & Kahn, Matthew E., 2015. "Household carbon emissions from driving and center city quality of life," Ecological Economics, Elsevier, vol. 116(C), pages 362-368.
    155. Chang, Yu Sang & Lee, Yong Joo & Choi, Sung Sup Brian, 2017. "Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest U.S. urban centers-," Transport Policy, Elsevier, vol. 59(C), pages 54-63.
    156. Jinhyun Hong & Qing Shen & Lei Zhang, 2014. "How do built-environment factors affect travel behavior? A spatial analysis at different geographic scales," Transportation, Springer, vol. 41(3), pages 419-440, May.
    157. Cao, Xinyu (Jason) & Xu, Zhiyi & Fan, Yingling, 2010. "Exploring the connections among residential location, self-selection, and driving: Propensity score matching with multiple treatments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 797-805, December.
    158. Christopher Hoehne & Matteo Muratori & Paige Jadun & Brian Bush & Arthur Yip & Catherine Ledna & Laura Vimmerstedt & Kara Podkaminer & Ookie Ma, 2023. "Exploring decarbonization pathways for USA passenger and freight mobility," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    159. Blanco, Hilda & Wikstrom, Alexander, 2018. "Transit-Oriented Development Opportunities Among Failing Malls," Institute of Transportation Studies, Working Paper Series qt3h62q04h, Institute of Transportation Studies, UC Davis.
    160. Yunita & Muhammad Halley Yudhistira & Yusuf Reza Kurniawan, 2024. "Does a sprawling neighborhood affect obesity? Evidence from Indonesia," International Journal of Health Economics and Management, Springer, vol. 24(2), pages 231-256, June.
    161. Melia, Steve & Parkhurst, Graham & Barton, Hugh, 2011. "The paradox of intensification," Transport Policy, Elsevier, vol. 18(1), pages 46-52, January.

  8. Andre Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, uncertainty and discrete choice models," Marketing Letters, Springer, vol. 19(3), pages 269-285, December.
    • André de Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, Uncertainty and Discrete Choice Models," THEMA Working Papers 2008-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    See citations under working paper version above.
  9. Steimetz, Seiji S.C. & Brownstone, David, 2005. "Estimating commuters' "value of time" with noisy data: a multiple imputation approach," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 865-889, December.
    See citations under working paper version above.
  10. Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.

    Cited by:

    1. André de Palma & Nathalie Picard & Paul Waddell, 2007. "Discrete choice models with capacity constraints: an empirical analysis of the housing market of the greater Paris region," THEMA Working Papers 2007-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    2. Smirnov, Oleg A. & Egan, Kevin J., 2012. "Spatial random utility model with an application to recreation demand," Economic Modelling, Elsevier, vol. 29(1), pages 72-78.
    3. Paleti, Rajesh & Faghih Imani, Ahmadreza & Eluru, Naveen & Hu, Hsi-Hwa & Huang, Guoxiong, 2017. "An integrated model of intensity of activity opportunities on supply side and tour destination & departure time choices on demand side," Journal of choice modelling, Elsevier, vol. 24(C), pages 63-74.
    4. Kaye-Blake, William & Abell, Walter L. & Zellman, Eva, 2009. "Respondents’ ignoring of attribute information in a choice modelling survey," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-18.
    5. Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
    6. Vasquez Lavin, Felipe & Hanemann, W. Michael, 2008. "Taste Indicators and Heterogeneous Revealed Preferences for Congestion in Recreation Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4rz5z706, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Guerrero, Thomas E. & Guevara, C. Angelo & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2022. "Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models," Journal of choice modelling, Elsevier, vol. 42(C).
    8. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt9mg5s5g8, Institute of Transportation Studies, UC Davis.
    9. Giacomo Pallante & Adam Drucker, 2014. "Niche Markets for Agrobiodiversity Conservation: Preference and Scale Heterogeneity Effects on Nepalese Consumers’ WTP for Finger Millet Products," SEEDS Working Papers 1414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2014.
    10. Shiwen Quan & Yinchu Zeng & Xiaohua Yu & Te Bao, 2018. "WTP for baby milk formula in China: Using attribute nonattendance as a priori information to select attributes in choice experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 300-320, March.
    11. Dudinskaya, Emilia Cubero & Naspetti, Simona & Zanoli, Raffaele, 2020. "Using eye-tracking as an aid to design on-screen choice experiments," Journal of choice modelling, Elsevier, vol. 36(C).
    12. Mokhtarian, Patricia L & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," University of California Transportation Center, Working Papers qt8bz3z5qm, University of California Transportation Center.
    13. Medard, Turyamureba & Yawe, Bruno L. & Bosco, Oryema John, 2022. "Determinants of Demand for Private Health Insurance in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 10(3), June.
    14. 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.
    15. Andrea Pellegrini & Stefano Scagnolari, 2021. "The relationship between length of stay and land transportation mode in the tourism sector: A discrete–continuous framework applied to Swiss data," Tourism Economics, , vol. 27(1), pages 243-259, February.
    16. Groh, Elke D., 2022. "Exposure to wind turbines, regional identity and the willingness to pay for regionally produced electricity," Resource and Energy Economics, Elsevier, vol. 70(C).
    17. Moser, Riccarda & Raffaelli, Roberta, 2014. "Does attribute cut-off elicitation affect choice consistency? Contrasting hypothetical and real-money choice experiments," Journal of choice modelling, Elsevier, vol. 11(C), pages 16-29.
    18. Jordan Louviere & Joffre Swait, 2010. "—Discussion of “Alleviating the Constant Stochastic Variance Assumption in Decision Research: Theory, Measurement, and Experimental Test”," Marketing Science, INFORMS, vol. 29(1), pages 18-22, 01-02.
    19. Caplan, Arthur J. & Akhundjanov, Sherzod B. & Toll, Kristopher, 2021. "Measuring heterogeneous preferences for residential amenities," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    20. Viswanathan, Vijay & Sese, F. Javier & Krafft, Manfred, 2017. "Social influence in the adoption of a B2B loyalty program: The role of elite status members," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 901-918.
    21. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction? Evidence from a Discrete Choice Experiment," ISU General Staff Papers 202101010800001067, Iowa State University, Department of Economics.
    22. Rashidi, Taha H. & Koo, Tay T.R., 2016. "An analysis on travel party composition and expenditure: a discrete-continuous model," Annals of Tourism Research, Elsevier, vol. 56(C), pages 48-64.
    23. 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).
    24. Mokhtarian, Patricia L., 2016. "Presenting the Independence of Irrelevant Alternatives property in a first course on logit modeling," Journal of choice modelling, Elsevier, vol. 21(C), pages 25-29.
    25. Danalet, Antonin & Tinguely, Loïc & Lapparent, Matthieu de & Bierlaire, Michel, 2016. "Location choice with longitudinal WiFi data," Journal of choice modelling, Elsevier, vol. 18(C), pages 1-17.
    26. Floyd, Kristopher & Freling, Ryan & Alhoqail, Saad & Cho, Hyun Young & Freling, Traci, 2014. "How Online Product Reviews Affect Retail Sales: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 217-232.
    27. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    28. Gallardo, R. Karina & Olanie, Aaron & Ordóñez, Rita & Ostrom, Ostrom, 2015. "The Use of Electronic Payment Machines at Farmers Markets: Results from a Choice Experiment Study," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(01), pages 1-26, February.
    29. Brathwaite, Timothy & Walker, Joan L., 2018. "Causal inference in travel demand modeling (and the lack thereof)," Journal of choice modelling, Elsevier, vol. 26(C), pages 1-18.
    30. Pallante, Giacomo & Drucker, Adam G. & Sthapit, Sajal, 2016. "Assessing the potential for niche market development to contribute to farmers' livelihoods and agrobiodiversity conservation: Insights from the finger millet case study in Nepal," Ecological Economics, Elsevier, vol. 130(C), pages 92-105.
    31. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    32. Gregory Howard & Brian E. Roe & Matthew G. Interis & Jay Martin, 2020. "Addressing Attribute Value Substitution in Discrete Choice Experiments to Avoid Unintended Consequences," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 813-838, December.
    33. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    34. Fischer, Anke & Glenk, Klaus, 2011. "One model fits all? -- On the moderating role of emotional engagement and confusion in the elicitation of preferences for climate change adaptation policies," Ecological Economics, Elsevier, vol. 70(6), pages 1178-1188, April.
    35. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Brands, Ties & van Oort, Niels & Teller, David, 2021. "Multi-city exploration of built environment and transit mode use: Comparison of Melbourne, Amsterdam and Boston," Journal of Transport Geography, Elsevier, vol. 95(C).
    36. Melvin Wong & Bilal Farooq, 2019. "ResLogit: A residual neural network logit model for data-driven choice modelling," Papers 1912.10058, arXiv.org, revised Feb 2021.
    37. José Luis Espinosa-Aranda & Ricardo García-Ródenas & María Luz López-García & Eusebio Angulo, 2018. "Constrained nested logit model: formulation and estimation," Transportation, Springer, vol. 45(5), pages 1523-1557, September.
    38. Smirnov, Oleg A., 2010. "Modeling spatial discrete choice," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 292-298, September.
    39. Turyamureba, Medard & Yawe, Bruno L. & Oryema, John Bosco, 2022. "Factors Influencing the Choice of Private Health Care Providers in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    40. Shr, Yau-Huo Jimmy & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction Programs: Evidence from a Discrete Choice Experiment," 2021 Annual Meeting, August 1-3, Austin, Texas 313927, Agricultural and Applied Economics Association.
    41. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    42. Roe, Brian E. & Interis, Matthew G. & Howard, Gregory E., 2018. "Utilizing Subjective Beliefs in Stated Preference Models: Issues and Solutions," 2018 Annual Meeting, August 5-7, Washington, D.C. 274017, Agricultural and Applied Economics Association.
    43. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    44. Fernández-Antolín, Anna & Guevara, C. Angelo & de Lapparent, Matthieu & Bierlaire, Michel, 2016. "Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data," Journal of choice modelling, Elsevier, vol. 20(C), pages 1-15.
    45. Hitayezu, Patrick & Wale, Edilegnaw & Ortmann, Gerald, 2015. "Assessing Agricultural Land Use Change in the Midlands Region of KwaZulu-Natal, South Africa: Application of Mixed-Multinomial Logit," 2015 Conference, August 9-14, 2015, Milan, Italy 211736, International Association of Agricultural Economists.
    46. Moser, Riccarda & Raffaelli, Roberta, 2011. "Exploiting cut-off information to incorporate context effect: a discrete choice experiment on small fruits in a Alpine region," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114646, European Association of Agricultural Economists.
    47. Shi, Miaoying & Yin, Runsheng & Lv, Hongdi, 2017. "An empirical analysis of the driving forces of forest cover change in northeast China," Forest Policy and Economics, Elsevier, vol. 78(C), pages 78-87.
    48. Chih-Wen Yang & Cheng-Lung (Richard) Wu & Jin-Long Lu, 2021. "Exploring the interdependency and determinants of tourism participation, expenditure, and duration: An analysis of Taiwanese citizens traveling abroad," Tourism Economics, , vol. 27(4), pages 649-669, June.
    49. Hoyos, David & Mariel, Petr & Fernández-Macho, Javier, 2009. "The influence of cultural identity on the WTP to protect natural resources: Some empirical evidence," Ecological Economics, Elsevier, vol. 68(8-9), pages 2372-2381, June.

  11. Brownstone, David & Small, Kenneth A., 2005. "Valuing time and reliability: assessing the evidence from road pricing demonstrations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 279-293, May.
    See citations under working paper version above.
  12. Brownstone, David & Ghosh, Arindam & Golob, Thomas F. & Kazimi, Camilla & Van Amelsfort, Dirk, 2003. "Drivers' willingness-to-pay to reduce travel time: evidence from the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 373-387, May.
    See citations under working paper version above.
  13. David Brownstone & Robert Valletta, 2001. "The Bootstrap and Multiple Imputations: Harnessing Increased Computing Power for Improved Statistical Tests," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 129-141, Fall.

    Cited by:

    1. Monchuk, Daniel C. & Hayes, Dermot J. & Miranowski, John & Lambert, Dayton, 2013. "Inference Based on Alternative Bootstrapping Methods in Spatial Models with an Application to County Income Growth in the United States," Staff General Research Papers Archive 36121, Iowa State University, Department of Economics.
    2. Borbély, Dóra & Meier, Carsten-Patrick, 2003. "Macroeconomic interval forecasting: the case of assessing the risk of deflation in Germany," Kiel Working Papers 1153, Kiel Institute for the World Economy (IfW Kiel).
    3. Marco Caliendo & Sabine Kopeinig, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," Discussion Papers of DIW Berlin 485, DIW Berlin, German Institute for Economic Research.
    4. Gründler, Klaus & Scheuermeyer, Philipp, 2018. "Growth effects of inequality and redistribution: What are the transmission channels?," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 293-313.
    5. Jonah B. Gelbach & Doug Miller & A. Colin Cameron, 2006. "Bootstrap-Based Improvements for Inference with Clustered Errors," Working Papers 128, University of California, Davis, Department of Economics.
    6. Fairlie, Robert W. & Robb, Alicia, 2003. "Families, Human Capital, and Small Business: Evidence from the Characteristics of Business Owners Survey," Center Discussion Papers 28446, Yale University, Economic Growth Center.
    7. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    8. Lazarov, Vladimir & Hinterschweiger, Marc, 2018. "Determinants of distress in the UK owner-occupier and buy-to-let mortgage markets," Bank of England working papers 760, Bank of England.
    9. Seung-Hyun Lee & Kyeungrae Oh & Lorraine Eden, 2010. "Why Do Firms Bribe?," Management International Review, Springer, vol. 50(6), pages 775-796, December.
    10. González-Gómez, Manuel & Álvarez-Díaz, Marcos & Otero-Giráldez, María Soledad, 2013. "Estimating the long-run impact of forest fires on the eucalyptus timber supply in Galicia, Spain," Journal of Forest Economics, Elsevier, vol. 19(2), pages 149-161.
    11. Tamini, Lota D., 2011. "A nonparametric analysis of the impact of agri-environmental advisory activities on best management practice adoption: A case study of Québec," Ecological Economics, Elsevier, vol. 70(7), pages 1363-1374, May.
    12. Leontaridi, Rannia M., 2002. "Career, experience and returns to human capital: is the dual labour market hypothesis relevant for the UK?," Research in Economics, Elsevier, vol. 56(4), pages 399-426, December.
    13. Lars Thiel, 2015. "Leave the Drama on the Stage: The Effect of Cultural Participation on Health," SOEPpapers on Multidisciplinary Panel Data Research 767, DIW Berlin, The German Socio-Economic Panel (SOEP).
    14. Christopher Bowdler & John C. Bluedorn, 2006. "Open Economy Codependence: U.S. Monetary Policy and Interest Rate Pass-through," Economics Series Working Papers 290, University of Oxford, Department of Economics.
    15. Andrew C. Chang, 2014. "Tax Policy Endogeneity: Evidence from R&D Tax Credits," Finance and Economics Discussion Series 2014-101, Board of Governors of the Federal Reserve System (U.S.).
    16. Asma Hyder & Barry Reilly, 2005. "The Public and Private Sector Pay Gap in Pakistan: A Quantile Regression Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 44(3), pages 271-306.
    17. Geir Gustavsen & Kyrre Rickertsen, 2014. "Consumer cohorts and purchases of nonalcoholic beverages," Empirical Economics, Springer, vol. 46(2), pages 427-449, March.
    18. Otero-Giráldez, María Soledad & Álvarez-Díaz, Marcos & González-Gómez, Manuel, 2012. "Estimating the long-run effects of socioeconomic and meteorological factors on the domestic tourism demand for Galicia (Spain)," Tourism Management, Elsevier, vol. 33(6), pages 1301-1308.
    19. John C. Bluedorn & Christopher Bowdler, 2010. "The Empirics of International Monetary Transmission: Identification and the Impossible Trinity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 679-713, June.
    20. Benavides Guillermo, 2020. "Asymmetric Volatility Effects in Risk Management: An Empirical Analysis using a Stock Index Futures," Working Papers 2020-10, Banco de México.
    21. Dean Scrimgeour, 2022. "Reevaluating the evidence on seasonality in housing market match quality: Replication of Ngai and Tenreyro (2014)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1403-1409, November.
    22. Torben Klarl, 2013. "Is Spatial Bootstrapping a Panacea for Valid Inference?," Discussion Paper Series 322, Universitaet Augsburg, Institute for Economics.
    23. Bofinger, Peter & Scheuermeyer, Philipp, 2016. "Income Distribution and Aggregate Saving: A Non-Monotonic Relationship," CEPR Discussion Papers 11435, C.E.P.R. Discussion Papers.
    24. Wei Chen & Paul Hribar & Sam Melessa, 2023. "Standard Error Biases When Using Generated Regressors in Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 61(2), pages 531-569, May.
    25. Rodrigo Mariscal & Andrew Powell, 2012. "Forecasting Inflation Risks in Latin America: A Technical Note," Research Department Publications 4785, Inter-American Development Bank, Research Department.
    26. Hagedoorn, John & Ridder, Ann-Kristin, 2012. "Open innovation, contracts, and intellectual property rights: an exploratory empirical study," MERIT Working Papers 2012-025, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    27. Robert W. Fairlie & Alicia M. Robb, 2007. "Why Are Black-Owned Businesses Less Successful than White-Owned Businesses? The Role of Families, Inheritances, and Business Human Capital," Journal of Labor Economics, University of Chicago Press, vol. 25(2), pages 289-323.
    28. Emmanuel Flachaire, 2005. "Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap," Post-Print halshs-00175910, HAL.
    29. Kadria, Mohamed & Ben Aissa, Mohamed Safouane, 2016. "Inflation targeting and public deficit in emerging countries: A time varying treatment effect approach," Economic Modelling, Elsevier, vol. 52(PA), pages 108-114.
    30. Hutchens, Robert M. & Grace-Martin, Karen, 2004. "Who Among White Collar Workers Has an Opportunity for Phased Retirement? Establishment Characteristics," IZA Discussion Papers 1155, Institute of Labor Economics (IZA).
    31. Guillermo Benavides, 2021. "Asymmetric Volatility Relevance in Risk Management: An Empirical Analysis using Stock Index Futures," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(TNEA), pages 1-18, Septiembr.
    32. Giesecke, James A. & Horridge, J. Mark & Scaramucci, José A., 2008. "Brazilian structural adjustment to rapid growth in fuel ethanol demand," Conference papers 331670, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    33. Andersson Joona, Pernilla & Wadensjö, Eskil, 2004. "Why Do Self-Employed Immigrants in Denmark and Sweden Have Such Low Incomes?," IZA Discussion Papers 1280, Institute of Labor Economics (IZA).
    34. Robert Hutchens & Karen Grace-Martin, 2006. "Employer Willingness to Permit Phased Retirement: Why are Some More Willing Than others?," ILR Review, Cornell University, ILR School, vol. 59(4), pages 525-546, July.
    35. Gina Yannitell Reinhardt, 2009. "Matching Donors and Nonprofits," Journal of Theoretical Politics, , vol. 21(3), pages 283-309, July.
    36. Lamarche, Carlos, 2011. "Measuring the incentives to learn in Colombia using new quantile regression approaches," Journal of Development Economics, Elsevier, vol. 96(2), pages 278-288, November.
    37. Scheuermeyer, Philipp & Bofinger, Peter, 2016. "Income Distribution and Household Saving: A Non-Monotonic Relationship," VfS Annual Conference 2016 (Augsburg): Demographic Change 145901, Verein für Socialpolitik / German Economic Association.
    38. Robert W. Fairlie & Alicia M. Robb, 2008. "Race and Entrepreneurial Success: Black-, Asian-, and White-Owned Businesses in the United States," MIT Press Books, The MIT Press, edition 1, volume 1, number 026206281x, December.
    39. Hutchens, Robert, 2010. "Worker characteristics, job characteristics, and opportunities for phased retirement," Labour Economics, Elsevier, vol. 17(6), pages 1010-1021, December.
    40. Bazen, Stephen & Le Gallo, Julie, 2009. "The state-federal dichotomy in the effects of minimum wages on teenage employment in the United States," Economics Letters, Elsevier, vol. 105(3), pages 267-269, December.
    41. Helen R. Neill & David M. Hassenzahl & Djeto D. Assane, 2007. "Estimating the Effect of Air Quality: Spatial versus Traditional Hedonic Price Models," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1088-1111, April.
    42. Kenneth S. Rogoff & Vania Stavrakeva, 2008. "The Continuing Puzzle of Short Horizon Exchange Rate Forecasting," NBER Working Papers 14071, National Bureau of Economic Research, Inc.
    43. Helder Ferreira de Mendonça & Natália Ferreira Trigo, 2024. "What is the effect of imported inflation and central bank credibility on the poor and rich?," Applied Economics, Taylor & Francis Journals, vol. 56(21), pages 2520-2543, May.
    44. Dioikitopoulos, Evangelos V. & Minos, Dimitrios & Vandoros, Sotiris, 2020. "The (Agri-)Cultural origins of obesity," Social Science & Medicine, Elsevier, vol. 244(C).
    45. Tamini, Lota D., 2009. "Agri-Environment Advisory Activities Effects on Best Management Practices Adoption," MPRA Paper 18961, University Library of Munich, Germany.
    46. Meier, Carsten-Patrick, 2004. "Investigating the impact of an appreciation of the euro in a small macroeconometric model of Germany and the euro area," Kiel Working Papers 1204, Kiel Institute for the World Economy (IfW Kiel).
    47. Garza-Gil, M. Dolores & Varela-Lafuente, Manuel M. & Caballero-Miguez, Gonzalo & Álvarez-Díaz, Marcos, 2011. "Analysing the profitability of the Spanish fleet after the anchovy moratorium using bootstrap techniques," Ecological Economics, Elsevier, vol. 70(6), pages 1154-1161, April.
    48. Mercedes Mareque & Elena de Prada Creo & Marcos Álvarez-Díaz, 2021. "Exploring Creative Tourism Based on the Cultural and Creative Cities (C3) Index and Using Bootstrap Confidence Intervals," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    49. Peter Bofinger & Philipp Scheuermeyer, 2019. "Income Distribution and Aggregate Saving: A Non‐Monotonic Relationship," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 872-907, December.
    50. Elias Christopher J., 2015. "Percentile and Percentile-t Bootstrap Confidence Intervals: A Practical Comparison," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 153-161, January.
    51. Nadeem ul Haque & Musleh Ud Din (ed.), 2006. "Public Sector Efficiency Perspectives On Civil Service Reform," PIDE Books, Pakistan Institute of Development Economics, number 2006:2.
    52. Florian Leon & Ibrahima Dosso, 2020. "Civil conflict and firm recovery: Evidence from post-electoral crisis in Côte d'Ivoire," Working Papers hal-02865559, HAL.

  14. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    See citations under working paper version above.
  15. Kazimi, Camilla & Brownstone, David, 1999. "Bootstrap confidence bands for shrinkage estimators," Journal of Econometrics, Elsevier, vol. 90(1), pages 99-127, May.
    See citations under working paper version above.
  16. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    See citations under working paper version above.
  17. Golob, Thomas F. & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soheila Soltani & Bunch, David S., 1997. "Commercial fleet demand for alternative-fuel vehicles in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(3), pages 219-233, May.
    See citations under working paper version above.
  18. Brownstone, David & Valletta, Robert G, 1996. "Modeling Earnings Measurement Error: A Multiple Imputation Approach," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 705-717, November.
    See citations under working paper version above.
  19. Brownstone, David & Golob, Thomas F., 1992. "The effectiveness of ridesharing incentives: Discrete-choice models of commuting in Southern California," Regional Science and Urban Economics, Elsevier, vol. 22(1), pages 5-24, March.
    See citations under working paper version above.
  20. Brownstone, David & De Vany, Arthur, 1991. "Zoning, Returns to Scale, and the Value of Undeveloped Land," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 699-704, November.

    Cited by:

    1. Ritter, Matthias & Hüttel, Silke & Odening, Martin & Seifert, Stefan, 2020. "Revisiting the relationship between land price and parcel size in agriculture," Land Use Policy, Elsevier, vol. 97(C).
    2. Hans R. Isakson, 1997. "An Empirical Analysis of the Determinants of the Value of Vacant Land," Journal of Real Estate Research, American Real Estate Society, vol. 13(2), pages 103-114.
    3. Jeanty, Pierre Wilner & Kraybill, David S. & Libby, Lawrence W. & Sohngen, Brent, 2002. "Effects Of Local Development Pressure On Land Prices: A Spatial Economic Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19767, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Cameron K. Murray, 2021. "Marginal and average prices of land lots should not be equal: A critique of Glaeser and Gyourko’s method for identifying residential price effects of town planning regulations," Environment and Planning A, , vol. 53(1), pages 191-209, February.
    5. Peter Abelson, 1997. "House and Land Prices in Sydney from 1931 to 1989," Urban Studies, Urban Studies Journal Limited, vol. 34(9), pages 1381-1400, August.
    6. Nichols, Joseph B. & Oliner, Stephen D. & Mulhall, Michael R., 2013. "Swings in commercial and residential land prices in the United States," Journal of Urban Economics, Elsevier, vol. 73(1), pages 57-76.
    7. Fiorenza Spalatro & Bill Provencher, 2001. "An Analysis of Minimum Frontage Zoning to Preserve Lakefront Amenities," Land Economics, University of Wisconsin Press, vol. 77(4), pages 469-481.
    8. Colwell, Peter F. & Munneke, Henry J., 1997. "The Structure of Urban Land Prices," Journal of Urban Economics, Elsevier, vol. 41(3), pages 321-336, May.
    9. Peter F. Colwell & Tim F. Scheu, 1994. "A History of Site Valuation Rules: Functions and Empirical Evidence," Journal of Real Estate Research, American Real Estate Society, vol. 9(3), pages 353-368.
    10. Peter Phibbs & Nicole Gurran, 2021. "The role and significance of planning in the determination of house prices in Australia: Recent policy debates," Environment and Planning A, , vol. 53(3), pages 457-479, May.
    11. Hsieh, Wen-Hua & Irwin, Elena G. & Libby, Lawrence W., 2001. "The Effect Of Rural Zoning On The Allocation Of Land Use In Ohio," 2001 Annual meeting, August 5-8, Chicago, IL 20599, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Peter Colwell & Henry Munneke, 2009. "Directional Land Value Gradients," The Journal of Real Estate Finance and Economics, Springer, vol. 39(1), pages 1-23, July.
    13. Terrence M. Clauretie & Herman Li, 2019. "Land Values: Size Matters," The Journal of Real Estate Finance and Economics, Springer, vol. 58(1), pages 80-110, January.
    14. Liang Peng & Thomas Thibodeau, 2012. "Government Interference and the Efficiency of the Land Market in China," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 919-938, November.
    15. Shrestha, Ram K. & Alavalapati, Janaki R.R., 2004. "Effect of Ranchland Attributes on Recreational Hunting in Florida: A Hedonic Price Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(3), pages 1-10, December.
    16. Thomas J. Miceli & Henry J. Munneke & C. F. Sirmans & Geoffrey K. Turnbull, 2008. "A Question of Title: Property Rights and Asset Values," Working papers 2008-32, University of Connecticut, Department of Economics.
    17. Michael R. Mulhall & Joseph B. Nichols & Stephen D. Oliner, 2010. "Commercial and residential land prices across the United States," Finance and Economics Discussion Series 2010-16, Board of Governors of the Federal Reserve System (U.S.).
    18. Yamasaki, Junichi & Nakajima, Kentaro & Teshima, Kensuke, 2021. "From Samurai to Skyscrapers: How Historical Lot Fragmentation Shapes Tokyo," TDB-CAREE Discussion Paper Series E-2020-02, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
    19. Hee Jin Yang & Jihoon Song & Mack Joong Choi, 2016. "Measuring the Externality Effects of Commercial Land Use on Residential Land Value: A Case Study of Seoul," Sustainability, MDPI, vol. 8(5), pages 1-15, April.
    20. Towe, Charles A., 2011. "A Competing Risks Model of Land Use Change," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103725, Agricultural and Applied Economics Association.

  21. Brownstone, David & Englund, Peter, 1991. "The demand for housing in Sweden: Equilibrium choice of tenure and type of dwelling," Journal of Urban Economics, Elsevier, vol. 29(3), pages 267-281, May.
    See citations under working paper version above.
  22. Brownstone, David, 1990. "Bootstrapping improved estimators for linear regression models," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 171-187.

    Cited by:

    1. Akio Namba & Kazuhiro Ohtani, 2018. "MSE performance of the weighted average estimators consisting of shrinkage estimators," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(5), pages 1204-1214, March.
    2. Hannes Leeb & Benedikt M. Potscher, 2003. "Can One Estimate the Conditional Distribution of Post-Model-Selection Estimators?," Cowles Foundation Discussion Papers 1444, Cowles Foundation for Research in Economics, Yale University.
    3. Kazimi, Camilla & Brownstone, David, 1999. "Bootstrap confidence bands for shrinkage estimators," Journal of Econometrics, Elsevier, vol. 90(1), pages 99-127, May.
    4. Shakhawat Hossain & Shahedul A. Khan, 2020. "Shrinkage estimation of the exponentiated Weibull regression model for time‐to‐event data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(4), pages 592-610, November.
    5. Tanya Suchoy & Amit Friedman, 2002. "The NAIRU in Israel: an Unobserved Components Approach," Bank of Israel Working Papers 2002.08, Bank of Israel.
    6. Akio Namba, 2021. "Bootstrapping the Stein-Rule Estimators," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 219-237, December.
    7. McAleer, Michael & Veall, Michael R., 1995. "Data mining and the con in econometrics: the U.S. demand for money revisited," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 329-333.
    8. Helen X. H. Bao & Alan T. K. Wan, 2007. "Improved Estimators of Hedonic Housing Price Models," Journal of Real Estate Research, American Real Estate Society, vol. 29(3), pages 267-302.
    9. Amit Friedman & Tanya Suchoy, 2004. "The NAIRU in Israel: An Unobserved Components Approach," Israel Economic Review, Bank of Israel, vol. 2(2), pages 125-154.
    10. Vinod, H. D., 1995. "Double bootstrap for shrinkage estimators," Journal of Econometrics, Elsevier, vol. 68(2), pages 287-302, August.
    11. Lee C. Adkins, 2013. "The Restricted Least Squares Stein-Rule in gretl," Economics Working Paper Series 1305, Oklahoma State University, Department of Economics and Legal Studies in Business.
    12. Ohtani, Kazuhiro, 2000. "Bootstrapping R2 and adjusted R2 in regression analysis," Economic Modelling, Elsevier, vol. 17(4), pages 473-483, December.

  23. Brownstone, David & Small, Kenneth A, 1989. "Efficient Estimation of Nested Logit Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(1), pages 67-74, January.

    Cited by:

    1. Koppelman, Frank S. & Wen, Chieh-Hua, 1998. "Alternative nested logit models: structure, properties and estimation," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 289-298, June.
    2. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
    3. Birolini, Sebastian & Avogadro, Nicolò & Malighetti, Paolo & Paleari, Stefano, 2024. "Con-Accessibility: Logit-based catchment area modeling for strategic airport system planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    4. Lahiri, Kajal & Gao, Jian, 2002. "Bayesian analysis of nested logit model by Markov chain Monte Carlo," Journal of Econometrics, Elsevier, vol. 111(1), pages 103-133, November.
    5. Marc J. Leclere, 1999. "The Interpretation of Coefficients in N†Chotomous Qualitative Response Models," Contemporary Accounting Research, John Wiley & Sons, vol. 16(4), pages 711-747, December.
    6. Lefebvre, Pierre & Brouillette, Liliane & Felteau, Claude, 1994. "Comportements de fécondité des Québécoises, allocations familiales et impôts : résultats et simulations d’un modèle de choix discrets portant sur les années 1975-1987," L'Actualité Economique, Société Canadienne de Science Economique, vol. 70(4), pages 399-451, décembre.
    7. Vinit Kumar Mishra & Karthik Natarajan & Dhanesh Padmanabhan & Chung-Piaw Teo & Xiaobo Li, 2014. "On Theoretical and Empirical Aspects of Marginal Distribution Choice Models," Management Science, INFORMS, vol. 60(6), pages 1511-1531, June.
    8. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    9. Kaoru, Yoshiaki, 1995. "Measuring marine recreation benefits of water quality improvements by the nested random utility model," Resource and Energy Economics, Elsevier, vol. 17(2), pages 119-136, August.
    10. Beyhaghi, Mehdi & Massoud, Nadia & Saunders, Anthony, 2017. "Why and how do banks lay off credit risk? The choice between retention, loan sales and credit default swaps," Journal of Corporate Finance, Elsevier, vol. 42(C), pages 335-355.
    11. Youssef M. Aboutaleb & Moshe Ben-Akiva & Patrick Jaillet, 2020. "Learning Structure in Nested Logit Models," Papers 2008.08048, arXiv.org.
    12. Needelman, Michael S. & Kealy, Mary Jo, 1995. "Recreational Swimming Benefits Of New Hampshire Lake Water Quality Policies: An Application Of A Repeated Discrete Choice Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(01), pages 1-10, April.
    13. Bodas Freitas, Isabel Maria & Geuna, Aldo & Rossi, Federica, 2013. "Finding the right partners: Institutional and personal modes of governance of university–industry interactions," Research Policy, Elsevier, vol. 42(1), pages 50-62.
    14. Matthew Kovach & Gerelt Tserenjigmid, 2021. "Behavioral Foundations of Nested Stochastic Choice and Nested Logit," Papers 2112.07155, arXiv.org, revised Feb 2022.
    15. Schupp, Alvin R. & Dellenbarger, Lynn E., 1993. "The Effectiveness Of State Logos For Farm-Raised Catfish," Journal of Food Distribution Research, Food Distribution Research Society, vol. 24(2), pages 1-12, September.
    16. Paulo Guimaraes & Robert J. Rolfe & Douglas P. Woodward, 1998. "Regional Incentives and Industrial Location in Puerto Rico," International Regional Science Review, , vol. 21(2), pages 119-138, August.
    17. Wu, Libo & Li, Changhe & Qian, Haoqi & Zhang, ZhongXiang, 2013. "Understanding the Consumption Behaviors on Electric Vehicles in China - A Stated Preference Analysis," Climate Change and Sustainable Development 158729, Fondazione Eni Enrico Mattei (FEEM).
    18. Bhat, Chandra R., 1997. "Covariance heterogeneity in nested logit models: Econometric structure and application to intercity travel," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 11-21, February.
    19. David Muller & Yurii Nesterov & Vladimir Shikhman, 2021. "Dynamic pricing under nested logit demand," Papers 2101.04486, arXiv.org.
    20. Eymann, Angelika & Ronning, Gerd, 1992. "Microeconometric models of tourists' destination choice," Discussion Papers, Series II 171, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    21. Orbeta, Aniceto Jr. C. & Alba, Michael M., 1998. "Macroeconomic Policy Change and Household Health Outomes: A Simulation of the Impact of the 1988-1992 Tariff Reform Program," Discussion Papers DP 1998-03, Philippine Institute for Development Studies.
    22. Junsen Zhang & Saul D. Hoffman, 1993. "Discrete-Choice Logit Models," Sociological Methods & Research, , vol. 22(2), pages 193-213, November.
    23. Poirier, Dale J., 1996. "A Bayesian analysis of nested logit models," Journal of Econometrics, Elsevier, vol. 75(1), pages 163-181, November.

  24. Brownstone, David & Englund, Peter & Persson, Mats, 1988. "A microsimulation model of Swedish housing demand," Journal of Urban Economics, Elsevier, vol. 23(2), pages 179-198, March.

    Cited by:

    1. Peter Englund, 2003. "Taxing Residential Housing Capital," Urban Studies, Urban Studies Journal Limited, vol. 40(5-6), pages 937-952, May.
    2. Hansson Brusewitz, Urban, 1998. "Self-Selectivity and Kinked Budget Constraints: The Demand for Housing in Sweden," Journal of Housing Economics, Elsevier, vol. 7(3), pages 243-273, September.

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