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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. 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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Gabriel M. Ahlfeldt & Elisabetta Pietrostefani, 2017. "The Economic Effects of Density: A Synthesis," SERC Discussion Papers 0210, Centre for Economic Performance, LSE.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Kim, Jinwon, 2015. "Vehicle Fuel-Efficiency Choices, Emission Externalities, and Urban Sprawl," MPRA Paper 66922, University Library of Munich, Germany.
    23. 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.
    24. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    25. 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).
    26. 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.
    27. 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.
    28. Manville, Michael & Pinski, Miriam, 2020. "Parking behaviour: Bundled parking and travel behavior in American cities," Land Use Policy, Elsevier, vol. 91(C).
    29. Dascher, Kristof, 2013. "City Silhouette, World Climate," MPRA Paper 48375, University Library of Munich, Germany.

  2. 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. Kenneth Gillingham & Anders Munk-Nielsen, 2016. "A Tale of Two Tails: Commuting and the Fuel Price Response in Driving," NBER Working Papers 22937, National Bureau of Economic Research, Inc.

  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. 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.
    2. 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.
    3. 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).
    4. Winston, Clifford & Yan, Jia, 2021. "Vehicle size choice and automobile externalities: A dynamic analysis," Journal of Econometrics, Elsevier, vol. 222(1), pages 196-218.
    5. Schmidt, Peter, 2020. "The effect of car sharing on car sales," International Journal of Industrial Organization, Elsevier, vol. 71(C).
    6. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Bruno De Borger & Ismir Mulalic & Jan Rouwendal, 2013. "Substitution between Cars within the Household," Tinbergen Institute Discussion Papers 13-158/VIII, Tinbergen Institute.
    12. 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.
    13. 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.

  4. 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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. André De Palma & Nathalie Picard & Matthieu De Lapparent, 2014. "Risky Time Prospects and Travel Demand," Mathematical Population Studies, Taylor & Francis Journals, vol. 21(4), pages 185-188, December.
    14. Ignacio A. Inoa & Nathalie Picard & André de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01311135, HAL.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
    20. 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).
    21. 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.
    22. 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.
    23. 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.
    24. Borgonovo, Emanuele & Marinacci, Massimo, 2015. "Decision analysis under ambiguity," European Journal of Operational Research, Elsevier, vol. 244(3), pages 823-836.
    25. 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.
    26. 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.
    27. Verme,Paolo, 2017. "The economics of forced displacement : an introduction," Policy Research Working Paper Series 8038, The World Bank.
    28. 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.
    29. 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.
    30. Eric André, 2014. "Optimal portfolio with vector expected utility," Post-Print hal-02313341, HAL.
    31. 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.
    32. 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.
    33. André de Palma & Nathalie Picard & Jean-Luc Prigent, 2010. "Eliciting Utility for (Non)Expected Utility Preferences Using Invariance Transformations," Working Papers hal-00517726, HAL.
    34. 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.
    35. Nguyen, Quang, 2009. "Do fishermen have different preferences?: Insights from an experimental study and household data," MPRA Paper 16012, University Library of Munich, Germany.
    36. 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.
    37. Greene, David L., 2011. "Uncertainty, loss aversion, and markets for energy efficiency," Energy Economics, Elsevier, vol. 33(4), pages 608-616, July.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    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.

  5. 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.

    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Janson, Michael & Levinson, David, 2014. "HOT or not," Research in Transportation Economics, Elsevier, vol. 44(C), pages 21-32.
    10. 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.
    11. Shewmake, Sharon & Jarvis, Lovell, 2014. "Hybrid cars and HOV lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 304-319.
    12. 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.
    13. Milos Balac & Sebastian Hörl & Basil Schmid, 2024. "Discrete choice modeling with anonymized data," Transportation, Springer, vol. 51(2), pages 351-370, April.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.

  6. Brownstone, David & Small, Kenneth A., 2003. "Valuing Time and Reliability: Assessing the Evidence from Road Pricing Demonstrations," University of California Transportation Center, Working Papers qt95z0p35k, University of California Transportation Center.

    Cited by:

    1. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2014. "Measurements and properties of the values of time and reliability," Working Papers 14-06, LAMETA, Universtiy of Montpellier, revised Jul 2014.
    2. Fan Jiang & Lichao Wang & Shiyu Huang, 2022. "Analysis of the Transfer Time and Influencing Factors of Air-Rail Integration Passengers: A Case Study of Shijiazhuang Zhengding International Airport," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    3. Helga Fehr-Duda & Robin Schimmelpfennig, 2018. "Wider die Zahlengläubigkeit: Sind Befragungsergebnisse eine gute Grundlage für wirtschaftspolitische Entscheidungen?," ECON - Working Papers 297, Department of Economics - University of Zurich, revised Dec 2018.
    4. Heyndrickx, Christophe & Vanheukelom, Toon & Proost, Stef, 2021. "Distributional impact of a regional road pricing scheme in Flanders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 116-139.
    5. Haoran He & David Neumark & Qian Weng, 2021. "Do Workers Value Flexible Jobs? A Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 39(3), pages 709-738.
    6. Tian, Li-Jun & Huang, Hai-Jun, 2015. "Modeling the modal split and trip scheduling with commuters’ uncertainty expectation," European Journal of Operational Research, Elsevier, vol. 244(3), pages 815-822.
    7. 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.
    8. Duranton, Gilles & Couture, Victor & Akbar, Prottoy A. & Storeygard, Adam, 2018. "Mobility and congestion in urban India," CEPR Discussion Papers 13291, C.E.P.R. Discussion Papers.
    9. Mogens Fosgerau & Michel Bierlaire, 2005. "A practical test for the choice of mixing distribution in a discrete choice model," Econometrics 0512002, University Library of Munich, Germany.
    10. Chu, Singfat, 2015. "Car restraint policies and mileage in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 404-412.
    11. Jennifer Roberts & Karl Taylor, 2017. "Intra-household commuting choices and local labour markets," Oxford Economic Papers, Oxford University Press, vol. 69(3), pages 734-757.
    12. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
    13. Zhaoqi Zang & Richard Batley & Xiangdong Xu & David Z. W. Wang, 2022. "On the value of distribution tail in the valuation of travel time variability," Papers 2207.06293, arXiv.org, revised Dec 2023.
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    140. Lehe, Lewis J., 2020. "Winners and losers from road pricing with heterogeneous travelers and a mixed-traffic bus alternative," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 432-446.
    141. 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.
    142. Wu, Wen-Xiang & Huang, Hai-Jun, 2014. "Finding anonymous tolls to realize target flow pattern in networks with continuously distributed value of time," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 31-46.
    143. Snarr, Hal W. & Axelsen, Dan, 2007. "Accounting for peak shifting in traditional cost-benefit analysis," MPRA Paper 37060, University Library of Munich, Germany.
    144. van Cranenburgh, S. & Chorus, C.G. & van Wee, B., 2014. "Vacation behaviour under high travel cost conditions – A stated preference of revealed preference approach," Tourism Management, Elsevier, vol. 43(C), pages 105-118.
    145. Lars Hultkrantz & Selen Savsin, 2018. "Is ‘referencing’ a remedy to hypothetical bias in value of time elicitation? Evidence from economic experiments," Transportation, Springer, vol. 45(6), pages 1827-1847, November.
    146. Lin, Shihan & Spissu, Erika & Cirillo, Cinzia, 2024. "An analysis of travel behavior and willingness to pay on Express Lanes before and during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    147. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "On the income elasticity of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 368-377.
    148. Lindsey, Robin, 2005. "Recent developments and current policy issues in road pricing in the US and Canada," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 31, pages 46-66.
    149. Kilkki, Kalevi & Hämmäinen, Heikki, 2019. "Value of Time in the Context of Communications Services," 30th European Regional ITS Conference, Helsinki 2019 205189, International Telecommunications Society (ITS).
    150. Wang, Judith Y.T. & Ehrgott, Matthias & Chen, Anthony, 2014. "A bi-objective user equilibrium model of travel time reliability in a road network," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 4-15.
    151. Bert van Wee & Caspar Chorus & Karst T. Geurs, 2012. "ICT and accessibility: research synthesis and future perspectives," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 3, pages 37-53, Edward Elgar Publishing.
    152. Häme, Lauri & Hakula, Harri, 2013. "Dynamic journeying under uncertainty," European Journal of Operational Research, Elsevier, vol. 225(3), pages 455-471.
    153. Gill, David A. & Schuhmann, Peter W. & Oxenford, Hazel A., 2015. "Recreational diver preferences for reef fish attributes: Economic implications of future change," Ecological Economics, Elsevier, vol. 111(C), pages 48-57.
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    156. Jerrod M. Penn & Wuyang Hu, 2021. "The Extent of Hypothetical Bias in Willingness to Accept," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 126-141, January.
    157. 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.
    158. Echeverría, Lucía & Gimenez-Nadal, J. Ignacio & Molina, José Alberto, 2023. "Commuting in dual-earner households: International Gender Differences with Time Use Surveys," GLO Discussion Paper Series 1307, Global Labor Organization (GLO).
    159. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    160. Abulibdeh, Ammar & Zaidan, Esmat, 2018. "Analysis of factors affecting willingness to pay for high-occupancy-toll lanes: Results from stated-preference survey of travelers," Journal of Transport Geography, Elsevier, vol. 66(C), pages 91-105.
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  7. Brownstone, David & Ghosh, Arindam & Kazimi, Camilla & Van Amelsfort, Dirk, 2002. "Drivers' Willingness-to-Pay to Reduce Travel Time: Evidence from the San Diego I-15 Congestion Pricing Project," University of California Transportation Center, Working Papers qt8q7331mz, University of California Transportation Center.

    Cited by:

    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.
    2. 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.
    3. Brian Smalkoski & David Levinson, 2005. "Value of Time for Commercial Vehicle Operators," Working Papers 200501, University of Minnesota: Nexus Research Group.
    4. Zhang, Yuli & Max Shen, Zuo-Jun & Song, Shiji, 2017. "Lagrangian relaxation for the reliable shortest path problem with correlated link travel times," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 501-521.
    5. Chen, Anthony & Zhou, Zhong & Lam, William H.K., 2011. "Modeling stochastic perception error in the mean-excess traffic equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1619-1640.
    6. Seiji S. C. Steimetz, 2009. "White‐Knuckle Externalities," Economic Inquiry, Western Economic Association International, vol. 47(2), pages 304-316, April.
    7. Courty, Pascal & Pagliero, Mario, 2008. "Does Responsive Pricing Smooth Demand Shocks?," CEPR Discussion Papers 6662, C.E.P.R. Discussion Papers.
    8. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    9. Jang, Kitae & Cassidy, Michael J., 2011. "Dual Influences on Vehicle Speeds in Special-Use Lanes and Policy Implications," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0dd859tf, Institute of Transportation Studies, UC Berkeley.
    10. Jacob, Jagan, 2020. "Should competing firms cooperate to reduce congestion?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    11. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    12. Jou, Rong-Chang & Yeh, Yi-Chun, 2013. "Freeway passenger car drivers' travel choice behaviour in a distance-based toll system," Transport Policy, Elsevier, vol. 27(C), pages 11-19.
    13. John Rose & David Hensher, 2014. "Tollroads are only part of the overall trip: the error of our ways in past willingness to pay studies," Transportation, Springer, vol. 41(4), pages 819-837, July.
    14. Capps, Cory & Dranove, David & Lindrooth, Richard C., 2010. "Hospital closure and economic efficiency," Journal of Health Economics, Elsevier, vol. 29(1), pages 87-109, January.
    15. Kobayashi, Kiyoshi & Do, Myungsik, 2005. "The informational impacts of congestion tolls upon route traffic demands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 651-670.
    16. Janson, Michael & Levinson, David, 2014. "HOT or not," Research in Transportation Economics, Elsevier, vol. 44(C), pages 21-32.
    17. Taylor, Brian D., 2004. "The politics of congestion mitigation," Transport Policy, Elsevier, vol. 11(3), pages 299-302, July.
    18. Lichtin, Florian & Smith, E. Keith & Axhausen, Kay W. & Bernauer, Thomas, 2024. "How to design publicly acceptable road pricing? Experimental insights from Switzerland," Ecological Economics, Elsevier, vol. 218(C).
    19. Daniel A. Brent & Austin Gross, 2016. "Dynamic Road Pricing and the Value of Time and Reliability," Departmental Working Papers 2016-07, Department of Economics, Louisiana State University.
    20. van den Berg, Vincent A.C. & Verhoef, Erik T., 2012. "Is the travel time of private roads too short, too long, or just right?," Transportation Research Part B: Methodological, Elsevier, vol. 46(8), pages 971-983.
    21. VanWechel, Tamara & Vachal, Kimberly, 2006. "Investment in Rural Roads: Willingness-to-Pay for Improved Gravel Road Services in Freight Transportation," 47th Annual Transportation Research Forum, New York, New York, March 23-25, 2006 208037, Transportation Research Forum.
    22. Kim, Eui-Jin & Bansal, Prateek, 2024. "A new flexible and partially monotonic discrete choice model," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    23. van den Berg, Vincent & Verhoef, Erik T., 2011. "Congestion tolling in the bottleneck model with heterogeneous values of time," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 60-78, January.
    24. Markose, Sheri & Alentorn, Amadeo & Koesrindartoto, Deddy & Allen, Peter & Blythe, Phil & Grosso, Sergio, 2007. "A smart market for passenger road transport (SMPRT) congestion: An application of computational mechanism design," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2001-2032, June.
    25. Ozbay, Kaan & Yanmaz-Tuzel, Ozlem, 2008. "Valuation of travel time and departure time choice in the presence of time-of-day pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 577-590, May.
    26. Rouhani, Omid M. & Niemeier, Debbie, 2014. "Flat versus spatially variable tolling: A case study in Fresno, California," Journal of Transport Geography, Elsevier, vol. 37(C), pages 10-18.
    27. He, Brian Yueshuai & Zhou, Jinkai & Ma, Ziyi & Wang, Ding & Sha, Di & Lee, Mina & Chow, Joseph Y.J. & Ozbay, Kaan, 2021. "A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City," Transport Policy, Elsevier, vol. 101(C), pages 145-161.
    28. Fafoutellis, Panagiotis & Mantouka, Eleni G. & Vlahogianni, Eleni I., 2022. "Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 270-284.
    29. van Cranenburgh, Sander & Chorus, Caspar G., 2017. "Willingness to Pay-inference in the absence of rejected propositions," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 35-42.
    30. Bergemann, Annette & Brunow, Stephan & Stockton, Isabel, 2024. "There and Back Again: Women's Marginal Commuting Costs," IZA Discussion Papers 16890, Institute of Labor Economics (IZA).
    31. 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.
    32. Papakonstantinou, Ilia & Lee, Jinwoo & Madanat, Samer Michel, 2019. "Game theoretic approaches for highway infrastructure protection against sea level rise: Co-opetition among multiple players," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 21-37.
    33. 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.
    34. Shewmake, Sharon & Jarvis, Lovell, 2014. "Hybrid cars and HOV lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 304-319.
    35. 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.
    36. Lindsey, Robin, 2011. "State-dependent congestion pricing with reference-dependent preferences," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1501-1526.
    37. 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.
    38. Lindsey, Robin, 2009. "Cost recovery from congestion tolls with random capacity and demand," Journal of Urban Economics, Elsevier, vol. 66(1), pages 16-24, July.
    39. Eboli, Laura & Mazzulla, G., 2008. "Willingness-to-pay of public transport users for improvement in service quality," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 38, pages 107-118.
    40. Daniel Albalate & Germà Bel, 2011. "Privatization and PPPS in transportation infrastructure: Network effects of increasing user fees," IREA Working Papers 201110, University of Barcelona, Research Institute of Applied Economics, revised Jun 2011.
    41. MELIS, Lissa & SÖRENSEN, Kenneth, 2021. "The real-time on-demand bus routing problem: What is the cost of dynamic requests?," Working Papers 2021003, University of Antwerp, Faculty of Business and Economics.
    42. 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.
    43. Xinming Zang & Zhenqi Guo & Jingai Ma & Yongguang Zhong & Xiangfeng Ji, 2021. "Target-Oriented User Equilibrium Considering Travel Time, Late Arrival Penalty, and Travel Cost on the Stochastic Tolled Traffic Network," Sustainability, MDPI, vol. 13(17), pages 1-22, September.
    44. Barahimi, Amir Hossein & Eydi, Alireza & Aghaie, Abdolah, 2021. "Multi-modal urban transit network design considering reliability: multi-objective bi-level optimization," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    45. Holguín-Veras, José, 2011. "Urban delivery industry response to cordon pricing, time-distance pricing, and carrier-receiver policies in competitive markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 802-824, October.
    46. Foreman, Kate, 2016. "Crossing the bridge: The effects of time-varying tolls on curbing congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 76-94.
    47. Morteza Chalak & Veronique Florec & Atakelty Hailu & Fiona Gibson & David Pannell, 2017. "Integrating non-market values in economic analyses of flood mitigation: a case study of the Brown Hill and Keswick creeks catchment in Adelaide," Working Papers 256513, University of Western Australia, School of Agricultural and Resource Economics.
    48. Holgin-Veras, José, 2008. "Necessary conditions for off-hour deliveries and the effectiveness of urban freight road pricing and alternative financial policies in competitive markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 392-413, February.
    49. Xiangdong Xu & Anthony Chen & Lin Cheng, 2013. "Assessing the effects of stochastic perception error under travel time variability," Transportation, Springer, vol. 40(3), pages 525-548, May.
    50. Holgui­n-Veras, Jose & Cetin, Mecit & Xia, Shuwen, 2006. "A comparative analysis of US toll policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 852-871, December.
    51. Demisch, Alexander & Iseki, Hiroyuki PhD & Taylor, Brian D., 2009. "TASK A-3: Examining the Linkages between Electronic Roadway Tolling Technologies and Road Pricing Policy Goals," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt24r1b3jr, Institute of Transportation Studies, UC Berkeley.
    52. Glavic, Drazenko & Milos, Mladenovic & Luttinen, Tapio & Cicevic, Svetlana & Trifunovic, Aleksandar, 2017. "Road to price: User perspectives on road pricing in transition country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 79-94.
    53. de Palma, André & Kilani, Moez & Lindsey, Robin, 2005. "Congestion pricing on a road network: A study using the dynamic equilibrium simulator METROPOLIS," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 588-611.
    54. Holguín-Veras, José & Allen, Brandon, 2013. "Time of day pricing and its multi-dimensional impacts: A stated preference analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 12-26.
    55. 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.
    56. Snarr, Hal W. & Axelsen, Dan, 2007. "Accounting for peak shifting in traditional cost-benefit analysis," MPRA Paper 37060, University Library of Munich, Germany.
    57. Ji, Xiangfeng & Chu, Yanyu, 2020. "A target-oriented bi-attribute user equilibrium model with travelers’ perception errors on the tolled traffic network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    58. Iseki, Hiroyuki & Demisch, Alexander, 2012. "Examining the linkages between electronic roadway tolling technologies and road pricing policy objectives," Research in Transportation Economics, Elsevier, vol. 36(1), pages 121-132.
    59. Lin, Shihan & Spissu, Erika & Cirillo, Cinzia, 2024. "An analysis of travel behavior and willingness to pay on Express Lanes before and during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    60. Yanez-Pagans, Patricia & Martinez, Daniel & Mitnik, Oscar A. & Scholl, Lynn & Vazquez, Antonia, 2018. "Urban Transport Systems in Latin America and the Caribbean: Challenges and Lessons Learned," IZA Discussion Papers 11812, Institute of Labor Economics (IZA).
    61. Sang-Hyun Han & Woo-Hee Byun & Timothy Jeonglyeol Lee & Choong-Ki Lee, 2013. "Research Note: Travel Time as a Proxy for Travel Cost in a Heritage Tourist Destination," Tourism Economics, , vol. 19(6), pages 1467-1474, December.
    62. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "On the income elasticity of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 368-377.
    63. Patricia Yañez-Pagans & Daniel Martinez & Oscar A. Mitnik & Lynn Scholl & Antonia Vazquez, 2019. "Urban transport systems in Latin America and the Caribbean: lessons and challenges," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-25, December.
    64. Chen, Anthony & Zhou, Zhong, 2010. "The [alpha]-reliable mean-excess traffic equilibrium model with stochastic travel times," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 493-513, May.
    65. Espino, Raquel & de Dios Ortúzar, Juan & Román, Concepción, 2007. "Understanding suburban travel demand: Flexible modelling with revealed and stated choice data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 899-912, December.
    66. 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.
    67. Jang, Kitae & Cassidy, Michael J., 2012. "Dual influences on vehicle speed in special-use lanes and critique of US regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1108-1123.
    68. Huang‐Ting Yan & Yu‐Chin Hsu & Yu‐Hung Chang, 2022. "A multilevel analysis of the determinants of the attitude toward separate cycle paths in Taiwan," Social Science Quarterly, Southwestern Social Science Association, vol. 103(7), pages 1732-1749, December.
    69. Kockelman, Kara M. & Kalmanje, Sukumar, 2005. "Credit-based congestion pricing: a policy proposal and the public's response," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 671-690.
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    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. 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).
    3. 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.
    4. Hoyos Ramos, David, 2010. "Using discrete choice experiments for environmental valuation," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    5. 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.
    6. 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.
    7. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Are intrazonal trips ignorable?," Transport Policy, Elsevier, vol. 18(1), pages 13-22, January.
    8. 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.
    9. 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.
    10. Marcucci, Edoardo & Gatta, Valerio, 2011. "Regional airport choice: Consumer behaviour and policy implications," Journal of Transport Geography, Elsevier, vol. 19(1), pages 70-84.
    11. 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.
    12. 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.

  9. Brownstone, D. & Golob, T.F. & Kazimi, C., 1999. "Modeling Non-Ignorable Attrition and Measurement Error in Panel Surveys: An Application to Travel Demand Modeling," Papers 99-00-06, California Irvine - School of Social Sciences.

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    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.

  10. Brownstone, David & Bunch, David S & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," University of California Transportation Center, Working Papers qt45f996hh, University of California Transportation Center.

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    1. Danielis, Romeo & Rotaris, Lucia & Giansoldati, Marco & Scorrano, Mariangela, 2020. "Drivers’ preferences for electric cars in Italy. Evidence from a country with limited but growing electric car uptake," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 79-94.
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    11. 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.
    12. 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.
    13. 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).
    14. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    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.

  13. 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, 2011. "Computing Population Weights for the EFH Survey," Working Papers Central Bank of Chile 632, Central Bank of Chile.

  14. 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. 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).
    3. 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.
    4. Javier Escobal & Sonia Laszlo, 2005. "Measurement Error in Access to Markets," Development and Comp Systems 0503008, University Library of Munich, Germany.
    5. 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.
    6. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Suziedelyte, Agne & Johar, Meliyanni, 2013. "Can you trust survey responses? Evidence using objective health measures," Economics Letters, Elsevier, vol. 121(2), pages 163-166.
    12. 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.
    13. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    14. 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.
    15. Rodolphe Desbordes & Gary Koop, 2014. "The Known Unknowns of Governance," Working Paper series 38_14, Rimini Centre for Economic Analysis.
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    20. 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.
    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. 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.
    23. 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.
    24. Jörg-Peter Schräpler, 2004. "Respondent Behavior in Panel Studies," Sociological Methods & Research, , vol. 33(1), pages 118-156, August.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.

  15. Golob, Thomas F. & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soltani & Bunch, David, 1996. "Commercial Fleet Demand for Alternative-Fuel Vehicles in California," University of California Transportation Center, Working Papers qt6w21311n, University of California Transportation Center.

    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. Kluschke, Philipp & Uebel, Maren & Wietschel, Martin, 2019. "Alternative Antriebe im straßengebundenen Schwerlastverkehr: Eine quantitative Ermittlung der Nutzeranforderungen an schwere Lkw und deren Infrastruktur," Working Papers "Sustainability and Innovation" S05/2019, Fraunhofer Institute for Systems and Innovation Research (ISI).
    6. 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.
    7. 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.
    8. 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).
    9. 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).
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. 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.
    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. 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.
    21. 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.
    22. 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.
    23. 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.
    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.

  16. Brownstone, David & Bunch, David S & Golob, Thomas F & Ren, Weiping, 1996. "A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles," University of California Transportation Center, Working Papers qt3sm7w9zk, University of California Transportation Center.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Ye Feng & Don Fullerton & Li Gan, 2005. "Vehicle Choices, Miles Driven, and Pollution Policies," NBER Working Papers 11553, National Bureau of Economic Research, Inc.
    19. 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.
    20. 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.
    21. 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).
    22. Achtnicht, Martin & Bühler, Georg & Hermeling, Claudia, 2012. "Impact of service station networks on purchase decisions of alternative-fuel vehicles," ZEW Discussion Papers 08-088 [rev.], ZEW - Leibniz Centre for European Economic Research.
    23. 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).
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Fatemeh Nazari & Abolfazl Mohammadian & Thomas Stephens, 2023. "Exploring the Role of Perceived Range Anxiety in Adoption Behavior of Plug-in Electric Vehicles," Papers 2308.10313, arXiv.org.
    29. Brownstone, 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 qt45f996hh, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
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    43. Kiran Tomlinson & Johan Ugander & Austin R. Benson, 2021. "Choice Set Confounding in Discrete Choice," Papers 2105.07959, arXiv.org, revised Aug 2021.
    44. 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.
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  17. 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.

  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. 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 Thi Minh & Kompas, Tom, 2011. "On the Fixed-Effects Vector Decomposition," Political Analysis, Cambridge University Press, vol. 19(2), pages 123-134, April.
    2. 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.
    3. Ejaz Ahmed, S. & Fallahpour, Saber, 2012. "Shrinkage estimation strategy in quasi-likelihood models," Statistics & Probability Letters, Elsevier, vol. 82(12), pages 2170-2179.
    4. 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.
    5. 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.
    6. 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.
    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.

  20. 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. & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soltani & Bunch, David, 1996. "Commercial Fleet Demand for Alternative-Fuel Vehicles in California," University of California Transportation Center, Working Papers qt6w21311n, University of California Transportation Center.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Susanne Linder, 2011. "Spatial diffusion of electric vehicles in the German metropolitan region of Stuttgart," ERSA conference papers ersa11p557, European Regional Science Association.

  21. 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. 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.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. Wu, Jiyan & Tian, Ye & Sun, Jian, 2023. "Managing ridesharing with incentives in a bottleneck model," Research in Transportation Economics, Elsevier, vol. 101(C).
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Lambe, Thomas A., 1996. "Driver choice of parking in the city," Socio-Economic Planning Sciences, Elsevier, vol. 30(3), pages 207-219, September.
    25. 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.
    26. 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.
    27. 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.

  22. Brownstone, David, 1991. "Multiple Imputations for LInear Regression Models," University of California Transportation Center, Working Papers qt6rv6n3sd, University of California Transportation Center.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Robert Kaestner & Theodore Joyce & Hassan Wehbeh, 1996. "The Effect of Maternal Drug Use on Birth Weight: Measurement Error in Binary Variables," NBER Working Papers 5434, National Bureau of Economic Research, Inc.
    5. 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.

  23. 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. 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.
    7. 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.
    8. 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.
    9. 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.

Articles

  1. 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. Brownstone, David & Li, Phillip, 2018. "A model for broad choice data," Journal of choice modelling, Elsevier, vol. 27(C), pages 19-36.
    3. 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.
    4. 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.

  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.

    Cited by:

    1. 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).
    2. 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.
    3. 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. 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. 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.
  5. 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.
  6. 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. Akihiro Otsuka, 2018. "Population Agglomeration and Residential Energy Consumption: Evidence from Japan," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    2. 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.
    3. 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).
    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. 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.
    6. 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.
    7. 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.
    8. Proost, Stef & Van Dender, Kurt, 2012. "Energy and environment challenges in the transport sector," Economics of Transportation, Elsevier, vol. 1(1), pages 77-87.
    9. Legras, Sophie & Cavailhès, Jean, 2016. "Environmental performance of the urban form," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 1-11.
    10. Van Wee, Bert & Boarnet, Marlon, 2014. "Reaction to the paper Tempest in a Teapot: The exaggerated problem of transport-related residential self-selection as a source of error in empirical studies," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 81-86.
    11. Hixson, Mark & Mahmud, Abdullah & Hu, Jianlin & Bai, Song & Niemeier, Debbie A. & Handy, Susan L & Gao, Shengyi & Lund, Jay R & Sullivan, Dana C & Kleeman, M J, 2010. "Influence of Regional Development Policies and Clean Technology Adoption on Future Air Pollution Exposure," Institute of Transportation Studies, Working Paper Series qt64p3m31g, Institute of Transportation Studies, UC Davis.
    12. Zhao, Congyu & Wang, Jianda & Dong, Kangyin & Wang, Kun, 2023. "How does renewable energy encourage carbon unlocking? A global case for decarbonization," Resources Policy, Elsevier, vol. 83(C).
    13. Kim, Jinwon, 2012. "Endogenous vehicle-type choices in a monocentric city," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 749-760.
    14. Holian, Matthew J., 2020. "The impact of urban form on vehicle ownership," Economics Letters, Elsevier, vol. 186(C).
    15. Mohammed Aljoufie, 2021. "The Impact Assessment of Increasing Population Density on Jeddah Road Transportation Using Spatial-Temporal Analysis," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    16. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Berliner, Rosaria M & Lee, Yongsung & Fulton, Lew & Mokhtarian, Patricia L & Handy , Susan, 2017. "What Affects Millennials’ Mobility? PART II: The Impact of Residential Location, Individual Preferences and Lifestyles on Young Adults’ Travel Behavior in California," Institute of Transportation Studies, Working Paper Series qt5kc117kj, Institute of Transportation Studies, UC Davis.
    17. Rainald Borck & Philipp Schrauth, 2022. "Urban Pollution: A Global Perspective," CESifo Working Paper Series 10171, CESifo.
    18. Selima Sultana & Nastaran Pourebrahim & Hyojin Kim, 2018. "Household Energy Expenditures in North Carolina: A Geographically Weighted Regression Approach," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    19. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2014. "Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 441-473, July.
    20. Mats Ekman, 2022. "Advance voting and political competition," Constitutional Political Economy, Springer, vol. 33(1), pages 53-66, March.
    21. Hilber, Christian A. L. & Palmer, Charles, 2014. "Urban development and air pollution: evidence from a globalpanel of cities," LSE Research Online Documents on Economics 61791, London School of Economics and Political Science, LSE Library.
    22. Liang Guo & Wenjun Cheng & Chang Liu & Qinghao Zhang & Shuo Yang, 2023. "Exploring the Spatial Heterogeneity and Influence Factors of Daily Travel Carbon Emissions in Metropolitan Areas: From the Perspective of the 15-min City," Land, MDPI, vol. 12(2), pages 1-22, January.
    23. André de Palma & Alexandre Guimard, 2014. "Urbanism, an overview," Working Papers hal-00969574, HAL.
    24. 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).
    25. GAIGNE, Carl & RIOU, Stéphane & THISSE, Jacques François, 2012. "Are compact cities environmentally friendly?," LIDAM Reprints CORE 2404, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    26. Winston, Clifford & Yan, Jia, 2021. "Vehicle size choice and automobile externalities: A dynamic analysis," Journal of Econometrics, Elsevier, vol. 222(1), pages 196-218.
    27. Matthew J. Holian & Matthew E. Kahn, 2013. "The Rise of the Low Carbon Consumer City," NBER Working Papers 18735, National Bureau of Economic Research, Inc.
    28. Ding, Chuan & Cao, Xinyu, 2019. "How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model," Journal of Transport Geography, Elsevier, vol. 75(C), pages 37-45.
    29. Rentziou, Aikaterini & Gkritza, Konstantina & Souleyrette, Reginald R., 2012. "VMT, energy consumption, and GHG emissions forecasting for passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 487-500.
    30. Ortuño-Padilla, Armando & Fernández-Aracil, Patricia, 2013. "Impact of fuel price on the development of the urban sprawl in Spain," Journal of Transport Geography, Elsevier, vol. 33(C), pages 180-187.
    31. Yin, Yanhong & Mizokami, Shoshi & Aikawa, Kohei, 2015. "Compact development and energy consumption: Scenario analysis of urban structures based on behavior simulation," Applied Energy, Elsevier, vol. 159(C), pages 449-457.
    32. 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.
    33. Bindong Sun & Tinglin Zhang & Zhou He & Rui Wang, 2017. "Urban Spatial Structure And Motorization In China," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 470-486, June.
    34. Guerra, Erick Strom, 2013. "The New Suburbs: Evolving travel behavior, the built environment, and subway investments in Mexico City," University of California Transportation Center, Working Papers qt88t7k9p5, University of California Transportation Center.
    35. William Larson & Anthony M. Yezer, 2015. "The Energy Implications of City Size and Density," Working Papers 2015-15, The George Washington University, Institute for International Economic Policy.
    36. Circella, Giovanni & Tiedeman, Kate & Handy, Susan & Alemi, Farzad & Mokhtarian, Patricia, 2016. "What Affects U.S. Passenger Travel? Current Trends and Future Perspectives," Institute of Transportation Studies, Working Paper Series qt2w16b8bf, Institute of Transportation Studies, UC Davis.
    37. Koster, Hans & Ostermeijer, Francis & van Ommeren, Jos & Mayland Nielsen, Victor, 2020. "Automobiles and urban density," CEPR Discussion Papers 14717, C.E.P.R. Discussion Papers.
    38. Nazari, Fatemeh & Mohammadian, Abolfazl (Kouros), 2023. "Modeling vehicle-miles of travel accounting for latent heterogeneity," Transport Policy, Elsevier, vol. 133(C), pages 45-53.
    39. Zahabi, Seyed Amir H. & Miranda-Moreno, Luis & Patterson, Zachary & Barla, Philippe, 2015. "Spatio-temporal analysis of car distance, greenhouse gases and the effect of built environment: A latent class regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 1-13.
    40. Niu, Honglei & Lekse, William, 2017. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics Discussion Papers 2017-62, Kiel Institute for the World Economy (IfW Kiel).
    41. Tscharaktschiew, Stefan & Hirte, Georg, 2010. "The drawbacks and opportunities of carbon charges in metropolitan areas -- A spatial general equilibrium approach," Ecological Economics, Elsevier, vol. 70(2), pages 339-357, December.
    42. Rémi Lemoy & Charles Raux & Pablo Jensen, 2016. "Exploring the polycentric city with multi-worker households: an agent-based microeconomic model," Post-Print hal-00602087, HAL.
    43. Morikawa, Masayuki, 2012. "Population density and efficiency in energy consumption: An empirical analysis of service establishments," Energy Economics, Elsevier, vol. 34(5), pages 1617-1622.
    44. Steven Spears & Marlon G Boarnet & Douglas Houston, 2017. "Driving reduction after the introduction of light rail transit: Evidence from an experimental-control group evaluation of the Los Angeles Expo Line," Urban Studies, Urban Studies Journal Limited, vol. 54(12), pages 2780-2799, September.
    45. Meng Zhou & Donggen Wang, 2019. "Investigating inter-generational changes in activity-travel behavior: a disaggregate approach," Transportation, Springer, vol. 46(5), pages 1643-1687, October.
    46. Heres-Del-Valle, David & Niemeier, Deb, 2011. "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 150-161, January.
    47. Li, Shanjun & Kahn, Matthew E. & Nickelsburg, Jerry, 2015. "Public transit bus procurement: The role of energy prices, regulation and federal subsidies," Journal of Urban Economics, Elsevier, vol. 87(C), pages 57-71.
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  7. 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.
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  9. 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.
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  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. 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.
    3. 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.
    4. Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
    5. 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.
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    10. Caplan, Arthur J. & Akhundjanov, Sherzod B. & Toll, Kristopher, 2021. "Measuring heterogeneous preferences for residential amenities," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    11. 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.
    12. 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).
    13. 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.
    14. Hoyos Ramos, David, 2010. "Using discrete choice experiments for environmental valuation," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
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    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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).
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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(1), pages 1-26, February.
    40. 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.
    41. 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.
    42. 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.
    43. 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).
    44. 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.
    45. Smirnov, Oleg A., 2010. "Modeling spatial discrete choice," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 292-298, September.
    46. 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.
    47. 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.
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    49. 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.
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  12. 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.

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    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. 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.
    4. 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.
    5. Seung-Hyun Lee & Kyeungrae Oh & Lorraine Eden, 2010. "Why Do Firms Bribe?," Management International Review, Springer, vol. 50(6), pages 775-796, December.
    6. 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.
    7. 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.).
    8. 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.
    9. Geir Gustavsen & Kyrre Rickertsen, 2014. "Consumer cohorts and purchases of nonalcoholic beverages," Empirical Economics, Springer, vol. 46(2), pages 427-449, March.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. Emmanuel Flachaire, 2005. "Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap," Post-Print halshs-00175910, HAL.
    16. 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.
    17. 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).
    18. 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.
    19. He, Yang & Bartalotti, Otávio, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," ISU General Staff Papers 202005010700001071, Iowa State University, Department of Economics.
    20. Fairlie, Robert W & Robb, Alicia, 2005. "Families, Human Capital, and Small Business: Evidence from the Characteristics of Business Owners Survey," Santa Cruz Department of Economics, Working Paper Series qt6td6x9ht, Department of Economics, UC Santa Cruz.
    21. 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.
    22. Torben Klarl, 2014. "Is Spatial Bootstrapping A Panacea For Valid Inference?," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 304-312, March.
    23. Fairlie, Robert W & Robb, Alicia M., 2005. "Why Are Black-Owned Businesses Less Successful than White-Owned Businesses? The Role of Families, Inheritances, and Business Human Capital," Santa Cruz Department of Economics, Working Paper Series qt5gk2188g, Department of Economics, UC Santa Cruz.
    24. 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.
    25. 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.
    26. Hutchens, Robert, 2010. "Worker characteristics, job characteristics, and opportunities for phased retirement," Labour Economics, Elsevier, vol. 17(6), pages 1010-1021, December.
    27. 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.
    28. 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.
    29. Dioikitopoulos, Evangelos V. & Minos, Dimitrios & Vandoros, Sotiris, 2020. "The (Agri-)Cultural origins of obesity," Social Science & Medicine, Elsevier, vol. 244(C).
    30. Tamini, Lota D., 2009. "Agri-Environment Advisory Activities Effects on Best Management Practices Adoption," MPRA Paper 18961, University Library of Munich, Germany.
    31. 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.
    32. Steve Bazen & Julie Le Gallo, 2009. "The state-federal dichotomy in the effects of minimum wages on teenage employment in the United States," Post-Print hal-00485041, HAL.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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).
    40. 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.
    41. Benavides Guillermo, 2020. "Asymmetric Volatility Effects in Risk Management: An Empirical Analysis using a Stock Index Futures," Working Papers 2020-10, Banco de México.
    42. Bofinger, Peter & Scheuermeyer, Philipp, 2016. "Income Distribution and Aggregate Saving: A Non-Monotonic Relationship," CEPR Discussion Papers 11435, C.E.P.R. Discussion Papers.
    43. Rodrigo Mariscal & Andrew Powell, 2012. "Forecasting Inflation Risks in Latin America: A Technical Note," Research Department Publications 4785, Inter-American Development Bank, Research Department.
    44. 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.
    45. 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).
    46. Gina Yannitell Reinhardt, 2009. "Matching Donors and Nonprofits," Journal of Theoretical Politics, , vol. 21(3), pages 283-309, July.
    47. 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, April.
    48. 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.
    49. 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).
    50. 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.
    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.

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  18. 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.
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  19. 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.

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    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.).
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    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.
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    Cited by:

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