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Roger Hans von Haefen

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Antonio M. Bento & Lawrence H. Goulder & Mark R. Jacobsen & Roger H. von Haefen, 2009. "Distributional and Efficiency Impacts of Increased US Gasoline Taxes," American Economic Review, American Economic Association, vol. 99(3), pages 667-699, June.

    Mentioned in:

    1. Distributional and Efficiency Impacts of Increased US Gasoline Taxes (AER 2009) in ReplicationWiki ()
  2. Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009. "How Do Gasoline Prices Affect Fleet Fuel Economy?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.

    Mentioned in:

    1. How Do Gasoline Prices Affect Fleet Fuel Economy? (American Economic Journal: Economic Policy 2009) in ReplicationWiki ()

Working papers

  1. Lupi, Frank & von Haefen, Roger H. & Cheng, Li, 2021. "Distributional Effects of Entry Fees and Taxation for Financing Public Beaches," CEnREP Working Papers 340055, North Carolina State University, Department of Agricultural and Resource Economics.

    Cited by:

    1. Boudreaux, Greg & Lupi, Frank & Sohngen, Brent & Xu, Alan, 2023. "Measuring beachgoer preferences for avoiding harmful algal blooms and bacterial warnings," Ecological Economics, Elsevier, vol. 204(PA).

  2. Dundas, Steven J. & von Haefen, Roger H., 2019. "The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate," CEnREP Working Papers 283949, North Carolina State University, Department of Agricultural and Resource Economics.

    Cited by:

    1. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    2. Hashida, Yukiko & Lewis, David J., 2022. "Estimating welfare impacts of climate change using a discrete-choice model of land management: An application to western U.S. forestry," Resource and Energy Economics, Elsevier, vol. 68(C).
    3. Nathan W. Chan & Casey J. Wichman, 2020. "Climate Change and Recreation: Evidence from North American Cycling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(1), pages 119-151, May.
    4. Linsenmeier, Manuel, 2024. "Global variation in the preferred temperature for recreational outdoor activity," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
    5. Xi, Chen & Xie, Wei & Chen, Xiaoguang & He, Pan, 2023. "Weather shocks and movie recreation demand in China," Energy Economics, Elsevier, vol. 127(PB).
    6. David Boto‐García & Antonio Alvarez & José Baños, 2021. "Modelling heterogeneous preferences for nature‐based tourism trips," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1625-1653, December.
    7. Gellman, Jacob & Walls, Margaret A. & Wibbenmeyer, Matthew, 2023. "Welfare Losses from Wildfire Smoke: Evidence from Daily Outdoor Recreation Data," RFF Working Paper Series 23-31, Resources for the Future.
    8. Ing-Marie Gren & Kerstin Holmgren & Willem Goedkoop, 2023. "Fishing motives and economic effects of climate change: an application on Arctic char in northern Sweden," Journal of Bioeconomics, Springer, vol. 25(3), pages 203-223, December.
    9. Till Baldenius & Nicolas Koch & Hannah Klauber & Nadja Klein, 2023. "Heat increases experienced racial segregation in the United States," Papers 2306.13772, arXiv.org.
    10. Steven J. Dundas & Roger H. von Haefen, 2021. "The importance of data structure and nonlinearities in estimating climate impacts on outdoor recreation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2053-2075, July.
    11. Trudy Ann Cameron & Sonja H. Kolstoe, 2022. "Using Auxiliary Population Samples for Sample-Selection Correction in Models Based on Crowd-Sourced Volunteered Geographic Information," Land Economics, University of Wisconsin Press, vol. 98(1), pages 1-21.
    12. Piotr Próchniak & Agnieszka Próchniak, 2023. "Adventure Recreation in Blue Spaces and the Wellbeing of Young Polish Adults," IJERPH, MDPI, vol. 20(5), pages 1-16, March.
    13. Fezzi, Carlo & Ford, Derek J. & Oleson, Kirsten L.L., 2023. "The economic value of coral reefs: Climate change impacts and spatial targeting of restoration measures," Ecological Economics, Elsevier, vol. 203(C).

  3. Casey J. Wichman & Laura O. Taylor & Roger H. von Haefen, 2014. "Conservation Policies: Who Responds to Price and Who Responds to Prescription?," NBER Working Papers 20466, National Bureau of Economic Research, Inc.

    Cited by:

    1. Grant D. Jacobsen, 2019. "An Examination of How Energy Efficiency Incentives Are Distributed Across Income Groups," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    2. Stefano Clò & Tommaso Reggiani & Sabrina Ruberto, 2024. "Consumption Feedback and Water Saving: A Field Intervention Evaluation in the Metropolitan Area of Milan," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(9), pages 2259-2308, September.
    3. Li, Li & Jeuland, Marc, 2023. "Household water savings and response to dynamic incentives under nonlinear pricing," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    4. Daniel A. Brent & Corey Lott & Michael Taylor & Joseph Cook & Kimberly Rollins & Shawn Stoddard, 2020. "What Causes Heterogeneous Responses to Social Comparison Messages for Water Conservation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(3), pages 503-537, November.
    5. Wang, Xiangrui & Lee, Jukwan & Yan, Jia & Thompson, Gary D., 2018. "Testing the behavior of rationally inattentive consumers in a residential water market," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 344-359.
    6. Brelsford, Christa & Abbott, Joshua K., 2021. "How smart are ‘Water Smart Landscapes’?," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    7. El-Khattabi, Ahmed Rachid & Eskaf, Shadi & Isnard, Julien P. & Lin, Laurence & McManus, Brian & Yates, Andrew J., 2021. "Heterogeneous responses to price: Evidence from residential water consumers," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    8. Wang, Jingjing & Chermak, Janie M., 2021. "Is less always more? Conservation, efficiency and water education programs," Ecological Economics, Elsevier, vol. 184(C).
    9. Boogen, Nina & Datta, Souvik & Filippini, Massimo, 2021. "Estimating residential electricity demand: New empirical evidence," Energy Policy, Elsevier, vol. 158(C).
    10. Scheihing, Konstantin W. & Tanner, Jane & Weaver, Matthew & Schöniger, Matthias, 2020. "A strategy to enhance management of free basic water via communal taps in South Africa," Utilities Policy, Elsevier, vol. 64(C).
    11. Goetz, Alexander & Mayr, Harald & Schubert, Renate, 2024. "One thing leads to another: Evidence on the scope and persistence of behavioral spillovers," Journal of Public Economics, Elsevier, vol. 236(C).
    12. Bruno, Ellen & Jessoe, Katrina K., 2018. "Groundwater, Incomplete Regulation, and Climate Change: Micro-level Evidence on the Price Elasticity of Demand for Agricultural Groundwater," 2018 Annual Meeting, August 5-7, Washington, D.C. 274430, Agricultural and Applied Economics Association.
    13. Browne, Oliver R. & Gazze, Ludovica & Greenstone, Michael & Rostapshova, Olga, 2022. "Man vs. Machine : Technological Promise and Political Limits of Automated Regulation Enforcement," CAGE Online Working Paper Series 646, Competitive Advantage in the Global Economy (CAGE).
    14. Jaime Torres, Mónica M. & Carlsson, Fredrik, 2018. "Direct and spillover effects of a social information campaign on residential water-savings," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 222-243.
    15. Justin Contat & Caroline Hopkins & Luis Mejia & Matthew Suandi, 2023. "When Climate Meets Real Estate: A Survey of the Literature," FHFA Staff Working Papers 23-05, Federal Housing Finance Agency.
    16. Michael O'Donnell & Robert P. Berrens, 2018. "Understanding Falling Municipal Water Demand in a Small City Dependent on the Declining Ogallala Aquifer: Case Study of Clovis, New Mexico," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-40, October.
    17. Edwards, Eric & Sutherland, Sara A. & Thayer, Anastasia W., 2023. "Teaching Price Elasticity of Demand and Marginal Analysis using Household Water Pricing," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(3), September.
    18. Hyojae Jung & Chanjin Chung, 2024. "Consumers’ WTP for Sustainability Turfgrass Attributes with Consideration of Aesthetic Attributes and Water Conservation Policies," Agriculture, MDPI, vol. 14(1), pages 1-16, January.
    19. Oliver R. Browne & Ludovica Gazze & Michael Greenstone, 2020. "Do Conservation Policies Work? Evidence from Residential Water Use," NBER Chapters, in: Environmental and Energy Policy and the Economy, volume 2, pages 190-225, National Bureau of Economic Research, Inc.
    20. Mónica Maldonado-Devis & Vicent Almenar-Llongo, 2024. "A Quantile Regression Approach to the Heterogeneity in Price Elasticity of Domestic Water Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(12), pages 4851-4866, September.
    21. Wichman, Casey J., 2016. "Information Provision and Consumer Behavior: A Natural Experiment in Billing Frequency," RFF Working Paper Series dp-15-35-rev, Resources for the Future.
    22. Soliman, Adam, 2022. "Prescriptive drought policy and water supplier compliance," Ecological Economics, Elsevier, vol. 197(C).
    23. Chiradip Chatterjee & Nafisa Halim & Pallab Mozumder, 2021. "Emission Tax, Health Insurance, and Information: A Mechanism Design for Reducing Energy Consumption and Emission Risk," Economics of Disasters and Climate Change, Springer, vol. 5(3), pages 465-480, October.
    24. Bruno, Ellen M. & Jessoe, Katrina, 2021. "Missing markets: Evidence on agricultural groundwater demand from volumetric pricing," Journal of Public Economics, Elsevier, vol. 196(C).
    25. Pratt, Bryan, 2023. "A fine is more than a price: Evidence from drought restrictions," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    26. Chiradip Chatterjee & Nafisa Halim & Pallab Mozumder, 2022. "Energy conservation and health risk reduction: an experimental investigation of punishing vs. rewarding incentives," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(4), pages 551-570, October.
    27. Juhee Lee & Mehdi Nemati & Ariel Dinar, 2022. "Historical trends of residential water use in California: Effects of droughts and conservation policies," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 511-530, March.
    28. Steven Buck & Mehdi Nemati & David Sunding, 2023. "Consumer welfare consequences of the California drought conservation mandate," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 510-533, March.
    29. Irwin, Nicholas B. & McCoy, Shawn J. & McDonough, Ian K., 2021. "Water in the time of corona(virus): The effect of stay-at-home orders on water demand in the desert," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    30. Erik Ansink & Carmine Ornaghi & Mirco Tonin, 2021. "Technology vs information to promote conservation: Evidence from water audits," Tinbergen Institute Discussion Papers 21-014/VIII, Tinbergen Institute.
    31. Masserini Lucio & Romano Giulia & Corsini Lorenzo, 2018. "Investigating Attitudes towards Water Savings, Price Increases, and Willingness to Pay among Italian University Students," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 4123-4138, September.
    32. Pratt, Bryan, 2020. "Property Tenure and Determinants of Sensitivity to Price and Non-Price Conservation Instruments," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304283, Agricultural and Applied Economics Association.
    33. Wichman, Casey J., 2014. "Perceived price in residential water demand: Evidence from a natural experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 308-323.
    34. Smith, Steven M., 2022. "The effects of individualized water rates on use and equity," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    35. Homsy, George C. & Warner, Mildred E., 2020. "Does public ownership of utilities matter for local government water policies?," Utilities Policy, Elsevier, vol. 64(C).
    36. Bruno, Ellen M. & Jessoe, Katrina K. & Hanemann, Michael, 2023. "The Dynamic Impacts of Pricing Groundwater," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2mx8q1td, Department of Agricultural & Resource Economics, UC Berkeley.
    37. Mónica Maldonado-Devis & Vicent Almenar-Llongo, 2021. "A Panel Data Estimation of Domestic Water Demand with IRT Tariff Structure: The Case of the City of Valencia (Spain)," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    38. Holladay, Scott & LaRiviere, Jacob & Novgorodsky, David & Price, Michael, 2019. "Prices versus nudges: What matters for search versus purchase of energy investments?," Journal of Public Economics, Elsevier, vol. 172(C), pages 151-173.
    39. Yarela Flores Arévalo & Roberto D. Ponce Oliva & Francisco J. Fernández & Felipe Vásquez-Lavin, 2021. "Sensitivity of Water Price Elasticity Estimates to Different Data Aggregation Levels," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 2039-2052, April.
    40. Dronyk-Trosper Trey & Stitzel Brandli, 2020. "Analyzing the Effect of Mandatory Water Restrictions on Water Usage," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-13, April.
    41. J. Scott Holladay & Jacob LaRiviere & David M. Novgorodsky & Michael Price, 2016. "Asymmetric Effects of Non-Pecuniary Signals on Search and Purchase Behavior for Energy-Efficient Durable Goods," NBER Working Papers 22939, National Bureau of Economic Research, Inc.
    42. Stefano Clò & Tommaso Reggiani & Sabrina Ruberto, 2023. "Consumption feedback and water saving: An experiment in the metropolitan area of Milan," MUNI ECON Working Papers 2023-02, Masaryk University, revised Aug 2024.
    43. Wichman, Casey J. & Ferraro, Paul J., 2017. "A cautionary tale on using panel data estimators to measure program impacts," Economics Letters, Elsevier, vol. 151(C), pages 82-90.
    44. Wichman, Casey, 2024. "Efficiency, Equity, and Cost-Recovery Trade-Offs in Municipal Water Pricing," RFF Working Paper Series 24-18, Resources for the Future.

  4. Shanjun Li & Roger von Haefen & Christopher Timmins, 2008. "How Do Gasoline Prices Affect Fleet Fuel Economy?," NBER Working Papers 14450, National Bureau of Economic Research, Inc.

    Cited by:

    1. Cristian Huse & Claudio Lucinda, 2014. "The Market Impact and the Cost of Environmental Policy: Evidence from the Swedish Green Car Rebate," Economic Journal, Royal Economic Society, vol. 124(578), pages 393-419, August.
    2. Yusuke Matsuki, 2016. "A Distribution-Free Test of Monotonicity with an Application to Auctions," Working Papers e110, Tokyo Center for Economic Research.
    3. Linn, Joshua, 2013. "The Rebound Effect for Passenger Vehicles," RFF Working Paper Series dp-13-19, Resources for the Future.
    4. Xu, Jiayi & Tan-Soo, Jie-Sheng & Chu, Yanlai & Zhang, Xiao-Bing, 2023. "Gasoline price and fuel economy of new automobiles: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 126(C).
    5. Pernille Parmer, 2014. "Hydropower Policy and Energy Saving Incentives," Working Paper Series 16014, Department of Economics, Norwegian University of Science and Technology.
    6. Givord, Pauline & Grislain-Letrémy, Céline & Naegele, Helene, 2018. "How do fuel taxes impact new car purchases? An evaluation using French consumer-level data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 74, pages 76-96.
    7. Li, Shanjun & Linn, Joshua & Muehlegger, Erich, 2012. "Gasoline Taxes and Consumer Behavior," Working Paper Series rwp12-006, Harvard University, John F. Kennedy School of Government.
    8. Anne Kesselring, 2023. "Willingness-to-Pay for Energy Efficiency: Evidence from the European Common Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(4), pages 893-945, December.
    9. Don Fullerton & Erich Muehlegger, 2019. "Who Bears the Economic Burdens of Environmental Regulations?," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(1), pages 62-82.
    10. Alberini, Anna & Bareit, Markus & Filippini, Massimo & Martinez-Cruz, Adan L., 2018. "The impact of emissions-based taxes on the retirement of used and inefficient vehicles: The case of Switzerland," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 234-258.
    11. Verboven, Frank & Grigolon, Laura & Reynaert, Mathias, 2014. "Consumer valuation of fuel costs and the effectiveness of tax policy: Evidence from the European car market," CEPR Discussion Papers 10301, C.E.P.R. Discussion Papers.
    12. Fran�ois Cohen & Matthieu Glachant & Magnus S�derberg, 2015. "The impact of energy prices on energy efficiency: Evidence from the UK refrigerator market," GRI Working Papers 179, Grantham Research Institute on Climate Change and the Environment.
    13. Shanjun Li & Chao Wei, 2016. "The Cost of Greening Stimulus: A Dynamic Discrete Choice Analysis of Vehicle Scrappage Programs," Working Papers 2016-25, The George Washington University, Institute for International Economic Policy.
    14. Christiane Baumeister & Lutz Kilian & Thomas K. Lee, 2016. "Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump," CESifo Working Paper Series 5759, CESifo.
    15. Michael Anderson & Maximilian Auffhammer, 2011. "Pounds that Kill: The External Costs of Vehicle Weight," NBER Working Papers 17170, National Bureau of Economic Research, Inc.
    16. Christopher R. Knittel & Ryan Sandler, 2010. "Carbon Prices and Automobile Greenhouse Gas Emissions: The Extensive and Intensive Margins," NBER Working Papers 16482, National Bureau of Economic Research, Inc.
    17. Azarafshar, Roshanak & Vermeulen, Wessel N., 2020. "Electric vehicle incentive policies in Canadian provinces," Energy Economics, Elsevier, vol. 91(C).
    18. Jeon, Hocheol, 2014. "Does obesity matter for the Environment? Evidence from Vehicle Choices and Driving," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170550, Agricultural and Applied Economics Association.
    19. Mark Hoekstra & Steven L. Puller & Jeremy West, 2014. "Cash for Corollas: When Stimulus Reduces Spending," NBER Working Papers 20349, National Bureau of Economic Research, Inc.
    20. Hennessy, Hugh & Tol, Richard S. J., 2010. "The Impact of Tax Reform on New Car Purchases in Ireland," Papers WP349, Economic and Social Research Institute (ESRI).
    21. Antonio M. Bento & Jonathan E. Hughes & Daniel T. Kaffine, 2012. "Carpooling and Driver Responses to Fuel Price Changes: Evidence from Traffic Flows in Los Angeles," Working Papers 2012-06, Colorado School of Mines, Division of Economics and Business.
    22. H. Spencer Banzhaf & Taha Kasim, 2016. "Fuel Consumption and Gasoline Prices: The Role of Assortative Matching between Households and Automobiles," NBER Working Papers 22983, National Bureau of Economic Research, Inc.
    23. Yalta, A. Talha & Yalta, A. Yasemin, 2016. "The dynamics of fuel demand and illegal fuel activity in Turkey," Energy Economics, Elsevier, vol. 54(C), pages 144-158.
    24. Wolff, Hendrik, 2012. "Value of Time: Speeding Behavior and Gasoline Prices," IZA Discussion Papers 6788, Institute of Labor Economics (IZA).
    25. Yizao Liu, 2010. "Gasoline Prices, Fuel Economy Efficiency And Automobile Replacement Dynamics," Working Papers 02, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    26. Hunt Allcott & Jean-Nathan Wozny, 2010. "Gasoline Prices, Fuel Economy, and the Energy Paradox," Working Papers 1003, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
    27. Zsuzsanna Csereklyei & David I. Stern, 2018. "Flying more efficiently: joint impacts of fuel prices, capital costs and fleet size on airline fleet fuel economy," CCEP Working Papers 1810, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    28. Shanjun Li, 2012. "Traffic safety and vehicle choice: quantifying the effects of the ‘arms race’ on American roads," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(1), pages 34-62, January.
    29. Ashley Langer & Nathan H. Miller, 2008. "Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy," EAG Discussions Papers 200811, Department of Justice, Antitrust Division.
    30. Miravete, Eugenio & Moral, Maria, 2009. "Qualitative Effects of Cash-For-Clunkers Programs," CEPR Discussion Papers 7517, C.E.P.R. Discussion Papers.
    31. 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.
    32. Boehm, Michael J., 2013. "Concentration versus re-matching? Evidence about the locational effects of commuting costs," LSE Research Online Documents on Economics 51542, London School of Economics and Political Science, LSE Library.
    33. Christopher R. Knittel, 2012. "Reducing Petroleum Consumption from Transportation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 93-118, Winter.
    34. Pessoa, João Paulo & Rezende, Leonardo & Assunção, Juliano, 2019. "Flex cars and competition in fuel retail markets," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 145-184.
    35. Nicholas Rivers & Brandon Schaufele, 2017. "New vehicle feebates," Canadian Journal of Economics, Canadian Economics Association, vol. 50(1), pages 201-232, February.
    36. Aydin, Erdal, 2016. "Energy conservation in the residential sector : The role of policy and market forces," Other publications TiSEM b9cedba8-1310-4097-90fb-b, Tilburg University, School of Economics and Management.
    37. Michael J. Roberts & Wolfram Schlenker, 2013. "Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate," American Economic Review, American Economic Association, vol. 103(6), pages 2265-2295, October.
    38. Michael J. Boehm, 2013. "Concentration Versus Re-Matching? Evidence About the Locational Effects of Commuting Costs," CEP Discussion Papers dp1207, Centre for Economic Performance, LSE.
    39. Elizabeth C. Klee & Adair Morse & Chaehee Shin, 2024. "Auto Finance in the Electric Vehicle Transition," Finance and Economics Discussion Series 2024-065, Board of Governors of the Federal Reserve System (U.S.).
    40. Greene, David L. & Sims, Charles B. & Muratori, Matteo, 2020. "Two trillion gallons: Fuel savings from fuel economy improvements to US light-duty vehicles, 1975–2018," Energy Policy, Elsevier, vol. 142(C).
    41. Du, Xiaodong & Carriquiry, Miguel A., 2013. "Flex-fuel vehicle adoption and dynamics of ethanol prices: lessons from Brazil," Energy Policy, Elsevier, vol. 59(C), pages 507-512.
    42. Hunt Allcott & Sendhil Mullainathan & Dmitry Taubinsky, 2012. "Energy Policy with Externalities and Internalities," NBER Working Papers 17977, National Bureau of Economic Research, Inc.
    43. Elisheba Spiller & Heather Stephens & Christopher Timmins & Allison Smith, 2014. "The Effect of Gasoline Taxes and Public Transit Investments on Driving Patterns," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 633-657, December.
    44. Raven Molloy & Hui Shan, 2010. "The effect of gasoline prices on household location," Working Papers 2010/28, Institut d'Economia de Barcelona (IEB).
    45. Soren T. Anderson & Ryan Kellogg & James M. Sallee, 2011. "What Do Consumers Believe About Future Gasoline Prices?," NBER Working Papers 16974, National Bureau of Economic Research, Inc.
    46. Liu, Yizao, 2010. "Gasoline Prices, Fuel Economy Efficiency And Automobile Replacement Dynamics," Working Paper series 148290, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    47. Huang, Robert & Kahn, Matthew E., 2023. "An economic analysis of United States public transit carbon emissions dynamics," Regional Science and Urban Economics, Elsevier, vol. 103(C).
    48. Christopher R. Knittel & Shinsuke Tanaka, 2019. "Driving Behavior and the Price of Gasoline: Evidence from Fueling-Level Micro Data," NBER Working Papers 26488, National Bureau of Economic Research, Inc.
    49. Li, Shanjun & Liu, Yanyan & Zhang, Junjie, 2011. "Lose some, save some: Obesity, automobile demand, and gasoline consumption," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 52-66, January.
    50. Mahlia, T.M.I. & Tohno, S. & Tezuka, T., 2012. "History and current status of the motor vehicle energy labeling and its implementation possibilities in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 1828-1844.
    51. Coyle, David & DeBacker, Jason & Prisinzano, Richard, 2012. "Estimating the supply and demand of gasoline using tax data," Energy Economics, Elsevier, vol. 34(1), pages 195-200.
    52. Small, Kenneth A., 2012. "Energy policies for passenger motor vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 874-889.
    53. Sallee, James M. & West, Sarah E. & Fan, Wei, 2016. "Do consumers recognize the value of fuel economy? Evidence from used car prices and gasoline price fluctuations," Journal of Public Economics, Elsevier, vol. 135(C), pages 61-73.
    54. Robert G. Hammond, 2013. "Sudden Unintended Used‐Price Deceleration? The 2009–2010 Toyota Recalls," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(1), pages 78-100, March.
    55. Spiller, Elisheba & Stephens, Heather M. & Timmins, Christopher & Smith, Allison, 2012. "Does the Substitutability of Public Transit Affect Commuters’ Response to Gasoline Price Changes?," RFF Working Paper Series dp-12-29, Resources for the Future.
    56. Sun, Qi & Xu, Lin & Yin, Hua, 2016. "Energy pricing reform and energy efficiency in China: Evidence from the automobile market," Resource and Energy Economics, Elsevier, vol. 44(C), pages 39-51.
    57. Madowitz, M. & Novan, K., 2013. "Gasoline taxes and revenue volatility: An application to California," Energy Policy, Elsevier, vol. 59(C), pages 663-673.
    58. Shanjun Li, 2018. "Better Lucky Than Rich? Welfare Analysis of Automobile Licence Allocations in Beijing and Shanghai," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2389-2428.
    59. François Cohen & Matthieu Glachant & Magnus Söderberg, 2017. "Consumer myopia, imperfect competition and the energy efficiency gap: Evidence from the UK refrigerator market," Post-Print hal-01693866, HAL.
    60. Aydin, Erdal & Brounen, Dirk & Kok, Nils, 2020. "The capitalization of energy efficiency: Evidence from the housing market," Journal of Urban Economics, Elsevier, vol. 117(C).
    61. James M. Sallee, 2014. "Rational Inattention and Energy Efficiency," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 781-820.
    62. Baghestani, Hamid, 2019. "An analysis of vehicle-buying attitudes of US consumers," Research in Transportation Economics, Elsevier, vol. 75(C), pages 62-68.
    63. Rivers, Nicholas & Schaufele, Brandon, 2017. "Gasoline price and new vehicle fuel efficiency: Evidence from Canada," Energy Economics, Elsevier, vol. 68(C), pages 454-465.
    64. Mattioli, Giulio & Wadud, Zia & Lucas, Karen, 2018. "Vulnerability to fuel price increases in the UK: A household level analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 227-242.
    65. Verde, Stefano F. & Di Cosmo, Valeria, 2024. "A dynamic carbon tax on gasoline," MPRA Paper 120485, University Library of Munich, Germany.
    66. Huse, Cristian, 2014. "Fast and Furious (and Dirty): How Asymmetric Regulation May Hinder Environmental Policy," MPRA Paper 48909, University Library of Munich, Germany.
    67. Johannes Mauritzen, 2023. "With great power (prices) comes great tail pipe emissions? \\ A natural experiment of electricity prices and electric car adoption," Papers 2304.01709, arXiv.org.
    68. Bruno De Borger & Ismir Mulalic & Jan Rouwendal, 2013. "Substitution between Cars within the Household," Tinbergen Institute Discussion Papers 13-158/VIII, Tinbergen Institute.
    69. Dou, Xiaoya & Linn, Joshua, 2020. "How do US passenger vehicle fuel economy standards affect new vehicle purchases?," Journal of Environmental Economics and Management, Elsevier, vol. 102(C).
    70. Matthew E. Kahn & Randall Walsh, 2014. "Cities and the Environment," NBER Working Papers 20503, National Bureau of Economic Research, Inc.
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    2. 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.
    3. Adam T. Jones, 2016. "Mileage tax, property tax, sales tax, or fee: the best way to pay for commercial infrastructure that isn’t free," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(1), pages 81-98, February.
    4. W. Ross Morrow & Steven J. Skerlos, 2011. "Fixed-Point Approaches to Computing Bertrand-Nash Equilibrium Prices Under Mixed-Logit Demand," Operations Research, INFORMS, vol. 59(2), pages 328-345, April.
    5. David Klenert & Gregor Schwerhoff & Ottmar Edenhofer & Linus Mattauch, 2018. "Environmental Taxation, Inequality and Engel’s Law: The Double Dividend of Redistribution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 605-624, November.
    6. Timilsina, Govinda R. & Dulal, Hari B., 2008. "Fiscal policy instruments for reducing congestion and atmospheric emissions in the transport sector : a review," Policy Research Working Paper Series 4652, The World Bank.
    7. Ashley Langer & Nathan H. Miller, 2008. "Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy," EAG Discussions Papers 200811, Department of Justice, Antitrust Division.
    8. Claudio Agostini, 2009. "Incidencia Tributaria en el Mercado de las Gasolinas en Chile," ILADES-UAH Working Papers inv223, Universidad Alberto Hurtado/School of Economics and Business.
    9. Elisheba Spiller & Heather Stephens & Christopher Timmins & Allison Smith, 2014. "The Effect of Gasoline Taxes and Public Transit Investments on Driving Patterns," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 633-657, December.
    10. Spiller, Elisheba & Stephens, Heather M. & Timmins, Christopher & Smith, Allison, 2012. "Does the Substitutability of Public Transit Affect Commuters’ Response to Gasoline Price Changes?," RFF Working Paper Series dp-12-29, Resources for the Future.
    11. Abdelkrim Araar & Yazid Dissou & Jean-Yves Duclos, 2008. "Household Incidence of Pollution Control Policies: a Robust Welfare Analysis Using General Equilibrium Effects," Cahiers de recherche 0809, CIRPEE.
    12. Agostini, Claudio A. & Jiménez, Johanna, 2015. "The distributional incidence of the gasoline tax in Chile," Energy Policy, Elsevier, vol. 85(C), pages 243-252.
    13. Isabelle Sin & Emma Brunton & Joanna Hendy & Suzi Kerr, 2005. "The likely regional impacts of an agricultural emissions policy in New Zealand: Preliminary analysis," Others 0509010, University Library of Munich, Germany.
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    15. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    16. Eliasson, Jonas & Pyddoke, Roger & Swärdh, Jan-Erik, 2018. "Distributional effects of taxes on car fuel, use, ownership and purchases," Economics of Transportation, Elsevier, vol. 15(C), pages 1-15.
    17. Claudio Agostini, 2010. "Efectos del Diferencial de Impuestos a las Gasolinas en la Demanda de Automóviles," ILADES-UAH Working Papers inv243, Universidad Alberto Hurtado/School of Economics and Business.
    18. Schwerhoff, Gregor & Nguyen, Thang Dao & Edenhofer, Ottmar & Grimalda, Gianluca & Jakob, Michael & Klenert, David & Siegmeier, Jan, 2017. "Policy options for a socially balanced climate policy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-11.
    19. Richard Blundell & Joel L. Horowitz & Matthias Parey, 2009. "Measuring the price responsiveness of gasoline demand," CeMMAP working papers CWP11/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Bureau, Benjamin, 2011. "Distributional effects of a carbon tax on car fuels in France," Energy Economics, Elsevier, vol. 33(1), pages 121-130, January.
    21. Gimenez-Nadal, José Ignacio & Molina, José Alberto, 2019. "Green Commuting and Gasoline Taxes in the United States," IZA Discussion Papers 12377, Institute of Labor Economics (IZA).
    22. Lampin, Laure B.A. & Nadaud, Franck & Grazi, Fabio & Hourcade, Jean-Charles, 2013. "Long-term fuel demand: Not only a matter of fuel price," Energy Policy, Elsevier, vol. 62(C), pages 780-787.
    23. Eliasson, Jonas, 2019. "Distributional effects of congestion charges and fuel taxes," MPRA Paper 94328, University Library of Munich, Germany.
    24. Nazneen Ferdous & Abdul Pinjari & Chandra Bhat & Ram Pendyala, 2010. "A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data," Transportation, Springer, vol. 37(3), pages 363-390, May.

  7. Antonio M Bento & Lawrence H Goulder & Emeric Henry & Mark R Jacobsen & Roger H. Von Haefen, 2005. "Distributional and efficiency Impacts of gasoline taxes: an econometrically based multi-market study," SciencePo Working papers Main hal-01045097, HAL.

    Cited by:

    1. Ian W.H. Parry & Hilary Sigman & Margaret Walls & Roberton C. Williams III, 2005. "The Incidence of Pollution Control Policies," NBER Working Papers 11438, National Bureau of Economic Research, Inc.
    2. 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.
    3. Adam T. Jones, 2016. "Mileage tax, property tax, sales tax, or fee: the best way to pay for commercial infrastructure that isn’t free," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(1), pages 81-98, February.
    4. W. Ross Morrow & Steven J. Skerlos, 2011. "Fixed-Point Approaches to Computing Bertrand-Nash Equilibrium Prices Under Mixed-Logit Demand," Operations Research, INFORMS, vol. 59(2), pages 328-345, April.
    5. David Klenert & Gregor Schwerhoff & Ottmar Edenhofer & Linus Mattauch, 2018. "Environmental Taxation, Inequality and Engel’s Law: The Double Dividend of Redistribution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 605-624, November.
    6. Timilsina, Govinda R. & Dulal, Hari B., 2008. "Fiscal policy instruments for reducing congestion and atmospheric emissions in the transport sector : a review," Policy Research Working Paper Series 4652, The World Bank.
    7. Ashley Langer & Nathan H. Miller, 2008. "Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy," EAG Discussions Papers 200811, Department of Justice, Antitrust Division.
    8. Claudio Agostini, 2009. "Incidencia Tributaria en el Mercado de las Gasolinas en Chile," ILADES-UAH Working Papers inv223, Universidad Alberto Hurtado/School of Economics and Business.
    9. Elisheba Spiller & Heather Stephens & Christopher Timmins & Allison Smith, 2014. "The Effect of Gasoline Taxes and Public Transit Investments on Driving Patterns," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 633-657, December.
    10. Spiller, Elisheba & Stephens, Heather M. & Timmins, Christopher & Smith, Allison, 2012. "Does the Substitutability of Public Transit Affect Commuters’ Response to Gasoline Price Changes?," RFF Working Paper Series dp-12-29, Resources for the Future.
    11. Abdelkrim Araar & Yazid Dissou & Jean-Yves Duclos, 2008. "Household Incidence of Pollution Control Policies: a Robust Welfare Analysis Using General Equilibrium Effects," Cahiers de recherche 0809, CIRPEE.
    12. Agostini, Claudio A. & Jiménez, Johanna, 2015. "The distributional incidence of the gasoline tax in Chile," Energy Policy, Elsevier, vol. 85(C), pages 243-252.
    13. Isabelle Sin & Emma Brunton & Joanna Hendy & Suzi Kerr, 2005. "The likely regional impacts of an agricultural emissions policy in New Zealand: Preliminary analysis," Others 0509010, University Library of Munich, Germany.
    14. Brozovic, Nicholas & Ando, Amy Whritenour, 2009. "Defensive purchasing, the safety (dis)advantage of light trucks, and motor-vehicle policy effectiveness," Transportation Research Part B: Methodological, Elsevier, vol. 43(5), pages 477-493, June.
    15. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    16. Eliasson, Jonas & Pyddoke, Roger & Swärdh, Jan-Erik, 2018. "Distributional effects of taxes on car fuel, use, ownership and purchases," Economics of Transportation, Elsevier, vol. 15(C), pages 1-15.
    17. Claudio Agostini, 2010. "Efectos del Diferencial de Impuestos a las Gasolinas en la Demanda de Automóviles," ILADES-UAH Working Papers inv243, Universidad Alberto Hurtado/School of Economics and Business.
    18. Schwerhoff, Gregor & Nguyen, Thang Dao & Edenhofer, Ottmar & Grimalda, Gianluca & Jakob, Michael & Klenert, David & Siegmeier, Jan, 2017. "Policy options for a socially balanced climate policy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-11.
    19. Richard Blundell & Joel L. Horowitz & Matthias Parey, 2009. "Measuring the price responsiveness of gasoline demand," CeMMAP working papers CWP11/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Bureau, Benjamin, 2011. "Distributional effects of a carbon tax on car fuels in France," Energy Economics, Elsevier, vol. 33(1), pages 121-130, January.
    21. Gimenez-Nadal, José Ignacio & Molina, José Alberto, 2019. "Green Commuting and Gasoline Taxes in the United States," IZA Discussion Papers 12377, Institute of Labor Economics (IZA).
    22. Lampin, Laure B.A. & Nadaud, Franck & Grazi, Fabio & Hourcade, Jean-Charles, 2013. "Long-term fuel demand: Not only a matter of fuel price," Energy Policy, Elsevier, vol. 62(C), pages 780-787.
    23. Eliasson, Jonas, 2019. "Distributional effects of congestion charges and fuel taxes," MPRA Paper 94328, University Library of Munich, Germany.
    24. Nazneen Ferdous & Abdul Pinjari & Chandra Bhat & Ram Pendyala, 2010. "A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data," Transportation, Springer, vol. 37(3), pages 363-390, May.

  8. von Haefen, Roger H. & Adamowicz, Wiktor L., 2003. "Not Playing The Game: Non-Particpation In Repeated Discrete Choice Models," 2003 Annual meeting, July 27-30, Montreal, Canada 22037, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Zanni, Alberto M. & Davidova, Sophia & Bailey, Alastair, 2006. "Analysis of Vocational and Residential Preferences of Rural Population: Application of an Experimental Technique to Rural Slovenia," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25534, International Association of Agricultural Economists.

  9. von Haefen, Roger H., 2000. "Incorporating Observed Choice In The Construction Of Welfare Measures From Random Utility Models," 2000 Annual meeting, July 30-August 2, Tampa, FL 21836, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Francisco Javier Amador & Rosa Marina González & Juan de Dios Ortúzar, 2004. "Preference heterogeneity and willingness to pay for travel time," Documentos de trabajo conjunto ULL-ULPGC 2004-12, Facultad de Ciencias Económicas de la ULPGC.
    2. Min Qiang Zhao & Ju-Chin Huang, 2018. "The Representative Consumer Approximation Bias in Discrete Choice Welfare Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 969-984, December.
    3. Paramita Sinha & Maureen L. Cropper & Martha Caulkins, 2015. "Household Location Decisions and the Value of Climate Amenities," NBER Working Papers 21826, National Bureau of Economic Research, Inc.
    4. Boeri, Marco & Scarpa, Riccardo & Chorus, Caspar G., 2014. "Stated choices and benefit estimates in the context of traffic calming schemes: Utility maximization, regret minimization, or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 121-135.
    5. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    6. Hocheol Jeon & Joseph A. Herriges, 2017. "Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1053-1086, December.
    7. André de Palma & Karim Kilani, 2009. "Transition choice probabilities and welfare in ARUM's," Working Papers hal-00417493, HAL.
    8. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    9. Vincenzina Caputo & Rodolfo M. Nayga Jr & Riccardo Scarpa, 2013. "Food miles or carbon emissions? Exploring labelling preference for food transport footprint with a stated choice study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 465-482, October.
    10. Delle Site, Paolo & Salucci, Marco Valerio, 2013. "Transition choice probabilities and welfare analysis in random utility models with imperfect before–after correlation," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 215-242.
    11. Schueftan, Alejandra & Aravena, Claudia & Reyes, René, 2021. "Financing energy efficiency retrofits in Chilean households: The role of financial instruments, savings and uncertainty in energy transition," Resource and Energy Economics, Elsevier, vol. 66(C).
    12. Carol Mansfield & Daniel J. Phaneuf & F. Reed Johnson & Jui-Chen Yang & Robert Beach, 2008. "Preferences for Public Lands Management under Competing Uses: The Case of Yellowstone National Park," Land Economics, University of Wisconsin Press, vol. 84(2), pages 282-305.
    13. H. Allen Klaiber & Roger H. von Haefen, 2019. "Do Random Coefficients and Alternative Specific Constants Improve Policy Analysis? An Empirical Investigation of Model Fit and Prediction," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 75-91, May.
    14. De Borger, Bruno & Mayeres, Inge, 2007. "Optimal taxation of car ownership, car use and public transport: Insights derived from a discrete choice numerical optimization model," European Economic Review, Elsevier, vol. 51(5), pages 1177-1204, July.
    15. Egan, Kevin J. & Herriges, Joseph A. & Kling, Catherine L. & Downing, John A., 2009. "Valuing Water Quality as a Function of Water Quality Measures," ISU General Staff Papers 200901010800001393, Iowa State University, Department of Economics.
    16. de Jong, Gerard & Daly, Andrew & Pieters, Marits & van der Hoorn, Toon, 2007. "The logsum as an evaluation measure: Review of the literature and new results," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 874-889, November.
    17. A. de Palma & K. Kilani, 2003. "Compensating Variation for Discrete Choice Models," THEMA Working Papers 2003-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    18. Melstrom, Richard T. & Lupi, Frank, 2013. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149732, Agricultural and Applied Economics Association.
    19. 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.
    20. Kuwayama, Yusuke & Olmstead, Sheila & Zheng, Jiameng, 2022. "A more comprehensive estimate of the value of water quality," Journal of Public Economics, Elsevier, vol. 207(C).
    21. Cerquera Dussán, Daniel & Ullrich, Hannes, 2010. "Consumer welfare and unobserved heterogeneity in discrete choice models: The value of alpine road tunnels," ZEW Discussion Papers 10-095, ZEW - Leibniz Centre for European Economic Research.
    22. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
    23. Wenquan Liang & Ran Song & Christopher Timmins, 2020. "Frictional Sorting," NBER Working Papers 27643, National Bureau of Economic Research, Inc.
    24. Franceschinis, Cristiano & Thiene, Mara & Scarpa, Riccardo & Rose, John & Moretto, Michele & Cavalli, Raffaele, 2017. "Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory," Energy, Elsevier, vol. 125(C), pages 313-326.
    25. von Haefen, Roger H. & Adamowicz, Wiktor L., 2003. "Not Playing The Game: Non-Particpation In Repeated Discrete Choice Models," 2003 Annual meeting, July 27-30, Montreal, Canada 22037, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    26. Aravena, Claudia & Martinsson, Peter & Scarpa, Riccardo, 2014. "Does money talk? — The effect of a monetary attribute on the marginal values in a choice experiment," Energy Economics, Elsevier, vol. 44(C), pages 483-491.
    27. von Haefen, Roger H. & Phaneuf, Daniel J., 2008. "Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 19-32, July.
    28. Cristiano Franceschinis & Riccardo Scarpa & Mara Thiene & John Rose & Michele Moretto & Raffaele Cavalli, 2016. "Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems," Energies, MDPI, vol. 9(6), pages 1-19, May.
    29. Sobhani, Anae & Eluru, Naveen & Faghih-Imani, Ahmadreza, 2013. "A latent segmentation based multiple discrete continuous extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 154-169.
    30. Kuriyama, Koichi & Michael Hanemann, W. & Hilger, James R., 2010. "A latent segmentation approach to a Kuhn-Tucker model: An application to recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 209-220, November.
    31. Aaron Strong & V. Kerry Smith, 2010. "Reconsidering the Economics of Demand Analysis with Kinked Budget Constraints," Land Economics, University of Wisconsin Press, vol. 86(1), pages 173-190.
    32. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
    33. Lea Nicita & W. Douglass Shaw & Giovanni Signorello, 2018. "Valuing the Benefits of Rock Climbing and the Welfare Gains from Decreasing Injury Risk," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2258-2274, November.
    34. Kevin J. Egan & Joseph A. Herriges & Catherine L. Kling & John A. Downing, 2004. "Recreation Demand Using Physical Measures of Water Quality," Center for Agricultural and Rural Development (CARD) Publications 04-wp372, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    35. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    36. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
    37. von Haefen, Roger H., 2007. "Empirical strategies for incorporating weak complementarity into consumer demand models," Journal of Environmental Economics and Management, Elsevier, vol. 54(1), pages 15-31, July.
    38. Cropper, Maureen L. & Isaac, William, 2011. "The Benefits of Achieving the Chesapeake Bay TMDLs (Total Maximum Daily Loads): A Scoping Study," RFF Working Paper Series dp-11-31, Resources for the Future.
    39. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.

  10. Smith, V. Kerry & von Haefen, Roger H., 1997. "Welfare Measurement and Representative Consumer Theory," Discussion Papers 10646, Resources for the Future.

    Cited by:

    1. Lee, Jeongdong & Repkine, Alexandre & Hwang, Seogwon & Kim, Taiyoo, 2004. "Estimating Consumers’ Willingness to Pay for the Individual Quality Attributes with DEA," MPRA Paper 7848, University Library of Munich, Germany.
    2. Smith, V. Kerry, 2000. "JEEM and Non-market Valuation: 1974-1998," Journal of Environmental Economics and Management, Elsevier, vol. 39(3), pages 351-374, May.

Articles

  1. Frank Lupi & Roger H. von Haefen & Li Cheng, 2022. "Distributional Effects of Entry Fees and Taxation for Financing Public Beaches," Land Economics, University of Wisconsin Press, vol. 98(3), pages 509-519.
    See citations under working paper version above.
  2. Frank Lupi & Daniel J. Phaneuf & Roger H. von Haefen, 2020. "Best Practices for Implementing Recreation Demand Models," Review of Environmental Economics and Policy, University of Chicago Press, vol. 14(2), pages 302-323.

    Cited by:

    1. Dai, Peichao & Zhang, Shaoliang & Gong, Yunlong & Zhou, Yuan & Hou, Huping, 2022. "A crowd-sourced valuation of recreational ecosystem services using mobile signal data applied to a restored wetland in China," Ecological Economics, Elsevier, vol. 192(C).
    2. John N. Ng’ombe & B. Wade Brorsen, 2022. "The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 71-97, June.
    3. Patrick Lloyd-Smith & Ewa Zawojska, 2024. "How stable and predictable are welfare estimates using recreation demand models?," Working Papers 2024-05, Faculty of Economic Sciences, University of Warsaw.
    4. Anne T. Byrne & David R. Just, 2023. "What is free food worth? A nonmarket valuation approach to estimating the welfare effects of food pantry services," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1063-1087, August.
    5. James Macaskill & Patrick Lloyd‐Smith, 2022. "Six decades of environmental resource valuation in Canada: A synthesis of the literature," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(1), pages 73-89, March.
    6. Boudreaux, Greg & Lupi, Frank & Sohngen, Brent & Xu, Alan, 2023. "Measuring beachgoer preferences for avoiding harmful algal blooms and bacterial warnings," Ecological Economics, Elsevier, vol. 204(PA).
    7. Randriamaro, Mary Tiana & Cook, Joseph, 2022. "The value of time, with and without a smartphone," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 138-146.
    8. Paul Hindsley & O. Ashton Morgan & John C. Whitehead, 2022. "Combining Revealed and Stated Preference Models for Artificial Reef Siting: A Study in the Florida Keys," Working Papers 22-05, Department of Economics, Appalachian State University.
    9. Tobias Börger & Anna Maccagnan & Mathew P. White & Lewis R. Elliott & Tim Taylor, 2023. "Was the trip worth it? Consistency between decision and experienced utility assessments of recreational nature visits," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 525-545, March.
    10. Scheufele, Gabriela & Pascoe, Sean, 2023. "Ecosystem accounting: Reconciling consumer surplus and exchange values for free-access recreation," Ecological Economics, Elsevier, vol. 212(C).
    11. Swait, J. & de Bekker-Grob, E.W., 2022. "A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment," Journal of Health Economics, Elsevier, vol. 85(C).
    12. Merrill, Nathaniel & Mazzotta, Marisa J. & Mulvaney, Kate K. & Sawyer, Joshua Paul & Twichell, Julia & Atkinson, Sarina F. & Keith, Darryl & Erban, Laura, 2022. "The Value of Water Quality for Coastal Recreation in New England, USA," SocArXiv q2mg3, Center for Open Science.
    13. Gellman, Jacob & Walls, Margaret A. & Wibbenmeyer, Matthew, 2023. "Welfare Losses from Wildfire Smoke: Evidence from Daily Outdoor Recreation Data," RFF Working Paper Series 23-31, Resources for the Future.
    14. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    15. Ceccacci, Alberto & Lopes, Ana Faria & Mulazzani, Luca & Malorgio, Giulio, 2024. "Recreation in coastal environments: Estimating the non-market value of fishing harbors," Ecological Economics, Elsevier, vol. 221(C).
    16. Xie, Lusi & Adamowicz, Wiktor & Lloyd-Smith, Patrick, 2023. "Spatial and temporal responses to incentives: An application to wildlife disease management," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    17. Paul Hindsley & Craig E. Landry & Kurt Schnier & John C. Whitehead & Mohammadreza Zarei, 2021. "Joint Estimation of Revealed Preference Site Selection and Stated Preference Choice Experiment Recreation Data Considering Attribute NonAttendance," Working Papers 21-10, Department of Economics, Appalachian State University.
    18. Xie, Lusi & Adamowicz, Wiktor & Kecinski, Maik & Fooks, Jacob R., 2022. "Using economic experiments to assess the validity of stated preference contingent behavior responses," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).

  3. Steven J. Dundas & Roger H. von Haefen, 2020. "The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(2), pages 209-242.
    See citations under working paper version above.
  4. H. Allen Klaiber & Roger H. von Haefen, 2019. "Do Random Coefficients and Alternative Specific Constants Improve Policy Analysis? An Empirical Investigation of Model Fit and Prediction," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 75-91, May.

    Cited by:

    1. Stefano Mainardi, 2021. "Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers’ climate adaptation in Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6869-6912, May.
    2. David Boto‐García & Antonio Alvarez & José Baños, 2021. "Modelling heterogeneous preferences for nature‐based tourism trips," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1625-1653, December.
    3. Juan M. Gonzalez Sepulveda & F. Reed Johnson & Deborah A. Marshall, 2021. "Incomplete information and irrelevant attributes in stated‐preference values for health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2637-2648, November.
    4. Howard, Gregory & Whitehead, John C. & Hochard, Jacob, 2021. "Estimating discount rates using referendum-style choice experiments: An analysis of multiple methodologies," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    5. Ulrich B. Morawetz & H. Allen Klaiber, 2022. "Does housing policy impact income sorting near urban amenities? Evidence from Vienna, Austria," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 411-454, October.
    6. Gregory Howard & John C. Whitehead & Jacob Hochard, 2020. "Estimating Discount Rates Using Referendum-style Choice Experiments: An Analysis of Multiple Methods," Working Papers 20-01, Department of Economics, Appalachian State University.

  5. Eric English & Joseph A Herriges & Frank Lupi & Kenneth McConnell & Roger H von Haefen, 2019. "Fixed Costs and Recreation Value," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(4), pages 1082-1097.

    Cited by:

    1. 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.

  6. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.

    Cited by:

    1. Frith, Michael J., 2019. "Modelling taste heterogeneity regarding offence location choices," Journal of choice modelling, Elsevier, vol. 33(C).
    2. Hicks, Robert L. & Holland, Daniel S. & Kuriyama, Peter T. & Schnier, Kurt E., 2020. "Choice sets for spatial discrete choice models in data rich environments," Resource and Energy Economics, Elsevier, vol. 60(C).
    3. Salmai Qari & Tobias Börger & Tim Lohse & Jürgen Meyerhoff, 2023. "The Value of National Defense: Assessing Public Preferences for Defense Policy Options," CESifo Working Paper Series 10872, CESifo.
    4. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2021. "Labour supply, service intensity, and contracts: Theory and evidence on physicians," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03426996, HAL.
    5. John N. Ng’ombe & B. Wade Brorsen, 2022. "The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 71-97, June.
    6. Patrick Bigler & Doina Maria Radulescu, 2022. "Environmental, Redistributive and Revenue Effects of Policies Promoting Fuel Efficient and Electric Vehicles," CESifo Working Paper Series 9645, CESifo.
    7. Nobel, Anne & Lizin, Sebastien & Witters, Nele & Rineau, Francois & Malina, Robert, 2020. "The impact of wildfires on the recreational value of heathland: A discrete factor approach with adjustment for on-site sampling," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    8. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
    9. Ng'ombe, John, 2019. "Economics of the Greenseeder Hand Planter, Discrete Choice Modeling, and On-Farm Field Experimentation," Thesis Commons jckt7, Center for Open Science.
    10. Mariel, Petr & Artabe, Alaitz, 2020. "Interpreting correlated random parameters in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).

  7. Steven J. Dundas & Roger H. von Haefen & Carol Mansfield, 2018. "Recreation Costs of Endangered Species Protection: Evidence from Cape Hatteras National Seashore," Marine Resource Economics, University of Chicago Press, vol. 33(1), pages 1-25.

    Cited by:

    1. Steven J. Dundas & Roger H. von Haefen, 2020. "The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(2), pages 209-242.
    2. Chen, Wei & Wolf, David M. & Gopalakrishnan, Sathya & Haab, Timothy C. & Klaiber, Allen, 2018. "The Impact of HABs on Recreational Visits to Lake Erie," 2018 Annual Meeting, August 5-7, Washington, D.C. 274026, Agricultural and Applied Economics Association.
    3. Richardson, Leslie, 2022. "The Economic Benefits of Wildlife: The Case of Brown Bears in Alaska," Western Economics Forum, Western Agricultural Economics Association, vol. 20(1), May.
    4. Steven J. Dundas & Roger H. von Haefen, 2021. "The importance of data structure and nonlinearities in estimating climate impacts on outdoor recreation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2053-2075, July.

  8. 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.

    Cited by:

    1. Joffre Swait & Cristiano Franceschinis & Mara Thiene, 2020. "Antecedent Volition and Spatial Effects: Can Multiple Goal Pursuit Mitigate Distance Decay?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 243-270, February.
    2. Amy W. Ando, 2022. "Equity and Cost-Effectiveness in Valuation and Action Planning to Preserve Biodiversity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(4), pages 999-1015, December.
    3. Brown, Zachary Steven, 2022. "Distributional policy impacts, WTP-WTA disparities, and the Kaldor-Hicks tests in benefit-cost analysis," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    4. Casola, William R. & Peterson, M. Nils & Pacifici, Krishna & Sills, Erin O. & Moorman, Christopher E., 2023. "Conservation motivations and willingness to pay for wildlife management areas among recreational user groups," Land Use Policy, Elsevier, vol. 132(C).
    5. Beland, Louis-Philippe & Oloomi, Sara, 2019. "Environmental disaster, pollution and infant health: Evidence from the Deepwater Horizon oil spill," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    6. V Kerry Smith & W. Douglass Shaw & Michael P. Welsh & Chris Dixon & Lisa Donald, 2022. "A New Strategy for Benefits Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 155-178, January.
    7. Ando, Amy W. & Cadavid, Catalina Londoño & Netusil, Noelwah R. & Parthum, Bryan, 2020. "Willingness-to-volunteer and stability of preferences between cities: Estimating the benefits of stormwater management," Journal of Environmental Economics and Management, Elsevier, vol. 99(C).
    8. Li, Liqing & Long, Dede, 2024. "Who values urban community gardens and how much?," Food Policy, Elsevier, vol. 126(C).
    9. Kolstoe, Sonja & Naald, Brian Vander & Cohan, Alison, 2022. "A tale of two samples: Understanding WTP differences in the age of social media," Ecosystem Services, Elsevier, vol. 55(C).
    10. Gellman, Jacob & Walls, Margaret A. & Wibbenmeyer, Matthew, 2023. "Welfare Losses from Wildfire Smoke: Evidence from Daily Outdoor Recreation Data," RFF Working Paper Series 23-31, Resources for the Future.
    11. Henríquez, Makarena & Vásquez-Lavín, Felipe & Barrientos, Manuel & Ponce Oliva, Roberto D. & Lara, Antonio & Flores-Benner, Gabriela & Riquelme, Carlos, 2024. "Out of sight, not out of mind: The effect of access to conservation sites on the willingness to pay for protecting endangered species," Ecological Economics, Elsevier, vol. 224(C).
    12. Steven J. Dundas & Roger H. von Haefen, 2021. "The importance of data structure and nonlinearities in estimating climate impacts on outdoor recreation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2053-2075, July.
    13. Xie, Lusi & Adamowicz, Wiktor & Lloyd-Smith, Patrick, 2023. "Spatial and temporal responses to incentives: An application to wildlife disease management," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    14. Alexandra L. Egan & B. Louise Chilvers & Sue Cassells, 2024. "Expected direct costs of an oil spill in a UNESCO World Heritage area in New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 68(3), pages 608-627, July.

  9. Wichman, Casey J. & Taylor, Laura O. & von Haefen, Roger H., 2016. "Conservation policies: Who responds to price and who responds to prescription?," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 114-134.
    See citations under working paper version above.
  10. Van Houtven, George & Mansfield, Carol & Phaneuf, Daniel J. & von Haefen, Roger & Milstead, Bryan & Kenney, Melissa A. & Reckhow, Kenneth H., 2014. "Combining expert elicitation and stated preference methods to value ecosystem services from improved lake water quality," Ecological Economics, Elsevier, vol. 99(C), pages 40-52.

    Cited by:

    1. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2024. "Omitted downstream attributes and the benefits of nutrient reductions: Implications for choice experiments," Ecological Economics, Elsevier, vol. 222(C).
    2. Robert J. Johnston & Elena Y. Besedin & Benedict M. Holland, 2019. "Modeling Distance Decay Within Valuation Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(3), pages 657-690, March.
    3. Chris Moore & Dennis Guignet & Kelly B. Maguire & Chris Dockins & Nathalie B. Simon, 2015. "A Stated Preference Study of the Chesapeake Bay and Watershed Lakes," NCEE Working Paper Series 201506, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Nov 2015.
    4. Nelson, Nanette M. & Loomis, John B. & Jakus, Paul M. & Kealy, Mary J. & von Stackelburg, Nicholas & Ostermiller, Jeff, 2015. "Linking ecological data and economics to estimate the total economic value of improving water quality by reducing nutrients," Ecological Economics, Elsevier, vol. 118(C), pages 1-9.
    5. Shokhrukh-Mirzo Jalilov, 2017. "Value of Clean Water Resources: Estimating the Water Quality Improvement in Metro Manila, Philippines," Resources, MDPI, vol. 7(1), pages 1-15, December.
    6. Hackbart, Vivian C.S. & de Lima, Guilherme T.N.P. & dos Santos, Rozely F., 2017. "Theory and practice of water ecosystem services valuation: Where are we going?," Ecosystem Services, Elsevier, vol. 23(C), pages 218-227.
    7. Wendong Zhang & Brent Sohngen, 2018. "Do US Anglers Care about Harmful Algal Blooms? A discrete choice experiment of Lake Erie recreational anglers," Center for Agricultural and Rural Development (CARD) Publications 17-wp573, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    8. Catherine L. Kling & Daniel J. Phaneuf, 2018. "How are Scope and Adding up Relevant for Benefits Transfer?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 483-502, March.
    9. Cloé Garnache & Scott M. Swinton & Joseph A. Herriges & Frank Lupi & R. Jan Stevenson, 2016. "Solving the Phosphorus Pollution Puzzle: Synthesis and Directions for Future Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(5), pages 1334-1359.
    10. Ranjan, Ram, 2019. "A forestry-based PES mechanism for enhancing the sustainability of Chilika Lake through reduced siltation loading," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    11. Seojeong Oh & Benjamin M. Gramig, 2023. "Valuing Ecosystem Services and Downstream Water Quality Improvement in the U.S. Corn Belt," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 823-872, August.
    12. Suifeng Zhang & Wang Zhang & Canhua Liu, 2023. "Research on Value Evaluation and Impact Mechanism of Water Ecological Services in Mountainous Cities: A Case Study of Xiangxi Prefecture," Sustainability, MDPI, vol. 15(2), pages 1-13, January.
    13. Mueller, Hannah & Hamilton, David P. & Doole, Graeme J., 2016. "Evaluating services and damage costs of degradation of a major lake ecosystem," Ecosystem Services, Elsevier, vol. 22(PB), pages 370-380.
    14. Penn, Jerrod & Hu, Wuyang & Ye, Tao, 2024. "Efficacy of hypothetical bias mitigation techniques: A cross-country comparison," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    15. Newbold, Stephen C. & Johnston, Robert J., 2020. "Valuing non-market valuation studies using meta-analysis: A demonstration using estimates of willingness-to-pay for water quality improvements," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    16. Pamela Kaval & Marjan van den Belt, 2017. "The Organizing Framework of Ecosystem Services and its use in River Management," Working Papers in Economics 17/22, University of Waikato.
    17. Lindley, Sarah & Albeke, Shannon & Viers, Joshua & Parsons, George & Johnston, Robert & Newbold, Stephen C., 2022. "Valuing Satellite Data for Harmful Algal Bloom Early Warning Systems," RFF Working Paper Series 22-23, Resources for the Future.
    18. Patrick J. Walsh & J. Walter Milon, 2016. "Nutrient Standards, Water Quality Indicators, and Economic Benefits from Water Quality Regulations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 643-661, August.
    19. Søren B. Olsen & Cathrine U. Jensen & Toke E. Panduro, 2020. "Modelling Strategies for Discontinuous Distance Decay in Willingness to Pay for Ecosystem Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 351-386, February.
    20. Wainger, L. & Loomis, J. & Johnston, R. & Hansen, L. & Carlisle, D. & Lawrence, D. & Gollehon, N. & Duriancik, L. & Schwartz, G. & Ribaudo, M. & Gala, C., 2017. "Ecosystem Service Benefits Generated by Improved Water Quality from Conservation Practices," C-FARE Reports 260679, Council on Food, Agricultural, and Resource Economics (C-FARE).
    21. Hutchens, Andrew & Scrogin, David, 2024. "Effects of residential self-taxing districts on urban surface water quality," Ecological Economics, Elsevier, vol. 224(C).
    22. Jensen, Anne Kejser, 2019. "A Structured Approach to Attribute Selection in Economic Valuation Studies: Using Q-methodology," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    23. Keeler, Bonnie L. & Wood, Spencer A. & Polasky, Stephen & Kling, Catherine L. & Filstrup, Christopher T. & Downing, John A., 2015. "Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes," ISU General Staff Papers 201501290800001557, Iowa State University, Department of Economics.
    24. Martínez-Cruz, Adán L. & Juárez-Torres, Miriam & Guerrero, Santiago, 2017. "Assessing Impacts From Climate Change on Local Social-ecological Systems in Contexts Where Information is Lacking: An Expert Elicitation in the Bolivian Altiplano," Ecological Economics, Elsevier, vol. 137(C), pages 70-82.
    25. Robert J. Johnston & Elena Y. Besedin & Ryan Stapler, 2017. "Enhanced Geospatial Validity for Meta-analysis and Environmental Benefit Transfer: An Application to Water Quality Improvements," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 343-375, October.
    26. Kroetz, Kailin & Kuwayama, Yusuke & Vexler, Caroline, 2019. "What is a Fish Out of Water? The Economics Behind the Joint Management of Water Resources and Aquatic Species in the United States," RFF Working Paper Series 19-09, Resources for the Future.

  11. Klaus Moeltner & Roger von Haefen, 2011. "Microeconometric Strategies for Dealing with Unobservables and Endogenous Variables in Recreation Demand Models," Annual Review of Resource Economics, Annual Reviews, vol. 3(1), pages 375-396, October.

    Cited by:

    1. David A. Keiser, 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," Center for Agricultural and Rural Development (CARD) Publications 18-wp581, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. David A. Keiser & Joseph S. Shapiro, 2017. "Consequences of the Clean Water Act and the Demand for Water Quality," NBER Working Papers 23070, National Bureau of Economic Research, Inc.
    3. 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.
    4. H. Allen Klaiber & Roger H. von Haefen, 2019. "Do Random Coefficients and Alternative Specific Constants Improve Policy Analysis? An Empirical Investigation of Model Fit and Prediction," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 75-91, May.
    5. Richard T. Melstrom & Deshamithra H. W. Jayasekera, 2017. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," Land Economics, University of Wisconsin Press, vol. 93(2), pages 328-341.
    6. Melstrom, Richard T. & Lupi, Frank, 2013. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149732, Agricultural and Applied Economics Association.
    7. Kuwayama, Yusuke & Olmstead, Sheila & Zheng, Jiameng, 2022. "A more comprehensive estimate of the value of water quality," Journal of Public Economics, Elsevier, vol. 207(C).
    8. David A. Keiser & Joseph K. Shapiro, 2018. "Consequences of the Clean Water Act and the Demand for Water Quality," Center for Agricultural and Rural Development (CARD) Publications 17-wp571, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    9. Keiser, David A., 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," ISU General Staff Papers 201806290700001048, Iowa State University, Department of Economics.
    10. Adan L. Martinez Cruz & Yadira Elizabeth Peralta Torres & Valeria Garcia Olivera, 2024. "Using stated preference responses to address endogeneity in the single site travel cost equation," Working Papers DTE 632, CIDE, División de Economía.
    11. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 27, pages 661-674, Edward Elgar Publishing.
    12. Juan M. Gonzalez Sepulveda & F. Reed Johnson & Deborah A. Marshall, 2021. "Incomplete information and irrelevant attributes in stated‐preference values for health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2637-2648, November.

  12. von Haefen, Roger H., 2010. "Incomplete Demand Systems, Corner Solutions, and Welfare Measurement," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(1), pages 1-15, February.

    Cited by:

    1. Chandra Bhat & Abdul Pinjari, 2014. "Multiple discrete-continuous choice models: a reflective analysis and a prospective view," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 19, pages 427-454, Edward Elgar Publishing.
    2. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    3. Bart J. Bronnenberg, 2015. "The provision of convenience and variety by the market," RAND Journal of Economics, RAND Corporation, vol. 46(3), pages 480-498, September.
    4. Castro, Marisol & Bhat, Chandra R. & Pendyala, Ram M. & Jara-Díaz, Sergio R., 2012. "Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 729-743.
    5. Bhat, Chandra R., 2022. "A new closed-form two-stage budgeting-based multiple discrete-continuous model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 162-192.
    6. Pinjari, Abdul Rawoof & Augustin, Bertho & Sivaraman, Vijayaraghavan & Faghih Imani, Ahmadreza & Eluru, Naveen & Pendyala, Ram M., 2016. "Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 117-133.
    7. Bhat, Chandra R. & Castro, Marisol & Pinjari, Abdul Rawoof, 2015. "Allowing for complementarity and rich substitution patterns in multiple discrete–continuous models," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 59-77.

  13. Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009. "How Do Gasoline Prices Affect Fleet Fuel Economy?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.
    See citations under working paper version above.
  14. Antonio M. Bento & Lawrence H. Goulder & Mark R. Jacobsen & Roger H. von Haefen, 2009. "Distributional and Efficiency Impacts of Increased US Gasoline Taxes," American Economic Review, American Economic Association, vol. 99(3), pages 667-699, June.
    See citations under working paper version above.
  15. von Haefen, Roger H. & Phaneuf, Daniel J., 2008. "Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 19-32, July.

    Cited by:

    1. David A. Keiser, 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," Center for Agricultural and Rural Development (CARD) Publications 18-wp581, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Dmitriy Volinskiy & Wiktor Adamowicz & Michele Veeman, 2011. "Predicting versus testing: a conditional cross‐forecasting accuracy measure for hypothetical bias," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 429-450, July.
    3. Michael O’Hara, 2013. "Empirical identification of perceived congestion," Empirical Economics, Springer, vol. 45(3), pages 1167-1187, December.
    4. Helveston, John Paul & Feit, Elea McDonnell & Michalek, Jeremy J., 2018. "Pooling stated and revealed preference data in the presence of RP endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 70-89.
    5. Adelina Gschwandtner & Jose Eduardo Ribeiro & Cesar Revoredo-Giha & Michael Burton, 2021. "Combining Stated and Revealed Preferences for valuing Organic Chicken Meat," Studies in Economics 2113, School of Economics, University of Kent.
    6. Melstrom, Richard T. & Vasarhelyi, Leah, 2019. "Modeling recreation demand and fees at national parks," Annals of Tourism Research, Elsevier, vol. 77(C), pages 175-178.
    7. Hocheol Jeon & Joseph A. Herriges, 2017. "Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1053-1086, December.
    8. O. Morgan & John Whitehead & William Huth & Greg Martin & Richard Sjolander, 2013. "A Split-Sample Revealed and Stated Preference Demand Model to Examine Homogenous Subgroup Consumer Behavior Responses to Information and Food Safety Technology Treatments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(4), pages 593-611, April.
    9. John C. Whitehead & Daniel K. Lew, 2016. "Estimating Recreation Benefits through Joint Estimation of Revealed and Stated Preference Discrete Choice Data," Working Papers 16-22, Department of Economics, Appalachian State University.
    10. Chen, Min & Lupi, Frank, 2009. "Does economic endogeneity of site facilities in recreation demand models lead to statistical endogeneity?," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49449, Agricultural and Applied Economics Association.
    11. H. Allen Klaiber & Roger H. von Haefen, 2019. "Do Random Coefficients and Alternative Specific Constants Improve Policy Analysis? An Empirical Investigation of Model Fit and Prediction," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 75-91, May.
    12. O. Ashton Morgan & John C. Whitehead & William L. Huth & Gregory S. Martin & Richard Sjolander, 2013. "Accounting for Heterogeneity in Behavioral Responses to Health-Risk Information Treatments," Working Papers 13-05, Department of Economics, Appalachian State University.
    13. Richard T. Melstrom & Deshamithra H. W. Jayasekera, 2017. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," Land Economics, University of Wisconsin Press, vol. 93(2), pages 328-341.
    14. Melstrom, Richard T. & Lupi, Frank, 2013. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149732, Agricultural and Applied Economics Association.
    15. Chen, Min, 2009. "Does Economic Endogeneity of Site Facilities in Recreation Demand Models Lead to Statistical Endogeneity?," Graduate Research Master's Degree Plan B Papers 55808, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    16. Phaneuf, Daniel J. & Carbone, Jared C. & Herriges, Joseph A., 2009. "Non-price equilibria for non-marketed goods," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 45-64, January.
    17. Cheng, Li & Lupi, Frank, 2016. "Combining Revealed and Stated Preference Methods for Valuing Water Quality Changes to Great Lakes Beaches," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235746, Agricultural and Applied Economics Association.
    18. Chen, Min & Lupi, Frank, 2013. "Modeling Long Overnight Trips by Chaining Recreation Sites," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150489, Agricultural and Applied Economics Association.
    19. Juan M. Gonzalez Sepulveda & F. Reed Johnson & Deborah A. Marshall, 2021. "Incomplete information and irrelevant attributes in stated‐preference values for health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2637-2648, November.
    20. Hoyos, David & Riera, Pere, 2013. "Convergent validity between revealed and stated recreation demand data: Some empirical evidence from the Basque Country, Spain," Journal of Forest Economics, Elsevier, vol. 19(3), pages 234-248.
    21. Coote, Leonard V. & Swait, Joffre & Adamowicz, Wiktor, 2021. "Separating generalizable from source-specific preference heterogeneity in the fusion of revealed and stated preferences," Journal of choice modelling, Elsevier, vol. 40(C).
    22. Richard C. Bishop & Kevin J. Boyle, 2021. "On Adding-Up as a Validity Criterion for Stated-Preference Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 587-601, November.
    23. Fooks, Jacob R. & Messer, Kent D. & Duke, Joshua M. & Johnson, Janet B. & Parsons, George R., 2017. "Continuous attribute values in a simulation environment: Offshore energy production and Mid-Atlantic beach visitation," Energy Policy, Elsevier, vol. 110(C), pages 288-302.
    24. Abildtrup, Jens & Garcia, Serge & Olsen, Soren Boye & Stenger, Anne, 2011. "Spatial Preference Heterogeneity in Forest Recreation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 120386, European Association of Agricultural Economists.
    25. Rashedi, Zohreh & Mahmoud, Mohamed & Hasnine, Sami & Habib, Khandker Nurul, 2017. "On the factors affecting the choice of regional transit for commuting in Greater Toronto and Hamilton Area: Application of an advanced RP-SP choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 1-13.
    26. Melstrom, Richard T. & Lee, Kangil & Byl, Jacob P., 2016. "The effect of endangered species regulations on local employment: Evidence from the listing of the lesser prairie chicken," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236254, Agricultural and Applied Economics Association.
    27. Norwood, F. Bailey & Lusk, Jayson L., 2011. "A calibrated auction-conjoint valuation method: Valuing pork and eggs produced under differing animal welfare conditions," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 80-94, July.
    28. Paul Hindsley & Craig E. Landry & Kurt Schnier & John C. Whitehead & Mohammadreza Zarei, 2021. "Joint Estimation of Revealed Preference Site Selection and Stated Preference Choice Experiment Recreation Data Considering Attribute NonAttendance," Working Papers 21-10, Department of Economics, Appalachian State University.
    29. Sturla F. Kvamsdal & Ivan Belik & Arnt Ove Hopland & Yuanhao Li, 2021. "A Machine Learning Analysis of the Recent Environmental and Resource Economics Literature," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(1), pages 93-115, May.
    30. Daniel J. Phaneuf & Laura O. Taylor & John B. Braden, 2013. "Combining Revealed and Stated Preference Data to Estimate Preferences for Residential Amenities: A GMM Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 30-52.
    31. 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.

  16. Roger Haefen, 2008. "Latent Consideration Sets and Continuous Demand Systems," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(3), pages 363-379, November.

    Cited by:

    1. Christopher Jeffords, 2014. "Preference-directed regulation when ethical environmental policy choices are formed with limited information," Empirical Economics, Springer, vol. 46(2), pages 573-606, March.
    2. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    3. 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.
    4. Carson, Richard T. & Louviere, Jordan J., 2014. "Statistical properties of consideration sets," Journal of choice modelling, Elsevier, vol. 13(C), pages 37-48.
    5. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    6. Soetevent, Adriaan R., 2024. "I’d like to move it! The effect of consumption rivalry on demand estimation: Evidence from the EV public charging market," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    7. Abdul Pinjari & Chandra Bhat & David S. Bunch, 2013. "Workshop report: recent advances on modeling multiple discrete-continuous choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 3, pages 73-90, Edward Elgar Publishing.
    8. Chen, Min & Lupi, Frank, 2009. "Does economic endogeneity of site facilities in recreation demand models lead to statistical endogeneity?," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49449, Agricultural and Applied Economics Association.
    9. Hicks, Robert L. & Schnier, Kurt E., 2010. "Spatial regulations and endogenous consideration sets in fisheries," Resource and Energy Economics, Elsevier, vol. 32(2), pages 117-134, April.
    10. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    11. Li, Lianhua & Adamowicz, Wiktor & Swait, Joffre, 2015. "The effect of choice set misspecification on welfare measures in random utility models," Resource and Energy Economics, Elsevier, vol. 42(C), pages 71-92.
    12. Thuy Truong & Wiktor Adamowicz & Peter C. Boxall, 2018. "Modelling the Effect of Chronic Wasting Disease on Recreational Hunting Site Choice Preferences and Choice Set Formation over Time," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 271-295, May.
    13. Richards, Timothy J. & Yonezawa, Koichi & Hamilton, Stephen F., 2014. "Variety and the cost of search in supermarket retailing," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182778, European Association of Agricultural Economists.
    14. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 27, pages 661-674, Edward Elgar Publishing.
    15. David Roibas & Maria A. Garcia-Valiñas & Roberto Fernandez-Llera, 2019. "Measuring the Impact of Water Supply Interruptions on Household Welfare," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 159-179, May.
    16. Scrogin, David & Hofler, Richard & Boyle, Kevin J. & Milon, J. Walter, 2004. "On The Frontier Of Generating Revealed Preference Choice Sets: An Efficient Approach," 2004 Annual meeting, August 1-4, Denver, CO 20134, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).

  17. von Haefen, Roger H., 2007. "Empirical strategies for incorporating weak complementarity into consumer demand models," Journal of Environmental Economics and Management, Elsevier, vol. 54(1), pages 15-31, July.

    Cited by:

    1. Vasquez Lavin, Felipe & Hanemann, W. Michael, 2008. "Functional Forms in Discrete/Continuous Choice Models With General Corner Solution," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7z25t659, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Lloyd-Smith, Patrick, 2018. "A new approach to calculating welfare measures in Kuhn-Tucker demand models," Journal of choice modelling, Elsevier, vol. 26(C), pages 19-27.
    3. David G. Brown, 2009. "A Revealed Preference Feasibility Condition for Weak Complementarity," Departmental Working Papers 2009-08, Department of Economics, Louisiana State University.
    4. von Haefen, Roger H., 2010. "Incomplete Demand Systems, Corner Solutions, and Welfare Measurement," Agricultural and Resource Economics Review, Cambridge University Press, vol. 39(1), pages 22-36, February.
    5. Tatsuo Suwa, 2008. "Estimation of the spatial substitution effect of national park trip demand: an application of the Kuhn-Tucker model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 9(4), pages 239-257, December.
    6. Beaumais, Olivier & Appéré, Gildas, 2010. "Recreational shellfish harvesting and health risks: A pseudo-panel approach combining revealed and stated preference data with correction for on-site sampling," Ecological Economics, Elsevier, vol. 69(12), pages 2315-2322, October.
    7. Davis, Alison F. & Moeltner, Klaus, 2010. "Valuing the Prevention of an Infestation: The Threat of the New Zealand Mud Snail in Northern Nevada," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(1), pages 1-19, February.
    8. Tatsuo Suwa, 2008. "Estimation of the spatial substitution effect of national park trip demand: an application of the Kuhn-Tucker model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 9(4), pages 239-257, December.
    9. H. Spencer Banzhaf, 2020. "Panel Data Hedonics: Rosen'S First Stage As A “Sufficient Statistic”," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 973-1000, May.
    10. David G. Brown, 2008. "Falsifying the �Goodness� of Nonmarket Goods with Revealed Preference," Departmental Working Papers 2008-08, Department of Economics, Louisiana State University.
    11. V. Kerry Smith & Mary F. Evans & H. Spencer Banzhaf & Christine Poulos, 2008. "Can Weak Substitution be Rehabilitated?," NBER Working Papers 13903, National Bureau of Economic Research, Inc.
    12. Kuriyama, Koichi & Shoji, Yasushi & Tsuge, Takahiro, 2024. "The integer programing extreme value (IPEV) model: An application for estimation of the leisure trip demand," Transportation Research Part B: Methodological, Elsevier, vol. 186(C).
    13. Kuriyama, Koichi & Michael Hanemann, W. & Hilger, James R., 2010. "A latent segmentation approach to a Kuhn-Tucker model: An application to recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 209-220, November.
    14. Tadahiro Okuyama, 2017. "A risk benefit calculation method based on consumer behavior and household risk production function," Economics Bulletin, AccessEcon, vol. 37(2), pages 645-652.
    15. H. Spencer Banzhaf, 2021. "Difference-in-Differences Hedonics," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2385-2414.
    16. Lea Nicita & W. Douglass Shaw & Giovanni Signorello, 2018. "Valuing the Benefits of Rock Climbing and the Welfare Gains from Decreasing Injury Risk," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2258-2274, November.
    17. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    18. David W. Carter & Akbar Marvasti & Christopher Liese & Scott Crosson, 2016. "Valuing Sportfishing Harvest with the Demand for Boat Fuel," Marine Resource Economics, University of Chicago Press, vol. 31(3), pages 323-338.
    19. David G. Brown, 2008. "Preference-Theoretic Weak Complementarity: Getting More with Less," Departmental Working Papers 2008-09, Department of Economics, Louisiana State University.
    20. Sánchez, José J. & Baerenklau, Ken & González-Cabán, Armando, 2016. "Valuing hypothetical wildfire impacts with a Kuhn–Tucker model of recreation demand," Forest Policy and Economics, Elsevier, vol. 71(C), pages 63-70.

  18. Antonio M. Bento & Lawrence H. Goulder & Emeric Henry & Mark R. Jacobsen & Roger H. von Haefen, 2005. "Distributional and Efficiency Impacts of Gasoline Taxes: An Econometrically Based Multi-market Study," American Economic Review, American Economic Association, vol. 95(2), pages 282-287, May.
    See citations under working paper version above.
  19. Roger H. von Haefen & D. Matthew Massey & Wiktor L. Adamowicz, 2005. "Serial Nonparticipation in Repeated Discrete Choice Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1061-1076.

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    1. Peter Boxall & W. L. (Vic) Adamowicz & Amanda Moon, 2009. "Complexity in choice experiments: choice of the status quo alternative and implications for welfare measurement ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 503-519, October.
    2. Windle, Jill & Rolfe, John, 2010. "Restricted versus unrestricted choice in labelled choice experiments: exploring the tradeoffs of expanding choice dimensions," Research Reports 95072, Australian National University, Environmental Economics Research Hub.
    3. Rolfe, John & Windle, Jill, 2010. "Valuing environmental improvements in the Great Barrier Reef: Ecological and preference heterogeneity in local area case studies," Research Reports 95052, Australian National University, Environmental Economics Research Hub.
    4. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    5. Fanghella, Valeria & Faure, Corinne & Guetlein, Marie-Charlotte & Schleich, Joachim, 2022. "Discriminatory subsidies for energy-efficient technologies and the role of envy," Resource and Energy Economics, Elsevier, vol. 68(C).
    6. Filiptseva, Anna & Filler, Günther & Odening, Martin, 2022. "Compensation Options for Quarantine Costs in Plant Production," 62nd Annual Conference, Stuttgart, Germany, September 7-9, 2022 329595, German Association of Agricultural Economists (GEWISOLA).
    7. Ma, Chunbo & Burton, Michael, 2016. "Warm glow from green power: Evidence from Australian electricity consumers," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 106-120.
    8. Danny Campbell & Seda Erdem, 2019. "Including Opt-Out Options in Discrete Choice Experiments: Issues to Consider," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(1), pages 1-14, February.
    9. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
    10. Rolfe, John & Bennett, Jeff, 2009. "The impact of offering two versus three alternatives in choice modelling experiments," Ecological Economics, Elsevier, vol. 68(4), pages 1140-1148, February.
    11. Bruno Lanz & Allan Provins, 2015. "Using discrete choice experiments to regulate the provision of water services: do status quo choices reflect preferences?," Journal of Regulatory Economics, Springer, vol. 47(3), pages 300-324, June.
    12. Nielsen, Anne Sofie Elberg & Lundhede, Thomas Hedemark & Jacobsen, Jette Bredahl, 2016. "Local consequences of national policies - A spatial analysis of preferences for forest access reduction," Forest Policy and Economics, Elsevier, vol. 73(C), pages 68-77.
    13. Jill Windle & John Rolfe, 2010. "Restricted versus unrestricted choice in labelled choice experiments: exploring the tradeoffs of expanding choice dimensions," Environmental Economics Research Hub Research Reports 1056, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    14. Rolfe, John & Windle, Jill, 2010. "Testing for geographic scope and scale effects with choice modelling: Application to the Great Barrier Reef," Research Reports 95048, Australian National University, Environmental Economics Research Hub.
    15. Jacob Ladenburg & Søren Bøye Olsen, 2010. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," IFRO Working Paper 2010/9, University of Copenhagen, Department of Food and Resource Economics.
    16. Zhenshan Chen & Stephen K. Swallow & Ian T. Yue, 2020. "Non-participation and Heterogeneity in Stated: A Double Hurdle Latent Class Approach for Climate Change Adaptation Plans and Ecosystem Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(1), pages 35-67, September.
    17. Brown, Zachary S. & Dickinson, Katherine L. & Paskewitz, Susan, 2015. "A generalized latent class logit model of discontinuous preferences in repeated discrete choice data: an application to mosquito control in Madison, Wisconsin," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205613, Agricultural and Applied Economics Association.
    18. Burton, Michael P. & Rigby, Dan, 2006. "Non-Participation in Choice Models: Hurdle and Latent Class Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25312, International Association of Agricultural Economists.
    19. Jürgen Meyerhoff & Ulf Liebe, 2009. "Status Quo Effect in Choice Experiments: Empirical Evidence on Attitudes and Choice Task Complexity," Land Economics, University of Wisconsin Press, vol. 85(3), pages 515-528.
    20. Zack Dorner & Daniel A. Brent & Anke Leroux, 2019. "Preferences for Intrinsically Risky Attributes," Land Economics, University of Wisconsin Press, vol. 95(4), pages 494-514.
    21. Tu, Gengyang & Faure, Corinne & Schleich, Joachim & Guetlein, Marie-Charlotte, 2021. "The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    22. John Rolfe & Jill Windle, 2012. "Distance Decay Functions for Iconic Assets: Assessing National Values to Protect the Health of the Great Barrier Reef in Australia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 347-365, November.
    23. Chen, Min & Lupi, Frank, 2009. "Does economic endogeneity of site facilities in recreation demand models lead to statistical endogeneity?," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49449, Agricultural and Applied Economics Association.
    24. Li, Zhi & Liu, Pengfei & Swallow, Stephen K., 2017. "Supporting Private Provision of Ecosystem Services through Contracts: Evidence from Lab and Field Experiments," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266300, Agricultural and Applied Economics Association.
    25. Thiene, Mara & Meyerhoff, Jürgen & De Salvo, Maria, 2012. "Scale and taste heterogeneity for forest biodiversity: Models of serial nonparticipation and their effects," Journal of Forest Economics, Elsevier, vol. 18(4), pages 355-369.
    26. Hu, Wuyang, 2008. "Modeling Yeah- and Nay-Saying to Alternatives in Conjoint Experiments," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6346, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    27. Jill Windle & John Rolfe & Roy Brouwer, 2009. "Public values for improved water security for domestic and environmental use," Environmental Economics Research Hub Research Reports 0918, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    28. Chen, Min, 2009. "Does Economic Endogeneity of Site Facilities in Recreation Demand Models Lead to Statistical Endogeneity?," Graduate Research Master's Degree Plan B Papers 55808, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    29. Fanghella, Valeria & Guetlein, Marie-Charlotte & Schleich, Joachim & Sebi, Carine, 2023. "Preferences on financing mechanisms for thermal retrofit measures in multi-owner buildings: A discrete choice experiment with landlords and owner-occupiers in France," Resource and Energy Economics, Elsevier, vol. 74(C).
    30. Lawrence Goulder, 2007. "Distributional and Efficiency Impacts of Increased U.S. Gasoline Taxes," Discussion Papers 07-009, Stanford Institute for Economic Policy Research.
    31. Ardeshiri, Ali & Rashidi, Taha Hossein, 2020. "Willingness to pay for fast charging station for electric vehicles with limited market penetration making," Energy Policy, Elsevier, vol. 147(C).
    32. Jacobsen, Jette Bredahl & Thorsen, Bo Jellesmark, 2010. "Preferences for site and environmental functions when selecting forthcoming national parks," Ecological Economics, Elsevier, vol. 69(7), pages 1532-1544, May.
    33. Börger, Tobias & Ngoc, Quach Thi Khanh & Kuhfuss, Laure & Hien, Tang Thi & Hanley, Nick & Campbell, Danny, 2021. "Preferences for coastal and marine conservation in Vietnam: Accounting for differences in individual choice set formation," Ecological Economics, Elsevier, vol. 180(C).
    34. Adamowicz, Wiktor & Dupont, Diane & Krupnick, Alan & Zhang, Jing, 2011. "Valuation of cancer and microbial disease risk reductions in municipal drinking water: An analysis of risk context using multiple valuation methods," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 213-226, March.
    35. Nguyen, Minh Duc & Ancev, Tiho & Randall, Alan, 2020. "Forest governance and economic values of forest ecosystem services in Vietnam," Land Use Policy, Elsevier, vol. 97(C).
    36. Crastes, Romain & Beaumais, Olivier & Arkoun, Ouerdia & Laroutis, Dimitri & Mahieu, Pierre-Alexandre & Rulleau, Bénédicte & Hassani-Taibi, Salima & Barbu, Vladimir Stefan & Gaillard, David, 2014. "Erosive runoff events in the European Union: Using discrete choice experiment to assess the benefits of integrated management policies when preferences are heterogeneous," Ecological Economics, Elsevier, vol. 102(C), pages 105-112.
    37. Windle, Jill & Rolfe, John, 2009. "Comparing responses from web and paper-based collection modes in a choice modelling experiment," Research Reports 94941, Australian National University, Environmental Economics Research Hub.
    38. Fanny Velardo & Verity Watson & Pierre Arwidson & François Alla & Stéphane Luchini & Michaël Schwarzinger, 2021. "Regional Differences in COVID-19 Vaccine Hesitancy in December 2020: A Natural Experiment in the French Working-Age Population," Post-Print hal-03513452, HAL.
    39. Dalemans, Floris & Muys, Bart & Verwimp, Anne & Van den Broeck, Goedele & Bohra, Babita & Sharma, Navin & Gowda, Balakrishna & Tollens, Eric & Maertens, Miet, 2018. "Redesigning oilseed tree biofuel systems in India," Energy Policy, Elsevier, vol. 115(C), pages 631-643.
    40. Thomas Lundhede & Jette Bredahl Jacobsen & Nick Hanley & Niels Strange & Bo Jellesmark Thorsen, 2015. "Incorporating Outcome Uncertainty and Prior Outcome Beliefs in Stated Preferences," Land Economics, University of Wisconsin Press, vol. 91(2), pages 296-316.
    41. Bento, Antonio M. & Goulder, Lawrence H. & Jacobsen, Mark R. & von Haefen, Roger H., 2007. "Distributional and Efficiency Impacts of Increased U.S. Gasoline Taxes," Working Papers 127021, Cornell University, Department of Applied Economics and Management.
    42. John Rolfe & Jill Windle, 2010. "Testing for geographic scope and scale effects with choice modelling: Application to the Great Barrier Reef," Environmental Economics Research Hub Research Reports 1069, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    43. Schulz, Rainer & Watson, Verity & Wersing, Martin, 2023. "Teleworking and housing demand," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    44. Ponce Oliva, Roberto D. & Vasquez-Lavín, Felipe & San Martin, Valeska A. & Hernández, José Ignacio & Vargas, Cristian A. & Gonzalez, Pablo S. & Gelcich, Stefan, 2019. "Ocean Acidification, Consumers' Preferences, and Market Adaptation Strategies in the Mussel Aquaculture Industry," Ecological Economics, Elsevier, vol. 158(C), pages 42-50.
    45. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    46. Chen, Min & Lupi, Frank, 2013. "Modeling Long Overnight Trips by Chaining Recreation Sites," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150489, Agricultural and Applied Economics Association.
    47. John Rolfe & Jill Windle, 2009. "Comparing responses from web and paper-based collection modes in a choice modelling experiment," Environmental Economics Research Hub Research Reports 0945, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    48. von Haefen, Roger H. & Phaneuf, Daniel J., 2008. "Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 19-32, July.
    49. Anna Bartczak & Jürgen Meyerhoff, 2012. "Valuing the chances of survival of two distinct Eurasian lynx populations in Poland – do people want to keep doors open?," Working Papers 2012-14, Faculty of Economic Sciences, University of Warsaw.
    50. Brown, Zachary & Dickinson, Katherine L. & Paskewitz, Susan, 2016. "Partially observable latent class analysis (POLCA): An application to serial participation in mosquito control in Madison, Wisconsin," CEnREP Working Papers 340062, North Carolina State University, Department of Agricultural and Resource Economics.
    51. John Rolfe & Jill Windle, 2010. "Valuing environmental improvements in the Great Barrier Reef: Ecological and preference heterogeneity in local area case studies," Environmental Economics Research Hub Research Reports 1066, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    52. Naspetti, Simona & Zanoli, Raffaele, 2011. "Communicating Ethical Arguments to Organic Consumers: A Study Across Five European Countries," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 2(3), pages 1-21, December.
    53. Bruno Lanz & Allan Provins, 2012. "Do status quo choices reflect preferences? Evidence from a discrete choice experiment in the context of water utilities' investment planning," CEPE Working paper series 12-87, CEPE Center for Energy Policy and Economics, ETH Zurich.
    54. Gatto, Paola & Vidale, Enrico & Secco, Laura & Pettenella, Davide, 2014. "Exploring the willingness to pay for forest ecosystem services by residents of the Veneto Region," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(1), pages 1-23, April.
    55. Tobias Holmsgaard Larsen & Thomas Lundhede & Søren Bøye Olsen, 2020. "Assessing the value of surface water and groundwater quality improvements when time lags and outcome uncertainty exist: Results from a choice experiment survey across four different countries," IFRO Working Paper 2020/12, University of Copenhagen, Department of Food and Resource Economics.
    56. Campbell, Danny & Hensher, David A. & Scarpa, Riccardo, 2014. "Bounding WTP distributions to reflect the ‘actual’ consideration set," Journal of choice modelling, Elsevier, vol. 11(C), pages 4-15.
    57. Jürgen Meyerhoff & Morten Mørkbak & Søren Olsen, 2014. "A Meta-study Investigating the Sources of Protest Behaviour in Stated Preference Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 35-57, May.
    58. Windle, Jill & Rolfe, John, 2010. "Comparing responses from web and paper-based collection modes in a choice modelling experiment," 2010 Conference (54th), February 10-12, 2010, Adelaide, Australia 59261, Australian Agricultural and Resource Economics Society.
    59. Weng, Weizhe & Morrison, Mark D. & Boyle, Kevin J. & Boxall, Peter C. & Rose, John, 2021. "Effects of the number of alternatives in public good discrete choice experiments," Ecological Economics, Elsevier, vol. 182(C).
    60. Rolfe, John & Windle, Jill, 2012. "Testing benefit transfer of reef protection values between local case studies: The Great Barrier Reef in Australia," Ecological Economics, Elsevier, vol. 81(C), pages 60-69.
    61. Jacobsen, Jette Bredahl & Lundhede, Thomas Hedemark & Martinsen, Louise & Hasler, Berit & Thorsen, Bo Jellesmark, 2011. "Embedding effects in choice experiment valuations of environmental preservation projects," Ecological Economics, Elsevier, vol. 70(6), pages 1170-1177, April.
    62. Shi, Lijia & House, Lisa & Gao, Zhifeng, 2011. "Consumer Structure of the Blueberry Market: A Double Hurdle Model Approach," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103630, Agricultural and Applied Economics Association.
    63. Juutinen, Artti & Kosenius, Anna-Kaisa & Ovaskainen, Ville, 2014. "Estimating the benefits of recreation-oriented management in state-owned commercial forests in Finland: A choice experiment," Journal of Forest Economics, Elsevier, vol. 20(4), pages 396-412.
    64. Regier, Dean A. & Sicsic, Jonathan & Watson, Verity, 2019. "Choice certainty and deliberative thinking in discrete choice experiments. A theoretical and empirical investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 235-255.
    65. Jorien Veldwijk & Mattijs S Lambooij & Esther W de Bekker-Grob & Henriëtte A Smit & G Ardine de Wit, 2014. "The Effect of Including an Opt-Out Option in Discrete Choice Experiments," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    66. Brown, Zachary & Dickinson, Katherine L. & Paskewitz, Susan, 2016. "Partially observable latent class analysis (POLCA): An application to serial participation in mosquito control in Madison, WI," CEnREP Working Papers 264979, North Carolina State University, Department of Agricultural and Resource Economics.
    67. Zheng Li, 2020. "Experimental Evidence on Socioeconomic Differences in Risk‐Taking and Risk Premiums," The Economic Record, The Economic Society of Australia, vol. 96(313), pages 140-152, June.
    68. Makriyannis, Christos & Johnston, Robert, 2016. "Welfare Analysis for Climate Risk Reductions: Are Current Treatments of Outcome Uncertainty Sufficient?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235532, Agricultural and Applied Economics Association.
    69. Oehlmann, Malte & Meyerhoff, Jürgen & Mariel, Petr & Weller, Priska, 2017. "Uncovering context-induced status quo effects in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 59-73.
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    Cited by:

    1. Vasquez Lavin, Felipe & Hanemann, W. Michael, 2008. "Functional Forms in Discrete/Continuous Choice Models With General Corner Solution," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7z25t659, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Mündler, Marc-Andreas & Becker, Sascha O., 2006. "Margins of multinational labor substitution," Discussion Paper Series 1: Economic Studies 2006,24, Deutsche Bundesbank.
    3. Lloyd-Smith, Patrick, 2018. "A new approach to calculating welfare measures in Kuhn-Tucker demand models," Journal of choice modelling, Elsevier, vol. 26(C), pages 19-27.
    4. Chandra Bhat & Abdul Pinjari, 2014. "Multiple discrete-continuous choice models: a reflective analysis and a prospective view," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 19, pages 427-454, Edward Elgar Publishing.
    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. Fenichel, Eli P. & Abbott, Joshua K., 2014. "Heterogeneity and the fragility of the first best: Putting the “micro” in bioeconomic models of recreational resources," Resource and Energy Economics, Elsevier, vol. 36(2), pages 351-369.
    7. Pere Riera & Giovanni Signorello & Mara Thiene & Pierre-Alexandre Mahieu & Ståle Navrud & Pamela Kaval & Benedicte Rulleau & Robert Mavsar & Lívia Madureira & Jürgen Meyerhoff & Peter Elsasser & Sandr, 2012. "Non-market valuation of forest goods and services: Good practice guidelines," Post-Print hal-04576612, HAL.
    8. Kasteridis, Panagiotis & Yen, Steven, 2012. "U.S. demand for organic and conventional vegetables: a Bayesian censored system approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 1-21.
    9. Sikder, Sujan & Pinjari, Abdul Rawoof, 2013. "The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models," Journal of choice modelling, Elsevier, vol. 9(C), pages 39-56.
    10. von Haefen, Roger H., 2010. "Incomplete Demand Systems, Corner Solutions, and Welfare Measurement," Agricultural and Resource Economics Review, Cambridge University Press, vol. 39(1), pages 22-36, February.
    11. Khan, Mubassira & Machemehl, Randy, 2017. "Commercial vehicles time of day choice behavior in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 68-83.
    12. Tatsuo Suwa, 2008. "Estimation of the spatial substitution effect of national park trip demand: an application of the Kuhn-Tucker model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 9(4), pages 239-257, December.
    13. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
    14. Abdul Pinjari & Chandra Bhat & David S. Bunch, 2013. "Workshop report: recent advances on modeling multiple discrete-continuous choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 3, pages 73-90, Edward Elgar Publishing.
    15. Thijs Dekker & Paul (P.R.) Koster & Niek Mouter, 2019. "The economics of participatory value evaluation," Tinbergen Institute Discussion Papers 19-008/VIII, Tinbergen Institute.
    16. Phaneuf, Daniel J. & Carbone, Jared C. & Herriges, Joseph A., 2009. "Non-price equilibria for non-marketed goods," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 45-64, January.
    17. Tatsuo Suwa, 2008. "Estimation of the spatial substitution effect of national park trip demand: an application of the Kuhn-Tucker model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 9(4), pages 239-257, December.
    18. Martina Menon & Federico Perali & Marcella Veronesi, 2014. "Recovering Individual Preferences for Non-Market Goods: A Collective Travel-Cost Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(2), pages 438-457.
    19. Gosens, Tom & Rouwendal, Jan, 2018. "Nature-based outdoor recreation trips: Duration, travel mode and location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 513-530.
    20. Carson, Richard T. & Eagle, Thomas C. & Islam, Towhidul & Louviere, Jordan J., 2022. "Volumetric choice experiments (VCEs)," Journal of choice modelling, Elsevier, vol. 42(C).
    21. Kuriyama, Koichi & Shoji, Yasushi & Tsuge, Takahiro, 2020. "The value of leisure time of weekends and long holidays: The multiple discrete–continuous extreme value (MDCEV) choice model with triple constraints," Journal of choice modelling, Elsevier, vol. 37(C).
    22. Kuriyama, Koichi & Shoji, Yasushi & Tsuge, Takahiro, 2024. "The integer programing extreme value (IPEV) model: An application for estimation of the leisure trip demand," Transportation Research Part B: Methodological, Elsevier, vol. 186(C).
    23. Kuriyama, Koichi & Michael Hanemann, W. & Hilger, James R., 2010. "A latent segmentation approach to a Kuhn-Tucker model: An application to recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 209-220, November.
    24. Kim, Chul & Smith, Adam N. & Kim, Jaehwan & Allenby, Greg M., 2023. "Outside good utility and substitution patterns in direct utility models," Journal of choice modelling, Elsevier, vol. 49(C).
    25. Tadahiro Okuyama, 2012. "Valuing Benefits of Tourism Activities in Nara Prefecture: An Application of the Kuhn–Tucker Model," Tourism Economics, , vol. 18(2), pages 393-412, April.
    26. Aaron Strong & V. Kerry Smith, 2010. "Reconsidering the Economics of Demand Analysis with Kinked Budget Constraints," Land Economics, University of Wisconsin Press, vol. 86(1), pages 173-190.
    27. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
    28. Saxena, Shobhit & Pinjari, Abdul Rawoof & Bhat, Chandra R., 2022. "Multiple discrete-continuous choice models with additively separable utility functions and linear utility on outside good: Model properties and characterization of demand functions," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 526-557.
    29. Lea Nicita & W. Douglass Shaw & Giovanni Signorello, 2018. "Valuing the Benefits of Rock Climbing and the Welfare Gains from Decreasing Injury Risk," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2258-2274, November.
    30. Landry, Craig & Smith, Travis A., 2024. "IDS and AIDS Models for Recreation Demand: Application to Aggregate Beach Visitation," 2024 Annual Meeting, July 28-30, New Orleans, LA 343945, Agricultural and Applied Economics Association.
    31. Bhattacharjee, Subhra & Kling, Catherine L. & Herriges, Joseph A., 2009. "Kuhn-Tucker Estimation of Recreation Demand – A Study of Temporal Stability," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49408, Agricultural and Applied Economics Association.
    32. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    33. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    34. von Haefen, Roger H., 2007. "Empirical strategies for incorporating weak complementarity into consumer demand models," Journal of Environmental Economics and Management, Elsevier, vol. 54(1), pages 15-31, July.
    35. Sánchez, José J. & Baerenklau, Ken & González-Cabán, Armando, 2016. "Valuing hypothetical wildfire impacts with a Kuhn–Tucker model of recreation demand," Forest Policy and Economics, Elsevier, vol. 71(C), pages 63-70.
    36. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.

  21. Roger H. von Haefen & Daniel J. Phaneuf, 2003. "A Note on Estimating Nested Constant Elasticity of Substitution Preferences for Outdoor Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 406-413.

    Cited by:

    1. Richards, Timothy J., 2004. "Price and Product-Line Rivalry Among Supermarket Retailers," Working Papers 28535, Arizona State University, Morrison School of Agribusiness and Resource Management.
    2. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    3. Baerenklau, Kenneth A. & González-Cabán, Armando & Paez, Catrina & Chavez, Edgar, 2010. "Spatial allocation of forest recreation value," Journal of Forest Economics, Elsevier, vol. 16(2), pages 113-126, April.

  22. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.

    Cited by:

    1. Bhat, Chandra R. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Aarti C., 2020. "A multiple discrete extreme value choice model with grouped consumption data and unobserved budgets," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 196-222.
    2. Bhat, Chandra R., 2018. "A new flexible multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 261-279.
    3. Heagney, E.C. & Rose, J.M. & Ardeshiri, A. & Kovač, M., 2018. "Optimising recreation services from protected areas – Understanding the role of natural values, built infrastructure and contextual factors," Ecosystem Services, Elsevier, vol. 31(PC), pages 358-370.
    4. von Haefen, Roger H., 2010. "Incomplete Demand Systems, Corner Solutions, and Welfare Measurement," Agricultural and Resource Economics Review, Cambridge University Press, vol. 39(1), pages 22-36, February.
    5. Tatsuo Suwa, 2008. "Estimation of the spatial substitution effect of national park trip demand: an application of the Kuhn-Tucker model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 9(4), pages 239-257, December.
    6. Kosenius, Anna-Kaisa, 2010. "Heterogeneous preferences for water quality attributes: The Case of eutrophication in the Gulf of Finland, the Baltic Sea," Ecological Economics, Elsevier, vol. 69(3), pages 528-538, January.
    7. Shobhit Saxena & Abdul Rawoof Pinjari & Chandra R. Bhat & Aupal Mondal, 2024. "A flexible multiple discrete–continuous probit (MDCP) model: application to analysis of expenditure patterns of domestic tourists in India," Transportation, Springer, vol. 51(4), pages 1299-1326, August.
    8. Kenneth A. Baerenklau, 2010. "A Latent Class Approach to Modeling Endogenous Spatial Sorting in Zonal Recreation Demand Models," Land Economics, University of Wisconsin Press, vol. 86(4), pages 800-816.
    9. Pelletier, Marie-Chantale & Heagney, Elizabeth & Kovač, Mladen, 2021. "Valuing recreational services: A review of methods with application to New South Wales National Parks," Ecosystem Services, Elsevier, vol. 50(C).
    10. Tatsuo Suwa, 2008. "Estimation of the spatial substitution effect of national park trip demand: an application of the Kuhn-Tucker model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 9(4), pages 239-257, December.
    11. Bhat, Chandra R., 2022. "A new closed-form two-stage budgeting-based multiple discrete-continuous model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 162-192.
    12. Herriges, Joseph A. & Phaneuf, Daniel J. & Tobias, Justin, 2008. "Estimating Demand Systems when Outcomes Are Correlated Count," Staff General Research Papers Archive 12934, Iowa State University, Department of Economics.
    13. David Roibas & Maria A. Garcia-Valiñas & Roberto Fernandez-Llera, 2019. "Measuring the Impact of Water Supply Interruptions on Household Welfare," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 159-179, May.
    14. Takuya Satomura & Jaehwan Kim & Greg M. Allenby, 2011. "Multiple-Constraint Choice Models with Corner and Interior Solutions," Marketing Science, INFORMS, vol. 30(3), pages 481-490, 05-06.
    15. Kuriyama, Koichi & Michael Hanemann, W. & Hilger, James R., 2010. "A latent segmentation approach to a Kuhn-Tucker model: An application to recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 209-220, November.
    16. Massimo Filippini & William Greene & Adan L. Martinez-Cruz, 2018. "Non-market Value of Winter Outdoor Recreation in the Swiss Alps: The Case of Val Bedretto," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 729-754, November.
    17. Doherty, Edel & Campbell, Danny & Hynes, Stephen & van Rensburg, Tom M., 2011. "The effect of using labelled alternatives in stated choice experiments: an exploration focusing on farmland walking trails in Ireland," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108792, Agricultural Economics Society.
    18. Tadahiro Okuyama, 2012. "Valuing Benefits of Tourism Activities in Nara Prefecture: An Application of the Kuhn–Tucker Model," Tourism Economics, , vol. 18(2), pages 393-412, April.
    19. Doherty, Edel & Campbell, Danny & Hynes, Stephen & van Rensburg, Thomas, 2012. "Labelling effects in discrete choice experiments," Working Papers 148831, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    20. Astroza, Sebastian & Guarda, Pablo & Carrasco, Juan Antonio, 2022. "Modeling the relationship between food purchasing, transport, and health outcomes: Evidence from Concepcion, Chile," Journal of choice modelling, Elsevier, vol. 42(C).
    21. Landry, Craig & Smith, Travis A., 2024. "IDS and AIDS Models for Recreation Demand: Application to Aggregate Beach Visitation," 2024 Annual Meeting, July 28-30, New Orleans, LA 343945, Agricultural and Applied Economics Association.
    22. Mondal, Aupal & Bhat, Chandra R., 2021. "A new closed form multiple discrete-continuous extreme value (MDCEV) choice model with multiple linear constraints," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 42-66.
    23. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R. & Pendyala, Ram M., 2023. "On modeling future workplace location decisions: An analysis of Texas employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    24. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    25. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    26. Landry, Craig E. & Liu, Haiyong, 2009. "A semi-parametric estimator for revealed and stated preference data--An application to recreational beach visitation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 205-218, March.
    27. Baerenklau, Kenneth A. & González-Cabán, Armando & Paez, Catrina & Chavez, Edgar, 2010. "Spatial allocation of forest recreation value," Journal of Forest Economics, Elsevier, vol. 16(2), pages 113-126, April.

  23. von Haefen, Roger H., 2003. "Incorporating observed choice into the construction of welfare measures from random utility models," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 145-165, March.
    See citations under working paper version above.
  24. von Haefen, Roger H., 2002. "A Complete Characterization Of The Linear, Log-Linear, And Semi-Log Incomplete Demand System Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-39, December.

    Cited by:

    1. Landry, Craig E. & Shonkwiler, J. Scott & Whitehead, John C., 2020. "Economic Values of Coastal Erosion Management: Joint Estimation of Use and Existence Values with recreation demand and contingent valuation data," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    2. Hilger, James & Englin, Jeffrey, 2009. "Utility theoretic semi-logarithmic incomplete demand systems in a natural experiment: Forest fire impacts on recreational values and use," Resource and Energy Economics, Elsevier, vol. 31(4), pages 287-298, November.
    3. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    4. Bruce R. Beattie & Jeffrey T. LaFrance, 2006. "The Law of Demand versus Diminishing Marginal Utility," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(2), pages 263-271.
    5. Eom, Young-Sook & Larson, Douglas M., 2006. "Improving environmental valuation estimates through consistent use of revealed and stated preference information," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 501-516, July.
    6. Davis, Alison F. & Moeltner, Klaus, 2010. "Valuing the Prevention of an Infestation: The Threat of the New Zealand Mud Snail in Northern Nevada," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(1), pages 1-19, February.
    7. Kenneth A. Baerenklau, 2010. "A Latent Class Approach to Modeling Endogenous Spatial Sorting in Zonal Recreation Demand Models," Land Economics, University of Wisconsin Press, vol. 86(4), pages 800-816.
    8. Anna Bartczak & Jeffrey Englin & Arwin Pang, 2012. "When are Forest Visits Valued the Most? An Analysis of the Seasonal Demand for Forest Recreation in Poland," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(2), pages 249-264, June.
    9. Arwin Pang, 2022. "Investigating heteroscedasticity using the over-dispersion parameter in a travel cost model," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 507-516, December.
    10. Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Jeffrey Englin, 2019. "The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 961-984, November.
    11. Jesse Tack & Rulon Pope & Jeffrey LaFrance & Timothy Graciano & Scott Colby, 2012. "Intertemporal Risk Management in Agriculture," Monash Economics Working Papers 16-12, Monash University, Department of Economics.
    12. Craig E. Landry & Alyson R. Lewis & Haiyong Liu & Hans Vogelsong, 2016. "Addressing Onsite Sampling in Analysis of Recreation Demand: Economic Value and Impact of Visitation to Cape Hatteras National Seashore," Marine Resource Economics, University of Chicago Press, vol. 31(3), pages 301-322.
    13. Leif E. Anderson & Mark L. Plummer, 2017. "Recreational Demand for Shellfish Harvesting Under Environmental Closures," Marine Resource Economics, University of Chicago Press, vol. 32(1), pages 43-57.
    14. Massimo Filippini & William Greene & Adan L. Martinez-Cruz, 2018. "Non-market Value of Winter Outdoor Recreation in the Swiss Alps: The Case of Val Bedretto," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 729-754, November.
    15. Aaron Strong & V. Kerry Smith, 2010. "Reconsidering the Economics of Demand Analysis with Kinked Budget Constraints," Land Economics, University of Wisconsin Press, vol. 86(1), pages 173-190.
    16. Kovacs, Kent F. & Larson, Douglas M., 2006. "Recreation at open space and residential development patterns," 2006 Annual meeting, July 23-26, Long Beach, CA 271502, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Landry, Craig & Smith, Travis A., 2024. "IDS and AIDS Models for Recreation Demand: Application to Aggregate Beach Visitation," 2024 Annual Meeting, July 28-30, New Orleans, LA 343945, Agricultural and Applied Economics Association.
    18. Gvillo, Rejeana & Capps, Oral, Jr. & Dharmasena, Senarath, 2014. "Dynamics of Advertising and Demand for Fluid Milk in the United States: An Incomplete Demand Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170265, Agricultural and Applied Economics Association.
    19. Craig E. Landry & John Bergstrom & John Salazar & Dylan Turner, 2021. "How Has the COVID‐19 Pandemic Affected Outdoor Recreation in the U.S.? A Revealed Preference Approach," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 443-457, March.
    20. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    21. Eldon V. Ball & Ricardo Cavazos & Jeffrey T. LaFrance & Rulon Pope & Jesse Tack, 2010. "Aggregation and Arbitrage in Joint Production," Monash Economics Working Papers archive-22, Monash University, Department of Economics.
    22. Baerenklau, Kenneth A. & González-Cabán, Armando & Paez, Catrina & Chavez, Edgar, 2010. "Spatial allocation of forest recreation value," Journal of Forest Economics, Elsevier, vol. 16(2), pages 113-126, April.

  25. Smith, V. Kerry & Von Haefen, Roger, 1997. "Welfare measurement and representative consumer theory," Economics Letters, Elsevier, vol. 57(1), pages 63-67, November.
    See citations under working paper version above.

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