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Income Treatment Effects in Contingent Valuation: The Case of the Swedish Predator Policy

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  • Thomas Broberg

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  • Thomas Broberg, 2010. "Income Treatment Effects in Contingent Valuation: The Case of the Swedish Predator Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(1), pages 1-17, May.
    • Handle: RePEc:kap:enreec:v:46:y:2010:i:1:p:1-17
    DOI: 10.1007/s10640-009-9330-4
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    References listed on IDEAS

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    1. Alberini, Anna & Boyle, Kevin & Welsh, Michael, 2003. "Analysis of contingent valuation data with multiple bids and response options allowing respondents to express uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 40-62, January.
    2. Richard Carson & Robert Mitchell & Michael Hanemann & Raymond Kopp & Stanley Presser & Paul Ruud, 2003. "Contingent Valuation and Lost Passive Use: Damages from the Exxon Valdez Oil Spill," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 257-286, July.
    3. Trudy Ann Cameron & Michelle D. James, 1986. "Utilizing "Closed-Ended" Contingent Valuation Survey DAta for Preliminary Demand Assessments," UCLA Economics Working Papers 415, UCLA Department of Economics.
    4. Bengt Kristrom & Pere Riera, 1996. "Is the income elasticity of environmental improvements less than one?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(1), pages 45-55, January.
    5. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    6. Flores, Nicholas E. & Carson, Richard T., 1997. "The Relationship between the Income Elasticities of Demand and Willingness to Pay," Journal of Environmental Economics and Management, Elsevier, vol. 33(3), pages 287-295, July.
    7. Mary F. Evans & Nicholas E. Flores & Kevin J. Boyle, 2003. "Multiple-Bounded Uncertainty Choice Data as Probabilistic Intentions," Land Economics, University of Wisconsin Press, vol. 79(4), pages 549-560.
    8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    9. Wipon Aiew & Rodolfo Nayga & Richard Woodward, 2004. "The treatment of income variable in willingness to pay studies," Applied Economics Letters, Taylor & Francis Journals, vol. 11(9), pages 581-585.
    10. Ready, Richard C. & Malzubris, Jânis & Senkane, Silva, 2002. "The relationship between environmental values and income in a transition economy: surface water quality in Latvia," Environment and Development Economics, Cambridge University Press, vol. 7(1), pages 147-156, February.
    11. Horowitz, John K. & McConnell, K. E., 2003. "Willingness to accept, willingness to pay and the income effect," Journal of Economic Behavior & Organization, Elsevier, vol. 51(4), pages 537-545, August.
    12. Douglas Macmillan & Elizabeth Duff & David Elston, 2001. "Modelling the Non-market Environmental Costs and Benefits of Biodiversity Projects Using Contingent Valuation Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 18(4), pages 391-410, April.
    13. Peter A. Diamond & Jerry A. Hausman, 1994. "Contingent Valuation: Is Some Number Better than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 45-64, Fall.
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    Cited by:

    1. Moritz A. Drupp, 2018. "Limits to Substitution Between Ecosystem Services and Manufactured Goods and Implications for Social Discounting," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 135-158, January.
    2. Stefan Baumgärtner & Alexandra Klein & Denise Thiel & Klara Winkler, 2015. "Ramsey Discounting of Ecosystem Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(2), pages 273-296, June.
    3. Jacobsen, Jette Bredahl & Lundhede, Thomas Hedemark & Thorsen, Bo Jellesmark, 2013. "The effects of current income and expected change in future income on stated preferences for environmental improvements," Journal of Forest Economics, Elsevier, vol. 19(2), pages 206-219.
    4. Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stéphane Luchini, 2011. "A Test of Cheap Talk in Different Hypothetical Contexts: The Case of Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 111-130, September.
    5. Meya, Jasper N. & Drupp, Moritz A. & Hanley, Nick, 2018. "Income inequality and the international transfer of environmental values," Economics Working Papers 2017-03, Christian-Albrechts-University of Kiel, Department of Economics, revised 2018.
    6. Baumgärtner, Stefan & Drupp, Moritz A. & Meya, Jasper N. & Munz, Jan M. & Quaas, Martin F., 2017. "Income inequality and willingness to pay for environmental public goods," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 35-61.
    7. De Valck, Jeremy & Vlaeminck, Pieter & Liekens, Inge & Aertsens, Joris & Chen, Wendy & Vranken, Liesbet, 2012. "The sources of preference heterogeneity for nature restoration scenarios," Working Papers 146522, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    8. Baumgärtner, Stefan & Drupp, Moritz A. & Meya, Jasper N. & Munz, Jan M. & Quaas, Martin F., 2016. "Income inequality and willingness to pay for public environmental goods," Economics Working Papers 2016-04, Christian-Albrechts-University of Kiel, Department of Economics.

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    More about this item

    Keywords

    Contingent valuation; Income effect; Income-elasticity of WTP; Income measure; Household composition; Multiple bounded; C81; Q20; Q26; Q28;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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