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Entropy balancing for causal effects in discrete choice analysis: The Blue Planet II effect

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Listed:
  • Hynes, S.
  • Ankamah-Yeboah, I.
  • O’Neill, S.
  • Needham, K.
  • Bich Xuan, B.
  • Armstrong, C.

Abstract

In this study the discrete choice experiment approach was employed in a survey of the Scottish general public to analyse how respondents make trade-offs between blue growth potential and marine ecosystem service delivery associated with the Mingulay cold water reef complex. Results indicate a higher willingness to pay for management options associated with the highest possible levels of marine litter control followed by the highest possible levels of fish health. Using entropy balancing, a multivariate reweighting method to produce balanced samples in observational studies, we also test the impact that having watched the BBC Blue Planet II documentary series may have had on individuals’ willingness to support marine conservation activity. Whether or not respondents had seen the BBC Blue Planet II series was found to have a significant impact on people’s preferences. Despite this, the willingness to pay (WTP) does not differ between the two groups suggesting that such documentaries may impact preferences but not the final action of WTP. It is argued that the entropy weighting approach can be a useful tool in discrete choice modelling when the researcher is concerned with estimating differences in preferences between a group of interest and a comparison group.

Suggested Citation

  • Hynes, S. & Ankamah-Yeboah, I. & O’Neill, S. & Needham, K. & Bich Xuan, B. & Armstrong, C., 2020. "Entropy balancing for causal effects in discrete choice analysis: The Blue Planet II effect," Working Papers 309500, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
  • Handle: RePEc:ags:semrui:309500
    DOI: 10.22004/ag.econ.309500
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    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Jurgen Meyerhoff, 2006. "Stated willingness to pay as hypothetical behaviour: Can attitudes tell us more?," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 49(2), pages 209-226.
    3. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    4. Hynes, Stephen & Norton, Danny & Corless, Rebecca, 2014. "Investigating societal attitudes towards the marine environment of Ireland," Marine Policy, Elsevier, vol. 47(C), pages 57-65.
    5. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    7. Riccardo Scarpa & Kenneth G. Willis & Melinda Acutt, 2007. "Valuing externalities from water supply: Status quo, choice complexity and individual random effects in panel kernel logit analysis of choice experiments," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 50(4), pages 449-466.
    8. Othman, Jamal & Bennett, Jeff & Blamey, Russell, 2004. "Environmental values and resource management options: a choice modelling experience in Malaysia," Environment and Development Economics, Cambridge University Press, vol. 9(6), pages 803-824, December.
    9. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    10. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    11. Jacobsen, Grant D., 2011. "The Al Gore effect: An Inconvenient Truth and voluntary carbon offsets," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 67-78, January.
    12. Alberto Abadie & Guido W. Imbens, 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 1-11, January.
    13. Hainmueller, Jens & Xu, Yiqing, 2013. "ebalance: A Stata Package for Entropy Balancing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i07).
    14. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    15. Ekin Birol & Victoria Cox, 2007. "Using choice experiments to design wetland management programmes: The case of Severn Estuary Wetland, UK," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 50(3), pages 363-380.
    16. Stephen Hynes & Nick Hanley & Cathal O’Donoghue, 2010. "A Combinatorial Optimization Approach to Nonmarket Environmental Benefit Aggregation via Simulated Populations," Land Economics, University of Wisconsin Press, vol. 86(2), pages 345-362.
    17. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    18. Cerulli, Giovanni, 2019. "Data-driven sensitivity analysis for matching estimators," Economics Letters, Elsevier, vol. 185(C).
    19. 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).
    20. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
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    Keywords

    Environmental Economics and Policy; Institutional and Behavioral Economics;

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