Danny Campbell

Professor of Economics
Economics Division
Stirling Management School
University of Stirling
Stirling, FK9 4LA, UK

Main area of research concerns the economic valuation of environmental and natural resources. Further areas of research involves food choice analysis and economics of public health. Particular interest in exploring methodological and econometric aspects associated with discrete choice methods. Work has focused on preference discontinuity, attribute non-attendance, preference heterogeneity, experimental design, spatial issues and learning/fatigue effects in discrete choice experiments.

Journal articles

  1. Campbell, D., Mørkbak, M.R. and Olsen, S.B. (2018). The link between response time and preference, variance and processing heterogeneity in stated choice experiments. Journal of Environmental Economics and Management88: 18-34.

  2. Sandorf, E.D. and Campbell, D. (2018). Accommodating satisficing behavior in stated choice experiments. European Review of Agricultural Economics, in press.

  3. Campbell, D. and Erdem, S. (2018). Including opt-out options in discrete choice experiments: issues to consider. The Patient - Patient-Centered Outcomes Research, in press.

  4. Chorus, C., Pudāne, B., Mouter, N. and Campbell, D. (2018). Taboo trade-off aversion: a discrete choice model and empirical analysis. Journal of Choice Modelling27: 37-49.

  5. Grilli, G., Notaro, S. and Campbell, D. (2018). Including value orientations in choice models to estimate benefits of wildlife management policies. Ecological Economics151: 70-81.

  6. Van Loo, E., Nayga, R.M., Verbeke, W., Campbell, D. and Seo, H.S. (2018). Using eye tracking to account for attribute non-attendance in choice experiments. European Review of Agricultural Economics, in press.

  7. Budziński, W., Campbell, D., Czajkowski, M., Demšar, U. and Hanley, N. (2017). Using geographically weighted choice models to account for the spatial heterogeneity of preferences. Journal of Agricultural Economics, in press.

  8. Erdem, S. and Campbell, D. (2017). Preferences for public involvement in health service decisions: a comparison between best-worst scaling and trio-wise stated preference elicitation techniques. European Journal of Health Economics18: 1107-1123.

  9. van Osch, S., Hynes, S. O’Higgins, T., Hanley, N., Campbell, D. and Freeman, S. (2017). Estimating the Irish public's willingness to pay for more sustainable salmon produced by integrated multi-trophic aquaculture. Marine Policy84: 220-227.

  10. Meginnis, K. and Campbell, D. (2017). Students' preferences for attributes of postgraduate economics modules. International Review of Economics Education24: 18-27.

  11. Campbell, D., Mørkbak, M.R. and Olsen, S.B. (2017). Response time in online stated choice experiments: the non-triviality of identifying fast and slow respondents. Journal of Environmental Economics and Policy6: 17-35.

  12. Sandorf, E.D., Campbell, D. and Hanley, N. (2017). Disentangling the influence of knowledge on attribute non-attendance. Journal of Choice Modelling24: 36-50.

  13. Czajkowski, M., Budziński, W., Campbell, D., Giergiczny, M. and Hanley, N. (2017). Spatial heterogeneity of willingness to pay for forest management. Environmental and Resource Economics68: 705-727.

  14. Longo, A. and Campbell, D. (2017). The determinants of brownfields redevelopment in England. Environmental and Resource Economics67: 261-283.

  15. Campbell, D., Boeri, M., Doherty, E. and Hutchinson, W.G. (2015). Learning, fatigue and preference formation in discrete choice experiments. Journal of Economic Behavior and Organization119: 345-363.

  16. Erdem, S., Campbell, D. and Hole, A.R. (2015). Accounting for attribute-level non-attendance in a health choice experiment: does it matter? Health Economics24: 773-789.

  17. Campbell, D. and Erdem, S. (2015). Position bias in best-worst scaling surveys: a case study on trust in institutions. American Journal of Agricultural Economics97: 526-545.

  18. Erdem, S., Campbell, D. and Thompson, C. (2014). Elimination and selection by aspects in health choice experiments: prioritising health service innovations. Journal of Health Economics38: 10-22.

  19. Mørkbak, M.R., Olsen, S.B. and Campbell, D. (2014). Behavioral implications of providing real incentives in stated choice experiments. Journal of Economic Psychology45: 102-116.

  20. Campbell, D., Hensher, D.A. and Scarpa, R. (2014). Bounding WTP distributions to reflect the 'actual' consideration set. Journal of Choice Modelling11: 4-15.

  21. Campbell, D., Vedel, S.E., Thorsen, B.J. and Jacobsen, J.B. (2014). Heterogeneity in the WTP for recreational access: distributional aspects. Journal of Environmental Planning and Management57(8): 1200-1219.

  22. Doherty. E. and Campbell, D. (2014). Demand for safety and regional certification of food: results from Great Britain and the Republic of Ireland. British Food Journal116(4): 676-689.

  23. O'Neill, V., Hess, S. and Campbell, D. (2014). A question of taste: recognising the role of latent preferences and attitudes in analysing food choices. Food Quality and Preference32: 299-310.

  24. Doherty. E., Campbell, D., Hynes, S. (2013). Models of site-choice for walks in rural Ireland: exploring cost heterogeneity. Journal of Agricultural Economics64(2): 446-466.

  25. Doherty. E., Campbell, D., Hynes, S. and van Rensburg, T. (2013). Examining labelling effects within discrete choice experiments: an application to recreational site choice. Journal of Environmental Management125: 94-104.

  26. Hess, S., Stathopoulos, A., Campbell, D., Gibson, V. and Caussade, S. (2013). It's not that I don't care, I just don't care very much: confounding between attribute non-attendance and taste heterogeneity. Transportation40(3): 583-607.

  27. Campbell, D. and Doherty, E. (2013). Combining discrete and continuous mixing distributions to identify niche markets for food. European Review of Agricultural Economics40(2): 287-311.

  28. Stithou, M., Hynes, S., Hanley, N. and Campbell, D. (2012). Estimating the value of achieving 'good ecological status' in the Boyne river catchment using choice experiments. Economic and Social Review43(3): 397-422.

  29. Al Hamarneh, Y.N., Agus, A., Campbell, D., Crealey, G.E. and McElnay, J.C. (2012). Public perceptions of coronary events risk factors: a discrete choice experiment. BMJ Open2(5): 1-6.

  30. Willis, K., Ozdemiroglu, E. and Campbell, D. (2012). Environmental economics and policy. Journal of Environmental Economics and Policy1(1): 1-4.

  31. Campbell, D., Hensher, D.A. and Scarpa, R. (2012). Cost thresholds, cut-offs and sensitivities in stated choice analysis: identification and implications. Resource and Energy Economics34(3): 396-411.

  32. Campbell, D., Hensher, D.A. and Scarpa, R. (2011). Non-attendance to attributes in environmental choice analysis: a latent class specification. Journal of Environmental Planning and Management54(8): 1061-1076.

  33. Hynes, S. and Campbell, D. (2011) Estimating the welfare impacts of agricultural landscape change in Ireland: a choice experiment approach. Journal of Environmental Planning and Management54(8): 1019-1039.

  34. Hynes, S. and Campbell, D. and Howley, P. (2011) A holistic vs. an attribute-based approach to agri-environmental policy valuation: do welfare estimates differ? Journal of Agricultural Economics62(2): 305-329.

  35. Campbell, D., Aravena, C. and Hutchinson, W.G. (2011). Cheap and expensive alternatives in stated choice experiments: are they equally considered by respondents? Applied Economics Letters18(8): 743-747.

  36. Scarpa, R., Gilbride, T. J., Campbell, D. and Hensher, D. A. (2009). Modelling attribute non-attendance in choice experiments for rural landscape valuation. European Review of Agricultural Economics36: 151-174.

  37. Campbell, D., Hutchinson, W.G. and Scarpa, R. (2009). Using choice experiments to explore the spatial distribution of willingness to pay for rural landscape improvements. Environment and Planning A41(1): 97-111.

  38. Campbell, D., Hutchinson, W.G. and Scarpa, R. (2009). Assessing the spatial dependence of welfare estimates obtained from discrete choice experiments. Letters in Spatial and Resource Sciences1(2): 117-126.

  39. Campbell, D., Hutchinson, W.G. and Scarpa, R. (2008). Incorporating discontinuous preferences into the analysis of discrete choice experiments. Environmental and Resources Economics41(3): 401-417.

  40. Campbell, D. (2007). Willingness to pay for rural landscape improvements: combining mixed logit and random effects models. Journal of Agricultural Economics58(3): 467-483.

  41. Scarpa, R., Campbell, D. and Hutchinson, W.G. (2007). Benefit estimates for landscape improvements: sequential Bayesian design and respondents' rationality in a choice experiment study. Land Economics83(4): 401-417.

  42. Campbell, D., Hutchinson, W.G. and Scarpa, R. (2006). Quantifying the landscape benefits arising from the Rural Environment Protection Scheme: results from a public survey. Tearmann: Irish Journal of Agri-Environmental Research.

Book chapters

  1. Stevenson, L. and Campbell, D. (2015). Perceived effectiveness of different methods of delivering information on energy efficiency. In Heffron, R. and Little, G. (Eds.), Delivering Energy Policy in the EU and US: A Multi-Disciplinary Reader. Edinburgh University Press, Edinburgh.

  2. Campbell, D., Hess, S., Scarpa, R. and Rose, J. M. (2010). Accommodating coefficient outliers in discrete choice modelling: a comparison of discrete and continuous mixing approaches. In Hess, S. and Daly, A. (Eds.), Choice Modelling: the State-Of-The-Art and the State-Of-Practice - Proceedings From the Inaugural International Choice Modelling Conference. Emerald Group Publishing Limited, Bingley.

  3. Campbell, D., Hutchinson, W.G. and Scarpa, R. (2008). Using mixed logit models to derive individual-specific WTP estimates for landscape improvements under agri-environmental schemes: evidence from the Rural Environment Protection Scheme in Ireland. In Koundouri, P. and Birol, E. (Eds.) Choice Experiments Informing European Environmental Policy. Edward Elgar, Cheltenham.