Aberdeen University Featured PhD Programmes
University College London Featured PhD Programmes
University of Southampton Featured PhD Programmes
Sheffield Hallam University Featured PhD Programmes
Cardiff University Featured PhD Programmes

PhD in choice modelling

Project Description

This PhD project will focus on the modelling of choices and subjective wellbeing. The project will make use of a large number of choice-based datasets in various applied fields of economics: environmental, health, consumer and behaviour.

The student will work with Prof Danny Campbell, Dr Mirko Moro and Dr Erlend Dancke Sandorf to apply and develop cutting edge techniques for the econometric analysis of choices and subjective wellbeing for real problems.

The successful student will benefit from being part of the Applied Choice Research Group (https://www.acrg.site), which is a new and exciting research group established to provide a focal point for the research interests of staff within the Economics Division who work in various applied fields of choice modelling.

The Economics Division at The University of Stirling Management School is a vibrant community with world-leading academic credentials and strong professional links with interdisciplinary researchers, policy institutions and the business community. Our research programmes and collaborative research environment makes Stirling the ideal place for your PhD.

The successful candidate should have, or expect to obtain, an undergraduate degree in Economics (or related) and a postgraduate degree in Economics (or related).

The successful candidate must have a very strong background knowledge and experience in the use of statistics and quantitative economic modelling.

The successful candidate will be expected to deliver tutorials to undergraduate and/or taught postgraduate programmes. Therefore, the successful candidate must have strong communication skills.

The start date of the project is 1 Jan 2020 (or as .

To apply send your curriculum vitae by 16 December 2019.

Informal inquiries can be made to Prof Danny Campbell ().

Shortlisted applicants will be invited to attend a Skype interview.

Funding Notes

The tuition fees are fully covered for Home and EU students. The successful candidate will receive a stipend of £14,500 per year for 3 years.

International candidates can apply if they can meet the difference between UK/EU and International Tuition fees from their own resources. Further details on Ph.D. fee rates at the University of Stirling can be obtained from View Website.


Selected recent publications:

Erlend Dancke Sandorf, Danny Campbell (2019). Accommodating satisficing behaviour in stated choice experiments. European Review of Agricultural Economics, 46: 133-162.

Danny Campbell, Seda Erdem (2019). Including opt-out options in discrete choice experiments: Issues to consider. The Patient: Patient-Centered Outcomes Research, 12: 1-14.

Gianluca Grillia, Sandra Notaro, Danny Campbell (2018). Including value orientations in choice models to estimate benefits of wildlife management policies. Ecological Economics, 151: 70-81.

Caspar Chorus, Baiba Pudane, Niek Mouter, Danny Campbell (2018). Taboo trade-off aversion: A discrete choice model and empirical analysis. Journal of Choice Modelling, 27: 37-49.

Aemiro Melkamu Daniel, Lars Persson, Erlend Dancke Sandorf (2018). Accounting for elimination-by-aspects strategies and demand management in electricity contract choice. Energy Economics, 73: 80-90.

Danny Campbell, Morten Raun Mørkbak, Søren Bøye Olsen (2018). The link between response time and preference, variance and processing heterogeneity in stated choice experiments. Journal of Environmental Economics and Management, 88: 18-34.

Ellen J Van Loo, Rodolfo M Nayga, Jr, Danny Campbell, Han-Seok Seo, Wim Verbeke (2018). Using eye tracking to account for attribute non-attendance in choice experiments. European Review of Agricultural Economics, 45: 333-365.

Wiktor Budziński, Danny Campbell, Mikołaj Czajkowski, Urška Demšar, Nick Hanley (2017). Using geographically weighted choice models to account for the spatial heterogeneity of preferences. Journal of Agricultural Economics, 69: 606-626.

Seda Erdem, Danny Campbell (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 Economics, 18: 1107-1123.

Mikołaj Czajkowski, Wiktor Budziński, Danny Campbell, Marek Giergiczny, Nick Hanley (2017). Spatial heterogeneity of willingness to pay for forest management. Environmental and Resource Economics, 68: 705-727.

Suzanne van Osch, Stephen Hynes, Tim O’Higgins, Nick Hanley, Danny Campbell, Shirra Freeman (2017). Estimating the Irish public's willingness to pay for more sustainable salmon produced by integrated multi-trophic aquaculture. Marine Policy, 84: 220-227.

Erlend Dancke Sandorf, Danny Campbell, Nick Hanley (2017). Disentangling the influence of knowledge on attribute non-attendance. Journal of Choice Modelling, 24: 36-50.

Bui Bich Xuan, Erlend Dancke Sandorf, Margrethe Aanesen (2017). Informing management strategies for a reserve: Results from a discrete choice experiment survey. Ocean & Coastal Management, 145: 35-43.

Danny Campbell, Morten Raun Mørkbak, Søren Bøye Olsen (2017). Response time in online stated choice experiments: the non-triviality of identifying fast and slow respondents. Journal of Environmental Economics and Policy, 6: 17-35.

How good is research at University of Stirling in Business and Management Studies?

FTE Category A staff submitted: 42.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

FindAPhD. Copyright 2005-2019
All rights reserved.