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Experimental Methods in Business Research
A research group of the Business School.
The adoption of controlled experiments is one of the most important trends in business research. It largely stems from the desire to move beyond empirically documenting correlations of factors to establishing causation.
This trend is evident in the rapidly increasing number of papers using experimental methods in top journals and its potential to generate impact (see FT article). Further, for schools that emphasise research-led teaching, experimental research is one of the types most easily brought to the classroom.
The Experimental Methods in Business Research Group (EMBR) provides an umbrella for the development of the research infrastructure and the intellectual environment for experimental-based research at Durham University Business School, as well as the Durham University research community at large. The research group is interdisciplinary and includes members from outside the Business School from Psychology and Political Science.
In terms of research infrastructure, EMBR overseas the management and development of the Experimental Science Lab at the Wolfson Research Institute at the University's Queen's Campus. The development of the intellectual environment involves the running of a workshop series, research conferences, and the supervision of PhD students.
Many of EMBR’s activities are done in concert with a close relationship with the Behavioral Economics Northeast Cluster. BENC is a collaborative effort between Durham University Business School and Newcastle University Business School. BENC promotes and facilitates experimental and behavioural research in the domains of academia, policy and business, and promotes the international visibility of Northeast England as leader in these areas. In addition, the cluster helps identify and support a critical mass of expertise under one visible banner, greatly increasing the potential impactful outreach within the public and private sectors. BENC delivers a series of workshops hosted by both internal and external speakers. The location alternates between Durham University Business School and Newcastle University.
The five-year objective of the EMBR group is to place Durham in the premier bracket of UK institutions for experimental business research in the UK and establish a strong global reputation.
- Consistently publishing 3- and 4-star quality research in the areas of economics, finance, accounting, operations management, marketing, and organisational behaviour.
- Attracting and supervising high-calibre PhD students capable of winning NEDTC studentships or other competitive scholarships, and the placement of PhD graduates at leading research universities, as well as research positions in the public and private sector.
- Successful engagement with public and industry partners incorporating experimental methods that lead to high quality impact
Department of Economics and Finance, Durham University Business School, Mill Hill Lane, Durham, DH1 3LB
Faculty, Durham University Business School, Mill Hill Lane, Durham DH1 3LB
- Dr Xiaogang Che
- Associate Professor Li Ding
- Dr Kenju Kamei
- Dr Arzé Karam
- Professor Morten Lau
- Mr Anthony Miller
- Professor Mike Nicholson
- Dr Jinrui Pan
- Prof Jason Shachat
- Professor Sarah Xiao
- Professor Hong Il Yoo
Publications by staff in this group
- Kamei, K. (2018). Promoting Competition or Helping the Less Endowed? Distributional Preferences and Collective Institutional Choices under Intra-Group Inequality. Journal of Conflict Resolution 62(3): 626-655.
- Shachat, J. & Zhang, Z. (2017). The Hayek hypothesis and long run competitive equilibrium: an experimental investigation. Economic Journal 127(599): 199-228.
- Kamei, K. & Putterman, L. (2017). Play it Again: Partner Choice, Reputation Building and Learning from Finitely-Repeated Dilemma Games. The Economic Journal 127(602): 1069-1095.
- Doiron, D. & Yoo, H.I. (2017). Temporal stability of stated preferences: the case of junior nursing jobs. Health Economics 26(6): 802-809.
- Oviedo, J.L. & Yoo, H.I. (2017). A latent class nested logit model for rank-ordered data with application to cork oak reforestation. Environmental and Resource Economics 68(4): 1021-1051.
- Cox, C.A., Karam, A. & Murphy, R.J. (2017). Social preferences and cooperation in simple social dilemma games. Journal of Behavioral and Experimental Economics 69: 1-3.
- Hansen, J.V., Jacobsen, R.H. & Lau, M.I. (2016). Willingness to pay for insurance in Denmark. Journal of risk and insurance 83(1): 49-76.
- Lam, H.Y.T., Doukas, A.J., Guo, M. & Xiao, S. (2016). Media endorsements of new product announcements a new marketing strategy. European financial management 22(3): 394-426.
- Sun, J., Ding, L., Guo, M. & Li, Y. (2016). Ownership, Capital Structure and Financing Decision: Evidence from the UK. The British Accounting Review 48(4): 448-463.
- Che, X. & Klumpp, T. (2016). Entry Deterrence in Dynamic Second-Price Auctions. American Economic Journal: Microeconomics 8(2): 168-201.
- Nielsen, I., Gu, J., Shachat, J., Smyth, R. & Peng, Y. (2016). An experimental study of the effect of intergroup contact on attitudes in urban China. Urban Studies 53(14): 2991-3006.
- Damianov, D.S. & Escobari, D. (2016). Long-Run Equilibrium Shift and Short-Run Dynamics of U.S. Home Price Tiers during the Housing Bubble. Journal of Real Estate Finance and Economics 53(1): 1-28.
- Abul Naga, R. H., Shen, Y. & Yoo, H. I. (2016). Joint Hypothesis Tests for Multidimensional Inequality Indices. Economics Letters 141: 138-142.
- Kamei, K. (2016). Democracy and Resilient Pro-Social Behavioral Change: An Experimental Study. Social Choice and Welfare 47(2): 359-378.
- Antoniou, C., Harrison, G.W., Lau, M.I. & Read, D. (2015). Subjective bayesian beliefs. Journal of risk and uncertainty 50(1): 35-54.
- Shachat, J., Swarthout, J. & Wei, L. (2015). A Hidden Markov Model for the Detection of Pure and Mixed Strategy Play in Games. Econometric Theory 31(04): 729-752.
- Shachat, J. & Tan, L. (2015). An Experimental Investigation of Auctions and Bargaining in Procurement. Management Science 61(5): 1036-1051.
- Che, X. & Humphreys, B. R. (2015). Competition Between Sports Leagues: Theory and Evidence on Rival League Formation in North America. Review of Industrial Organization 46(2): 127-143.
- Geng, S., Peng, Y., Shachat, J. & Zhong, H. (2015). Adolescents, Cognitive Ability, and Minimax Play. Economics Letters 128: 54-58.
- Damianov, D.S. (2015). Should Lotteries Offer Discounts on Multiple Tickets?. Economics Letters 126: 84-86.
- Iyer, G.R., Xiao, S., Sharma, A. & Nicholson, M. (2015). Behavioral issues in price setting in business-to-business marketing: a framework for analysis. Industrial marketing management 47: 6-16.
- Escobari, D., Damianov, D.S. & Bello, A. (2015). A Time Series Test to Identify Housing Bubbles. Journal of Economics and Finance 39(1): 136-152.
- Moffat, J. & Yoo, H. I. (2015). Who are the unemployed? Evidence from the United Kingdom. Economics Letters 132: 61-64.
- Zhang, Z., Ding, L., Zhang, F. & Zhang, Z. (2015). Optimal Currency Composition for China’s Foreign Reserves: a Copula Approach. World Economy 38(12): 1947-1965.
- Girolamo, A. D., Harrison, G. W., Lau, M. I. & Swarthout, J. T. (2015). Subjective Belief Distributions and the Characterization of Economic Literacy. Journal of Behavioral and Experimental Economics 59: 1-12.
- Kamei, K. & Putterman, L. (2015). In Broad Daylight: Fuller Information and Higher-Order Punishment Opportunities Can Promote Cooperation. Journal of Economic Behavior and Organization 120: 145-159.
- Pan, J., Webb, C.S. & Zank, H. (2015). An Extension of Quasi-hyperbolic Discounting to Continuous Time. Games and Economic Behavior 89: 43-55.
- Kamei, K., Putterman, L. & Tyran, J.R. (2015). State or nature? Endogenous formal versus informal sanctions in the voluntary provision of public goods. Experimental Economics 18(1): 38-65.
Chapter in book
- Che, X. & Humphreys, B.R (2015). Rival Sports League Formation and Competition. In The Economics of Competitive Sports. Rodriguez, P. Kesenne, S. & Garcia, J. Cheltenham, UK: Edward Elgar Publishing.