Staff Profile:Dr James Reade

Name:

Dr James Reade

Job Title:

Associate Professor

Responsibilities:

PGR Director

Areas of Interest:

Applied Econometrics, economics of sport, macroeconomics.

Research supervision

I am interested in supervising research in applied economic areas, in particular applications in the area of sport. As sports are very well measured, and the incentives well understood, they can be ideal for the investigation of economic theories. I have published research investigating a range of economic phenomena using sports data; for example, discrimination and market efficiency. Many aspects of labour market functioning (workplace productivity, the impact of immigration and changes in regulatory oversight) and managerial decisions can, and have been investigated. Sport also enables classic economic issues to be analysed within the context of sport, for example the demand for attendance at sport, and strategic decisions made on the field. Data on sport has been extensively collected for decades, even centuries, enabling economic history analyses over long periods of time, and studies of important periods of change in sports.

Feedback and consultation hours:

• Tuesdays, 13:00 - 14:00
• Thursdays, 10:00 - 11:00
• Fridays, 13:00-14:00

Research groups / Centres:

Publications:

Y

Jump to: 2019 | 2018 | 2016 | 2015 | 2014 | 2013 | 2011 | 2008

Number of items: 14.

2019

• Brown, A. and Reade, J. J. (2019) The wisdom of amateur crowds: evidence from an online community of sports tipsters. European Journal of Operational Research, 272 (3). pp. 1073-1081. ISSN 0377-2217 doi: https://doi.org/10.1016/j.ejor.2018.07.015
• Reade, J. J. and Vaughan Williams, L. (2019) Polls to probabilities: comparing prediction markets and opinion polls. International Journal of Forecasting, 35 (1). pp. 336-350. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2018.04.001
• Brown, A., Reade, J. J. and Vaughan Williams, L. (2019) When are prediction market prices most informative? International Journal of Forecasting, 35 (1). pp. 420-428. ISSN 0169-2070 doi: https://doi.org/10.1016/j.ijforecast.2018.05.005

2018

• Pretis, F., Reade, J. and Sucarrat, G. (2018) Automated General-to-Specific (GETS) regression modeling and indicator saturation methods for the detection of outliers and structural breaks. Journal of Statistical Software, 86 (3). ISSN 1548-7660 doi: https://doi.org/10.18637/jss.v086.i03
• Brown, A., Rambacussing, D., Reade, J. J. and Rossi, G. (2018) Forecasting with social media: evidence from Tweets on soccer matches. Economic Inquiry, 56 (3). pp. 1748-1763. ISSN 1465-7295 doi: https://doi.org/10.1111/ecin.12506

2016

• Kilduff, G. J., Galinsky, A. D., Gallo, E. and Reade, J. J. (2016) Whatever it takes: rivalry and unethical behavior. Academy of Management Journal, 59 (5). pp. 1508-1534. ISSN 1948-0989 doi: https://doi.org/10.5465/amj.2014.0545
• Vaughan Williams, L. and Reade, J. J. (2016) Prediction markets, social media and information efficiency. Kyklos, 69 (3). pp. 518-556. ISSN 1467-6435 doi: https://doi.org/10.1111/kykl.12119
• Vaughan Williams, L. and Reade, J. J. (2016) Forecasting elections. Journal of Forecasting, 35 (4). pp. 308-328. ISSN 1099-131X doi: https://doi.org/10.1002/for.2377

2015

• Di Fatta, G., Reade, J., Jaworska, S. and Nanda, A. (2015) Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign. In: The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015), Dec. 19-21, 2015, Chengdu, China. (In Press)

2014

• Reade, J. (2014) Information and predictability: bookmakers, prediction markets and tipsters as forecasters. Journal of Prediction Markets, 8 (1). pp. 43-76. ISSN 1750-6751 doi: 10.5750%2Fjpm.v8i1.865

2013

• Croxson, K. and James Reade, J. (2013) Information and efficiency: goal arrival in soccer betting. The Economic Journal, 124 (575). pp. 62-91. ISSN 0013-0133 doi: https://doi.org/10.1111/ecoj.12033
• Gallo, E., Grund, T. and James Reade, J. (2013) Punishing the foreigner: implicit discrimination in the Premier League based on oppositional identity. Oxford Bulletin of Economics and Statistics, 75 (1). pp. 136-156. ISSN 1468-0084 doi: https://doi.org/10.1111/j.1468-0084.2012.00725.x

2011

• James Reade, J. and Volz, U. (2011) Leader of the pack? German monetary dominance in Europe prior to EMU. Economic Modelling, 28 (1-2). pp. 239-250. ISSN 0264-9993 doi: https://doi.org/10.1016/j.econmod.2010.09.006

2008

• Spanos, A., Hendry, D. F. and James Reade, J. (2008) Linear vs. log-linear unit-root specification: an application of mis-specification encompassing. Oxford Bulletin of Economics and Statistics, 70 (s1). pp. 829-847. ISSN 1468-0084 doi: https://doi.org/10.1111/j.1468-0084.2008.00532.x

This list was generated on Thu Feb 21 04:25:06 2019 UTC.

• 'Prediction Markets, Social Media and Information Efficiency', 2016, with Leighton Vaughan Williams, Kyklos, Vol. 69, Issue 3, pp. 518-556.
• 'Whatever It Takes: The Effects of Rivalry on Unethical Behaviour,' with Edoardo Gallo (Oxford) and
• Gavin Kilduff (NYU). The Academy of Management Journal, Volume 59, October 2016, pp. 1508-1534.
• 'Forecasting Elections', 2016, with Leighton Vaughan Williams, Journal of Forecasting, Vol. 35, Issue 4, pp. 308-328.
• 'General-to-Specific (GETS) Modelling And Indicator Saturation With The R Package Gets', with Felix Pretis and Genaro Sucarrat, 2016, University of Oxford Department of Economics Discussion Paper Series, No. 794.
• 'Forecasting and Forecast Narratives: The Bank of England Inflation Reports', with Michael P. Clements, 2016, ICMA Centre Discussion Paper, University of Reading.

Qualifications:

BA Economics, Durham, Mphil and Dphil Economics, Oxford.

For  more details go to: sites.google.com/site/jjamesreade/