Economics

The Economics Pathway offers a PhD-programme involving two years of advanced taught modules followed by either two (Lancaster and Liverpool) or three years of substantive research (Manchester). As part of the admission process, students are allocated an advisory team (usually of 2 people) with expertise in the area of study, that guides them through the PhD programme in terms of course selection and supervision of their research. Year 1 training is delivered through institutional MSc programmes. Year 2 training may involve courses offered at any of the three institutions. Entry into the programme is possible in Years 1 or 2 depending on qualifications.

Across the DTP, PhD students benefit from close research supervision, and are active members of their department’s research environment by attending weekly seminar series, research workshops and conferences. Final year PhD students are expected to present papers in their home institution’s seminar series and also have the opportunity to present their work at the other institutions in the DTP. The pathway has also established a popular annual NWSSDTP PhD Conference in Economics and runs an annual NWSSDTP Summer School in Economics. Upon completion of the PhD, graduates are expected to have acquired all necessary skills to pursue a research-driven career in academia, government, research organisations, or business.

Programmes eligible for NWSSDTP funding

N.B. Master’s programmes can only be funded as part of a 1+3/2+2/2+3 Studentship

Lancaster University

University of Liverpool

University of Manchester

For information on how to apply for funding, please visit our How to Apply page.

Pathway Representatives

Contact details for Economics Pathway Representatives at each institution can be found here

Current Economics NWSSDTP Students


andrewAndrew McKendrick

 

Essays in the Economics of Education

My research is focused on the link between education and value formation, and the effects of one’s religiosity on educational outcomes. Datasets: The UK Labour Force Survey (LFS) and the Longitudinal Study of Young People in England (LSYPE, a.k.a Next Steps). Methods: Instrumental variables (IV), and Inverse Probability Weighting Regression Adjustment (IPWRA), and Propensity Score Matching (PSM).


NWDTC-DTP Rose LogoKaori Narita (2017 Cohort)

  • University of Liverpool
  • Email Address: psknarit@liverpool.ac.uk
  • MethodsX Stream:  Quantitative Methods / New Forms of Data/Digital Methods

 

Exploring Managerial Decisions and Their Impacts on Firm Performance and Incentives of Workers Using Data from Professional Football

Sport economics thrives on testing labour economics theory due to analogies that exist between economic agents in these fields and quality data available in professional sport. Econometric analysis of match statistics from professional football is conducted to examine the effect of managerial decisions, such as dismissal of managers, on firm performance.


FarnellAlex Farnell (2018 Cohort)

 

Labour Markets in Professional Sports

My research focuses on labour market and personnel issues in the world of professional sports. Current work is exploring the relationship between race and coaching hierarchy in the NFL, and in particular the role of the league’s Affirmative Action policy, the ‘Rooney Rule’. Subsequent work will include studying task allocation and fatigue amongst baseball pitchers.


GrebeMichael Grebe (2018 Cohort)

  • University of Manchester
  • Email Address : michael.grebe@postgrad.manchester.ac.uk
  • MethodsX Stream:  Quantitative Methods

 

The role of Big Data and Machine Learning in quantitative investment strategies

My research evaluates the role of Big Data and Machine Learning in quantitative investment strategies, focusing on portfolio selection and the prediction of out-of-sample directional movements of financial time series.


Oezcelik_verticalYigit Oezcelik (2018 Cohort)

 

Strategic product complexity and protection of vulnerable consumers

Consumer decision-making is imperfect for various reasons such as behavioural biases, limitations in cognitive abilities or insufficient knowledge. It has been shown that firms deliberately increase their product complexity to further confuse and exploit error-prone consumers. This project aims to theoretically and experimentally analyse firms’ complexity decisions and develop measures to protect vulnerable consumers.


 

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