ECNP004 - Business and Policy Evaluation

This module information is representative of what is included in the module in a given year. Details of actual reading, lectures, assessment and coursework may vary year to year and will be available at the beginning of the semester. 

Module Co-ordinator

 Dr Danny Campbell





Credit value


Contact hours

40 contact hours


100% coursework, in the form of an individual assignment of 2000 words.

This module embeds elements of quantitative research methods that will be useful for writing consultancy projects and dissertation.  This module provides a rigorous introduction to quantitative methods applied in business and policy evaluation. It aims at giving students an overview of the main econometric methods used by economists that are used for evaluation.  This is intended to give students confidence in numerical aspects for their dissertation as well as for their future career in economics, business and policy. Quantitative methods are taught by examples using applications of evaluations conducted in fields such as management, environment and labour.  This module is a combination of lectures and hands-on lab sessions.

The main aims and objectives of the module are to:

  • Provide students with a more in-depth understanding of the theory and practice of the main statistical and econometric methods used for evaluation;
  • Equip students with the confidence to conduct appropriate statistical and econometric analysis when researching; and, 
  • Enable students to critically assess the results obtained from statistical and econometric analysis.

After completing this course a student is expected to have an appreciation of the key quantitative methods used by economists to evaluate policy and business outcomes.  This module will equip students who are interested in pursuing a career in this area with essential knowledge and expertise:

• Learn to appreciate the rationale behind econometric analysis in the field of energy management and cover a wide range of topics (including regression analysis, hypothesis testing, goodness of fit, heteroscedasticity and autocorrelation);
•Receive hands-on experience applying various econometric models to business and policy evaluation and they will learn a number of statistical and econometric software packages;
• Learn and apply a range of different non-market valuation techniques (including choice experiments, contingent valuation, hedonic pricing and travel cost) for valuing environmental goods and services;
• Understand theory and see its relevance and application outside the classroom; and,
• Learn to problem solve and apply numerical skills and data visualisation.

 Learning outcomes

By the end of the module, students are expected to have developed the following learning outcomes and skills: 

Specific knowledge and understanding of current developments in the subject:

  • Acquire knowledge, skills and experience for a successful career in business and policy analysis in public, private and non-profit sectors;
  • Develop an understanding of principles of economics and how these are applied to evaluate macroeconomic and microeconomic performances;
  • Develop an ability to design and apply data analysis to business and policy issues.

Generic skills (e.g. Information skills/oral and written communication skills/numeracy/team working/personal organisational skills):

  • Develop quantitative skills to enable the understanding and evaluation of official statistics, business and consulting reports, research and economic policy;
  • Develop and enhance capabilities and confidence for championing business and policy analysis across all type of organisations;
  • Understand the impact of sustainability on business and policy decisions and performance;
  • Develop consultancy skills.

Cognitive: (e.g. analytical/problem-solving/interpretative/critical reasoning):

  • Develop and enhance personal, critical, analytical, interpersonal, leadership and entrepreneurial skills. 

Introductory reading

To be confirmed.


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