Education and Labour Markets

What we do

The Education and Labour Markets team has extensive experience of all aspects of education economics and labour market policy analysis.

Our expertise is trusted by our clients, in both the public and private sector. We consider all the work that we undertake to form the basis of a long-term relationship and many of our clients return regularly for further analysis and research.

How we do it

We make use of a wide range of quantitative and qualitative methodologies and approaches to answer a variety of research questions, including:

Sophisticated econometric analysis

Covering a range of methodologies such as Ordinary Least Squares (OLS), Instrumental Variables (IV), Propensity Score Matching (PSM), Generalised Linear Models (GLM), Regression Discontinuity Design (RDD), and Fixed Effects panel estimations (FE).

Cost effectiveness and cost-benefit analysis

Identifying the monetary value associated with different policy outcomes, and comparing these economic benefits to the direct and opportunity costs associated with the policy to understand both the cost effectiveness of the policy and the relative size of the costs and benefits.

Policy evaluation and impact analysis

Isolating the net effect of a given policy, programme or project via Randomised Controlled Trials (RCTs) or Quasi-Experimental Designs (QED) such as Difference-in-Differences (DiD) analysis and Propensity Score Matching (PSM).

Methodological design

Proposing innovative and bespoke methodologies to approach the research question, without compromising on comprehensibility, suitability and feasibility.

Survey design and primary data collection

Comprising all elements of quantitative survey design, including questionnaire structure and content, sampling strategy and representative response weighting, as well as qualitative consultations and open-text surveying.

Secondary data cleaning, processing, and imputation

Extensive experience in preparing large-scale administrative datasets for analysis, including the use of fuzzy matching techniques and the imputation of missing data.

The team

Our core research team is comprised of:

Dr Gavan Conlon
[email protected]

Maike Halterbeck
Divisional Director
[email protected]

Pietro Patrignani
Senior Economic Consultant
[email protected]

Rhys Williams
Senior Economic Consultant
[email protected]