We utilise in-depth analysis to assess higher education fees and funding systems, as well as the impact of higher education on individuals, the Exchequer and society.

We work for:

• Higher education institutions
• Think tanks, unions and charities
• Membership associations
• Government departments

Working with providers and policy makers, we deliver expert research and recommendations relating to the incidence and outcomes associated with apprenticeships and other vocational qualifications at all levels.

We work for:

• Government departments
• Qualification providers
• Think tanks
• Unions and charities

We cover all aspects of the secondary education system, including issues relating to educational attainment and child outcomes, qualification regulation, special education needs, student destinations and wider wellbeing.

We work for:

• Government departments
• Charities
• Representative Associations
• Schools

We apply extensive experience of quantitative analysis and our knowledge of secondary data sets to measure the impact of qualification attainment and other government policies on earnings and employment outcomes.

We work for:

• Regulatory bodies
• Public sector organisations
• Training providers
• Private companies

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).

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.

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).

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

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.

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