Evaluation

Economic Analysis & Modelling

Randomised Controlled Trials

Surveys & Longitudinal Data

Systematic Review & Rapid Evidence Assessment

Big Data

Methods

We are a methods-led research and evaluation unit. We deploy a wide range of methods to help policy-makers answer important questions, from better understanding people’s needs to finding out whether a policy worked.

Making sure that we use the most appropriate method to answer a particular research or evaluation question is one of the most important parts of any project we undertake. We spend time discussing methods options with stakeholders and sometimes undertake a ‘Feasibility Study’ prior to starting a research project.

Methodological innovation is at the heart of what we do and we enjoy teaching and writing about methods. We teach methods to both undergraduate and post-graduate students at Manchester Metropolitan University and our writing on methods includes textbooks and articles published in academic journals.

Our Expertise


Contact our team to find out more peru@mmu.ac.uk

We seek to answer four main research questions: Should it work? Can it work? Does it work? Is it worth it?

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Contact our team to find out more peru@mmu.ac.uk

We carry out microsimulation modelling to estimate the fiscal, distributional and poverty effects of tax and benefit policy and economic analysis to evaluate the costs and benefits of individual projects

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Contact our team to find out more peru@mmu.ac.uk

We undertake randomized field trials (RCTs or social experiments) in order to evaluate the impact of social interventions

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We design, deliver and analyse surveys of all kinds and at all stages

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We use the Rapid Evidence Assessment (REA) methodology to produce high-quality evidence assessments in a timescale that fits the needs of policy-makers

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Contact our team to find out more peru@mmu.ac.uk

We focus on advancing novel methodological approaches in geostatistics, machine learning and agent-based simulation (ABM) to enable us to unlock the potential of big data:

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