Full Programme
Everything covered in this programme, so you can confirm it's the right fit before you complete your registration above.
Governments and regulators make decisions with long-lasting economic consequences, and the analysis behind those decisions is coming under closer examination from legislatures, courts, audit offices, development partners and citizens. Where economic appraisal is rushed, poorly documented or shaped to fit a preferred outcome, the result can be wasted public money, legal challenges to regulations and a loss of credibility for the institution that produced it.
The Governance and Compliance in Applied Economics & Policy Analysis Training Course focuses on the systems, standards and habits that keep policy analysis rigorous and accountable. It covers the institutional arrangements for analytical work, from roles and sign-off to independence safeguards, and then moves to regulatory impact assessment, compliance cost estimation and the appraisal of policy options using cost-benefit techniques. Participants learn how to quality-assure models and datasets, document assumptions, handle uncertainty and keep work reproducible. The final sessions address ex-post evaluation, stakeholder consultation, disclosure of evidence and the ethical duties of analysts working close to political decision-making.
The programme is practical and uses worked policy files on energy tariffs, agricultural subsidies, tax measures and business regulation. Participants critique sample impact assessments, rebuild a simple appraisal model with full documentation and draft a quality assurance protocol for their own unit.
Participants will leave able to:
It is intended for those who produce, commission or review economic evidence for public decisions:
You will take away:
Every session links analytical methods to the governance questions that surround them, using:
A CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy recognises full attendance and completion of the modelling labs and the quality assurance protocol.