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Vision Reach Global
Economics and Econometrics

Live Online Risk Management for Applied Economics & Policy Analysis Training Course

Live online, instructor-led · next cohort Nov 16, 2026 · from USD 800

Economic forecasts and policy appraisals are always uncertain, yet many cabinet memos, investment cases and regulatory proposals still present a single number as if it were a fact. When prices, exchange rates, uptake or implementation capacity turn out differently, budgets overrun and reforms lose credibility. Over five days economists and policy analysts learn to identify, quantify and communicate the risks inside their own analysis, so that decision makers see the range of likely outcomes and what drives it.

Upcoming live online sessions

Live Online

Nov 16 – 20, 2026

$800

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Live Online

Dec 14 – 18, 2026

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Live Online

Jan 11 – 15, 2027

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Live Online

Feb 8 – 12, 2027

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At a Glance

How Live Online Training Works

Live online training, led by a trainer in real time, for participants anywhere.

More about live online training →
Format
Live online, instructor-led
Duration
Mon - Fri (5 Days)
Fee
USD 800 (KES 80,000)
Next start dates
Nov 16, 2026, Dec 14, 2026, Jan 11, 2027
Certificate
Certificate of Completion
What you need
A computer with a reliable internet connection, a webcam and a headset

About this course

Policy choices are made under uncertainty about growth, prices, behaviour and the capacity of institutions to deliver. Analysts in ministries, central banks, regulators, think tanks and development agencies are expected not only to estimate the effects of a proposal but to explain how confident they are and what could go wrong. Analysis that ignores risk invites poor decisions; analysis that buries decision makers in technical caveats is ignored.

The Risk Management for Applied Economics & Policy Analysis Training Course gives participants a practical framework for treating risk as part of the analysis rather than an afterthought. The week begins with the distinction between risk and uncertainty and the sources of error in economic work, then moves through quantitative techniques for appraisal under uncertainty, risks in macroeconomic and fiscal analysis, and the model, data and behavioural risks that affect forecasts and evaluations. The final day focuses on governance and communication: quality assurance of analytical models, risk registers for policy implementation and presenting uncertainty to ministers and boards.

Participants work hands-on with spreadsheet models and policy cases, and complete a risk-adjusted appraisal of a policy or investment proposal drawn from their own field.

Training Objectives

On completion, participants should be able to:

  • Distinguish risk, uncertainty and ambiguity, and identify their sources in economic and policy analysis.
  • Perform sensitivity analysis, switching value tests and scenario analysis on cost-benefit models.
  • Build Monte Carlo simulations in Excel to estimate ranges and probabilities of policy outcomes.
  • Apply optimism bias adjustments and reference class forecasting to cost and benefit estimates.
  • Assess macro-fiscal, exchange rate and commodity price risks to policy proposals.
  • Evaluate model and data risks in forecasting and econometric results.
  • Communicate uncertainty to decision makers using fan charts, ranges and plain-language risk statements.

What you'll learn

Distinguish risk, uncertainty and ambiguity, and identify their sources in economic and policy analysis.
Perform sensitivity analysis, switching value tests and scenario analysis on cost-benefit models.
Build Monte Carlo simulations in Excel to estimate ranges and probabilities of policy outcomes.
Apply optimism bias adjustments and reference class forecasting to cost and benefit estimates.
Assess macro-fiscal, exchange rate and commodity price risks to policy proposals.
Evaluate model and data risks in forecasting and econometric results.
Communicate uncertainty to decision makers using fan charts, ranges and plain-language risk statements.

Key Takeaways

At the close of the programme participants hold:

  • A reusable Excel template for sensitivity, switching value and scenario analysis.
  • A working Monte Carlo model of a policy or project appraisal.
  • A checklist for quality assuring economic and forecasting models.
  • A policy implementation risk register with owners and mitigation actions.
  • A one-page briefing that presents uncertainty clearly to a minister or board.
  • A complete risk-adjusted appraisal of a proposal from their own field.

Training Methodology

The approach is analytical and applied, built on:

  • Spreadsheet labs on sensitivity analysis, scenarios and Monte Carlo simulation
  • Policy cases on infrastructure, tax, subsidy and regulatory reforms
  • Review of published fiscal risk statements and appraisal guidance
  • Drafting exercises for briefing notes and the risk sections of policy papers
  • Peer review of appraisals in small analyst teams
FAQ

Frequently Asked Questions About Live Online Risk Management for Applied Economics & Policy Analysis Training Course

Everything you need to know about this course before you register.

By the end of the Risk Management for Applied Economics & Policy Analysis programme, you'll be able to distinguish risk, uncertainty and ambiguity, and identify their sources in economic and policy analysis, perform sensitivity analysis, switching value tests and scenario analysis on cost-benefit models, build monte carlo simulations in excel to estimate ranges and probabilities of policy outcomes, and apply optimism bias adjustments and reference class forecasting to cost and benefit estimates. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Live Online Risk Management for Applied Economics & Policy Analysis Training Course? Chat with an advisor·Visit the full FAQ

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What Our Clients Say

VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.

Levis Wabwire

Levis Wabwire

Managing Director

They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

David Oketch

David Oketch

Strategy Lead

Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

Wendy Albright

Wendy Albright

Program Manager

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