The National Bank of Rwanda’s 2019 shift to a price-based framework necessitates advanced time-series econometrics for inflation forecasting and the management of the Forecasting and Policy Analysis System (FPAS).
Virtual Training
Applied Economics, Policy, and Financial Modelling
Econometrics Techniques Online Course
Join our virtual, live instructor-led session and master Econometrics Techniques Training from anywhere in the world.
5 Days
Duration
Live Online
Delivery
12 Dates
Available
Certificate
Included
Master econometrics techniques to build credible models, test assumptions, and produce decision-ready analysis through hands-on applied workflows.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| ECT-01 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ECT-01 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ECT-01 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ECT-01 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ECT-01 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → | ||
| ECT-01 | Mon - Fri (5 Days) | USD 1,050 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Econometrics Foundations and Model Logic
2
Data Preparation and Diagnostics
3
Ordinary Least Squares Estimation
4
Regression Assumption Testing
5
Panel Data Methods
6
Time-Series Econometrics and Forecasting
7
Applied Reporting and Decision Support
Market-specific guidance for Rwanda
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
3Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Stata StataCorpThe primary tool used by NISR and the African Centre of Excellence in Data Science (ACE-DS) for household survey analysis and poverty modeling.
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Power BI MicrosoftUsed by NISR for real-time data validation and the dissemination of statistical indicators via interactive dashboards.
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REDCap Vanderbilt UniversityStandardized platform in Rwanda for secure data collection and automated export to econometric software packages.
Real-World Case Studies from Rwanda
2-
Impact Evaluation of the Vision Umurenge Program (VUP) 2024National Institute of Statistics of Rwanda (NISR)
Researchers applied Propensity Score Matching (PSM) and other econometric matching methods to household survey data to estimate the causal effect of unconditional cash transfers on poverty headcount and food consumption.
The analysis provided robust evidence that while the program significantly reduced the poverty gap, the transfer amounts were often insufficient to lift households entirely above the national poverty line, informing subsequent policy adjustments.
View source -
Short-term Inflation Forecasting Innovation 2025National Bank of Rwanda (BNR)
The BNR Research Department conducted a comparative study using Elastic Net regression and other econometric models to enhance the accuracy of Near-Term Forecasting (NTF) for core, food, and energy inflation.
The study demonstrated that advanced regression techniques outperformed existing systems, leading to recommendations for a hybrid modeling approach to improve the Bank's economic projections.
View source
Where this course runs
Econometrics Techniques Training is delivered in the cities below — pick the one that fits your schedule.
