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 →
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 →
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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 Serbia

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Why this course matters in Serbia

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

In Serbia, the push for EU accession under Chapter 17 (Economic and Monetary Policy) and Chapter 18 (Statistics) has made advanced econometric modeling a mandatory competency for policy and financial analysts. With the National Bank of Serbia (NBS) employing complex VAR and DSGE models for inflation targeting and the Fiscal Council providing rigorous oversight of public debt, there is intense pressure on technical teams to produce defensible, evidence-based forecasts. This course equips Serbian professionals to meet Eurostat standards and navigate the transition to the new Law on Official Statistics, ensuring that organizational decisions are backed by statistically sound models rather than simple extrapolations.

EU Statistical Alignment

The Statistical Office of the Republic of Serbia (SORS) is currently harmonizing with EU Regulation 223/2009, requiring local analysts to adopt the European Statistics Code of Practice, which emphasizes methodological robustness and reproducible econometric workflows.

Monetary Policy Rigour

The National Bank of Serbia (NBS) utilizes a Quarterly Projection Model (QPM) and Structural Vector Autoregression (SVAR) to anchor inflation expectations; professionals in the banking sector must understand these techniques to align their own risk and liquidity models with central bank signals.

Fiscal Impact Modeling

The Serbian Fiscal Council frequently uses econometric analysis to evaluate the impact of public investment on GDP growth, meaning public sector research officers must be proficient in testing for endogeneity and structural breaks to produce credible policy briefs.

The 2025/2026 adoption of the new Law on Official Statistics and the ongoing Economic Reform Programme (ERP) demand a higher level of technical transparency in economic reporting, making this training essential for those defending national or sectoral data to international monitors like the IMF and European Commission.

Tools and platforms relevant to this field

4

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • EViews S&P Global
    The primary tool used by the National Bank of Serbia for time-series forecasting and macroeconomic modeling.
  • Stata StataCorp
    Widely adopted by the Serbian Fiscal Council and academic researchers for panel data analysis and policy evaluation.
  • R (with plm and forecast packages) The R Foundation
    Increasingly used in Serbian data science teams for open-source reproducible econometric research and ARIMA modeling.
  • SmartPLS SmartPLS GmbH
    Utilized in Serbian banking research for Structural Equation Modeling (SEM) to analyze core banking solution performance.

Real-World Case Studies from Serbia

1
  • Inflation Determinants Analysis 2022
    National Bank of Serbia (NBS)

    NBS researchers applied ARDL and SVAR models to disentangle the impact of global primary commodity prices versus domestic factors like exchange rate depreciation on Serbian inflation dynamics over a 15-year period.

    The study successfully identified the statistical significance of anchored inflation expectations and exchange rate stability in mitigating domestic price volatility.

    View source

Where this course runs

Econometrics Techniques Training is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

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