Structural Models of Price Dynamics: Advanced Inflation Analysis Training Course

Introduction

Understanding the structural forces driving price dynamics is central to effective inflation analysis and macroeconomic policy design. Structural models of price dynamics provide economists, policymakers, and financial analysts with the tools to examine the underlying mechanisms that determine how supply, demand, productivity, and policy interact to influence prices over time. Unlike reduced-form approaches, structural models emphasize causality, allowing for deeper insights into the persistence of inflation, the role of shocks, and the design of targeted interventions.

The Structural Models of Price Dynamics: Advanced Inflation Analysis Training Course equips participants with theoretical foundations, empirical applications, and practical modeling skills to analyze and forecast inflation with structural approaches. Through interactive lectures, case studies, and model-building exercises, participants will gain the expertise needed to interpret structural shocks, evaluate policy effectiveness, and apply advanced models in real-world economic analysis.

Duration: 10 Days

Target Audience:

  • Central bank economists and monetary policy advisors
  • Academic researchers and postgraduate economics students
  • Financial analysts and market forecasters
  • Government officials in economic planning institutions
  • Professionals in international financial organizations
  • Risk management and financial stability experts

Course Objectives:

  1. Understand the foundations of structural models in price dynamics
  2. Examine the role of supply and demand in price formation
  3. Analyze structural shocks and their inflationary impacts
  4. Apply structural models to inflation forecasting
  5. Compare structural approaches with reduced-form models
  6. Assess the impact of productivity, technology, and policy on prices
  7. Learn estimation techniques for structural models
  8. Interpret empirical results for policy applications
  9. Enhance skills in econometric software for model implementation
  10. Build capacity for advanced macroeconomic and inflation research

Course Modules:

Module 1: Introduction to Structural Models

  • Definition and scope
  • Structural vs reduced-form models
  • Importance in price analysis
  • Historical development
  • Applications in policy

Module 2: Price Formation Mechanisms

  • Role of supply and demand
  • Market imperfections
  • Productivity and technology effects
  • Labor market influences
  • Sectoral linkages

Module 3: Inflation and Structural Dynamics

  • Short-term vs long-term dynamics
  • Price stickiness and rigidities
  • Transmission mechanisms
  • Inflation persistence
  • Structural determinants

Module 4: Identifying Structural Shocks

  • Demand-side shocks
  • Supply-side shocks
  • Policy shocks
  • External shocks
  • Case examples

Module 5: Estimation of Structural Models

  • Econometric frameworks
  • Maximum likelihood approaches
  • Bayesian methods
  • Model validation
  • Practical challenges

Module 6: Structural VAR Applications

  • Identifying restrictions
  • Policy shock analysis
  • Inflation forecasting applications
  • Empirical examples
  • Interpretation of results

Module 7: Structural Phillips Curve Models

  • Theoretical foundations
  • Wage-price dynamics
  • Expectations and credibility
  • Policy trade-offs
  • Case studies

Module 8: Sectoral Price Dynamics

  • Energy and food prices
  • Housing and rental markets
  • Industrial goods and services
  • Global commodity markets
  • Structural influences on CPI

Module 9: Policy Analysis with Structural Models

  • Monetary policy transmission
  • Fiscal policy effects
  • Exchange rate linkages
  • External sector interactions
  • Policy evaluation exercises

Module 10: Structural Models vs Alternative Approaches

  • Comparison with VAR models
  • Comparison with DSGE models
  • Strengths and weaknesses
  • Complementary approaches
  • Practical implications

Module 11: Data Requirements and Challenges

  • Time series data quality
  • Cross-country datasets
  • Measurement issues
  • Dealing with missing data
  • Structural estimation techniques

Module 12: Global Experiences with Structural Models

  • Applications in developed economies
  • Emerging market perspectives
  • IMF and central bank approaches
  • Crisis period modeling
  • Lessons learned

Module 13: Forecasting with Structural Models

  • Building forecasting frameworks
  • Scenario planning
  • Shock simulations
  • Uncertainty analysis
  • Forecast evaluation

Module 14: Limitations of Structural Models

  • Over-parameterization risks
  • Data sensitivity
  • Complexity in estimation
  • Critiques in literature
  • Alternatives for robustness

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com. For More Details call: +254-114-087-180

 

Structural Models Of Price Dynamics: Advanced Inflation Analysis Training Course in Mauritius
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