Modelisation and economic prospective (DROI853_SOLEM )

• Semester 8
• Duration :  Within one semester  
• Type: Mandatory

• Student workload:  Lecture (CM): 10,5 hours + W hours of self-study
  

• Applicability: SOLEM course only 

• Module examination:  1 individual oral presentation  (100%) 

• Teaching and learning method : case studies

Responsible person for the module: Dorothée Charlier 

Major intended learning outcomes 

The objective of this course is to provide an overview of modelling issues around the themes of energy, climate, and natural resources, particularly from the perspective of climate, energy, and environmental foresight. 

The disciplinary fields taught include: 

-a presentation of the main tools of modelling (bottom-up and top-down models and econometric tools) 

- the main principles of economic theory and its applications to decision-making (cost-benefit analyses, decision-making under uncertainty, taking into account rebound effects, etc.) 

This course is linked to the course on public policy evaluation.  

Correspondence between major intended learning outcomes and assessment 

The evaluation is therefore based on a set of academic papers that use modeling and foresight tools to make public policy recommendations. The objective is to assess the general understanding of these models.  

Introduction 

1. Ex-post/ ex-ante, top-down/bottom-up methods 

1. Econometrics tools for policy evaluation 

1. Examples : students’ presentation 

Conclusion 

Lecture Notes 
Text books:  

P. Baudry, Efficacité énergétique Des principes aux réalités, ed Lavoisier tec & doc 

Cyril Bourgeois, Louis-Gaëtan Giraudet, Philippe Quirion,2021, Lump-sum vs. energy-efficiency subsidy recycling of carbon tax revenue in the residential sector: A French assessment, Ecological Economics, Volume 184, 

Paul De Grauwe, 2010. "Top-Down versus Bottom-Up Macroeconomics," CESifo Working Paper Series3020, CESifo. 

Matthias Reuter, Kapil Narula, Martin K. Patel, Wolfgang Eichhammer, 2021, 

Linking energy efficiency indicators with policy evaluation – A combined top-down and bottom-up analysis of space heating consumption in residential buildings, Energy and Buildings, Volume 244, 

Tuladhar, Sugandha D ; Yuan, Mei ; Bernstein, Paul ; Montgomery, W. David ; Smith, Anne, A top–down bottom–up modeling approach to climate change policy analysis, Energy economics, 2009, Vol.31, p.S223-S234 

Yang, Xining & Hu, Mingming & Tukker, Arnold & Zhang, Chunbo & Huo, Tengfei & Steubing, Bernhard, 2022. "A bottom-up dynamic building stock model for residential energy transition: A case study for the Netherlands," Applied Energy, Elsevier, vol. 306(PA).