Assessing Economic Policies Using the Real Options Methodology - 3 ECTS
| Program start date | Application deadline |
| 2026-02-02 | - |
Program Overview
Assessing Economic Policies Using the Real Options Methodology - 3 ECTS
The course addresses the issue of irreversibility from an economic point of view. Different approaches dealing with irreversibilities have emerged in the economic literature. The two most prominent ones are the quasi option and real option value theory. Application of both approaches requires technical skills most students find difficult.
Course Description
The objective of the course is to introduce the origins of the quasi option value and real option values, to teach the methods most commonly used (discrete methods such as decision trees; continuous time, continuous state models using stochastic processes; Itó calculus), and to discuss and practice various applications including non-renewable resource use, technology adoption, climate change, forestry, and food- and bio-safety.
Course Structure
The course will include two parts. One week of lectures and exercises with assignments and a course paper. For passing the course, students need to participate in lectures and exercises (min. 90%) and submit the course paper within six months after the course.
Learning Outcomes
After successful completion, participants are expected to be able to:
- know the economic implications and relevance of the irreversibility effect
- understand economic papers that apply real option models
- apply discrete state models for decision under uncertainty and irreversibility
- know the steps from discrete time, discrete state to continuous time, continuous state models
- develop real option models and analyze the results using numerical simulation methods
Activities
- Lectures on the skills needed (25%)
- Practicals deepening the skills obtained (25%)
- Course paper applying the skills obtained (50%)
Assessment
Course paper between 10 and 20 pages.
Assumed Prior Knowledge
Good micro-economic knowledge and in particular calculus (derivatives, integrals), basic knowledge in stochastic processes and differential equations is an advantage.
Target Group
PhD candidates. Min. 10 participants, max. 25 participants.
Schedule
| Monday | Tuesday | Wednesday | Thursday | Friday
---|---|---|---|---
9.00-10.00 | Preparing | Preparing | Preparing | Preparing | Preparing
10.00-11.30 | Introduction, Review Discounting and Integrals | Samuelson Theorem Random Walk | Investment Model Continuous Time | Continuous Time and Discrete State: Hazard Rate Function | Combination of Wiener Process and Jump Process
11.30-11.45 | Coffee break | Coffee break | Coffee break | Coffee break | Coffee break
11.45-13.15 | Exercises on Discounting and Integrals | Wiener Process and Itô Calculus | Estimating Drift and Variance Rates | Real Option and the Law, Precautionary Principle | Applications Combined Processes: Minimum Distance Requirements
13.15-14.30 | Lunch break | Lunch break | Lunch break | Lunch break | Lunch break
14.30-16.00 | Financial, Quasi, and Real Options. Some Commonly used Terminology | Examples and Exercises: Discrete Investment | Exercises and Examples Continuous Time | Examples and Exercises: Golden Rice, Foregone Benefits | Summary, Feedback and Course Evaluation
16.00-16.30 | Coffee break | Coffee break | Coffee break | Coffee break | Coffee break
16.30-18.00 | Exercises: Discrete Time and State | Example and Exercises: Discrete Investment | Exercises and Examples Continuous Time | Examples and Exercises: Storage Policies |
18.30-20.30 | | | | Course dinner H41 |
Course Fees
- WGS PhD's with an approved TSP: € 250
- Other PhD's, postdocs and academic staff: € 540
- All others: € 750
Cancellation Conditions
The participants can cancel their registration free of charge 1 month before the course starts. A cancellation fee of 100% applies if a participant cancels his/her registration less than 1 month prior to the start of the course.
The organisers have the right to cancel the course no later than one month before the planned course start date in the case that the number of registrations does not reach the minimum.
The participants will be notified of any changes at their e-mail addresses.
