Summer school

Risk Analysis and Risk Management in Agriculture: Updates on Modelling and Applications - 3 ECTS

The farm sector is affected by a large and changing set of risk sources including more volatile producer prices, unusual weather patterns, upstream and downstream market power along the value chain, increasing dependence on financial institutions, and political risks. This induces the need for (new) risk management tools. Also the Common Agricultural Policy is considering risk management as an important component of agricultural policy.

Organised by Wageningen School of Social Sciences (WASS)

Mon 24 June 2024 until Fri 28 June 2024

Duration Registration deadline:10 June 2024
Venue Leeuwenborch, building number 201
Hollandseweg 1
6706 KN Wageningen
+31 (0)317 48 36 39


Participants will learn theories concerning risk analysis and risk coping strategies and will develop proficiency with software to facilitate the initiation of their own research in topics related to risk in agriculture. The course deals with both conceptual and methodological issues.  

Target group and learning outcomes

The course is oriented toward PhD candidates, postdoctoral researchers and others with background in agricultural and applied economics.

After successful completion of this course students are expected to be able to:

  • Understand theories underlying risk measurement and risk management decision making.
  • Critically assess econometric analyses with regard to risk and risk management.
  • Undertake empirical projects on the topics of behavioural economics, production risk, asymmetric information and resilience.
  • Reflect on current (EU) policy developments with regard to risk management and resilience.

    Assumed prior knowledge:

    Before the start of the course students are required to have a basic understanding of statistics (Appendix A, B, and C from Wooldridge, 2015), econometrics (Chapters 1 and 2 from Wooldridge, 2015) and mathematical notation (Appendix D and E from Wooldridge, 2015). Further reading on Limited Dependent Variables Models (Chapter 17 from Wooldridge, 2015) and Panel Data Models (Chapters 13 and 14 from Wooldridge, 2015) is optional but highly suggested. We will work primarily with the software packages Stata and R. In order to get familiar with this software, please have a look at (i) introductory guides 1 ; 2 or more detailed tutorials 1 ; 2 for Stata and (ii) this introduction page for R.

    Wooldridge, J. M. (2015). Introductory econometrics: A modern approach. Nelson Education.

    Session Times

    The course consists of theory and method sessions, divided in interactive plenary sessions and breakout sessions for the presentation of theoretical aspects and practical sessions to provide exposure to analytical exercises, simulations, and econometric estimations. Practical sessions will include applications of the theory, computer analyses with actual data sets, and interpretations in practice.

    Outline of the course in hours

    The course will involve daily sessions in which sessions on theory (3 hours, mornings) are alternated with practical sessions 4 hours, afternoons). During the practical sessions, open ended questions will be formulated that need to be completed in order to pass the course.

    Course schedule

    Day Morning Afternoon Evening
    Day 1 24 June 9.00-10.00 Introduction 13.00-15.00 Utility 17.30 Joint dinner
    10.00-12.00 Risk Theories 15.00-17.00 Simulation and optimisation
    Day 2 25 June 9.00-10.00 Behavioural economics 13.00-15.00 Risk attitudes
    15.00-17.00 Behavioural economics
    Day 3 26 June 9.00-10.30 Measures of risk 13.00-15.00 Risk measures
    10.30-12.00 Production risk 15.00-17.00 Production risk
    Day 4 27 June 9.00-10.30 Asymmetric information 13.00-16.00 Asymmetric information
    10.30-12.00 Risk management and insurance 16.00-17.00 Policy debate on the role of risk in the new CAP 17.15 Informal drinks
    Day 5 28 June 9.00-11.30 From risk management to resilience 13.30-16.00 Resilience measures
    12.00-13.00 Seminar Busines Science 16.00-17.00 Closing speach: State of the art & outlook

    Course materials

    Reading materials prepared by the authors will be sent to participants in advance of the course. Articles and other accompanying materials will be distributed during the course.

    Requirements and ECTS

    Before the start of the course, participants submit a sheet with their expectations and background, and a definition of ‘risk’ in their own words (send to before 18 June 2024). During the course, participants will answer open questions at the end of each day. Completion of these 5 assignments is required to be eligible for the 3 credits (according to ECTS).

    Course fees

    WGS PhDs with TSP € 300
    a) All other PhD candidates b) Postdocs and staff of the above mentioned Graduate Schools € 640
    All others € 900

    The course fee includes additional training material, coffee/tea, lunches, a social dinner and informal reception.

    Cancellation conditions:

    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.