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YE12.1 Numerical models

YE12.1 Numerical models. Course . 1 Introduction 2 Optimisation 3 Dynamic Models 4 Game Theory 5 Age-structure. How to pass the course. Assignments 60% Term paper 40% deadline 31.5. 1-3 group Own model Applying lecture examples. Why numerical models?. Practical/emipirical studies

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YE12.1 Numerical models

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  1. YE12.1 Numerical models

  2. Course • 1 Introduction • 2 Optimisation • 3 Dynamic Models • 4 Game Theory • 5 Age-structure

  3. How to pass the course • Assignments 60% • Term paper 40% deadline 31.5. • 1-3 group • Own model • Applying lecture examples

  4. Why numerical models? • Practical/emipirical studies • Illustrating analytical models • Sometimes the only way to solve problems

  5. On numerical models • Functionalform • Estimatedparameters (statistics, econometrics) • -Not general results • +Alsoquantitativeresults, eghowmuchdemandchangeswhenpricechanges

  6. Solving • Algorithms • How to tell the computer what needs to be computed? • Computing power & algorithm speed

  7. Research • S. Kulmala, H. Peltomäki, Marko Lindroos, P. Söderkultalahti & S. Kuikka [2007]: “Individual Transferable Quotas in the Baltic Sea Herring Fishery: a Socio-bioeconomic Analysis”, Fisheries Research 84, 368-377. • E. Nieminen, Marko Lindroos & O. Heikinheimo [2012]. Optimal bioeconomic multispecies fisheries management: A Baltic Sea case study. Marine Resource Economics 27, 115-136. • S. Kulmala, P. Levontin, Marko Lindroos & P. Pintassilgo [2013]. Atlantic salmon fishery in the Baltic Sea - A case of trivial cooperation? Strategic Behavior and the Environment 3, 121-147. • M. Holma, S. Oinonen & Marko Lindroos [2014]. The economics of conflicting interests: Northern Baltic salmon fishery adaption to grey seal abundance. Natural Resource Modeling 27, 275-299.

  8. Books • M. Miranda & P. Fackler (2002): ”Applied Computational Economics and Finance”. http://www4.ncsu.edu/~pfackler/compecon/links.htm • J. Conrad (1999): ”Resource Economics” (Excel). • http://www.mathworks.com/academia/student_center/tutorials/launchpad.html

  9. Other software • R - http://www.r-project.org/ • GAMS - http://www.gams.com/ • Octave - http://www.octave.org/ • Gauss • Mathematica • Maple • Scilab

  10. Objectives • Introduction to numerical modelling • Simple programming examples applied to Environmental and Resource Economics • Analytical (symbolic) vs numerical models • Write a scientific report based on your model and present it

  11. Further courses • Kari Hyytiäinen on water related issues

  12. Today • For – end loop • Important! • Figures: plot, subplot ja mesh (further, surface, contour)

  13. For - end • for i = 1:2 • 1+1 • end • computes ”1+1” 2 times • command window: ans = 2

  14. For - end • for i = 1:2 • A(i)=1+1 • end • computes ”1+1” 2 times • AND saves theresults to A-vector: A = [2 2]

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