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A New Graphical User Interface Generator for Economic Models and its Comparison to Existing Approaches

Listed author(s):
  • Britz, Wolfgang

The paper discusses the role of Graphical User Inter-faces in economic modelling and specifically the de-velopment of a new Graphical User Interface Genera-tor for applications realized in GAMS (General Alge-braic Modelling System), a widely used Algebraic Modelling Language for (bio-)economic simulation models. It motivates the development of GGIG (Gams Graphical Interface Generator) by reviewing existing approaches. In opposite to frameworks available for environmental and Agent Based Modelling, GUI ge-nerators for more classical economic models seem to be scarce. GGIG aims at a fast development process not requiring programming skills where simple user operable controls are defined in an XML file such that GAMS based projects can add easily a GUI. It com-prises quite versatile exploitation tools for interactive reporting (tables, graphs and maps) including a ma-chine learning package plus useful utilities, e.g. to generate a HTML based GAMS code documentation or batch execution. In opposite to other approaches, GGIG strictly separates the GUI and GAMS code, but does not offer IDE functionality. Applications to CAPRI, a rather complex model, and some smaller projects seem to show that researchers without formal programming training are able to develop and modify a GUI for their models, while model users can be quickly trained in GGIG based GUIs.Der Aufsatz diskutiert die Bedeutung Grafischer Benutzeroberflächen in der ökonomischen Modellie-rung, insbesondere die Entwicklung eines neues Werkzeugs zur Erstellung Grafischer Oberflächen für Anwendungen basierend auf GAMS (General Algebraic Modelling System), einer weitverbreiteten Algebraischen Modellierungssprache für (bio-)öko-nomische Simulationsmodelle. Er motiviert die Ent-wicklung von GGIG (Gams Graphical Interface Ge-nerator) vor dem Hintergrund eines Überblicks alter-nativer Ansätze. Im Gegensatz zu bestehenden Pro-grammiergerüsten für umwelt- oder agentenbasierte Modellierung scheinen nur wenige Werkzeuge zur Erstellung von Benutzeroberflächen klassischer öko-nomischer Modelle verfügbar zu sein. GGIG zielt auf einen schnellen Entwicklungsprozess, der keine Kenntnisse in der Programmierung voraussetzt und auf der Definition einfacher Bedienelemente in einer XML-Datei basiert, wodurch sich ohne großen Auf-wand eine Nutzeroberfläche zu einem GAMS-Projekt erstellen lässt. GGIG enthält darüber hinaus recht vielseitige Instrumente zur Erzeugung interaktiver Ergebnisauswertungen (Tabellen, Grafiken und Kar-ten) einschließlich eines Paketes maschineller Lern-verfahren sowie zusätzlich Dienstprogramme, z.B. zur Erstellung einer HTML basierten Dokumentation des GAMS-Codes oder zur Batchausführung. Im Gegen-satz zu anderen Ansätzen trennt GGIG klar zwischen dem GAMS-Code und der Nutzeroberfläche, bietet dafür aber auch keine Funktionen einer Integrierten Entwicklungsumgebung an. Die Anwendung von GGIG in CAPRI, einem recht komplexen Modellsys-tem, und einigen kleineren Projekten legen es nahe, dass Forscher ohne formale Programmierkenntnisse mittels GGIG Benutzeroberflächen für ihre Modellen entwickeln und pflegen können, während Modellan-wender sich schnell in die Nutzung der Oberflächen einarbeiten.

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File URL: http://purl.umn.edu/253198
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Article provided by Journal of International Agricultural Trade and Development in its journal Journal of International Agricultural Trade and Development.

Volume (Year): 63 (2014)
Issue (Month): 4 ()
Pages:

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Handle: RePEc:ags:joiatd:253198
Contact details of provider: Web page: http://www.ndsu.nodak.edu/ndsu/miljkovi/

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  1. Karen Thierfelder & Scott McDonald, 2012. "Globe v1: A SAM Based Global CGE Model using GTAP Data," Departmental Working Papers 39, United States Naval Academy Department of Economics.
  2. Claudia Heidecke & Thomas Heckelei, 2010. "Impacts of changing water inflow distributions on irrigation and farm income along the Drâa River in Morocco," Agricultural Economics, International Association of Agricultural Economists, vol. 41(2), pages 135-149, March.
  3. Bernd Lengers & Wolfgang Britz, 2012. "The choice of emission indicators in environmental policy design: an analysis of GHG abatement in different dairy farms based on a bio-economic model approach," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 93(2), pages 117-144.
  4. Harrison, W Jill & Pearson, K R, 1996. "Computing Solutions for Large General Equilibrium Models Using GEMPACK," Computational Economics, Springer;Society for Computational Economics, vol. 9(2), pages 83-127, May.
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  6. Christine Wieck & Simon W. Schlüter & Wolfgang Britz, 2012. "Assessment of the Impact of Avian Influenza–related Regulatory Policies on Poultry Meat Trade and Welfare," The World Economy, Wiley Blackwell, vol. 35(8), pages 1037-1052, 08.
  7. Petr Havlík & Hugo Valin & Aline Mosnier & Michael Obersteiner & Justin S. Baker & Mario Herrero & Mariana C. Rufino & Erwin Schmid, 2013. "Crop Productivity and the Global Livestock Sector: Implications for Land Use Change and Greenhouse Gas Emissions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 442-448.
  8. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
  9. Lengers, Bernd, 2012. "The choice of emission indicators in environmental policy design: an analysis of GHG abatement in different dairy farms based on a bio-economic model approach," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 93(02), pages 117-144, June.
  10. Daniel De Wolf & Yves Smeers, 2000. "The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm," Management Science, INFORMS, vol. 46(11), pages 1454-1465, November.
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