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Ökologischer Betrieb
© BLE, Bonn/Thomas Stephan
Ökologischer Betrieb
Institute of

BW Farm Economics

Further Publications of Davit Stepanyan

  1. 0

    Siddig K, Stepanyan D, Wiebelt M, Grethe H, Zhu T (2020) Climate change and agriculture in the Sudan: Impact pathways beyond changes in mean rainfall and temperature. Ecol Econ 169:106566, DOI:10.1016/j.ecolecon.2019.106566

  2. 1

    Stepanyan D, Grethe H, Siddig K (2019) Comment on "A Monte Carlo filtering application for systematic sensitivity analysis of computable general equilibrium results". Economics Bull 39(3):1925-1929

    https://literatur.thuenen.de/digbib_extern/dn062285.pdf

  3. 2

    Stepanyan D, Grethe H, Zimmermann G, Siddig K, Deppermann A, Feuerbacher A, Luckmann J, Valin H, Nishizawa T, Ermolieva T, Havlik P (2019) Multiple rotations of gaussian quadratures?: an efficient method for uncertainty analyses in large-scale simulation models : presented at the 22nd Annual Conference on global economic analysis, Warsaw, Poland.

  4. 3

    Stepanyan D (2018) Application of gaussian quadratures in the Global Biosphere Management Model (GLOBIOM) as an efficient approach to uncertainty analysis. Laxenburg: International Institute for Applied Systems Analysis (IIASA)

  5. 4

    Siddig K, Stepanyan D, Zhu T, Wiebelt M, Grethe H (2018) Beyond mean rainfall and temperature changes: distributional effects of stochastic yield variability in the Sudan : Presented at the 30th International Conference of Agricultural Economists, Vancouver, British Columbia, Canada [online]. , zu finden in <https://editorialexpress.com/cgi-bin/conference/download.cgi?db_name=ECOMOD2018&paper_id=191 > [zitiert am 06.05.2020]

  6. 5

    Nishizawa T, Feuerbacher A, Stepanyan D, Grethe H (2018) Bhutan’s quest for increased food self-sufficiency under crop yield uncertainty: A stochastic CGE Model Approach : Presented at the International Conference on Economic Modeling (EcoMod 2018), Venice, Italy.

  7. 6

    Siddig K, Stepanyan D, Wiebelt M, Zhu T, Grethe H (2018) Climate change and agriculture in the Sudan: Impact pathways beyond changes in mean rainfall and temperature [online]. Washington, DC ; Cairo: International Food Policy Research Institute, 25 p, MENA RP Working Paper 13, zu finden in <http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/132833> [zitiert am 06.05.2020]

  8. 7

    Stepanyan D, Siddig K, Grethe H, Zimmermann G (2018) Remarks on uncertainty analysis in large-scale simulation models : presented at the International Conference on Economic Modeling (EcoMod 2018), Venice, Italy [online]. , zu finden in <https://editorialexpress.com/cgi-bin/conference/download.cgi?db_name=ECOMOD2018&paper_id=110 > [zitiert am 06.05.2020]

  9. 8

    Luckmann J, Stepanyan D (2018) Water pricing under climate uncertainty - an economy-wide model considering precipitation stochastics : Presented at the 21st Annual Conference on Global Economic Analysis, Cartagena, Colombia [online]. , zu finden in <https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=5548> [zitiert am 06.05.2020]

  10. 9

    Stepanyan D (2016) From static to dynamic - stochastic agricultural partial equilibrium models: the role of price expectations and stockholding. 16 p, DOI:10.13140/RG.2.2.29755.52001

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