IDEAS home Printed from https://ideas.repec.org/p/ekd/002625/2941.html
   My bibliography  Save this paper

A 71 Sector CGE Model for Germany

Author

Listed:
  • Andreas Mense
  • Andreas Mense, DIW Berlin/FAU Erlangen-Nürnberg
  • Konstanin Kholodilin, Ph.D, DIW Berlin

Abstract

A sectorally disaggregated CGE model is a powerful tool for economic policy simulation. Using the sectoral data, that are encompassing 71 sectors/commodities taken from the most recent input-output table refering to 2007, we were able to construct a detailed general equilibrium model for Germany at the national level. This model allows us to simulate the impact of different shocks on the output and employment in virtually all sectors of German economy. The possibilities of a further development of the model are numerous. One important possibility is to shift the focus of the model to the regional NUTS1 (Länder) level. To the best of our knowledge, no CGE model at such level of regional disaggregation has been suggested yet.We used the basic 2-sector/commodities CGE model EcoMod7 as a departure point and extended it to 71 sectors. The model uses a CES production function, an LES households’ utility function, and a Cobb-Douglas banks' and government utility functions. Foreign trade is modelled by a CET and a CES production function. The CES production elasticities were estimated using the approach exemplified by Arrow, Chenery, Solow and Minhas (1961). LES minimum consumption and consumption shares will be estimated for a 30-sector economy using European data on consumption and prices. We also examine different possibilities for estimating the elasticities of CET and CES Armington functions.The model is set up and performs well. Also, elasticities for the CES production function were estimated and are within the expected range.

Suggested Citation

  • Andreas Mense & Andreas Mense, DIW Berlin/FAU Erlangen-Nürnberg & Konstanin Kholodilin, Ph.D, DIW Berlin, 2011. "A 71 Sector CGE Model for Germany," EcoMod2011 2941, EcoMod.
    • Handle: RePEc:ekd:002625:2941
    as

    Download full text from publisher

    File URL: http://ecomod.net/system/files/A%2070%20Sector%20CGE%20Model.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roberts, Barbara M, 1994. "Calibration Procedure and the Robustness of CGE Models: Simulations with a Model for Poland," Economic Change and Restructuring, Springer, vol. 27(3), pages 189-210.
    2. repec:rre:publsh:v:34:y:2004:i:1:p:37-56 is not listed on IDEAS
    3. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    4. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    5. Shoven, John B & Whalley, John, 1984. "Applied General-Equilibrium Models of Taxation and International Trade: An Introduction and Survey," Journal of Economic Literature, American Economic Association, vol. 22(3), pages 1007-1051, September.
    6. McKitrick, Ross R., 1998. "The econometric critique of computable general equilibrium modeling: the role of functional forms," Economic Modelling, Elsevier, vol. 15(4), pages 543-573, October.
    7. Bruce A. Blonigen & Wesley W. Wilson, 1999. "Explaining Armington: What Determines Substitutability Between Home and Foreign Goods?," Canadian Journal of Economics, Canadian Economics Association, vol. 32(1), pages 1-21, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Johannes Ziesmer & Ding Jin & Sneha D Thube & Christian Henning, 2023. "A Dynamic Baseline Calibration Procedure for CGE models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1331-1368, April.
    2. Devarajan, Shantayanan & Robinson, Sherman, 2002. "The influence of computable general equilibrium models on policy," TMD discussion papers 98, International Food Policy Research Institute (IFPRI).
    3. Y.T. Bahta & B.J. Willemse & B. Grove, 2014. "The role of agriculture in welfare, income distribution and economic development of the Free State Province of South Africa: A CGE approach," Agrekon, Taylor & Francis Journals, vol. 53(1), pages 46-74, March.
    4. Ahmed, Vaqar & O' Donoghue, Cathal, 2007. "CGE-Microsimulation Modelling: A Survey," MPRA Paper 9307, University Library of Munich, Germany.
    5. Mark Partridge & Dan Rickman, 2010. "Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1311-1328.
    6. Ramos Carvajal, Carmen & Fernández Vázquez, Esteban, 2002. "Temporal projection of an input-output tables series for the region of Asturias," ERSA conference papers ersa02p211, European Regional Science Association.
    7. Whalley, John & Xin, Xian, 2009. "Home and regional biases and border effects in Armington type models," Economic Modelling, Elsevier, vol. 26(2), pages 309-319, March.
    8. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2004. "Generating Plausible Crop Distribution Maps For Sub-Sahara Africa Using Spatial Allocation Model," 2004 Annual meeting, August 1-4, Denver, CO 19965, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Joshua Elliott & Meredith Franklin & Ian Foster & Todd Munson & Margaret Loudermilk, 2012. "Propagation of Data Error and Parametric Sensitivity in Computable General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 39(3), pages 219-241, March.
    10. Nabil Annabi & John Cockburn & Bernard Decaluwé, 2006. "Functional Forms and Parametrization of CGE Models," Working Papers MPIA 2006-04, PEP-MPIA.
    11. repec:rre:publsh:v:34:y:2004:i:1:p:37-56 is not listed on IDEAS
    12. Rich, Jeppe & Mulalic, Ismir, 2012. "Generating synthetic baseline populations from register data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 467-479.
    13. Bahta, Yonas Tesfamariam, 2014. "The Impact Of International Oil Price Increase On The Economy Of Free State Province Of South Africa," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(1), pages 1-10, January.
    14. Hess, Sebastian & von Cramon-Taubadel, Stephan, 2007. "Assessing general and partial equilibrium simulations of Doha round outcomes using meta-analysis," University of Göttingen Working Papers in Economics 67, University of Goettingen, Department of Economics.
    15. Tarp, Finn & Arndt, Channing & Jensen, Henning Tarp & Robinson, Sherman & Heltberg, Rasmus, 2002. "Facing the development challenge in Mozambique: an economywide perspective," Research reports 126, International Food Policy Research Institute (IFPRI).
    16. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2007. "Generating plausible crop distribution and performance maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach:," IFPRI discussion papers 725, International Food Policy Research Institute (IFPRI).
    17. Go, Delfin S. & Lofgren, Hans & Ramos, Fabian Mendez & Robinson, Sherman, 2016. "Estimating parameters and structural change in CGE models using a Bayesian cross-entropy estimation approach," Economic Modelling, Elsevier, vol. 52(PB), pages 790-811.
    18. Scrieciu, S. Serban, 2007. "The inherent dangers of using computable general equilibrium models as a single integrated modelling framework for sustainability impact assessment. A critical note on Bohringer and Loschel (2006)," Ecological Economics, Elsevier, vol. 60(4), pages 678-684, February.
    19. Lofgren, Hans & Cicowiez, Martin & Diaz-Bonilla, Carolina, 2013. "MAMS – A Computable General Equilibrium Model for Developing Country Strategy Analysis," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 159-276, Elsevier.
    20. Hosoe, Nobuhiro, 2014. "Estimation errors in input–output tables and prediction errors in computable general equilibrium analysis," Economic Modelling, Elsevier, vol. 42(C), pages 277-286.
    21. Aydin, Levent, 2009. "The Impacts of the Trade and Factor Market Liberalization on the Carbon Abatement Policies in the Enlargement of European Union," Conference papers 331842, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ekd:002625:2941. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Theresa Leary (email available below). General contact details of provider: https://edirc.repec.org/data/ecomoea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.