IDEAS home Printed from https://ideas.repec.org/r/taf/ecsysr/v16y2004i4p347-366.html

Estimation of International Demand Behaviour for Use with Input-Output Based Data

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Chen, Y.-H. Henry, 2015. "Economic Projection with Non-homothetic Preferences: The Performance and Application of a CDE Demand System," Conference papers 332611, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  2. Russell Hillberry & David Hummels, 2021. "Tom Hertel’s Influence and Its Lessons about Academic Inquiry," World Scientific Book Chapters, in: Peter Dixon & Joseph Francois & Dominique van der Mensbrugghe (ed.), POLICY ANALYSIS AND MODELING OF THE GLOBAL ECONOMY A Festschrift Celebrating Thomas Hertel, chapter 2, pages 9-39, World Scientific Publishing Co. Pte. Ltd..
  3. de Boer, P.M.C. & Missaglia, M., 2005. "Introducing the indirect addilog system in a computable general equilibrium model: a case study for Palestine," Econometric Institute Research Papers EI 2005-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  4. Cai, Yongyang & Golub, Alla A. & Hertel, Thomas W., 2016. "Developing Long-run Agricultural R&D Policy in the Face of Uncertain Economic Growth," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250111, Agricultural and Applied Economics Association.
  5. Y-H Henry Chen, 2017. "The Calibration and Performance of a Non-homothetic CDE Demand System for CGE Models," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(1), pages 166-214, June.
  6. Shojaeddini, Ensieh & Schreiber, Andrew & Wolverton, Ann & Marten, Alex, 2024. "Consumer demand and the economy-wide costs of regulation: Modeling households with empirically estimated flexible functional forms," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
  7. Jeffrey J. Reimer & Thomas W. Hertel, 2010. "Nonhomothetic Preferences and International Trade," Review of International Economics, Wiley Blackwell, vol. 18(2), pages 408-425, May.
  8. Misak Avetisyan & Thomas Hertel & Gregory Sampson, 2014. "Is Local Food More Environmentally Friendly? The GHG Emissions Impacts of Consuming Imported versus Domestically Produced Food," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(3), pages 415-462, July.
  9. Hertel, Thomas, 2013. "Global Applied General Equilibrium Analysis Using the Global Trade Analysis Project Framework," 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 815-876, Elsevier.
  10. Thomas W. Hertel & Jevgenijs Steinbuks & Wallace E. Tyner, 2016. "What Is the Social Value of Second Generation Biofuels?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(4), pages 599-617.
  11. Regmi, Anita & Seale, James L., Jr., 2010. "Cross-Price Elasticities of Demand Across 114 Countries," Technical Bulletins 59870, United States Department of Agriculture, Economic Research Service.
  12. Chen, Y.-H. Henry & Paltsev, Sergey & Reilly, John M. & Morris, Jennifer F. & Babiker, Mustafa H., 2016. "Long-term economic modeling for climate change assessment," Economic Modelling, Elsevier, vol. 52(PB), pages 867-883.
  13. Reimer, Jeffrey J., 2011. "The domestic content of imports and the foreign content of exports," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 173-184, April.
  14. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.
  15. West, Tyler T. & Reimer, Jeffrey J., 2013. "Household and Intersectoral Effects of Reduced SNAP Expenditures: A Computable General Equilibrium Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150410, Agricultural and Applied Economics Association.
  16. Muhammad, Andrew & Meade, Birgit Gisela Saager & Regmi, Anita & Seale, James L., 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
  17. Raúl Serranoa & Vicente Pinilla, 2010. "The Evolution and Changing Geographical Structure of World Agri-food Trade, 1950-2000," Working Papers 10-06, Association Française de Cliométrie (AFC).
  18. Gurgel, Angelo & Chen, Y.-H. Henry & Paltsev, Sergey & Reilly, John, 2016. "Linking Natural Resources to the CGE framework: the case of Land Use Changes in the EPPA Model," Conference papers 332705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  19. Paul De Boer & Richard Paap, 2009. "Testing non‐nested demand relations: linear expenditure system versus indirect addilog," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 368-384, August.
  20. Thomas W. Hertel & Roman Keeney & Maros Ivanic & L. Alan Winters, 2007. "Distributional effects of WTO agricultural reforms in rich and poor countries [‘Elasticities of substitution and factor supply in Canadian, Mexican, and US agriculture’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(50), pages 290-337.
  21. Ivanic, Maros & Martin, Will, 2018. "Sectoral Productivity Growth and Poverty Reduction: National and Global Impacts," World Development, Elsevier, vol. 109(C), pages 429-439.
  22. Reimer, Jeffrey J. & Weerasooriya, Senal & West, Tyler T., 2015. "How Does the Supplemental Nutrition Assistance Program Affect the U.S. Economy?," Agricultural and Resource Economics Review, Cambridge University Press, vol. 44(3), pages 233-252, December.
  23. de Boer, P.M.C., 2009. "Modeling household behavior in a CGE model: linear expenditure system or indirect addilog?," Econometric Institute Research Papers EI 2009-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  24. Paul de Boer & Bjarne S. Jensen, 2005. "The Expenditure System of CDES Indirect Utility Functions," DEGIT Conference Papers c010_036, DEGIT, Dynamics, Economic Growth, and International Trade.
  25. Cai, Yongyang & Golub, Alla A. & Hertel, Thomas W. & Judd, Kenneth L., 2016. "Agricultural R&D Policy in the Face of Climate and Economic Uncertainty," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235981, Agricultural and Applied Economics Association.
  26. Martin Ravallion & Shaohua Chen & Prem Sangraula, 2007. "New Evidence on the Urbanization of Global Poverty," Population and Development Review, The Population Council, Inc., vol. 33(4), pages 667-701, December.
  27. repec:ags:afjare:225656 is not listed on IDEAS
  28. Britz, Wolfgang, . "Estimating a global MAIDADS demand system considering demography, climate and norms," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 10(3).
  29. Leahy, Eimear & Lyons, Se n & Tol, Richard S. J., 2010. "National Determinants of Vegetarianism," Papers WP341, Economic and Social Research Institute (ESRI).
  30. Thomas Hertel & David Hummels & Terrie L. Walmsley, 2014. "The vulnerability of the Asian supply chain to localized disasters," Chapters, in: Benno Ferrarini & David Hummels (ed.), Asia and Global Production Networks, chapter 3, pages 81-111, Edward Elgar Publishing.
  31. Fernandez-Cornejo, Jorge & Lubowski, Ruben & Somwaru, Agapi, 2007. "Global Adoption Of Agricultural Biotechnology: Modeling and Preliminary Results," Conference papers 331640, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.