A double calibration approach to the estimation of technological change
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Cited by:
- 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.
- Go, Delfin S. & Lofgren, Hans & Mendez Ramos, Fabian & Robinson, Sherman, 2014. "Estimating Parameters and Structural Change in CGE Models Using a Bayesian Cross-Entropy Estimation Approach," Conference papers 332468, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
- Go, Delfin S. & Lofgren, Hans & Mendez Ramos, Fabian & Robinson, Sherman, 2015. "Estimating parameters and structural change in CGE models using a Bayesian cross-entropy estimation approach," Policy Research Working Paper Series 7174, The World Bank.
- Edwards, T. Huw & Lücke, Matthias, 2021. "Decomposing the growth of the high-skilled wage premium in an advanced economy open to trade," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 766-784.
- Jeroen Klijs & Jack Peerlings & Wim Heijman, 2015. "Usefulness of Non-Linear Input—Output Models for Economic Impact Analyses in Tourism and Recreation," Tourism Economics, , vol. 21(5), pages 931-956, October.
- Xiaohui Yang & Zhen Jia & Zhongmin Yang, 2024. "Does biased technological progress facilitate the reduction of transportation carbon emissions? A threshold-based perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 4269-4292, February.
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