Multiplicative Decomposition And Index Number Theory: An Empirical Application Of The Sato-Vartia Decomposition
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- de Boer, P.M.C., 2007. "Multiplicative decomposition and index number theory: an empirical application of the Sato-Vartia decomposition," Econometric Institute Research Papers EI 2007-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
References listed on IDEAS
- Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
- de Boer, P.M.C., 2006. "Structural decomposition analysis and index number theory: an empirical application of the Montgomery decomposition," Econometric Institute Research Papers EI 2006-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Mark De Haan, 2001. "A Structural Decomposition Analysis of Pollution in the Netherlands," Economic Systems Research, Taylor & Francis Journals, vol. 13(2), pages 181-196.
- Sato, Kazuo, 1976. "The Ideal Log-Change Index Number," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 223-228, May.
- Ang, B.W. & Liu, F.L. & Chung, Hyun-Sik, 2004. "A generalized Fisher index approach to energy decomposition analysis," Energy Economics, Elsevier, vol. 26(5), pages 757-763, September.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
- Choi, Ki-Hong & Ang, B.W., 2012. "Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis," Energy Economics, Elsevier, vol. 34(1), pages 171-176.
- Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, Open Access Journal, vol. 11(12), pages 1-18, June.
- Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
- Hong, Jae Pyo & Byun, Jeong Eun & Kim, Pang Ryong, 2016. "Structural changes and growth factors of the ICT industry in Korea: 1995–2009," Telecommunications Policy, Elsevier, vol. 40(5), pages 502-513.
- Martin Lábaj & Karol Morvay & Martin Hudcovský, 2015. "Labour Elasticity in V4 countries: Structural decomposition analysis," Department of Economic Policy Working Paper Series 009, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
- Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
- Daniel Dujava, 2012. "Príčiny zaostávania nových členských krajín EÚ: empirická analýza na základe Montgomeryho dekompozície [Causes of Lagging Behind of New Member States of EU: Empirical Analysis by Montgomery Decompo," Politická ekonomie, Prague University of Economics and Business, vol. 2012(2), pages 222-244.
- Cazcarro, Ignacio & Duarte, Rosa & Sánchez-Chóliz, Julio, 2013. "Economic growth and the evolution of water consumption in Spain: A structural decomposition analysis," Ecological Economics, Elsevier, vol. 96(C), pages 51-61.
- Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
More about this item
KeywordsMultiplicative decomposition; Index number theory; Structural decomposition analysis; Siegel-Shapley decomposition;
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