Economy-wide Estimates of Rebound Effects: Evidence from Panel Data
Download full text from publisher
Other versions of this item:
- Morakinyo O. Adetutu, Anthony J. Glass, and Thomas G. Weyman-Jones, 2016. "Economy-wide Estimates of Rebound Effects: Evidence from Panel Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
References listed on IDEAS
- Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
- Massimo Filippini & Lester C. Hunt, 2011.
"Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 59-80.
- Massimo Filippini & Lester Hunt, 2009. "Energy demand and energy efficiency in the OECD countries: a stochastic demand frontier approach," CEPE Working paper series 09-68, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Massimo Filippini & Lester C Hunt, 2010. "Energy demand and energy efficiency in the OECD countries: a stochastic demand frontier approach," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 127, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- David Roodman, 2009.
"How to do xtabond2: An introduction to difference and system GMM in Stata,"
Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
- David Roodman, 2006. "How to Do xtabond2: An Introduction to "Difference" and "System" GMM in Stata," Working Papers 103, Center for Global Development.
- Filippini, Massimo & Hunt, Lester C., 2012.
"US residential energy demand and energy efficiency: A stochastic demand frontier approach,"
Energy Economics, Elsevier, vol. 34(5), pages 1484-1491.
- Massimo Filippini & Lester C Hunt, 2010. "US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 130, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Massimo Filippini & Lester Hunt, 2012. "US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach," CEPE Working paper series 12-83, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Adeyemi, Olutomi I. & Hunt, Lester C., 2014.
"Accounting for asymmetric price responses and underlying energy demand trends in OECD industrial energy demand,"
Energy Economics, Elsevier, vol. 45(C), pages 435-444.
- Olutomi I Adeyemi & Lester C Hunt, 2013. "Accounting for asymmetric price responses and underlying energy demand trends in OECD industrial energy demand," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 142, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Saunders, Harry D., 2000. "A view from the macro side: rebound, backfire, and Khazzoom-Brookes," Energy Policy, Elsevier, vol. 28(6-7), pages 439-449, June.
- Freire González, Jaume, 2010. "Empirical evidence of direct rebound effect in Catalonia," Energy Policy, Elsevier, vol. 38(5), pages 2309-2314, May.
- Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
- Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-363, July.
- David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
- Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
- Wei, Taoyuan, 2010. "A general equilibrium view of global rebound effects," Energy Economics, Elsevier, vol. 32(3), pages 661-672, May.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
- Allan, Grant & Hanley, Nick & McGregor, Peter & Swales, Kim & Turner, Karen, 2007. "The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom," Energy Economics, Elsevier, vol. 29(4), pages 779-798, July.
- Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
- Chris Milner & Thomas Weyman–Jones, 2003. "Relative National Efficiency and Country Size: Evidence for Developing Countries," Review of Development Economics, Wiley Blackwell, vol. 7(1), pages 1-14, February.
- Saunders, Harry D., 2013. "Historical evidence for energy efficiency rebound in 30 US sectors and a toolkit for rebound analysts," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1317-1330.
- Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
- Dimitropoulos, John, 2007. "Energy productivity improvements and the rebound effect: An overview of the state of knowledge," Energy Policy, Elsevier, vol. 35(12), pages 6354-6363, December.
- Milner, Chris & Westaway, Tony, 1994. "The Effect of Size on," Scottish Journal of Political Economy, Scottish Economic Society, vol. 41(2), pages 128-141, May.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, "undated". "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- World Bank, 2013. "World Development Indicators 2013," World Bank Publications, The World Bank, number 13191, June.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633.
- Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- Third Francqui Lecture
by email@example.com (David Stern) in Stochastic Trend on 2021-04-04 21:39:00
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Boyd, Gale A. & Lee, Jonathan M., 2019.
"Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis,"
Energy Economics, Elsevier, vol. 81(C), pages 159-174.
- Gale Boyd & Jonathan M. Lee, 2016. "Measuring Plant Level Energy Efficiency and Technical Change in the U.S. Metal-Based Durable Manufacturing Sector Using Stochastic Frontier Analysis," Working Papers 16-52, Center for Economic Studies, U.S. Census Bureau.
- Orea, Luis & Álvarez, Inmaculada C. & Wall, Alan, 2021. "Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain," Efficiency Series Papers 2021/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Xu, Mengmeng & Lin, Boqiang & Wang, Siquan, 2021. "Towards energy conservation by improving energy efficiency? Evidence from China’s metallurgical industry," Energy, Elsevier, vol. 216(C).
- Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
- Taoyuan Wei & Xue Wang, 2020. "Rebound Effect from Income Savings Due to an Energy Efficiency Improvement by Households: An Input–Output Approach," Energies, MDPI, Open Access Journal, vol. 13(16), pages 1-10, August.
- Tajudeen, Ibrahim A. & Wossink, Ada & Banerjee, Prasenjit, 2018. "How significant is energy efficiency to mitigate CO2 emissions? Evidence from OECD countries," Energy Economics, Elsevier, vol. 72(C), pages 200-221.
- Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
- Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2020. "A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies," Energy Policy, Elsevier, vol. 139(C).
- Stern, David I., 2020. "How large is the economy-wide rebound effect?," Energy Policy, Elsevier, vol. 147(C).
- Zhang, Jiangshan & Lin Lawell, C.-Y. Cynthia, 2017. "The macroeconomic rebound effect in China," Energy Economics, Elsevier, vol. 67(C), pages 202-212.
- Fei, Rilong & Xie, Mengyuan & Wei, Xin & Ma, Ding, 2021. "Has the water rights system reform restrained the water rebound effect? Empirical analysis from China's agricultural sector," Agricultural Water Management, Elsevier, vol. 246(C).
- Spiller, Elisheba & Sopher, Peter & Martin, Nicholas & Mirzatuny, Marita & Zhang, Xinxing, 2017. "The environmental impacts of green technologies in TX," Energy Economics, Elsevier, vol. 68(C), pages 199-214.
- Dahlqvist, Anna & Lundgren, Tommy & Marklund, Per-Olov, 2017. "Assessing the Rebound Effect in Energy Intensive Industries: A Factor Demand Model Approach with Asymmetric Price Response," Working Papers 150, National Institute of Economic Research.
Most related itemsThese are the items that most often cite the same works as this one and are cited by the same works as this one.
- Ünal Töngür & Adem Yavuz Elveren, 2017.
"The nexus of economic growth, military expenditures, and income inequality,"
Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1821-1842, July.
- Unal Tongur & Adem Yavuz Elveren, 2016. "The Nexus of Economic Growth, Military Expenditures, and Income Inequality," EconWorld Working Papers 16003, WERI-World Economic Research Institute, revised Apr 2016.
- Scott, K. Rebecca, 2015.
"Demand and price uncertainty: Rational habits in international gasoline demand,"
Energy, Elsevier, vol. 79(C), pages 40-49.
- Scott, K. Rebecca, 2013. "Demand and Price Uncertainty: Rational Habits in International Gasoline Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt25q4w08n, Department of Agricultural & Resource Economics, UC Berkeley.
- Armey, Laura E. & McNab, Robert M., 2018. "Expenditure decentralization and natural resources," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 52-61.
- Charles Mawusi, 2021. "Economic Uncertainty and Remittances to Developing Economies: A System GMM Approach," Working Papers hal-03147813, HAL.
- Roberto Dell'Anno & Adalgiso Amendola, 2015.
"Social Exclusion and Economic Growth: An Empirical Investigation in European Economies,"
Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 274-301, June.
- AMENDOLA, Adalgiso & DELL'ANNO, Roberto, 2013. "Social Exclusion and Economic Growth: An Empirical Investigation in European Economies," CELPE Discussion Papers 126, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.
- Magrini, Emiliano & Morales-Opazo, Cristian & Balie, Jean, 2014.
"Supply response along the value chain in selected SSA countries: the case of grains,"
2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California
197193, International Agricultural Trade Research Consortium.
- Magrini, Emiliano & Balié, Jean & Morales Opazo, Cristian, 2016. "Price signals and supply responses for staple food crops in SSA countries," DARE Discussion Papers 1601, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
- Magrini, Emiliano & Balié, Jean & Morales Opazo, Christian, 2016. "Price signals and supply responses for staple food crops in SSA countries," Department of Agricultural and Rural Development (DARE) Discussion Papers 260779, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
- Choi, Gwangeun, 2019. "Revisiting the redistribution hypothesis with perceived inequality and redistributive preferences," European Journal of Political Economy, Elsevier, vol. 58(C), pages 220-244.
- Dolton, Peter & Bondibene, Chiara Rosazza & Stops, Michael, 2015. "Identifying the employment effect of invoking and changing the minimum wage: A spatial analysis of the UK," Labour Economics, Elsevier, vol. 37(C), pages 54-76.
- Christophe Pennetier & Karan Girotra & Jürgen Mihm, 2019. "R&D Spending: Dynamic or Persistent?," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 636-657, July.
- Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
- Fendel Tanja, 2016. "Migration and Regional Wage Disparities in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(1), pages 3-35, February.
- Juergen Bitzer & Erkan Goeren, 2018. "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers V-407-18, University of Oldenburg, Department of Economics, revised Mar 2018.
- Al-Gasaymeh, Anwar, 2016. "Bank efficiency determinant: Evidence from the gulf cooperation council countries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 214-223.
- Linh T.D. Huynh & Hien Thanh Hoang, 2019. "Effects of exchange rate volatility on bilateral import performance of Vietnam: A dynamic Generalised method of Moments panel approach," International Economic Journal, Taylor & Francis Journals, vol. 33(1), pages 88-110, January.
- Silvia Fedeli & Vitantonio Mariella & Marco Onofri, 2018. "Determinants of Joblessness During the Economic Crisis: Impact of Criminality in the Italian Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 559-588, September.
- Rong Fu & Haruko Noguchi, 2018. "Does the positive relationship between health and marriage reflect protection or selection? Evidence from middle-aged and elderly Japanese," Review of Economics of the Household, Springer, vol. 16(4), pages 1003-1016, December.
- Mateo Zokalj, 2016. "The impact of population aging on public finance in the European Union," Financial Theory and Practice, Institute of Public Finance, vol. 40(4), pages 383-412.
- Fabio Pieri & Riccardo Verruso, 2019. "The determinants of corporate profitability in the Italian domestic appliances industry," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 83-115, March.
- Gulati, Rachita & Goswami, Anju & Kumar, Sunil, 2019. "What drives credit risk in the Indian banking industry? An empirical investigation," Economic Systems, Elsevier, vol. 43(1), pages 42-62.
- Kilman, Josefin, 2020. "Monetary Policy and Income Inequality in the United States: The Role of Labor Unions," Working Papers 2020:10, Lund University, Department of Economics.
More about this item
KeywordsEnergy Efficiency; Input Distance Function; Panel Data; Rebound Effects; Stochastic Frontier Analysis;
All these keywords.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- D2 - Microeconomics - - Production and Organizations
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-EFF-2015-07-11 (Efficiency & Productivity)
- NEP-ENE-2015-07-11 (Energy Economics)
- NEP-ENV-2015-07-11 (Environmental Economics)
StatisticsAccess and download statistics
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:pra:mprapa:65409. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
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 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.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.