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Electricity Demand Analysis Using Cointegration and Error-Correction Models with Time Varying Parameters: The Mexican Case

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Cited by:

  1. Cai, Zongwu & Li, Qi & Park, Joon Y., 2009. "Functional-coefficient models for nonstationary time series data," Journal of Econometrics, Elsevier, vol. 148(2), pages 101-113, February.
  2. David C Broadstock & Lester C Hunt, 2013. "Tying up loose ends: A note on the impact of omitting MA residuals from panel energy demand models based on the Koyck lag transformation," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 140, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
  3. Dagoumas, A.S. & Panapakidis, I.P. & Papagiannis, G.K. & Dokopoulos, P.S., 2008. "Post-Kyoto energy consumption strategies for the Greek interconnected electric system," Energy Policy, Elsevier, vol. 36(6), pages 1980-1999, June.
  4. Jingfei Wu & Mohsen Bahmani-Oskooee & Tsangyao Chang, 2018. "Revisiting purchasing power parity in G6 countries: an application of smooth time-varying cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(1), pages 187-196, February.
  5. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2016. "A new approach to modeling the effects of temperature fluctuations on monthly electricity demand," Energy Economics, Elsevier, vol. 60(C), pages 206-216.
  6. Liddle, Brantley, 2023. "Is timing everything? Assessing the evidence on whether energy/electricity demand elasticities are time-varying," Energy Economics, Elsevier, vol. 124(C).
  7. Zongwu Cai, 2013. "Functional Coefficient Models for Economic and Financial Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  8. Xiangjin B. Chen & Jiti Gao & Degui Li & Param Silvapulle, 2013. "Nonparametric Estimation and Parametric Calibration of Time-Varying Coefficient Realized Volatility Models," Monash Econometrics and Business Statistics Working Papers 21/13, Monash University, Department of Econometrics and Business Statistics.
  9. Jeyhun I. Mikayilov & Fakhri J. Hasanov & Carlo A. Bollino & Ceyhun Mahmudlu, 2017. "Modeling of Electricity Demand for Azerbaijan: Time-Varying Coefficient Cointegration Approach," Energies, MDPI, vol. 10(11), pages 1-12, November.
  10. M.Adetunji BABATUNDE & M.Isa SHAUIBU, 2011. "The Demand for Residential Electricity in Nigeria," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 21, pages 1-13.
  11. Zongwu Cai & Yongmiao Hong, 2013. "Some Recent Developments in Nonparametric Finance," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  12. Feng-Li Lin & Wen-Yi Chen, 2020. "Did the Consumption Voucher Scheme Stimulate the Economy? Evidence from Smooth Time-Varying Cointegration Analysis," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
  13. Atakhanova, Zauresh & Howie, Peter, 2007. "Electricity demand in Kazakhstan," Energy Policy, Elsevier, vol. 35(7), pages 3729-3743, July.
  14. Eshita Gupta, 2016. "The Effect Of Development On The Climate Sensitivity Of Electricity Demand In India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-49, May.
  15. Chang, Yoosoon & Choi, Yongok & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y., 2016. "Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand," Energy Economics, Elsevier, vol. 60(C), pages 232-243.
  16. Jeyhun I. Mikayilov & Fakhri J. Hasanov & Marzio Galeotti, 2018. "Decoupling of C02 Emissions and GDP: A Time-Varying Cointegration Approach," IEFE Working Papers 101, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
  17. repec:wyi:journl:002108 is not listed on IDEAS
  18. Isabel Casas & Jiti Gao & Shangyu Xie, 2018. "Modelling time-varying income elasticities of health care expenditure for the OECD," Monash Econometrics and Business Statistics Working Papers 22/18, Monash University, Department of Econometrics and Business Statistics.
  19. Cai, Zongwu, 2007. "Trending time-varying coefficient time series models with serially correlated errors," Journal of Econometrics, Elsevier, vol. 136(1), pages 163-188, January.
  20. Moshiri, Saeed & Martinez Santillan, Miguel Alfonso, 2018. "The welfare effects of energy price changes due to energy market reform in Mexico," Energy Policy, Elsevier, vol. 113(C), pages 663-672.
  21. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
  22. repec:wyi:journl:002133 is not listed on IDEAS
  23. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand with an Application to Korea," Energy Economics, Elsevier, vol. 46(C), pages 334-347.
  24. Giacomo Benini & Maria Carvalho & Ludovic Gaudard & Patrick Jochem & Kaveh Madani, 2019. "Heterogeneous Returns to Scale of Wind Farms in Northern Europe," The Energy Journal, , vol. 40(1_suppl), pages 127-142, June.
  25. Maria Guadalupe Garcia-Garza & Jeyle Ortiz-Rodriguez & Esteban Picazzo-Palencia & Nora Munguia & Luis Velazquez, 2023. "The 2013 Mexican Energy Reform in the Context of Sustainable Development Goal 7," Energies, MDPI, vol. 16(19), pages 1-24, October.
  26. Yoosoon Chang & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand," Working Papers 1409, Department of Economics, University of Missouri.
  27. Zuo, Haomiao & Park, Sung Y., 2011. "Money demand in China and time-varying cointegration," China Economic Review, Elsevier, vol. 22(3), pages 330-343, September.
  28. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
  29. Zhao, Yan-Yong & Lin, Jin-Guan, 2019. "Estimation and test of jump discontinuities in varying coefficient models with empirical applications," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 145-163.
  30. repec:wyi:journl:002096 is not listed on IDEAS
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