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Switching Behavior and the Liberalization of the Italian Electricity Retail Market. Logistic and Mixed Effect Bayesian Estimations of Consumer Choice

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The paper assesses the effects of the liberalization of the Italian electricity retail market by providing the first account of the determinants of switching by Italian households. It covers the interplay between demand and supply by including market concentration and horizontal integration among the factors that drive the choice of consumers. Finally, it inaugurates the application of Bayesian estimations in this topic area and presents a new dataset.

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  • Fontana, Magda & Iori, Martina & Nava, Consuelo Rubina, 2017. "Switching Behavior and the Liberalization of the Italian Electricity Retail Market. Logistic and Mixed Effect Bayesian Estimations of Consumer Choice," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201721, University of Turin.
  • Handle: RePEc:uto:dipeco:201721
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    1. Silvia Concettini & Anna Creti, 2013. "Liberalization of electricity retailing in Europe: coming back or going forth?," Working Papers hal-00915924, HAL.
    2. Hadfield, Jarrod D., 2010. "MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i02).
    3. Paul Klemperer, 1995. "Competition when Consumers have Switching Costs: An Overview with Applications to Industrial Organization, Macroeconomics, and International Trade," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 515-539.
    4. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    5. Nils-Henrik M. von der Fehr & Petter Vegard Hansen, 2010. "Electricity Retailing in Norway," The Energy Journal, , vol. 31(1), pages 25-46, January.
    6. Xiaoping He & David Reiner, 2015. "Why Do More British Consumers Not Switch Energy Suppliers? The Role of Individual Attitudes," Working Papers EPRG 1515, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    9. Ali Hortaçsu & Seyed Ali Madanizadeh & Steven L. Puller, 2017. "Power to Choose? An Analysis of Consumer Inertia in the Residential Electricity Market," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 192-226, November.
    10. Faye Steiner, 2004. "The Market Response to Restructuring: A Behavioral Model," Journal of Regulatory Economics, Springer, vol. 25(1), pages 59-80, January.
    11. Chris M. Wilson & Catherine Waddams Price, 2010. "Do consumers switch to the best supplier?," Oxford Economic Papers, Oxford University Press, vol. 62(4), pages 647-668, October.
    12. Michael Grubb, 2015. "Failing to Choose the Best Price: Theory, Evidence, and Policy," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 303-340, November.
    13. Daglish, Toby, 2016. "Consumer governance in electricity markets," Energy Economics, Elsevier, vol. 56(C), pages 326-337.
    14. Gamble, Amelie & Juliusson, E. Asgeir & Gärling, Tommy, 2009. "Consumer attitudes towards switching supplier in three deregulated markets," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(5), pages 814-819, October.
    15. Yang, Yingkui, 2014. "Understanding household switching behavior in the retail electricity market," Energy Policy, Elsevier, vol. 69(C), pages 406-414.
    16. Buryk, Stephen & Mead, Doug & Mourato, Susana & Torriti, Jacopo, 2015. "Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure," Energy Policy, Elsevier, vol. 80(C), pages 190-195.
    17. Sirin, Selahattin Murat & Gonul, Mustafa Sinan, 2016. "Behavioral aspects of regulation: A discussion on switching and demand response in Turkish electricity market," Energy Policy, Elsevier, vol. 97(C), pages 591-602.
    18. Mariano,Roberto & Schuermann,Til & Weeks,Melvyn J. (ed.), 2000. "Simulation-based Inference in Econometrics," Cambridge Books, Cambridge University Press, number 9780521591126, September.
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    Cited by:

    1. Massimo Dragotto & Marco Magnani & Paola Valbonesi, 2021. "Consumer inertia and firm incumbency in liberalised retail electricity markets: an empirical investigation," "Marco Fanno" Working Papers 0277, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Heloísa P. Burin & Julio S. M. Siluk & Graciele Rediske & Carmen B. Rosa, 2020. "Determining Factors and Scenarios of Influence on Consumer Migration from the Regulated Market to the Deregulated Electricity Market," Energies, MDPI, vol. 14(1), pages 1-18, December.
    3. Marco Magnani & Fabio M. Manenti & Paola Valbonesi, 2022. "Measuring Switching Costs in the Italian Residential Electricity Market," "Marco Fanno" Working Papers 0258, Dipartimento di Scienze Economiche "Marco Fanno".
    4. Hussain, Shahid & Seet, Pi-Shen & Ryan, Maria & Iranmanesh, Mohammad & Cripps, Helen & Salam, Abdul, 2022. "Determinants of switching intention in the electricity markets - An integrated structural model approach," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).

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