J. Cayla, B. Allibe, and M. Laurent, From practices to behaviors: Estimating the impact of household behavior on space heating energy consumption, Proceedings of the ACEEE Summer Study on Buildings, pp.15-20, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00509187

J. Cayla, Les ménages sous la contrainte carbone -Exercice de modélisation prospective des secteurs résidentiel et transports avec TIMES, 2011.

J. Cayla, N. Maizi, and C. Marchand, The role of income in energy consumption behavior: Evidence from French households data, Energy Policy, vol.39, pp.7874-7883, 2011.

M. C. Claudy, C. Michelsen, and A. O'driscoll, The diffusion of microgeneration technologies -assessing the influence of perceived product characteristics on home owners' willingness to pay, Energy Policy, vol.39, issue.3, pp.1459-1469, 2011.

R. Crassous, Modéliser le long terme dans un monde de second rang: application aux politiques climatiques, 2008.

L. Giraudet, Les instruments économiques de maitrise de l' énergie : Une évaluation multidimensionnelle, 2011.

L. A. Greening, D. L. Greene, and C. Difiglio, Energy efficiency and consumption -the rebound effect -a survey, Energy Policy, pp.389-401, 2000.

. Grenelle, Environmental round table of the Ministry of Ecology and Sustainable Planning and Development, 2009.

R. Haas and P. Biermayr, The rebound effect for space heating: Empirical evidence from Austria, Energy Policy, vol.28, pp.403-410, 2000.
DOI : 10.1016/s0301-4215(00)00023-9

J. A. Hausman, Individual discount rates and the purchase and utilization of energy-using durables, The Bell Journal of Economics, vol.10, pp.33-54, 1979.

J. Hourcade, M. Jaccard, C. Bataille, and F. Ghersi, Hybrid modeling: New answers to old challenges, Introduction to the special issue of The Energy Journal, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00716778

, World Energy Outlook, 2011.

, Climate Change 1995: Economic and Social Dimensions of Climate Change, Contribution of Working Group III to the Second Assessment of the Intergovernmental Panel on Climate Change, p.448, 1995.

M. Jaccard and M. Dennis, Estimating home energy decision parameters for a hybrid energy-economy policy model, Environmental Modeling and Assessment, vol.11, pp.91-100, 2006.

A. B. Jaffe, R. G. Newell, and R. N. Stavins, Economics of energy efficiency, Encyclopedia of Energy, vol.2, 2004.

L. G. Swan and V. I. , Modeling of end-use energy consumption in the residential sector: A review of modeling techniques, Renewable and Sustainable Energy Reviews, vol.13, pp.1819-1835, 2009.

K. Train, Discount rates in consumer's energy-related decisions: a review of the literature, pp.1243-1253, 1985.

J. Traisnel, D. Joliton, M. Laurent, S. Caffiaux, and A. Mazzenga, Habitat Facteur 4 Étude d'une réduction des émissions de CO2 liées au confort thermique dans l'habitat à l'horizon 2050, p.104, 2010.

. Ufe, Electricité 2030: quels choix pour la France?, 2011.

D. Urge-vorsatz, A. Novikova, and M. Sharmina, Counting good: quantifying the co-benefits of improved efficiency in buildings, ECEEE summer study, 2009.

C. J. Van-oel, A. Bogerd, and G. J. De-haas, Occupantowners preferences in decision making of low energy renovation concepts, ECEEE Summer Study, 2009.

M. Weiss, M. Junginger, M. K. Patel, and K. Blok, A review of experience curve analyses for energy demand technologies, Technological Forecasting and Social Change, vol.77, pp.411-428, 2010.

C. Wilson and H. Dowlatabadi, Models of Decision Making and Residential Energy Use, Annual Review of Environment and Resources, vol.32, pp.169-203, 2007.

F. Wirl, Thermal comfort, energy conservation and fuel substitution: an economic-engineering approach, Energy Systems and Policy, vol.11, pp.311-328, 1988.

, Glossary NEB Non-Energy Benefit EEB Energy Efficiency Barrier EPC Energy Performance Certificate TBS Theoretical Budget Share

, BEUS Buildings Energy Use Simulation model

A. B. Jaffe and R. N. Stavins, The energy-efficiency gap. What does it mean?, Energy Policy, vol.22, pp.804-881, 1994.

M. Laurent, B. Allibe, and D. Osso, Energy efficient technologies for all! Testing the efficiency of an innovative conditional subsidy on refurbishment market, Proceedings of the ECEEE Summer Study, pp.2-231, 2011.

M. Laurent, B. Allibe, C. Tigchelaar, T. Oreszczyn, I. Hamilton et al., Back to reality: How domestic energy efficiency policies in four European countries can be improved by using empirical data instead of normative calculation, 2013.

. Mecsl, Arrêté du 6 mai 2008 portant confirmation de l'approbation de diverses méthodes de calcul pour le diagnostic de performance énergétique en France métropol-itaine, NOR DEVU0810970A, Annual review of environment and resources, vol.35, pp.305-344, 2008.

B. Ademe and C. , Observatoire Permanent de l'amélioration Energétique du Logement, Campagne, 2006.

S. Planton and J. Durand, Quel climat régional à l'horizon 2020 et 2050?, 2005.

N. Rivers and M. Jaccard, Combining top-down and bottom-up approaches to energy-economy modeling using discrete choice methods, The Energy Journal, vol.26, issue.1, pp.83-106, 2005.
DOI : 10.5547/issn0195-6574-ej-vol26-no1-4

S. Sorrell, J. Dimitropoulos, and M. Sommerville, Empirical estimates of the direct rebound effect: A review, Energy Policy, vol.37, issue.4, pp.1356-1371, 2009.

M. Sunikka-blank and R. Galvin, Introducing the prebound effect: the gap between performance and actual energy consumption, Building Research & Information, vol.40, issue.3, pp.260-273, 2012.
DOI : 10.1080/09613218.2012.690952