P. Baker and R. Blundell, THE MICROECONOMETRIC APPROACH TO MODELLING ENERGY DEMAND: SOME RESULTS FOR UK HOUSEHOLDS, Oxford Review of Economic Policy, vol.7, issue.2, pp.54-76, 1991.
DOI : 10.1093/oxrep/7.2.54

P. Baker, R. Blundell, and J. Micklewright, Modelling Household Energy Expenditures Using Micro-Data, The Economic Journal, vol.99, issue.397, pp.720-758, 1989.
DOI : 10.2307/2233767

W. A. Belson, Matching and Prediction on the Principle of Biological Classification, Applied Statistics, vol.8, issue.2, pp.65-75, 1959.
DOI : 10.2307/2985543

R. Blundell, D. Kristensen, and R. Matzkin, Bounding quantile demand functions using revealed preference inequalities, Journal of Econometrics, vol.179, issue.2, pp.112-127, 2014.
DOI : 10.1016/j.jeconom.2014.01.005

F. G. Braun, Determinants of households??? space heating type: A discrete choice analysis for German households, Energy Policy, vol.38, issue.10, pp.5493-5503, 2010.
DOI : 10.1016/j.enpol.2010.04.002

J. Cayla, B. Allibe, and M. Laurent, From Practices to Behaviors: Estimating the Impact of Household Behavior on Space Heating Energy Consumption, ACEEE Summer Study on Energy Efficiency in Buildings, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00509187

J. Cayla, N. Maizi, and C. Marchand, The role of income in energy consumption behaviour: Evidence from French households data, Energy Policy, vol.39, issue.12, 2011.
DOI : 10.1016/j.enpol.2011.09.036

URL : https://hal.archives-ouvertes.fr/hal-00634536

D. Charlier, Energy efficiency investments in the context of split incentives among French households, Energy Policy, vol.87, pp.465-79, 2015.
DOI : 10.1016/j.enpol.2015.09.005

I. Devalière, P. Briant, S. Arnault, and P. Doyle, La précarité énergétique : avoir froid ou dépenser trop pour se chauffer The use of automatic interaction detector and similar search procedures, INSEE Première Operational Research Quarterly, vol.24, issue.3, pp.465-467, 1351.

. Druckman, Missing carbon reductions? Exploring rebound and backfire effects in UK households, Energy Policy, vol.39, issue.6, pp.3572-3581, 2011.
DOI : 10.1016/j.enpol.2011.03.058

A. Druckman and T. Jackson, Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model, Energy Policy, vol.36, issue.8, 2008.
DOI : 10.1016/j.enpol.2008.03.021

J. Dubin, A. Miedema, and R. Chandran, Price Effects of Energy-Efficient Technologies: A Study of Residential Demand for Heating and Cooling, The RAND Journal of Economics, vol.17, issue.3, pp.310-325, 1986.
DOI : 10.2307/2555713

A. L. Greening, D. L. Greene, and C. Difiglio, Energy efficiency and consumption ??? the rebound effect ??? a survey, Energy Policy, vol.28, issue.6-7, pp.389-401, 2000.
DOI : 10.1016/S0301-4215(00)00021-5

O. Guerra-santin, L. Itard, and H. Visscher, The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock, Energy and Buildings, vol.41, issue.11, 2009.
DOI : 10.1016/j.enbuild.2009.07.002

R. Haas and P. Biermayr, The rebound effect for space heating Empirical evidence from Austria, Energy Policy, vol.28, issue.6-7, pp.6-7, 2000.
DOI : 10.1016/S0301-4215(00)00023-9

K. A. Hassett and G. E. Metcalf, Energy conservation investment, Energy Policy, vol.21, issue.6, pp.710-71610, 1993.
DOI : 10.1016/0301-4215(93)90294-P

D. Haughton and S. Oulabi, Direct marketing modeling with CART and CHAID, Journal of Direct Marketing, vol.5, issue.130, pp.16-26, 1993.
DOI : 10.1002/dir.4000070305

J. A. Hausman, Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables, The Bell Journal of Economics, vol.10, issue.1, 1979.
DOI : 10.2307/3003318

J. Hills, Getting the measure of fuel poverty: final report of the Fuel Poverty Review, 2012.

T. Jamasb and H. Meier, Household Energy Expenditure and Income Groups: Evidence from Great Britain. Cambridge Working Papers in Economics 1011, 2010.

T. Jamasb and H. Meier, Energy spending and vulnerable households. Cambridge Working Papers in Economics, 2011.
DOI : 10.1017/cbo9780511996191.019

URL : https://www.repository.cam.ac.uk/bitstream/1810/241867/1/cwpe1109.pdf

G. V. Kass, An Exploratory Technique for Investigating Large Quantities of Categorical Data, Applied Statistics, vol.29, issue.2, pp.119-127, 1980.
DOI : 10.2307/2986296

J. D. Khazzoom, Economic Implications of Mandated Efficiency in Standards for Household Appliances, The Energy Journal, vol.1, pp.21-40, 1980.

J. A. Mccarty and M. Hastak, Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression, Journal of Business Research, vol.60, issue.6, 2007.
DOI : 10.1016/j.jbusres.2006.06.015

H. Meier, T. Jamasb, and L. Orea, Necessity or Luxury Good? Household Energy Spending and Income in Britain 1991-2007, The Energy Journal, vol.34, issue.4, pp.109-128, 2013.
DOI : 10.5547/01956574.34.4.6

URL : https://www.repository.cam.ac.uk/bitstream/1810/243976/2/cwpe1239.pdf

H. Meier and K. Rehdanz, Determinants of residential space heating expenditures in Great Britain, Energy Economics, vol.32, issue.5, pp.949-959, 2010.
DOI : 10.1016/j.eneco.2009.11.008

R. Messenger and L. Mandell, A Modal Search Technique for Predictive Nominal Scale Multivariate Analysis, Journal of the American Statistical Association, vol.67, issue.340, pp.768-772, 1972.
DOI : 10.1086/224909

J. N. Morgan and R. C. Messenger, THAID a sequential analysis program for analysis of nominal scale dependent variables, Survey Research Center, 1973.

J. N. Morgan and J. A. Sonquist, Problems in the Analysis of Survey Data, and a Proposal, Journal of the American Statistical Association, vol.58, issue.302, pp.415-435, 1963.
DOI : 10.1080/01621459.1963.10500855

R. Nesbakken, Energy Consumption for Space Heating: A Discrete-Continuous Approach, Scandinavian Journal of Economics, vol.103, issue.1, pp.165-184, 2001.
DOI : 10.1111/1467-9442.00236

M. Parti and C. Parti, The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector, The Bell Journal of Economics, vol.11, issue.1, pp.10-23073003415, 1980.
DOI : 10.2307/3003415

I. Preston, V. White, B. Katharine, and D. Hirsh, Fuel Poverty. A Rapid Evidence Assessment for the Joseph Rowntree Foundation. Centre for Sustainable Energy, 2014.

K. Rehdanz, Determinants of residential space heating expenditures in Germany, Energy Economics, vol.29, issue.2, pp.167-182, 2007.
DOI : 10.1016/j.eneco.2006.04.002

G. Ritschard, CHAID and Earlier Supervised Tree Methods, Research Papers, vol.02, 2010.

D. Roberts, E. Vera-toscano, and E. Phimister, Fuel poverty in the UK: Is there a difference between rural and urban areas?, Energy Policy, vol.87, pp.216-223, 2015.
DOI : 10.1016/j.enpol.2015.08.034

R. C. Sonderegger, Movers and stayers: The resident's contribution to variation across houses in energy consumption for space heating, Energy and Buildings, vol.1, issue.3, pp.313-324, 1977.
DOI : 10.1016/0378-7788(78)90011-7

S. Sorrell and J. Dimitropoulos, The rebound effect: Microeconomic definitions, limitations and extensions, Ecological Economics, vol.65, issue.3, pp.636-649, 2008.
DOI : 10.1016/j.ecolecon.2007.08.013

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.486.9529

H. Thomson and C. Snell, Quantifying the prevalence of fuel poverty across the European Union. Energy Policy, Special Section: Transition Pathways to a Low Carbon Economy 52, 2013.

K. Vaage, Heating technology and energy use: a discrete/continuous choice approach to Norwegian household energy demand, Energy Economics, vol.22, issue.6, 2000.
DOI : 10.1016/S0140-9883(00)00053-0

M. Van-diepen and P. H. Franses, Evaluating chi-squared automatic interaction detection, Information Systems, vol.31, issue.8, pp.814-831, 2006.
DOI : 10.1016/j.is.2005.03.002

D. Vickers and P. Rees, Creating the UK National Statistics 2001 output area classification, Journal of the Royal Statistical Society: Series A (Statistics in Society), vol.125, issue.2, pp.379-403, 2007.
DOI : 10.1111/1475-4762.00009

P. Wyatt, A dwelling-level investigation into the physical and socio-economic drivers of domestic energy consumption in England, Energy Policy, vol.60, pp.540-549, 2013.
DOI : 10.1016/j.enpol.2013.05.037