Energy Consumption for Space Heating: A Discrete-Continuous Approach

By R. Nesbakken. 2001

171 citations recorded by the source corpus.

Subfields: Building and Construction, Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/98453358845a24106f87126412b4d7a604d0f15b

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Citations in the corpus

Sensitivity of Price Elasticity of Demand to Aggregation, Unobserved Heterogeneity, Price Trends, and Price Endogeneity: Evidence from U.S. Data (2016, unknown): “Also see Nesbakken (2001).”
Homeowners' preferences for adopting innovative residential heating systems: A discrete choice analysis for Germany (2012, background): “For Norway, Nesbakken (1999) and Vaage (2000) studied the choice of a heating technology and the resulting continuous energy demand.”
Determinants of residential space heating expenditures in Great Britain (2010, methodology): “A more recent example is a study conducted by Nesbakken (2001) who uses Norwegian data.”
Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data (2016, unknown): “…in the scope of several studies such as Labandeira et al. (2005) regarding prices; Cayla et al. (2010) or Cayla et al. (2011) regarding revenues; and Parti and Parti (1980), Dubin and McFadden (1984), Baker et al. (1989), Nesbakken (2001), Bernard et al. (1996) or Branch (1993) for cross analysis.”
Rebound Effects in German Residential Heating: Do Ownership and Income Matter? (2011, background): “4 Nesbakken (2001) estimates the energy consumption for space heating in Norway by means of a discrete-continuous approach.”
Estimating space heating determinants: An analysis of Greek households (2008, methodology): “Empirical studies for Japan and Western countries [9], United States of America [11] and Norway [6,7] confirm the positive correlation between residential consumption for space heating and age of household’s members.”
Who rebounds most? Estimating direct and indirect rebound effects for different UK socioeconomic groups (2014, result): “…theGHGemissions of householdswith comparable 17 This potential source of bias may help explain the differences between our results and several studies of direct rebound effects from improved insulation (Boardman and Milne, 2000; Guertin et al., 2003; Nesbakken, 2001; Sanders and Philipson, 2006).”