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The levels and determinants of household insulation activity

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  • Smiley, Robert

Abstract

This paper provides evidence of current levels of household insulation, including storm windows and storm doors. A logistic probability model is used to determine the effect of heating fuel price, climate, and household characteristics (such as age of head and income) on the likelihood that a household will be well insulated or will intend to add insulation in the near future. Households headed by individuals under 50 years of age are better insulated, as are households with annual income greater than $20,000. Middle income families ($15,000–30,000/yr) are the most likely to plan to add insulation, while low income families are least likely. Households with a head over 65 years of age are less likely to plan to add insulation. These findings, in addition to evidence concerning households which are currently poorly insulated and do not plan to add insulation, are used to recommend modification of recently passed energy legislation.

Suggested Citation

  • Smiley, Robert, 1979. "The levels and determinants of household insulation activity," Energy, Elsevier, vol. 4(6), pages 1087-1098.
    • Handle: RePEc:eee:energy:v:4:y:1979:i:6:p:1087-1098
    DOI: 10.1016/0360-5442(79)90099-9
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    Cited by:

    1. Henningsen, Geraldine & Wiese, Catharina, 2019. "Do Household Characteristics Really Matter? A Meta-Analysis on the Determinants of Households’ Energy-Efficiency Investments," MPRA Paper 101701, University Library of Munich, Germany.
    2. Camprubí, Lluís & Malmusi, Davide & Mehdipanah, Roshanak & Palència, Laia & Molnar, Agnes & Muntaner, Carles & Borrell, Carme, 2016. "Façade insulation retrofitting policy implementation process and its effects on health equity determinants: A realist review," Energy Policy, Elsevier, vol. 91(C), pages 304-314.
    3. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    4. M R Ferguson, 1993. "Energy-Saving Housing Improvements in Canada (1979–82): A Nested Logit Analysis," Environment and Planning A, , vol. 25(5), pages 609-625, May.

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