TY - JOUR
T1 - Objective vs. Subjective Fuel Poverty and Self-assessed Health
AU - Llorca, Manuel
AU - Rodriguez-Alvarez, Ana
AU - Jamasb, Tooraj
N1 - Published online: 12 March 2020
PY - 2020/3
Y1 - 2020/3
N2 - Identification of fuel poverty and its impact on individuals is a growing social issue. Classifying households using subjective measures of fuel poverty yields different results than when objective measures are used. Moreover, there are assessment-related difficulties in establishing the effects on health and wellbeing, which hinders policy design to tackle this problem. In this paper, we propose a latent class ordered probit model to control for subjectivity when analysing the influence of fuel poverty on self-reported health. This methodology is applied to a sample of 25,000 individuals in 11,000 households for the 2011–2014 period in Spain, where 5.1 million people (11% of the population) could not afford to heat their homes to an adequate temperature in 2014. The results show that poor housing conditions, low income, material deprivation, and fuel poverty, have a negative impact on health. We also find that the effect of objective fuel poverty and other poverty-related factors on health are stronger when we control for unobserved heterogeneity among individuals. Since objective measures alone may not fully capture the adverse effect of fuel poverty on health, we advocate policy approaches that combine both objective and subjective measures and its application by policymakers.
AB - Identification of fuel poverty and its impact on individuals is a growing social issue. Classifying households using subjective measures of fuel poverty yields different results than when objective measures are used. Moreover, there are assessment-related difficulties in establishing the effects on health and wellbeing, which hinders policy design to tackle this problem. In this paper, we propose a latent class ordered probit model to control for subjectivity when analysing the influence of fuel poverty on self-reported health. This methodology is applied to a sample of 25,000 individuals in 11,000 households for the 2011–2014 period in Spain, where 5.1 million people (11% of the population) could not afford to heat their homes to an adequate temperature in 2014. The results show that poor housing conditions, low income, material deprivation, and fuel poverty, have a negative impact on health. We also find that the effect of objective fuel poverty and other poverty-related factors on health are stronger when we control for unobserved heterogeneity among individuals. Since objective measures alone may not fully capture the adverse effect of fuel poverty on health, we advocate policy approaches that combine both objective and subjective measures and its application by policymakers.
KW - Fuel poverty in Spain
KW - Self-assessed health
KW - Ordered probit
KW - Latent class model
KW - Fuel poverty in Spain
KW - Self-assessed health
KW - Ordered probit
KW - Latent class model
UR - https://sfx-45cbs.hosted.exlibrisgroup.com/45cbs?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&ctx_enc=info:ofi/enc:UTF-8&ctx_ver=Z39.88-2004&rfr_id=info:sid/sfxit.com:azlist&sfx.ignore_date_threshold=1&rft.object_id=954921369597&rft.object_portfolio_id=&svc.holdings=yes&svc.fulltext=yes
U2 - 10.1016/j.eneco.2020.104736
DO - 10.1016/j.eneco.2020.104736
M3 - Journal article
VL - 87
JO - Energy Economics
JF - Energy Economics
SN - 0140-9883
M1 - 104736
ER -