Objective vs. Subjective Fuel Poverty and Self-Assessed Health
Author
Abstract
(This abstract was borrowed from another version of this item.)
Suggested Citation
Download full text from publisher
Other versions of this item:
- Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
- Llorca, M. & Rodriguez-Alvarez, A. & Jamasb, T., 2018. "Objective vs. Subjective Fuel Poverty and Self-Assessed Health," Cambridge Working Papers in Economics 1843, Faculty of Economics, University of Cambridge.
References listed on IDEAS
- Euan Phimister, Esperanza Vera-Toscano and Deborah Roberts, 2015. "The Dynamics of Energy Poverty: Evidence from Spain," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
- Raffaele Miniaci & Carlo Scarpa & Paola Valbonesi, 2008.
"Distributional Effects of Price Reforms in the Italian Utility Markets,"
Fiscal Studies, Institute for Fiscal Studies, vol. 29(1), pages 135-163, March.
- Raffaele Miniaci & Carlo Scarpa & Paola Valbonesi, 2007. "Distributional effects of price reforms in the Italian utility markets," "Marco Fanno" Working Papers 0050, Dipartimento di Scienze Economiche "Marco Fanno".
- Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Energy poverty in the UK: Is there a difference between rural and urban areas?," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204213, Agricultural Economics Society.
- Clinch, J. Peter & Healy, John D., 2001. "Cost-benefit analysis of domestic energy efficiency," Energy Policy, Elsevier, vol. 29(2), pages 113-124, January.
- Dorothee Charlier and Berangere Legendre, 2019.
"A Multidimensional Approach to Measuring Fuel Poverty,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
- Dorothée Charlier & Bérangère Legendre, 2019. "A Multidimensional Approach to Measuring Fuel Poverty," Post-Print halshs-01957796, HAL.
- Legendre, Bérangère & Ricci, Olivia, 2015.
"Measuring fuel poverty in France: Which households are the most fuel vulnerable?,"
Energy Economics, Elsevier, vol. 49(C), pages 620-628.
- Bérangère Legendre & Olivia Ricci, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Post-Print hal-01283999, HAL.
- Ormandy, David & Ezratty, Véronique, 2012. "Health and thermal comfort: From WHO guidance to housing strategies," Energy Policy, Elsevier, vol. 49(C), pages 116-121.
- Maciej Lis & Katarzyna Salach & Konstancja Swiecicka, 2016. "Heterogeneity of the fuel poor in Poland – quantification and policy implications," IBS Working Papers 08/2016, Instytut Badan Strukturalnych.
- Marcel Kerkhofs & Maarten Lindeboom, 1995. "Subjective health measures and state dependent reporting errors," Health Economics, John Wiley & Sons, Ltd., vol. 4(3), pages 221-235, May.
- Vilches, Alberto & Barrios Padura, Ángela & Molina Huelva, Marta, 2017. "Retrofitting of homes for people in fuel poverty: Approach based on household thermal comfort," Energy Policy, Elsevier, vol. 100(C), pages 283-291.
- Florian Fizaine & Sondès Kahouli, 2019.
"On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population,"
Applied Economics, Taylor & Francis Journals, vol. 51(11), pages 1081-1110, March.
- Florian Fizaine & Sondès Kahouli, 2018. "On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population," Post-Print halshs-01957436, HAL.
- Scarpellini, Sabina & Rivera-Torres, Pilar & Suárez-Perales, Inés & Aranda-Usón, Alfonso, 2015. "Analysis of energy poverty intensity from the perspective of the regional administration: Empirical evidence from households in southern Europe," Energy Policy, Elsevier, vol. 86(C), pages 729-738.
- John Hills, 2012. "Final report of the Hills Independent Fuel Poverty Review: Getting the Measure of Fuel Poverty," CASE Reports casereport72, Centre for Analysis of Social Exclusion, LSE.
- Fernandez-Blanco, Victor & Orea, Luis & Prieto-Rodriguez, Juan, 2009. "Analyzing consumers heterogeneity and self-reported tastes: An approach consistent with the consumer's decision making process," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 622-633, August.
- Deller, David, 2018.
"Energy affordability in the EU: The risks of metric driven policies,"
Energy Policy, Elsevier, vol. 119(C), pages 168-182.
- David Deller, 2016. "Energy Affordability in the EU: The Risks of Metric Driven Policies," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2016-09, Centre for Competition Policy, University of East Anglia, Norwich, UK..
- Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019.
"Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach,"
Energy Policy, Elsevier, vol. 131(C), pages 22-32.
- Ana Rodríguez-Álvarez & Luis Orea & Tooraj Jamasb, 2016. "Fuel Poverty and Well-Being: A Consumer Theory and Stochastic Frontier Approach," Working Papers EPRG 1628, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Fuel poverty in the UK: Is there a difference between rural and urban areas?," Energy Policy, Elsevier, vol. 87(C), pages 216-223.
- Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
- Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
- Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Measuring energy poverty in Greece," Energy Policy, Elsevier, vol. 94(C), pages 157-165.
- Papada, Lefkothea & Kaliampakos, Dimitris, 2018. "A Stochastic Model for energy poverty analysis," Energy Policy, Elsevier, vol. 116(C), pages 153-164.
- Recalde, Martina & Peralta, Andrés & Oliveras, Laura & Tirado-Herrero, Sergio & Borrell, Carme & Palència, Laia & Gotsens, Mercè & Artazcoz, Lucia & Marí-Dell’Olmo, Marc, 2019. "Structural energy poverty vulnerability and excess winter mortality in the European Union: Exploring the association between structural determinants and health," Energy Policy, Elsevier, vol. 133(C).
- Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(2), pages 231-250, June.
- Maciej Lis & Agata Miazga & Katarzyna Salach, 2016. "Location, location, location. What accounts for regional variation of fuel poverty in Poland?," IBS Working Papers 09/2016, Instytut Badan Strukturalnych.
- Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
- Andrew Clark & Fabrice Etilé & Fabien Postel-Vinay & Claudia Senik & Karine Van der Straeten, 2005.
"Heterogeneity in Reported Well-Being: Evidence from Twelve European Countries,"
Economic Journal, Royal Economic Society, vol. 115(502), pages 118-132, March.
- Clark, Andrew E. & Etilé, Fabrice & Postel-Vinay, Fabien & Senik, Claudia & Van der Straeten, Karine, 2004. "Heterogeneity in Reported Well-Being: Evidence from Twelve European Countries," IZA Discussion Papers 1339, Institute of Labor Economics (IZA).
- Andrew E. Clark & Fabrice Etilé & Fabien Postel-Vinay & Claudia Senik & Karine van Der Straeten, 2004. "Heterogeneity in reported well-being:Evidence from twelve European countries," Working Papers hal-00242916, HAL.
- Andrew E. Clark & Fabrice Etilé & Fabien Postel-Vinay & Claudia Senik & Karine van Der Straeten, 2005. "Heterogeneity in reported wel-being: Evidence from twelve European countries," Post-Print halshs-00754095, HAL.
- Andrew E. Clark & Fabrice Etilé & Fabien Postel-Vinay & Claudia Senik & Karine Van der Straeten, 2004. "Heterogeneity in reported well-being: evidence from twelve european countries," DELTA Working Papers 2004-01, DELTA (Ecole normale supérieure).
- Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
- Peter Heindl, 2015.
"Measuring Fuel Poverty: General Considerations and Application to German Household Data,"
FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 71(2), pages 178-215, June.
- Heindl, Peter, 2013. "Measuring fuel poverty: General considerations and application to German household data," ZEW Discussion Papers 13-046, ZEW - Leibniz Centre for European Economic Research.
- Peter Heindl, 2014. "Measuring Fuel Poverty: General Considerations and Application to German Household Data," SOEPpapers on Multidisciplinary Panel Data Research 632, DIW Berlin, The German Socio-Economic Panel (SOEP).
- repec:dau:papers:123456789/14815 is not listed on IDEAS
- Waddams Price, Catherine & Brazier, Karl & Wang, Wenjia, 2012. "Objective and subjective measures of fuel poverty," Energy Policy, Elsevier, vol. 49(C), pages 33-39.
- Fahmy, Eldin & Gordon, David & Patsios, Demi, 2011. "Predicting fuel poverty at a small-area level in England," Energy Policy, Elsevier, vol. 39(7), pages 4370-4377, July.
- Dorothée Charlier & Bérangère Legendre, 2016. "Fuel Poverty: A Composite Index Approach," Policy Papers 2016.06, FAERE - French Association of Environmental and Resource Economists.
- Anderson, Will & White, Vicki & Finney, Andrea, 2012. "Coping with low incomes and cold homes," Energy Policy, Elsevier, vol. 49(C), pages 40-52.
- Legendre, Bérangère & Ricci, Olivia, 2015.
"Measuring fuel poverty in France: Which households are the most fuel vulnerable?,"
Energy Economics,
Elsevier, vol. 49(C), pages 620-628.
- Bérangère Legendre & Olivia Ricci, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Post-Print hal-01283999, HAL.
- Bérangère Legendre & Olivia Ricci, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Post-Print hal-01245305, HAL.
- Liddell, Christine & Morris, Chris, 2010. "Fuel poverty and human health: A review of recent evidence," Energy Policy, Elsevier, vol. 38(6), pages 2987-2997, June.
- Thomas F. Crossley & Federico Zilio, 2018.
"The health benefits of a targeted cash transfer: The UK Winter Fuel Payment,"
Health Economics, John Wiley & Sons, Ltd., vol. 27(9), pages 1354-1365, September.
- Crossley, T.F.; Zilio, F.;, 2017. "The Health Benefits of a Targeted Cash Transfer:The UK Winter Fuel Payment," Health, Econometrics and Data Group (HEDG) Working Papers 17/23, HEDG, c/o Department of Economics, University of York.
- Thomas Crossley & Federico Zilio, 2017. "The health benefits of a targeted cash transfer: the UK Winter Fuel Payment," IFS Working Papers W17/23, Institute for Fiscal Studies.
- F. Crossley, Thomas & Zilio, Federico, 2017. "The health benefits of a targeted cash transfer: the UK Winter Fuel Payment," ISER Working Paper Series 2017-10, Institute for Social and Economic Research.
- William H. Greene & Mark N. Harris & Bruce Hollingsworth, 2015.
"Inflated Responses in Measures of Self-Assessed Health,"
American Journal of Health Economics, MIT Press, vol. 1(4), pages 461-493, Fall.
- William H. Greene & Mark N. Harris & Bruce Hollingsworth, 2015. "Inflated Responses in Measures of Self-Assessed Health," American Journal of Health Economics, University of Chicago Press, vol. 1(4), pages 461-493, Fall.
- William H. Greene & Mark N. Harris & Bruce Hollingsworth, 2014. "Inflated Responses in Measures of Self-Assessed Health," Working Papers 14-12, New York University, Leonard N. Stern School of Business, Department of Economics.
- Hills, John, 2011. "Fuel poverty: the problem and its measurement," LSE Research Online Documents on Economics 39270, London School of Economics and Political Science, LSE Library.
- Florian Fizaine & Sondès Kahouli, 2018. "On the power of indicators: how the choice of the fuel poverty measure affects the identification of the target population," Policy Papers 2018.01, FAERE - French Association of Environmental and Resource Economists.
- John Hills, 2011. "Fuel Poverty: The problem and its measurement. Interim Report of the Fuel Poverty Review," CASE Reports casereport69, Centre for Analysis of Social Exclusion, LSE.
- Ürge-Vorsatz, Diana & Tirado Herrero, Sergio, 2012. "Building synergies between climate change mitigation and energy poverty alleviation," Energy Policy, Elsevier, vol. 49(C), pages 83-90.
- Raffaele Miniaci & Carlo Scarpa & Paola Valbonesi, 2014. "Fuel poverty and the energy benefits system: The Italian case," IEFE Working Papers 66, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
- Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.
- Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
- Scarpellini, Sabina & Alexia Sanz Hernández, M. & Moneva, José M. & Portillo-Tarragona, Pilar & Rodríguez, María Esther López, 2019. "Measurement of spatial socioeconomic impact of energy poverty," Energy Policy, Elsevier, vol. 124(C), pages 320-331.
- Lawson, Rob & Williams, John & Wooliscroft, Ben, 2015. "Contrasting approaches to fuel poverty in New Zealand," Energy Policy, Elsevier, vol. 81(C), pages 38-42.
- John Hills, 2012. "Getting the measure of fuel poverty: Executive summary," CASE Briefs 31, Centre for Analysis of Social Exclusion, LSE.
- Miniaci, Raffaele & Scarpa, Carlo & Valbonesi, Paola, 2014. "Energy affordability and the benefits system in Italy," Energy Policy, Elsevier, vol. 75(C), pages 289-300.
- repec:aen:journl:eeep4_1_phimister is not listed on IDEAS
- Dubois, Ute, 2012. "From targeting to implementation: The role of identification of fuel poor households," Energy Policy, Elsevier, vol. 49(C), pages 107-115.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019.
"Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach,"
Energy Policy, Elsevier, vol. 131(C), pages 22-32.
- Ana Rodríguez-Álvarez & Luis Orea & Tooraj Jamasb, 2016. "Fuel Poverty and Well-Being: A Consumer Theory and Stochastic Frontier Approach," Working Papers EPRG 1628, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
- Recep Ulucak & Ramazan Sari & Seyfettin Erdogan & Rui Alexandre Castanho, 2021. "Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
- Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).
- Romero, José Carlos & Linares, Pedro & López, Xiral, 2018. "The policy implications of energy poverty indicators," Energy Policy, Elsevier, vol. 115(C), pages 98-108.
- Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
- Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
- Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021.
"Alleviating energy poverty in Europe: Front-runners and laggards,"
Energy Economics, Elsevier, vol. 103(C).
- Rodríguez-Álvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating Energy Poverty in Europe: Front-runners and Laggards," Working Papers 12-2021, Copenhagen Business School, Department of Economics.
- Charlier, Dorothée & Legendre, Bérangère, 2021. "Fuel poverty in industrialized countries: Definition, measures and policy implications a review," Energy, Elsevier, vol. 236(C).
- Igawa, Moegi & Managi, Shunsuke, 2022. "Energy poverty and income inequality: An economic analysis of 37 countries," Applied Energy, Elsevier, vol. 306(PB).
- Cadaval, María & Regueiro-Ferreira, Rosa Ma & Calvo, Santiago, 2022. "The role of the public sector in the mitigation of fuel poverty in Spain (2008–2019): Modeling the contribution of the BonoSocial deElectricidad," Energy, Elsevier, vol. 258(C).
- Drescher, Katharina & Janzen, Benedikt, 2021. "Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data," Energy Economics, Elsevier, vol. 102(C).
- Magdalena Cyrek & Piotr Cyrek, 2022. "Rural Specificity as a Factor Influencing Energy Poverty in European Union Countries," Energies, MDPI, vol. 15(15), pages 1-24, July.
- Dorothée Charlier & Sondès Kahouli, 2019.
"From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations,"
The Energy Journal, , vol. 40(2), pages 101-138, March.
- Dorothee Charlier and Sondes Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
- Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Policy Papers 2018.06, FAERE - French Association of Environmental and Resource Economists.
- Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Working Papers 2018.11, FAERE - French Association of Environmental and Resource Economists.
- Lilia Karpinska & Sławomir Śmiech, 2021. "Escaping Energy Poverty: A Comparative Analysis of 17 European Countries," Energies, MDPI, vol. 14(18), pages 1-16, September.
- Dorothee Charlier and Berangere Legendre, 2019.
"A Multidimensional Approach to Measuring Fuel Poverty,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
- Dorothée Charlier & Bérangère Legendre, 2019. "A Multidimensional Approach to Measuring Fuel Poverty," Post-Print halshs-01957796, HAL.
- Marlena Piekut, 2020. "Patterns of Energy Consumption in Polish One-Person Households," Energies, MDPI, vol. 13(21), pages 1-31, October.
- Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
- Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).
- Heindl, Peter & Löschel, Andreas, 2015.
"Social implications of green growth policies from the perspective of energy sector reform and its impact on households,"
ZEW Discussion Papers
15-012, ZEW - Leibniz Centre for European Economic Research.
- Heindl, Peter & Löschel, Andreas, 2015. "Social implications of green growth policies from the perspective of energy sector reform and its impact on households," CAWM Discussion Papers 81, University of Münster, Münster Center for Economic Policy (MEP).
More about this item
Keywords
Fuel poverty in Spain; self-assessed health; latent class ordered probit model.;All these keywords.
JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2019-03-25 (Energy Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:enp:wpaper:eprg1823. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ruth Newman (email available below). General contact details of provider: https://edirc.repec.org/data/jicamuk.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.