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Persistence and dynamics of energy poverty in Portugal: an empirical assessment using Eu-silc data

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2021-22_fall_44450_marc-sebastian-winkler.pdf1.14 MBAdobe PDF Ver/Abrir

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Making use of EU-SILC longitudinal data, I investigate the persistence and dynamics of energy poverty in Portugal as measured by the ability to keep the home warm. I estimate a dynamic random effects probit model and find state dependencies of 15.2% in energy poverty. A household’s income, employment status, educational degree, and tenure status are found to be important predictors of energy poverty. I apply a multinomial logit model and find poverty duration states to highly depend on a household’s region of residence. Using a discrete time hazard model, I identify trigger events but find no significant effects. Key words: EU-SILC, Energy poverty, Fuel poverty, Dynamic random effects probit, Multinomial logit, Hazard model.

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Eu-silc Energy poverty Fuel poverty Dynamic random effects probit Multinomial logit

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Licença CC