2016
DOI: 10.1016/j.enpol.2016.07.031
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Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 96 publications
(31 citation statements)
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“…Extra instrumental variables are necessary if the explanatory variables, price, and value-added are endogenous with the dependent variable, as cited by Miller and Alberini [32]. The aggregate energy-price index depends on the amount of each energy product that industry consumes and thus is endogenous with energy consumption.…”
Section: Model Specificationmentioning
confidence: 99%
“…Extra instrumental variables are necessary if the explanatory variables, price, and value-added are endogenous with the dependent variable, as cited by Miller and Alberini [32]. The aggregate energy-price index depends on the amount of each energy product that industry consumes and thus is endogenous with energy consumption.…”
Section: Model Specificationmentioning
confidence: 99%
“…GDP per capita, as a measure of income, is also almost certainly endogenous. Microstudies of energy demand often address price endogeneity (e.g., Miller and Alberini, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…According to previous studies conducted, there are several studies that define as determinants of energy demand, education [14,15,19,20] and the energy price [16][17][18][21][22][23]. It is worth mentioning that there are few studies that analyze the effect of these two variables on energy consumption using a spatial methodology with panel data for European countries, especially of the EU, in the context of evaluating the energy saving policy of Kyoto in 2008.…”
Section: Introductionmentioning
confidence: 99%