Estimation of residential electricity demand function in Seoul by correction for sample selection bias

Determinants of households’ space heating type: A discrete choice analysis for German households

“…The effect of rural location is in line with prior results. 28 The tests for recombination of categories and the Hausman test do not provide any conflicting evidence with our approach chosen. The Wald test reports significance for all variables include.…”

“…Further research following this discrete-continuous method are Yoo et al (2007) for Korea, Liao and Chang (2002) for the U.S. and for Norway Nesbakken (1999) and Vaage (2000). Both Nesbakken (1999) and Vaage (2000) rely on household-specific variables to explain the choice of appliances, whereas Yoo et al (2007) use a logit model to control for sample selection bias due to non-response.…”

“…Both Nesbakken (1999) and Vaage (2000) rely on household-specific variables to explain the choice of appliances, whereas Yoo et al (2007) use a logit model to control for sample selection bias due to non-response. Notably, Vaage (2000) is one of the few contributions including several fuel types and combinations of heating types.…”

Empirical Analysis of Demand for residential electricity in Beijing: An Application of Co-Integration Techniques and Error-Correction Model

“…Holtedahl and Joutz (2004) took the disposable income per household, population growth, electricity price and urbanization level into consideration while predicting The electrical demand for residents in Taiwan. Yoo et al, expressed the residential electricity consumption in Seoul as a function of size of family, size of house, dummy for having a plasma display panel television, dummy for having an air conditioner, and the income per household [19]. Dilaver and Hunt considered electrical demand for residents in Turkish, and regarded it as a function that consumer of household total final consumption expenditure and electricity price of residents.…”

Going Beyond Tradition: Estimating Residential Electricity Demand Using an Appliance Index and Energy Services

“…They find considerable amount of heterogeneity in the estimated elasticities. Yoo et al (2007) use survey data from 380 households in Seoul and a bivariate model to account for sample selection. They find significant sample selection bias and also find that a plasma TV or an air conditioner has a significant positive impact in residential consumption in Seoul.…”