Abstract
In this study, we apply the ordered logit model to estimate the individual household electricity demand in Korea, using the energy census data conducted by Korea Energy Economics Institute in 1990. Our analysis is based on the disaggregate micro data, while most of the other studies on residential electricity demand use aggregate data. We extract the representative household behaviour for electricity demand. We propose how to aggregate the residential electricity demand from this disaggregate analysis by applying the probability model. This method provides us reasonably accurate values, comparing with the actual ones.
| Original language | English |
|---|---|
| Pages (from-to) | 205-209 |
| Number of pages | 5 |
| Journal | Energy Economics |
| Volume | 15 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1993 Jul |
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All Science Journal Classification (ASJC) codes
- Economics and Econometrics
- Energy(all)
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Ordered logit model for residential electricity demand in Korea. / Jung, Tae Yong.
In: Energy Economics, Vol. 15, No. 3, 07.1993, p. 205-209.Research output: Contribution to journal › Article
TY - JOUR
T1 - Ordered logit model for residential electricity demand in Korea
AU - Jung, Tae Yong
PY - 1993/7
Y1 - 1993/7
N2 - In this study, we apply the ordered logit model to estimate the individual household electricity demand in Korea, using the energy census data conducted by Korea Energy Economics Institute in 1990. Our analysis is based on the disaggregate micro data, while most of the other studies on residential electricity demand use aggregate data. We extract the representative household behaviour for electricity demand. We propose how to aggregate the residential electricity demand from this disaggregate analysis by applying the probability model. This method provides us reasonably accurate values, comparing with the actual ones.
AB - In this study, we apply the ordered logit model to estimate the individual household electricity demand in Korea, using the energy census data conducted by Korea Energy Economics Institute in 1990. Our analysis is based on the disaggregate micro data, while most of the other studies on residential electricity demand use aggregate data. We extract the representative household behaviour for electricity demand. We propose how to aggregate the residential electricity demand from this disaggregate analysis by applying the probability model. This method provides us reasonably accurate values, comparing with the actual ones.
UR - http://www.scopus.com/inward/record.url?scp=38249001261&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38249001261&partnerID=8YFLogxK
U2 - 10.1016/0140-9883(93)90007-E
DO - 10.1016/0140-9883(93)90007-E
M3 - Article
AN - SCOPUS:38249001261
VL - 15
SP - 205
EP - 209
JO - Energy Economics
JF - Energy Economics
SN - 0140-9883
IS - 3
ER -