|
|
|
|
|
| Alberini, Anna; Gans, Will; Velez-Lopez, Daniel. |
| We study residential demand for electricity and gas, working with nationwide household-level data that cover recent years, namely 1997-2007. Our dataset is a mixed panel/multi-year cross-sections of dwellings/households in the 50 largest metropolitan areas in the United States as of 2008. To our knowledge, this is the most comprehensive set of data for examining household residential energy usage at the national level, containing the broadest geographical coverage, and with the longest longitudinal component (up to 6 observations per dwelling). We estimate static and dynamic models of electricity and gas demand. We find strong household response to energy prices, both in the short and long term. From the static models, we get estimates of the own price... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Residential Electricity and Gas Demand; Price Elasticity Of Energy Demand; Static Model; Dynamic Panel Data Model; Partial Adjustment Model; Resource /Energy Economics and Policy; Q4; Q41; Q48; Q54; Q58. |
| Ano: 2011 |
URL: http://purl.umn.edu/99637 |
| |
|
|
| Gans, Will; Alberini, Anna; Longo, Alberto. |
| Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with “smart” meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of up to 20%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. At £15-17 per tonne of CO2e (2009£), the smart meter program... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Residential Energy; Electricity Demand; Feedback; Smart Meter; Information; Resource /Energy Economics and Policy; Q40; Q41; D8. |
| Ano: 2011 |
URL: http://purl.umn.edu/108202 |
| |
|
|
|
