Residential consumption of gas and electricity in the U.S.: The role of prices and income

We study the 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. 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 elasticity of electricity demand in the -0.860 to -0.667 range, while the own price elasticity of gas demand is -0.693 to -0.566. These results are robust to a variety of checks. Contrary to earlier literature (Metcalf and Hassett, 1999; Reiss and White, 2005), we find no evidence of significantly different elasticities across households with electric and gas heat. The price elasticity of electricity demand declines with income, but the magnitude of this effect is small. These results are in sharp contrast to much of the literature on residential energy consumption in the United States, and with the figures used in current government agency practice. Our results suggest that there might be greater potential for policies which affect energy price than may have been previously appreciated. (C) 2011 Elsevier B.V. All rights reserved.

Response of residential electricity demand to price: The effect of measurement error

In this paper we present an empirical analysis of the residential demand for electricity using annual aggregate data at the state level for 48 US states from 1995 to 2007. Earlier literature has examined residential energy consumption at the state level using annual or monthly data, focusing on the variation in price elasticities of demand across states or regions, but has failed to recognize or address two major issues. The first is that, when fitting dynamic panel models, the lagged consumption term in the right-hand side of the demand equation is endogenous. This has resulted in potentially inconsistent estimates of the long-run price elasticity of demand. The second is that energy price is likely mismeasured.

Antimicrobial prescribing in residential homes.

Objectives: Research in residential homes has been limited to date and the extent of systemic and topical antimicrobial prescribing is largely unknown. The aim of this study was to investigate antimicrobial prescribing in residential homes in Northern Ireland (NI).

Methods: Point prevalence studies (PPSs) were completed in November 2010 (PPS1) and April 2011 (PPS2) in 30 residential homes. Data were obtained from care plans, medication administration records and staff in relation to antimicrobial prescribing and facility and resident characteristics, and analysed descriptively.

Results: The point prevalence of systemic antimicrobial prescribing was 9.4% in PPS1 and 9.2% in PPS2 (range 0.0%–33.3% during both PPSs). Trimethoprim was the most commonly prescribed systemic antimicrobial and the main indication was the prevention of urinary tract infections. Almost 25% of systemic antimicrobials were prescribed at inappropriate doses. The point prevalence of topical antimicrobial prescribing was 6.4% (range 0.0%–22.2%) in PPS1 and 5.9% (range 0.0%–21.1%) in PPS2. The most commonly prescribed topical antimicrobials were chloramphenicol eye preparations in PPS1 and fusidic acid skin preparations in PPS2; treatment with these topical antimicrobials was generally prolonged. More than 25% of all systemic and 55% of all topical antimicrobials were initiated following telephone consultations as opposed to face-to-face consultations.

Conclusions: The prevalence of systemic antimicrobial prescribing in residential homes in NI is relatively high compared with care homes (particularly nursing homes) in other countries. Systemic and topical antimicrobial prescribing is not always appropriate in terms of the doses prescribed and the duration of use. It is apparent that current strategies employed in NI are insuf?cient to ensure prudent antimicrobial prescribing within this environment.

Combining preference ordering and contingent valuation methods to assess non market benefit of alternative afforestation projects

The application of the contingent valuation method (CVM) in this paper incorporates a prior preference ordering of several alternative future afforestation programmes which could be implemented in Ireland over the next decade. This particular experimental design is thereby shown to reveal the potentially conflicting preferences of different groups within society. These findings are used to devise appropriate CVM scenarios to take account, not only of the efficiency gains of choosing a single policy alternative over others, but also the effects on the distribution of non market benefit between different groups within society, arising from choice between alternatives. (C) 1998 Elsevier Science Ltd. All rights reserved.