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Book
The role of analysis in regulatory decision-making : the case of cable television
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Year: 1973 Publisher: Lexington-Toronto-London Lexington Books

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Explaining variations in hospital death rates : randomness, severity of illness, quality of care
Authors: ---
Year: 1991 Publisher: Santa Monica, CA : RAND Corporation,

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Hospital death rates vary markedly, even for the same disease. The authors studied a representative sample of 1,126 congestive heart failure patients and 1,150 acute myocardial infarction patients in hospitals with unexpectedly high disease-specific death rates (targeted hospitals) vs. all other (untargeted) hospitals in California, Illinois, Minnesota, and New York, using both inpatient deaths and deaths within 30 days of admission. Death rates in targeted hospitals were 5.0 to 10.9 higher per 100 admissions than in untargeted hospitals. However, 56 to 82 percent of the excess could result from random binomial variation, even if all hospitals provided the same quality of care to the same age/sex/race mix of patients. The authors measured severity of illness and quality of care using detailed medical records abstracts; at the individual patient level, higher severity and lower quality were both associated with higher probability of death. However, they found only small and insignificant differences in quality between targeted and untargeted hospitals; even at a 95 percent confidence bound on the estimated difference in quality, quality differences could explain only 0.3 or fewer of the excess deaths per 100 admissions in targeted hospitals. Severity differences were also small for hospitals treating congestive heart failure patients. For myocardial infarction patients, however, severity differences explained up to 2.8 excess deaths per 100 admissions in targeted hospitals. There is some evidence that targeting hospitals with consistently high death rates over periods longer than one year may better identify potential quality problems.


Book
Charging for local telephone calls : how household characteristics affect the distribution of calls in the GTE Illinois experiment
Authors: --- ---
Year: 1981 Publisher: Santa Monica, CA : RAND Corporation,

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When the billing of local telephone service is changed from flat rate to measured service, the distribution of monthly calling rates is altered. This report models the distribution of flat-rate telephone usage in terms of demographic variables and stochastic components; the shift to measured service affects both the systematic and stochastic parameters. The model is fitted by maximum likelihood to data for interviewed households participating in General Telephone's local measured service experiment in Illinois. Households tend to make more calls if they are larger (more people), older, or include teenagers. They tend to reduce calling proportionately more in response to usage charges if they average many calls under flat rate for any of the above reasons or for other, unexplained reasons. There is substantial variation in telephone usage by households with similar demographic characteristics. Consequently, the benefits and costs of local measured service will tend to be diffused across demographic groups.


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Physician ratings of appropriate indications for six medical and surgical procedures
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Year: 1991 Publisher: Santa Monica, CA : RAND Corporation,

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A short guide to electric utility load forecasting
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Year: 1986 Publisher: Santa Monica, CA : RAND Corporation,

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Electric utilities, governmental energy agencies, and some private economic forecasting services make long-term forecasts of electricity and peak demand. This report briefly reviews the methods currently used to make such load forecasts, describes sources of variation between forecasts, and discusses the problems that confront electricity forecasters.


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Response to time-of-day electricity rates by large business customers : initial analysis of data from ten U.S. utilities
Authors: --- --- --- ---
Year: 1983 Publisher: Santa Monica, CA : ©1983 RAND Corporation,

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This study reports an initial analysis of changes in relative peak electricity consumption for almost 4,000 industrial and commercial customers in ten U.S. utilities with time-of-day (TOD) rates now in effect. Relative peak loads declined about one percentage point on average when TOD rates were introduced. A small fraction of customers reduced their peak loads substantially, but most customers (including commercial customers as a whole) have apparently not as yet changed their consumption patterns in response to TOD rates. Average changes in load differ significantly by utility, industry, and year, and those changes are statistically related to the terms of the TOD rates that customers faced. Changes in load, while small in percentage terms, are large enough to justify TOD rates on a benefit/cost evaluation. Welfare gains average over $1,000 per year per customer, against a metering cost of approximately $65 per year when new meters are needed to monitor TOD rates.


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Hysterectomy : ratings of appropriateness

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