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national multiple family submetering and allocation billing program ...

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analysis, intended to control best for competing explanations for water use differences among<br />

properties with different <strong>billing</strong> types, included properties with annual average per unit water<br />

usage that was outside of larger sample parameters. With such a small sample of pairs, the<br />

selection of a few properties with atypically high or low water use is always a possibility.<br />

Among the in-rent <strong>and</strong> RUBS matched pairs, the in-rent water usage was uncommonly high, at<br />

an average of 66 kgal per unit per year compared to 53 kgal per unit per year in the largest<br />

property sample <strong>and</strong> the RUBS use was slightly low at an average of 48 kgal per unit per year<br />

compared to 52 kgal per unit per year in the largest property sample.<br />

Since the researchers were blind to water use when selecting the sample, there could be<br />

no a priori control of abnormal water use. It seems that the exceptionally high water use in the<br />

in-rent properties matched to the RUBS properties most likely is the reason that this small<br />

matched-pair analysis shows a savings with RUBS. Just as it would be possible to find a small<br />

group of people whose reaction to a placebo pill would seem to help them recover quickly from<br />

the flu, we would not wish to conclude that the pill was, in fact, effective based on those limited<br />

findings when a larger study showed no such impact. Because the other analyses in this chapter<br />

where sample sizes were bigger <strong>and</strong> statistically controlled showed no water savings associated<br />

with RUBS, it is concluded that this small sample finding of a RUBS effect is most likely<br />

spurious.<br />

Pre/Post Billing Conversion<br />

The pre/post <strong>billing</strong> conversion analysis aimed to compare water use at the same property<br />

before <strong>and</strong> after a separate <strong>billing</strong> system was implemented. By keeping the building constant,<br />

the number of factors that could influence water use at a property are kept to a minimum.<br />

Through the manager survey data, any property that had changed from an in-rent system<br />

to a separate <strong>billing</strong> system was identified, along with the year of the conversion. Forty-six such<br />

properties were identified that had made such a change in 2000 or in 2001, <strong>and</strong> for which water<br />

use data were available in years both before <strong>and</strong> after the conversion year. To avoid including<br />

the transitional period of conversion, the water data from the year of conversion was excluded.<br />

Of the 46 properties identified, 39 had switched to RUBS, 1 to a hot water hybrid system,<br />

<strong>and</strong> 6 to <strong>submetering</strong>. The average annual water use before <strong>and</strong> after conversion for these<br />

properties is shown in Figure 5.18.<br />

172

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