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study is often more art than science <strong>and</strong> typically the value selected is one the rate planner is<br />

comfortable with <strong>and</strong> can defend to supervisors <strong>and</strong> the general public. The elasticities<br />

developed in this study represent one of the few attempts to empirically determine an exclusive<br />

price elasticity for the multi-<strong>family</strong> sector. As such, it contributes important information to the<br />

body of literature on the subject.<br />

Table 6.8 Comparison of selected price <strong>and</strong> elasticity studies<br />

Researcher/Study Price Elasticity Notes<br />

Howe <strong>and</strong> Linaweaver (1967) -0.231<br />

21 areas in US: Residential indoor use.<br />

Camp (1978)<br />

-0.03 to -0.29<br />

10 Northern MS cities: Linear equation.<br />

-0.35 to -0.40<br />

10 Northern MS cities: Logarithmic equation.<br />

Danielson (1979)<br />

-0.27<br />

Raleigh, NC: Using disaggregated data for total residential<br />

dem<strong>and</strong>.<br />

-0.305<br />

Raleigh, NC: Using disaggregated data for winter dem<strong>and</strong>.<br />

Billings <strong>and</strong> Agthe (1980) -0.27 to -0.61<br />

Tucson, AZ: Using two price variables <strong>and</strong> increasing block<br />

rates.<br />

Carver <strong>and</strong> Bol<strong>and</strong> (1980) -0.1<br />

Washington, DC: Short-term residential dem<strong>and</strong>.<br />

Howe (1982) -0.06<br />

21 areas in US: Residential indoor use.<br />

Planning <strong>and</strong> Management<br />

-0.2 to -0.4<br />

National: Total residential water use, reviewed over 27 water<br />

dem<strong>and</strong> studies.<br />

Consultants (1984) -0.06 to -0.8<br />

National: Indoor residential water use, reviewed over 5 water<br />

dem<strong>and</strong> studies.<br />

-0.262<br />

Columbus, OH: Long-term residential.<br />

Schneider <strong>and</strong> Whitlatch (1991)<br />

-0.119<br />

Columbus, OH: Short-term residential.<br />

Hanemann (1998) -0.01 to -1.38<br />

National: Reviewed municipal <strong>and</strong> industrial water dem<strong>and</strong><br />

studies from 1951 to 1991.<br />

Goodman (1999) -0.7<br />

57 US cities: Extrapolates from single-<strong>family</strong> to multi-<strong>family</strong><br />

sector.<br />

National Submetering <strong>and</strong><br />

Allocation Billing Program Study<br />

(2004)<br />

-0.27<br />

12 US cities: Multi-<strong>family</strong> indoor use<br />

-0.07 to -0.16<br />

Submetered indoor use. 26 multi-<strong>family</strong> properties in 3 different<br />

geographic regions.<br />

ECONOMIC COMPARISON OF SUBMETERING AND RUBS BASED ON<br />

CONSUMER CHOICE THEORY<br />

Consumer Choice theory can be used to analyze the economic implications for<br />

<strong>submetering</strong> <strong>and</strong> RUBS schemes. 33<br />

33 This analysis was developed by team economist Dr. Stephen Fisher <strong>and</strong> Dr. G. Hossein Par<strong>and</strong>vash, Principal<br />

Economist for the City of Portl<strong>and</strong>, Bureau of Water Works to examine the economic theoretical underpinnings of<br />

the <strong>submetering</strong> <strong>and</strong> RUBS systems.<br />

205

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