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<br />. <br /> <br />. <br /> <br />. <br /> <br />DATA ANALYSIS <br /> <br />Creating the Data Set <br /> <br /> <br />Data for the estimation of the economic benefits of California's Urban Stream <br /> <br /> <br />Restoration Program consists of property transactions, property characteristics, stream project <br /> <br />characteristics and demographics of the residents living in the area. The DWR compiled the <br /> <br /> <br />data, beginning with the pairing of unfunded and funded projects according to similar <br /> <br /> <br />locations, demographics, and project characteristics. A total of seven project pairs were <br /> <br /> <br />pooled for analysis. Initially 12 projects were selected to reflect a geographic mix <br /> <br />throughout California, and to represent urban, suburban and rural stream restoration projects. <br /> <br />Funded projects similar in location were paired with unfunded projects in attempt to control <br /> <br />for location specific elements that might be difficult to quantify in a regression. This was <br /> <br /> <br />done because we were not certain if we could pool the sample across projects in different <br /> <br />locations due to the possibility they might have different regression coefficients. <br /> <br /> <br />Unfortunately, several projects had to be dropped since data on sales transactions or <br />characteristics of the unfunded project were not available. <br />Two pairs were from Santa Cruz County, four from Contra Costa (near the San <br />Francisco Bay area) and one from Solano County in northern California. The streams <br />involved in the funded projects averaged a flow of about 500 cubic feet per second during <br />storms and ranged from 2,000 to 3,000 cfs during peak winter flows. Each pair of projects <br />contained an average of 80 properties adjacent to a funded project and 70 properties near an <br /> <br />7 <br />