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other counties for the second lowest proportion of elderly population (11 percent). <br />Perhaps surprisingly, Los Angeles county has the lowest proportion elderly at 10 <br />percent. Riverside and San Bernardino counties have the highest proportion of <br />households benefiting from public assistance (8.6 and 8.9 percent, respectively) <br />while Orange and Ventura counties have the lowest (5.1 and 4.8 percent, <br />respectively). <br />We ultimately used the census data to segment the data set to assist on our <br />analysis. Specifically, high- (or low-) income is defined by whether the census <br />tract median household income is above (or below) the median census tract <br />household income in the corresponding county. High- (or low-) older population <br />proportion is defined by whether the census tract older population proportion is <br />above (or below) the median census tract older population proportion in the <br />corresponding county. <br />The smallest mobile homes are in Los Angeles county as measured by Unit's Size <br />(1,069 square feet) while the largest are in Orange county (1,172 square feet). <br />Ventura and San Diego counties have the oldest units (21.34 and 21.12 years, <br />respectively) while Riverside county has the youngest (16.14 years). <br />Table 5 provides the descriptive statistics for the sample's categorical covariates. <br />Doublewide mobile homes are the most common as indicated by a market share of <br />almost 70 percent for the type `Double'. The second biggest share is for <br />singlewides or the `Single' category at a market share of 27 percent; triple-wides or <br />the `Triple' category represent the luxury high -end mobile homes and have a 5 <br />percent share of the market. The market share of Doublewides in Orange county is <br />about 15 percentage points higher than in Los Angeles, while the market share of <br />Singlewides is about 15 percentage points lower perhaps reflecting the role of <br />mobile homes as a housing choice during the evolution of these adjacent markets. <br />As noted earlier, a number of qualitative ("dummy") variables were created which <br />are critical to the analysis. First, communities are identified in which rent control <br />of mobile home parks is or has been present. Second, the policy is classified as <br />rigid (by-laws which do not permit vacancy decontrol) or flexible (by-laws which <br />permit vacancy decontrol) depending on whether or not vacancy decontrol is <br />permitted. Then transactions within those jurisdictions were identified <br />accordingly. The results of this classification for the aggregate data set also appear <br />in Table 5. <br />