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413047-Underground-Commercial-Sex-Economy

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Example<br />

The tables below (Table 3.12 Cross-City <strong>Sex</strong> Proxy Ratios) list the cross-city ratios of the sex proxy , in 2003<br />

and 2007. The table tells us, for example, that in 2003 the proxy for the underground cash-based sex economy in<br />

Miami ( was 2.10 times what it was in Dallas ( . This single ratio entry would give rise to two linear<br />

constraints:<br />

In other words, although the data we have available suggests that the 2003 Miami underground cash-based sex<br />

economy is 110 percent larger than that in Dallas, we recognize that there may be some imprecision, and allow for<br />

it to be between 68 percent and152 percent larger. The next table (Table 3.13 Cross-Year <strong>Sex</strong> Proxy Ratios) lists<br />

the cross-year ratios of the sex proxy S^* (value in 2007 over the value in 2003). The table tells us, for example,<br />

that the underground cash-based sex economy in Miami (c_3) in 2007 was 81 percent of what it was in 2003. This<br />

single ratio entry would give rise to two linear constraints:<br />

Note that the entries in the tables below are derived directly from the values on the sex proxy as listed in<br />

Table 3.7 Final Values of Proxy<br />

Table 3.12 Cross-City <strong>Sex</strong> Proxy Ratios<br />

2003 Atlanta Dallas Denver Miami San Diego Seattle DC<br />

Atlanta 1.00 0.58 0.20 1.07 0.52 0.18 0.65<br />

Dallas 1.86 1.00 0.48 2.10 1.25 0.42 1.29<br />

Denver 5.04 2.11 1.00 4.20 1.82 0.89 2.73<br />

Miami 0.98 0.60 0.33 1.00 0.53 0.37 0.71<br />

San Diego 1.92 0.80 0.69 2.03 1.00 0.54 1.14<br />

Seattle 5.68 2.37 1.13 4.44 2.15 1.00 2.37<br />

DC 1.59 0.79 0.37 1.70 0.88 0.46 1.00<br />

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