06.01.2015 Views

413047-Underground-Commercial-Sex-Economy

413047-Underground-Commercial-Sex-Economy

413047-Underground-Commercial-Sex-Economy

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

1.4. The Linear Program<br />

1.4.1. <strong>Sex</strong> Proxy Ratio Constraints<br />

For each distinct pair of cities and choice of time index , we introduce upper and<br />

lower bound ratio constraints bounding the relative sizes of the cash-based sex economies of cities and<br />

cities .<br />

These constraints codify that the ratio of values the sex variables must agree with the corresponding<br />

ratios of the linear proxy , up to a slack margin of . In our analysis, we took , allowing<br />

for a 20 percent deviation of the sex variable ratios from the proxy ratios. The setting of the slack margin<br />

was determined to be reasonable based on an analysis of the mean standard deviation of the weekly gross<br />

cash intake across pimps across cities/times (which is a constituent of linear proxy , as described in<br />

section 1.2.1).<br />

Additionally, for each city we introduce upper and lower bound ratio constraints on the relative<br />

change in the cash-based sex economy of from to .<br />

This yields a homogeneous system of<br />

which concern relative sizes cash-based sex economies.<br />

linear ratio inequalities on the 14 variables<br />

38

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!