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413047-Underground-Commercial-Sex-Economy

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direct estimation method applied to the survey data generates values of<br />

below.<br />

provided in the table<br />

Table 3.4 Proxy<br />

for Pimp Population Size<br />

City<br />

Atlanta 0.212<br />

Dallas 0.207<br />

Denver 0.054<br />

Miami 0.410<br />

San Diego 0.103<br />

Seattle 0.105<br />

DC 0.139<br />

Kansas City N/A<br />

A potential objection to the aforementioned proxy is that it does not take into account the distance<br />

between UCSE participant’s home city and candidate city. Such an objection, if valid, would further argue<br />

that the reason Seattle attracted few UCSE participants could be that Seattle is far away from the other<br />

cities in the sample—and not that it is inherently unattractive. Such a sampling frame necessarily implies<br />

that cities which are central (resp. distant) from the cities in the study would witness larger (resp.<br />

smaller) cardinalities for , which, in turn would introduce a distance related bias into the above<br />

proxy. The next proxy remedies this specific potential concern.<br />

B. Pimp Population Size Proxy : Gravity Model based Estimation<br />

Here we present the Gravity Model, a stochastic process that governs the inclination of pimps to work in<br />

cities outside of their “home” city. In the limit (of large pimp populations and long timescales), the Gravity<br />

Model yields a stationary distribution of the numbers of pimps across cities.<br />

We follow the notational conventions of the previous section, restated briefly here:<br />

is the set of UCSE participants, and<br />

is the set of cities. Each UCSE participant<br />

identifies a “home” city , as well as the set of cities, excluding , which they<br />

“visited” in the course of their work history.<br />

For the Gravity Model, we assume that each city<br />

has some exogenously determined (and possibly<br />

unobservable) characteristic that stands to attract each UCSE participant to it, leading them to<br />

overcome the costs implied by the distances between their home at and .<br />

Let be an indicator variable encoding whether UCSE participant decided to work in city<br />

. We express via a logistic model<br />

where is the “attraction force” between UCSE participant and city . Following the formal<br />

structure of the gravitational law in Newtonian mechanics, we take the force of attraction to exhibit the<br />

following proportionalities<br />

32

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