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The Price of Illicit Drugs: 1981 through the - The White House

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<strong>The</strong> approach used to obtain <strong>the</strong> South West Border price series was a variant <strong>of</strong> <strong>the</strong> method used<br />

to obtain <strong>the</strong> national price series (section 1-3). A direct application <strong>of</strong> <strong>the</strong> method failed to<br />

identify important outliers because <strong>of</strong> <strong>the</strong> sparseness <strong>of</strong> <strong>the</strong> data. For example, if a particular<br />

month had only a single transaction, <strong>the</strong>n <strong>the</strong> model would necessarily fit perfectly, and <strong>the</strong><br />

corresponding residual would be <strong>the</strong>refore be zero (<strong>the</strong> single observation being completely<br />

accommodated by its own parameter). Alternatively, if <strong>the</strong>re were only two transactions in a<br />

month, <strong>the</strong>n <strong>the</strong> model would be equidistant from both observations, and <strong>the</strong> magnitude (absolute<br />

value) <strong>of</strong> <strong>the</strong> two residuals would be identical, regardless <strong>of</strong> <strong>the</strong> position <strong>of</strong> <strong>the</strong> two observations.<br />

Clearly some degree <strong>of</strong> smoothing is required here. Our approach was to use a high degree<br />

polynomial model for outlier detection, and <strong>the</strong>n fit <strong>the</strong> resulting “clean” data by (a monthly<br />

version <strong>of</strong>) <strong>the</strong> dummy variable model <strong>of</strong> section 3. This approach could be applied to o<strong>the</strong>r<br />

regional price series, and hopefully future editions <strong>of</strong> <strong>the</strong> report will contain <strong>the</strong>se series.<br />

Figure A6. Monthly Retail and Wholesale Cocaine <strong>Price</strong>s: South West Border<br />

A-20

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