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The Effects of Sanction Intensity on Criminal Conduct - JDAI Helpdesk

The Effects of Sanction Intensity on Criminal Conduct - JDAI Helpdesk

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It assumes that if <str<strong>on</strong>g>of</str<strong>on</strong>g>fenders c<strong>on</strong>sider a particular crime type to be serious, they will <strong>on</strong>ly<br />

be drawn to it as their <str<strong>on</strong>g>of</str<strong>on</strong>g>fending career escalates. Thus, the sequencing <str<strong>on</strong>g>of</str<strong>on</strong>g> crime types<br />

over the life course provides insight into which <str<strong>on</strong>g>of</str<strong>on</strong>g>fenses <str<strong>on</strong>g>of</str<strong>on</strong>g>fenders perceive as more or<br />

less serious. We do not examine this approach in our paper because we lack full lifetime<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g>fending data for our sample, so the utility <str<strong>on</strong>g>of</str<strong>on</strong>g> the developmental focus is limited. <str<strong>on</strong>g>The</str<strong>on</strong>g><br />

quality <str<strong>on</strong>g>of</str<strong>on</strong>g> the data do not justify the complexity <str<strong>on</strong>g>of</str<strong>on</strong>g> the methods.<br />

Our operati<strong>on</strong>alizati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> substantive severity is straightforward. We simply<br />

classify each charge as a serious or n<strong>on</strong>-serious <str<strong>on</strong>g>of</str<strong>on</strong>g>fense according to the definiti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

severity used in the predicti<strong>on</strong> model (see above). We also compare this definiti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

severity with the standard UCR distincti<strong>on</strong> between serious and less serious <str<strong>on</strong>g>of</str<strong>on</strong>g>fending,<br />

which includes more <str<strong>on</strong>g>of</str<strong>on</strong>g>fenses than the Philadelphia model’s distincti<strong>on</strong>.<br />

We propose a simpler method for analyzing ec<strong>on</strong>omic severity.<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> more<br />

complex cost models may not be well suited to our data. Because our sample has already<br />

been deemed low-risk, in part because <str<strong>on</strong>g>of</str<strong>on</strong>g> their n<strong>on</strong>-serious <str<strong>on</strong>g>of</str<strong>on</strong>g>fending backgrounds,<br />

serious <str<strong>on</strong>g>of</str<strong>on</strong>g>fenses will be rare events.<br />

Thus, it makes sense to simply dichotomize<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g>fending history and outcomes into serious/n<strong>on</strong>-serious rather than attempting to create<br />

more detailed categories. However, an ec<strong>on</strong>omic severity rating is more difficult to<br />

dichotomize, bey<strong>on</strong>d the rudimentary approach <str<strong>on</strong>g>of</str<strong>on</strong>g> assigning an arbitrary dollar value as a<br />

threshold between serious and n<strong>on</strong>-serious <str<strong>on</strong>g>of</str<strong>on</strong>g>fending. <str<strong>on</strong>g>The</str<strong>on</strong>g> studies that do provide U.S.<br />

dollar estimates for crime types (e.g., Cohen, 1988; Miller, Cohen, & Wiersema, 1996)<br />

provide various formulas for assigning costs, and largely focus <strong>on</strong> the most serious<br />

crimes, so it is difficult to obtain estimates for the lower-level <str<strong>on</strong>g>of</str<strong>on</strong>g>fenses that are more<br />

prevalent in our sample. For example, cost estimates set out in Cohen (2000) c<strong>on</strong>tain no<br />

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