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gambling in alberta - Research Services - University of Lethbridge

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<strong>in</strong>creased expenditures <strong>in</strong> all categories s<strong>in</strong>ce 1997. The one negative correlation concerned an<br />

<strong>in</strong>crease <strong>in</strong> <strong>gambl<strong>in</strong>g</strong> expenditure co<strong>in</strong>cident with a stable expenditure on read<strong>in</strong>g materials<br />

dur<strong>in</strong>g this time period. However, virtually all categories had a negative correlation with<br />

read<strong>in</strong>g materials, as this was the one category where average reported expenditure did not<br />

change from 1997 to 2008.<br />

In summary, from a theoretical perspective it seems unlikely that there would be significant<br />

impacts on private <strong>in</strong>dustry as a result <strong>of</strong> Alberta <strong>gambl<strong>in</strong>g</strong>. However, as a f<strong>in</strong>al check <strong>of</strong> this<br />

hypothesis, an exam<strong>in</strong>ation was made <strong>of</strong> changes <strong>in</strong> employment, overall number <strong>of</strong><br />

bus<strong>in</strong>esses, and bus<strong>in</strong>ess failures <strong>in</strong> specific regions <strong>of</strong> Alberta as a function <strong>of</strong> cas<strong>in</strong>o<br />

<strong>in</strong>troduction to that region. This approach is still somewhat problematic as even if differences<br />

are found, it is very difficult to disentangle the contribution that <strong>gambl<strong>in</strong>g</strong> has amongst the<br />

myriad <strong>of</strong> economic forces at work responsible for changes <strong>in</strong> these global economic <strong>in</strong>dices.<br />

This is especially true <strong>in</strong> situations where <strong>gambl<strong>in</strong>g</strong> constitutes a small part <strong>of</strong> overall GDP (i.e.,<br />

<strong>gambl<strong>in</strong>g</strong> represents less than 1% <strong>of</strong> GDP <strong>in</strong> Alberta). Discussion <strong>of</strong> these 3 targeted<br />

exam<strong>in</strong>ations follows.<br />

Employment<br />

Data from the Statistics Canada Labour Force Survey was used to exam<strong>in</strong>e changes <strong>in</strong> overall<br />

employment levels <strong>in</strong> selected Alberta communities as a function <strong>of</strong> cas<strong>in</strong>o <strong>in</strong>troduction. A<br />

limit<strong>in</strong>g factor <strong>in</strong> this analysis is that data from the Labour Force Survey is only available for 5<br />

Alberta cities and only goes back to 1987 for community level data. Nonetheless, it does permit<br />

a reasonable test <strong>of</strong> whether cas<strong>in</strong>os produce significant changes <strong>in</strong> overall community-level<br />

employment, as there were 15 cas<strong>in</strong>os <strong>in</strong>troduced to these communities dur<strong>in</strong>g this time<br />

period. This data is presented <strong>in</strong> Table 56, with shaded cells represent<strong>in</strong>g cas<strong>in</strong>o <strong>in</strong>troduction.<br />

There are several ways <strong>of</strong> analyz<strong>in</strong>g this data. One method used here is by exam<strong>in</strong><strong>in</strong>g the<br />

percentage <strong>in</strong>crease <strong>in</strong> employment from one year before the community received the cas<strong>in</strong>o<br />

to one year after the cas<strong>in</strong>o opened (allow<strong>in</strong>g for the fact it may take 1 year before impacts are<br />

fully manifest). To control for the fact that employment <strong>in</strong> all these communities has <strong>in</strong>creased<br />

over time, the comparison po<strong>in</strong>ts will be the percentage <strong>in</strong>crease <strong>in</strong> employment <strong>in</strong> the 2 year<br />

period immediately prior to this cas<strong>in</strong>o open<strong>in</strong>g and the 2 year period subsequent to the<br />

primary evaluation period. For example, <strong>in</strong> the case <strong>of</strong> Medic<strong>in</strong>e Hat, a comparison will be<br />

made between the employment <strong>in</strong>crease from 1995 to 1997 versus the average employment<br />

<strong>in</strong>crease <strong>in</strong> 1993 to 1995 and 1998 to 2000.<br />

The data showed slightly greater <strong>in</strong>creases <strong>in</strong> employment <strong>in</strong> the cas<strong>in</strong>o <strong>in</strong>troduction period<br />

compared to the control periods. For example, there was a 5.6% <strong>in</strong>crease <strong>in</strong> employment <strong>in</strong><br />

Edmonton subsequent to cas<strong>in</strong>o <strong>in</strong>troduction compared to a 1.8% <strong>in</strong>crease <strong>in</strong> the comparison<br />

periods; a 6.8% <strong>in</strong>crease <strong>in</strong> Calgary employment levels subsequent to cas<strong>in</strong>o <strong>in</strong>troduction<br />

compared to a 6.0% <strong>in</strong>crease <strong>in</strong> the comparison periods; an 8.0% <strong>in</strong>crease <strong>in</strong> Medic<strong>in</strong>e Hat<br />

compared to 7.4% <strong>in</strong> the comparison periods; a 9.5% <strong>in</strong>crease <strong>in</strong> Red Deer compared to a 9.5%<br />

202

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