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This paper tests for excessive employment agglomeration among twenty southern California manufacturing industry clusters using two methods claiming to control for the natural and planned geography constraining industrial location generally. We find broad consistency across the alternative tests; although fewer industry clusters test statistically significant for agglomeration or dispersion using the weighted kernel density estimator than when we use the more established weighted case-control approach. Similarly, the observed values for the former statistic test significant over a subset of the spatial scales over which the case-control method tests significant.
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Funderburg et al. (2013) studied this question.
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