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Table 7 Cross-sectional estimates of stealing counts-market force relationships between consoles in 2016, 2017, 2018, and 2019

From: Explaining offenders’ longitudinal product-specific target selection through changes in disposability, availability, and value: an open-source intelligence web-scraping approach

 

Stealing counts β

2016

2016

2017

2017

2018

2018

2019

2019

Google trends

3.430*

 

5.134**

 

5.277**

 

5.705***

 
 

(1.326)

 

(1.221)

 

(0.902)

 

(0.696)

 

Mean price

 

0.985

 

1.798*

 

1.722*

 

1.925**

  

(0.424)

 

(0.544)

 

(0.450)

 

(0.424)

FA sales

 − 0.253

 − 0.388

0.523

0.653

0.668

1.003

0.277

1.070

 

(1.029)

(1.077)

(1.021)

(1.224)

(0.785)

(1.098)

(0.505)

(0.795)

  1. *** p < 0.001 ** p < 0.01 * p < 0.05. Standard errors clustered by console code in parentheses. FA = faulty adjusted cumulative lifetime sales. The variance inflation factor (vif)—a measure of multicollinearity between model variables—was calculated for all model variables and values ranged between 1.01 and 1.25, where a vif above 10 indicates high correlation and is a cause of concern). Google trends and mean price variables were tested in separate models due to multicollinearity
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Crime Science

ISSN: 2193-7680

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