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Table 4 Baseline estimates of stealing counts-Google Trends search interest elasticities—2014–2019

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

 

Log (Stealing counts) β

  
 

(1)

(2)

(3)

Log (Google trends)

0.842***

0.886**

0.698***

 

(0.082)

(0.279)

(0.167)

Lagged dependent variable

  

0.277***

   

(0.076)

Console fixed effects

Yes

Yes

Yes

Time fixed effects

No

Yes

Yes

Number of consoles

8

8

8

Number of observations

576

576

576

  1. *** p < 0.001 ** p < 0.01. Standard errors clustered by console code in parentheses. Β coefficients can be interpreted as a 1% change in the independent variable being associated with a Β% change in stealing counts. For example, in specification (1), a 1% change in Google trends values was associated with a 0.84% change in stealing counts
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Crime Science

ISSN: 2193-7680

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