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Activity Number:
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164
- Social Statistics Speed Session
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Type:
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Contributed
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Date/Time:
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Tuesday, August 10, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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Social Statistics Section
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Abstract #318937
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Title:
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A Spatio-Temporal Analysis of College Crime in the USA
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Author(s):
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Fatih Gezer* and Xiaoke Zhang
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Companies:
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University of Leeds and George Washington University
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Keywords:
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Markov Chain Monte Carlo;
Bayesian Hierarchical Modeling;
Spatio-temporal modelling ;
Clery Act;
Uniform Crime Reporting
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Abstract:
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College crime is one of the most alarming social problems in the USA. To investigate important factors that are associated with college crime, we collect spatio-temporal datasets for both states of California and Texas from publicly accessible sources. In addition to an exploratory data analysis, a temporal autoregressive modeling procedure is applied in the statistical analysis for each state. Stepwise procedures are used to select the best set of predictors, with the validity of spatial stationarity taken into account. The final models for California and Texas both show a strong autoregressive effect on the college crime rate. They also demonstrate substantially different sets of most predictive factors between the two states.
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Authors who are presenting talks have a * after their name.
