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IPS129 Claudia V. et al.
- the second linked to the social behavior of individuals (it goes out
every night for example);
- the third related to the degradation of the area in which one lives. The
dimension of the defense strategy (individual and family) is also added
to this analysis.
Alongside this methodology of analysis, a regression was conducted in
parallel to understand which are the variables that influence the cost and
therefore the economic losses related to the crime suffered in individual
crimes (such as theft and theft of cars). to verify the damage actually suffered
by the offenses considered.
A first descriptive analysis has been done on Italian Victimization data for
the waves 2002, 2008-09 and 2015. The statistical model used is the Factorial
Dynamic Analysis (first model, Corazziari et al. 2019), to obtain a picture over
time of the complex phenomena of safety perception (intangible cost) related
to subjective factors (individual vulnerability) and objective ones (cognitive
fear of being victim of specific crimes, living in area social decayed, at risk of
crime). The model combine regression and factorial tools to describe both the
multidimensional characteristic of safety perception and its evolution over
time.
Indicators from the data are: feeling unsafe at home or outside in the
evening; bringing some object or locking the car for self-defense if outside
alone; avoiding some streets or even to go out in evening due to fear of crime;
influence of fear on self-behavior; worry about being victim of specific crimes
as vehicle theft, burglary, bag-snatching, sexual harassment or rape, residence
area perception in term of criminality, social decay (7 indicators); police ability
to control and protect the residence area (if they pass at least one time a
week, if people have been stopped for a control in the last 12 months). Other
indicators regarding house defense strategies and systems have been
discussed in the analysis
As regards the economic loss of victimized people for the tangible costs,
a multiple regression analysis has been applied considering the reported loss
of victims for two individual property crime; bag-snatching and robbery as
response variables. As covariates and expletive variables have been considered
some demographic variables about the victim (sex, age, residence Italian
region and type of municipality), and variables about the place of the event,
when it happens (at which hour in classes), and what has been stolen.

3. Result
Considering the analysis if intangible losses with FDA, in the observed
period unsafe people when outside in the evening decreased over time, so as
people using some individual strategy of defense; while unsafe people at

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