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Application of the econometric tool in criminology

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Application of the econometric tool in criminology Lorraine TOURNYOL DU CLOS Economist, Paris tournyol2_at_aol.com 3 good reasons 3 good reasons Confirming the existence ... – PowerPoint PPT presentation

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Title: Application of the econometric tool in criminology


1
Application of the econometric tool in criminology
Lorraine TOURNYOL DU CLOS Economist,
Paris tournyol2_at_aol.com
2
3 good reasons
3
3 good reasons
  • Confirming the existence of a link supposed by a
    qualitative or an empirical approach

4
3 good reasons
  • Confirming the existence of a link supposed by a
    qualitative or an empirical approach
  • Mesuring the impact of these links

5
3 good reasons
  • Confirming the existence of a link supposed by a
    qualitative or an empirical approach
  • Mesuring the impact of these links
  • Anticipating the evolution and in controlling the
    phenomenon

6
3 fundamentals
  • A theory (economical or empirical)
  • Mathematics
  • Data

7
I- Theory
8
I- Theory
  • What do you want to know? (goals)

9
I- Theory
  • What do you want to know? (goals)
  • Police on the streets ? Crime?
  • Police on the streets ? Crime?
  • Police on the streets ? Crime! !

10
I- Theory
  • What do you want to know? (goals)
  • What do we already know? (studies)

11
I- Theory
  • What do you want to know? (goals)
  • What do we already know? (studies)
  • How can we know? (available data)

12
I- Theory
  • What do you want to know? (goals)
  • What do we already know? (studies)
  • How can we know? (available data)
  • Cross-sectional data

13
I- Theory
  • What do you want to know? (goals)
  • What do we already know? (studies)
  • How can we know? (available data)
  • Cross-sectional data
  • Time series data

14
I- Theory
  • What do you want to know? (goals)
  • What do we already know? (studies)
  • How can we know? (available data)
  • Cross-sectional data
  • Time series data
  • Pooled cross-sections

15
I- Theory
  • What do you want to know? (goals)
  • What do we already know? (studies)
  • How can we know? (available data)
  • Cross-sectional data
  • Time series data
  • Pooled cross-sections
  • Panel data

16
II- Econometrical Study
  • An example with French juvenile
  • delinquency

17
II- Econometrical Study
  • Specification

18
II- Econometrical Study
  • Specification
  • Available data

19
II- Econometrical Study
  • Specification
  • Available data
  • Qualitative hypothesis

20
II- Econometrical Study
  • Specification
  • Available data
  • Qualitative hypothesis
  • Mathematical hypothesis

21
II- Econometrical Study
  • Specification

22
II- Econometrical Study
  • Specification
  • Some results

23
II- Econometrical Study
  • Specification
  • Some results

24
II- Econometrical Study
  • Specification
  • Some results
  • Interpretation

25
II- Econometrical Study
  • Specification
  • Some results
  • Interpretation
  • What are the significant results?

26
II- Econometrical Study
  • Specification
  • Some results
  • Interpretation
  • What are the significant results?
  • What have we really shown?

27
II- Econometrical Study
  • Specification
  • Some results
  • Interpretation
  • What are the significant results?
  • What have we really shown?
  • How to confirm?

28
A cross-sectionnal data set back
OBSNO City Pop Police Violence Educ immig Famsize
1 Paris
2 Marseille
3 Lyon
4 Toulouse
5 Bordeaux


450 Strasbourg
29
Time series data sets back
OBSNO year month Police Violence trend unemply tourism
1 1996 Jan 1
2 1996 Feb 1
3 1996 Mar 1
4 1996 Apr 1
5 1996 Jun 1

119 2005 Nov 5
120 2005 Dec 5
30
Pooled Cross-sections back
OBSNO year nviolence famnum Famstruc foreign group scolfail
1 2001 4 5 1 1 1 3
2 2001 0 3 2 0 1 2
3 2001 3 1 1 1 1 0

200 2001
201 2003
203 2003

401 2003
31
Panel Data sets back
OBS CITY year violence police famnum Fam_monop rforeign rscolfail
1 Paris 1995
2 Paris 1996
3 Paris 1997
4 Paris 1998
5 Paris 1999
6 Marseille 1995
7 Marseille 1996
8 Marseille 1997

1109 Strasbourg 1998
1110 Strasbourg 1999
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