Neighborhood Effects, Public Housing and Unemployment in France



Appendix: Building of the neighborhood typology

Factor 1

Factor 2

Eigenvalue

4.19

4.61

Percent of variance explained

41.86%

46.15%

Loadings

% families with foreign household head

0.816

-0.399

% monoparental households

0.793

-0.120

% pop. with at most lower secondary education

0.510

-0.824

% pop. with high school final diploma

-0.291

0.949

% pop. with a university degree

-0.212

0.968

% executives

-0.244

0.931

% blue-collars

0.486

-0.820

% unemployed workers

0.921

-0.308

% unemployed workers since more than one year

0.908

-0.314

% unemployed workers aged under 25

0.730

-0.437

Only factors with eigenvalues superior or equal to 1 were retained.

Table A.1: List of variables used in the principal component analysis
and their contributions to factors

Very
well-off

Well-off

Mixed

Poor

Very
poor

Total

Unemployment and tenure
% unemployed workers

8.6

8.2

11.8

16.2

29.5

12.3

% public housing units
Demography

9.0

9.5

10.3

38.9

81.1

21.3

% foreign household heads

5.5

5.9

8.5

17.4

34.3

10.9

% monoparental families

Education levels

11.7

9.7

14.3

16.6

24.6

13.6

% at most lower secondary edu.

31.8

39.1

28.9

50.5

60.8

40.1

% university degrees

34.6

20.6

42.2

13.6

7.7

24.6

Occupational status
% blue-collars

11.9

21.2

9.6

31.8

47.2

21.7

% executives

25.3

14.0

31.4

8.0

2.6

17.1

Table A.2: Mean population characteristics of the five types of neighborhoods
defined by hierarchical ascending classification method

25



More intriguing information

1. The name is absent
2. Foreword: Special Issue on Invasive Species
3. Olive Tree Farming in Jaen: Situation With the New Cap and Comparison With the Province Income Per Capita.
4. A Brief Introduction to the Guidance Theory of Representation
5. A simple enquiry on heterogeneous lending rates and lending behaviour
6. Novelty and Reinforcement Learning in the Value System of Developmental Robots
7. ISSUES IN NONMARKET VALUATION AND POLICY APPLICATION: A RETROSPECTIVE GLANCE
8. Orientation discrimination in WS 2
9. On the Integration of Digital Technologies into Mathematics Classrooms
10. ¿Por qué se privatizan servicios en los municipios (pequeños)? Evidencia empírica sobre residuos sólidos y agua.