Neighborhood Effects, Public Housing and Unemployment in France



Dependent variable         Public            Deprived                 Unemployment

housing

neighborhood

Model 1

Model 2

Residential variables

Deprived neigh.

Public housing

Personal characteristics

Age                      -0.0023NS   (0.0042)

Squared age              2*10-6N S   (5*10-5)

Nationality

French nationality         Ref.

Fr. born abroad        0.0562***    (0.0140)

Foreign nation.          0.0887***    (0.0180)

Education

No diploma             0.0295**    (0.0153)

lower sec. edu.       0.0239N S    (0.0152)

Vocational training     0.0108N S    (0.0124)

High school final dip.      Ref.

University degree      -0.0213NS   (0.0132)

Occupational status

Independent w.        -0.0950***   (0.0089)

Executive              -0.0841***   (0.0100)

Intermediate prof.         Ref.

Office worker            0.0714***    (0.0714)

Blue-collar worker      0.1023***    (0.0119)

Characteristics of the spouse

Age                       -0.0118***   (0.0035)

Squared age                0.0001**    (0.00004)

Nationality

French nationality         Ref.

Fr. born abroad        0.0615***    (0.0147)

Foreign nation.          0.0522***    (0.0172)

Education

No diploma            0.1428***    (0.0187)

lower sec. edu.       0.0917***    (0.0162)

Vocational training     0.0674***    (0.0134)

High school final dip.      Ref.

University degree      -0.0443***   (0.0112)

Number of children

None                    Ref.

One                   0.0165NS    (0.0105)

Two                    0.0268**    (0.0112)

Three                  0.0592***    (0.0158)

Four of more           0.1281***    (0.0248)

Log likelihood                     -4,033

Pseudo-R2                      0.212

# Observations                  10.473

0.3189***    (0.0137)

0.0001NS   (0.0049)

-8*10-6NS   (5*10-5)

Ref.

0.0362**    (0.0171)

0.0745***    (0.0228)

0.0554***    (0.0209)

0.0281NS   (0.0197)

0.0166NS   (0.0166)

Ref.

-0.0355**    (0.0170)

-0.0579***   (0.0164)

-0.1050***   (0.0139)

Ref.

0.0338*     (0.0181)

0.0658***    (0.0146)

Ref.

0.0818***    (0.0182)

0.0674***    (0.0236)

0.1010***    (0.0208)

0.0456**    (0.0182)

0.0593***    (0.0163)

Ref.

0.0021NS    0.0154)

Ref.

0.00024NS (0.0133)

-0.0209NS   (0.0136)

-0.0091NS   (0.0176)

0.0126NS   (0.0252)

-5,527

0.153

_________10.473_________

-0.0081***    (0.0019)

9*10-5***    (2*10-5)

Ref.

0.0226***    (0.0092)

0.0610***    (0.0135)

0.0249**     (0.0110)

0.0228**     (0.0110)

0.0036NS    (0.0082)

Ref.

-0.00095NS   (0.0083)

-0.0297***    (0.0062)

-0.0197***    (0.0064)

Ref.

-0.0062NS   (0.0080)

0.0139**     (0.0071)

Ref.

0.0190**     (0.0093)

0.0233**     (0.0108)

-2,359

0.056

10.473

0.0122*     (0.0053)

0.0324***    (0.0071)

-0.0080***   (0.0019)

9*10-5***   (2*10-5)

Ref.

0.0190**    (0.0089)

0.0517***    (0.0128)

0.0203**    (0.0106)

0.0208**    (0.0107)

0.0029NS   (0.0081)

Ref.

0.0012NS   (0.0083)

-0.0270***   (0.0064)

-0.0169**    (0.0065)

Ref.

-0.0098NS   (0.0075)

0.0062NS   (0.0068)

Ref.

0.0139*     (0.0088)

0.0176*     (0.0102)

-2,338
0.064
10.473

Notes: ***, ** and * denote significance at the 1%, 5% and 10% level respectively. Each equation also includes a constant.
Marginal effect are (a) for the age variables:
βΦ(βX) with Φ() the normal cumulative distribution function and β the
vector of estimated coefficients and (b) for each dummy explanatory variable
Xk: Φ(βX-k + βk) - Φ(β X-k) with X-k
the vector of explanatory variables except Xk . X is taken at the sample mean.

Figures in brackets give standard errors of the marginal effects calculated by the delta method.

Table 4: Marginal effects from the three simple probits

29



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