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 |
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
More intriguing information
1. The name is absent2. The name is absent
3. A Critical Examination of the Beliefs about Learning a Foreign Language at Primary School
4. The name is absent
5. Managing Human Resources in Higher Education: The Implications of a Diversifying Workforce
6. Innovation in commercialization of pelagic fish: the example of "Srdela Snack" Franchise
7. Computational Experiments with the Fuzzy Love and Romance
8. Expectation Formation and Endogenous Fluctuations in Aggregate Demand
9. Unilateral Actions the Case of International Environmental Problems
10. The name is absent