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. A Pure Test for the Elasticity of Yield Spreads2. Keynesian Dynamics and the Wage-Price Spiral:Estimating a Baseline Disequilibrium Approach
3. Evaluation of the Development Potential of Russian Cities
4. Konjunkturprognostiker unter Panik: Kommentar
5. On the Existence of the Moments of the Asymptotic Trace Statistic
6. THE ANDEAN PRICE BAND SYSTEM: EFFECTS ON PRICES, PROTECTION AND PRODUCER WELFARE
7. O funcionalismo de Sellars: uma pesquisa histδrica
8. DISCUSSION: POLICY CONSIDERATIONS OF EMERGING INFORMATION TECHNOLOGIES
9. National curriculum assessment: how to make it better
10. 101 Proposals to reform the Stability and Growth Pact. Why so many? A Survey