Versión de HTML Básico
Juan Carlos García y Patricia Cortez
Analíti a
k
4
Revista de Análisis Estadístico
Journal of Statistical Analysis
Azuay
Bolívar
Cañar
Carchi
Cotopaxi
Chimborazo
El Oro Esmeraldas
Guayas
Imbabura
Loja
Constante
β
0
.866
.454
1.015
.890
1.406
1.450
.976
.324
.899
.930
.250
E.T.
.015
.032
.024
.030
.022
.021
.018
.018
.008
.024
.019
Wald
3421.906
205.745
1757.017
856.631
4003.637
4551.659
2924.373
316.964
14137.114
1560.858
180.595
Sig.
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
Edad1
β
1
-2.707
-1.834
-1.958
-2.665
-2.449
-2.848
-2.445
-3.210
-3.062
-1.901
-1.860
E.T.
.014
.032
.023
.037
.021
.021
.018
.029
.008
.019
.019
Wald 34857.740
3295.893
7200.488
5167.123
13664.934
19114.029
18024.893
12427.833
142538.279
9941.794
10088.169
Sig.
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
Edad3
β
3
.213
.048
.070
.044
.109
-.130
.231
.484
-.310
.040
.490
E.T.
.012
.026
.021
.024
.017
.017
.013
.017
.005
.016
.015
Wald
321.699
3.495
10.869
3.197
39.901
59.138
334.164
830.999
3504.712
6.100
1066.139
Sig.
.000
.062
.001
.074
.000
.000
.000
.000
.000
.014
.000
Educación
β
4
.282
.626
.171
.422
.341
-.075
.989
1.581
.976
.527
.325
E.T.
.011
.026
.024
.027
.019
.017
.013
.017
.005
.016
.013
Wald
639.599
587.885
50.259
239.573
318.368
19.289
6084.762
9150.882
37393.757
1034.002
591.411
Sig.
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
Casada
β
5
-.433
-.091
-.506
-.438
-.413
.082
-.585
-.885
-.563
.163
-.220
E.T.
.011
.023
.019
.021
.015
.015
.012
.015
.005
.015
.013
Wald
1633.048
15.649
736.486
419.214
728.838
29.065
2524.157
3592.682
14697.130
125.447
273.432
Sig.
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
Niños
β
6
-.054
-.013
-.080
.011
.168
.110
.123
.184
-.027
.421
.382
E.T.
.011
.025
.019
.023
.016
.016
.012
.015
.005
.015
.014
Wald
23.143
.300
17.156
.230
105.750
49.897
106.831
150.122
30.385
807.419
799.373
Sig.
.000
.584
.000
.631
.000
.000
.000
.000
.000
.000
.000
Ingresos
β
7
-.088
-.207
-.251
-.770
-.537
-.660
-.911
-.744
-.460
-.884
-.386
E.T.
.014
.030
.023
.030
.021
.021
.018
.018
.007
.023
.017
Wald
37.107
48.268
122.104
661.244
657.860
1022.557
2702.088
1785.767
3977.599
1428.987
495.473
Sig.
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
Tabla 2.
Resultados de las estimaciones obtenidas en SPSS para el modelo de regresión logística. Fuente: ENEMDU 1990 - 2011. Elaboración:
Autores.
38
Analítika,
Revista de análisis estadístico
, 2 (2012), Vol. 4(2): 27-53