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Análisis de la participación laboral de la mujer en el mercado ecuatoriano
Analíti a
k
4
Revista de Análisis Estadístico
Journal of Statistical Analysis
Los Ríos
Manabí Morona Santiago
Napo Pastaza Pichincha Tungurahua Zamora Chinchipe Sucumbíos Orellana
Constante
β
0
.603
.015
.338
-.251
1.118
1.039
1.819
1.894
1.028
.819
E.T.
.015
.011
.042
.053
.053
.008
.025
.061
.052
.062
Wald 1542.240
1.830
65.773
22.830 443.723 18944.108
5410.954
976.490
1516.655 174.468
Sig.
.000
.176
.000
.000
.000
.000
.000
.000
.000
.000
Edad1
β
1
-2.927
-2.435
-1.441
-1.390
-2.728
-3.045
-2.321
-3.511
-3.311
-2.855
E.T.
.021
.014
.032
.047
.054
.009
.016
.056
.042
.053
Wald 19744.183 30219.953
1975.212 859.803 2558.179 121435.088
19875.198
3910.181
6156.571 2864.176
Sig.
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
Edad3
β
3
-.113
.354
.841
.794
-.149
.020
.118
-.091
.092
2.084
E.T.
.012
.009
.041
.038
.045
.006
.015
.036
.033
.042
Wald
88.577 1570.039
415.780 446.907
10.949
12.319
60.956
6.353
7.864 2445.139
Sig.
.000
.000
.000
.000
.001
.000
.000
.012
.005
.000
Educación
β
4
1.082
1.134
1.362
1.327
.750
.008
-.192
1.424
1.586
1.958
E.T.
.012
.009
.048
.038
.042
.005
.014
.043
.037
.064
Wald 7675.471 16659.000
800.636 1230.686 313.234
2.318
177.053
1089.226
1811.166 934.012
Sig.
.000
.000
.000
.000
.000
.128
.000
.000
.000
.000
Casada
β
5
-.608
-.625
.891
-.612
-.171
-.629
.145
-.672
-1.436
-1.080
E.T.
.011
.008
.034
.035
.036
.005
.013
.034
.027
.043
Wald 3173.445 6112.531
690.020 307.607
22.243 13902.514
119.440
393.984
2765.547 624.844
Sig.
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
Niños
β
6
-.247
.326
.062
.363
-.292
.250
.073
-.361
-.140
-.367
E.T.
.011
.008
.034
.035
.040
.005
.014
.035
.029
.038
Wald 463.033 1512.211
3.431 106.688
53.225
2187.700
28.327
106.279
23.949
91.601
Sig.
.000
.000
.064
.000
.000
.000
.000
.000
.000
.000
Ingresos
β
7
-.947
-.565
-.407
-.285
-.730
-.547
-.894
-1.438
-1.623
-1.067
E.T.
.015
.011
.042
.050
.047
.007
.024
.056
.051
.065
Wald 4074.485 2610.192
92.341
32.750 244.972
5755.625
1420.990
654.079
1015.918 273.870
Sig.
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
Tabla 3.
Resultados de las estimaciones obtenidas en SPSS para el modelo de regresión logística. Fuente: ENEMDU 1990 - 2011. Elaboración: Autores.
Analítika,
Revista de análisis estadístico
, 2 (2012), Vol. 4(2): 27-53
39