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Table 4 Estimates for binary probit models

From: Health inequalities by socioeconomic characteristics in Spain: the economic crisis effect

Attribute Category(1) 2006–07(2, 3) 2011–12(2, 3)
Independent term   0.2049 (0.2019, 0.2079) 0.3117 (0.3085, 0.3148)
Education level No education or primary school −0.5096 (−0.5111, −0.5082) −0.6310 (−0.6327, −0.6293)
  Secondary studies −0.2605 (−0.2619, −0.2591) −0.3294 (−0.3309, −0.3280)
Interviewee’s professional status Unemployed −0.1596 (−0.1614, −0.1578) −0.1586 (−0.1602, −0.1571)
  Retired −0.3716 (−0.3735, −0.3697) −0.2863 (−0.2884, −0.2842)
  Student 0.3859 (0.3833, 0.3885) 0.2733 (0.2707, 0.2759)
  Others −0.1463 (−0.1479, −0.1448) −0.4020 (−0.4036, −0.4003)
Reference person professional status No employee −0.1696 (−0.1709, −0.1683) −0.1298 (−0.1310, −0.1285)
Gender Man 0.2892 (0.2882, 0.2902) 0.1786 (0.1776, 0.1795)
Age 16–34 years old 0.6568 (0.6544, 0.6593) 1.0301 (1.0275, 1.0327)
  35–49 years old 0.4109 (0.4086, 0.4131) 0.6348 (0.6325, 0.6372)
  50–64 years old 0.1264 (0.1244, 0.1284) 0.3887 (0.3866, 0.3909)
  65–74 years old 0.2056 (0.2037, 0.2075) 0.4023 (0.4004, 0.4041)
Nationality Spanish 0.1800 (0.1785, 0.1814) 0.0728 (0.0714, 0.0743)
Marital status Single and not living with a partner 0.1301 (0.1282, 0.1320) 0.1167 (0.1148, 0.1185)
  Married or single and living with a partner 0.0529 (0.0515, 0.0544) 0.1326 (0.1311, 0.1340)
Goodness of fit measures(4) Log likelihood ratio (15) 6330520.28 7112977.38
  McFadden’s R2 0.134 0.156
  Cragg & Uhler’s (Nagelkerke) R2 1 1
  McKelvey and Zavoina’s R2 0.998 0.999
  AIC 1392.81 1853.36
  BIC 4.05E + 07 3.84E + 07
  1. (1)The reference category for each attribute is not shown
  2. (2)The extremes of corresponding 95 % confidence intervals are indicated in parentheses
  3. (3)All parameters are statistically significant at the 0.01 level
  4. (4)All of these measures are obtained from Stata 13 (see Long and Freese, 2008:109–113)