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International Journal of
            Population Studies                                                      Gender gaps in reporting limitations




            Table 3. Estimated coefficients of respondents’ rating of vignettes’ work limitation, SHARE 2004 and 2006
                                                    2004                                  2006
                                    mu1       mu2        mu3       mu4      mu1      mu2       mu3      mu4
                                     M1        M2        M3        M4        M1       M2       M3        M4
            Women                   −0.006    0.042     0.02       0.029   0.146***  0.145***  0.123***  0.094
            Other demographics
             Ages 56 – 60           0.016     0.022     0.006     −0.030    0.055    0.005   −0.026     0.113
             Ages 61 – 65           0.041     0.027     0.015      0.051   −0.055    0.021   −0.018     0.155
             Ages 66 – 70           0.053     0.088     0.122      0.236***  −0.225  0.126    0.294     0.318
            Education
             Less than high school  −0.057*  −0.292***  −0.223***  −0.230***  0.178*  −0.112*  −0.283***  −0.294
             Some college           −0.111   −0.14***   0.000     −0.073    0.105   −0.055   −0.211***  −0.203
             College+               −0.104   −0.119***  −0.034    −0.060    0.206**  −0.03   −0.260***  −0.099
            Health
             High blood pressure    −0.036   −0.026     0.033      0.050   −0.042   −0.065   −0.04      0.134
             Diabetes               0.038    −0.009     −0.045    −0.065    0.095    0.090    0.019    −0.201
             Cancer                 −0.023   −0.02      −0.039     0.016    0.048   −0.110    0.059    −0.022
             Lung problems          −0.017    0.058     0.100      0.047   −0.105   −0.054    0.025     1.147**
             Heart problems         −0.077   −0.044     −0.064     0.046   −0.07     0.025    0.044     0.212
             Arthritis              0.015     0.078**   0.168***   0.218***  −0.05  −0.124**  −0.042    0.235
             CESD score             −0.004   −0.013*    0.005      0.012    0.016    0.002   −0.003    −0.03
             Obesity                0.080    −0.048     −0.094**  −0.142**  0.022    0.059    0.104*    0.134
             Number of ADL limitations  0.040  0.027    0.011     −0.036    0.026    0.083**  0.031     0.068
            Employment
             Currently employed     0.058     0.064     −0.074    −0.102    0.188    0.120    0.207*    0.011
             Constant               −1.598   −0.202     0.820      2.048   −1.757   −0.231     1.164    2.632
            Notes: The coefficients were obtained from a generalized ordinal regression model implemented within a hierarchical ordered probit procedure. The
            reference age group is ages 50 – 55. The reference racial group is non-Hispanic white. The reference education attainment category is high school.
            Depression scale: M1. Not at all limited ≥Mildly limited; M2. Mildly limited≥Moderately limited; M3. Moderately limited ≥Severely limited; M4.
            Severely limited ≥Cannot do any work. *p<0.1, **p<0.05, ***p<0.01.
            Abbreviations: ADL: Activity of daily living; CESD: Center for epidemiological studies depression scale; SHARE: Survey of Health, Ageing and
            Retirement in Europe.

            we found that they have slightly lowered their standards in   However, the right panel of Table 3 shows a dramatic
            rating moderate or severe work limitations but raised their   change from 2004 to 2006 among the European respondents:
            standards in classifying extreme work limitations.  Women have raised their thresholds and applied stricter
              In Table 3, quite different gender patterns were found   standards than men across almost the whole disability
            in the eight European countries. For example, men and   distribution, particularly when they rate mild, moderate,
            women in 2004 the eight European countries did not have   and severe disabilities. This might be related to the series
            any statistically significant differences in their reporting   of initiatives to accommodate disabilities in Europe
            scales for work limitations. Interestingly, European   during the period, but if it is the case, it is puzzling why
            respondents  with  lower  education  levels  (less  than  high   women react and change their disability standards more
            school) and higher education levels (at least some college)
            tend to apply lower thresholds when classifying certain   dramatically compared to men. Dutch disability reform in
            disability severities. In contrast, American respondents   2006 made the system stricter in a sense, which might also
            with similar educational attainment use higher thresholds.   modify people’s view of what constitutes disabilities (Yin
            This pattern aligns with previous findings comparing pain   and Heiland [2017] for a discussion of how policy shapes
            reporting between the Dutch and Americans.         people’s perception of work disabilities).



            Volume 11 Issue 6 (2025)                        39                        https://doi.org/10.36922/ijps.1969
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