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International Journal of
            Population Studies                                                      Gender gaps in reporting limitations




            Table 5. Estimated coefficients for work limitation, with and without adjustments for reporting heterogeneity, SHARE
            2004 and 2006
                                              Without reporting adjustments           With reporting adjustments
                                              2004               2006               2004               2006
            Women                           −0.157***           −0.160**          −0.149**            −0.021
            other demographics
             Ages 56–60                     −0.220***            0.128            −0.206***            0.163
             Ages 61–65                     −0.155**             0.167*           −0.114               0.137
             Ages 66–70                      0.042              −0.009             0.129              −0.065
            Education
             Less than high school           0.003              −0.261**          −0.150*             −0.254*
             Some college                   −0.099              −0.179*           −0.205**            −0.176
             College+                       −0.291***           −0.461***         −0.400***           −0.392***
            Health
             High blood pressure             0.171***            0.168**           0.154**             0.137
             Diabetes                        0.255***            0.618***          0.257***            0.699***
             Cancer                          0.773***            0.503***          0.762***            0.505**
             Lung problems                   0.517***            0.699***          0.552***            0.810***
             Heart conditions                0.771***            0.932***          0.728***            0.985***
             Arthritis                       0.790***            0.934***          0.874***            0.900***
             CESD score                      0.187***            0.256***          0.186***            0.263***
             Obesity                         0.249***            0.204**           0.255***            0.262**
             Number of ADL limitations       0.752***            0.962***          0.765***            1.037***
            Employment
             Currently employed             −0.327*             −0.087            −0.296               0.083
             Constant                       −2.380              −2.397            −2.325              −2.555
            Vignette equation
             vignette 2                     −0.320***           −0.444***         −0.324***           −0.449***
             vignette 3                      0.635***            0.531***          0.641***            0.538***
             sigma                           1.533***            1.637***          1.549***            1.664***
             mu1                            −1.651***           −1.511***              (See Table 3 for mu1−mu4)
             mu2                            −0.345***           −0.199***
             mu3                             0.793***            1.034***
             mu4                             2.024***            2.655***
             Log pseudo-likelihood           −21243            −11310              −21117             −11229
            Notes: The coefficients were obtained using a hierarchical ordered probit model. The reference age group is ages 50 – 55. The reference education
            attainment category is high school. *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.

            limitations among women may be partly due to the higher   have shown that men are more vulnerable than women to
            thresholds women use to classify health problems as work-  musculoskeletal disorders and symptoms in terms of back
            limiting.                                          pain, neck-shoulder pains under equal exposure to work-
              Several factors can help justify these findings.   related physical environment, such as twisting, awkward
            One  possible  explanation  lies  in  gender  differences  in   postures, and vibration (Hooftman et al., 2004; Hooftman
            pain perception and reporting, which have been well-  et al., 2009), which are key contributors to work disability
            documented in medical and psychological research. Studies   (Failla et al., 2024; Keogh et al., 2024).


            Volume 11 Issue 6 (2025)                        42                        https://doi.org/10.36922/ijps.1969
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