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International Journal of
            Population Studies                                                      Gender gaps in reporting limitations



            among lower-educated respondents in Europe compared   not always hold true (AU & Lorgelly, 2014; Hirve et al.,
            to the U.S. might reflect cultural distinctions in how   2013). Future research could address these limitations by
            individuals perceive and report health limitations (Bago   integrating objective health measures and qualitative data
            d’Uva et al., 2008;  King et al., 2004).           to complement vignette-based analyses.
              In addition, the temporal dynamics in Europe, where   4.2. Policy implications
            reporting thresholds evolved between 2004 and 2006,
            highlight the dynamic variability of self-reported data.   The findings have significant implications for health
            Policy changes and economic conditions likely contributed   and disability policy. First, accounting for reporting
            to this shift, emphasizing the role of external contexts in   heterogeneity is essential when designing cross-national
            shaping reporting behavior (Angelini et al., 2011). These   health surveys and interpreting self-reported data.
            findings stress the importance of accounting for response   Policymakers should consider these variations to prevent
            scale heterogeneity when interpreting trends in health   the misclassification of health disparities and ensure
            and  disability  data.  They  also  have  broader  implications   equitable resource allocation (van Soest  et al., 2020).
            for research relying on self-reported measures of work   Second, targeted interventions are needed to address
            disability, highlighting the need for caution when using   systemic inequities in health reporting, particularly among
            such measures to assess disability patterns and trends.  racial/ethnic minorities and lower-educated populations
                                                               in the U.S. Initiatives to improve health literacy and access
            4.1. Strengths and limitations                     to care within these groups may help mitigate biases in
            A key strength of this study lies in its use of vignettes   self-reported data (Assari et al., 2020). Third, the dynamic
            combined with the HOPIT model, which effectively   nature of reporting thresholds over time underscores the
            disentangles disability severity levels from reporting   importance of assessing how policy changes influence
            heterogeneity. This approach offers valuable insights into   public perceptions of disability. Policymakers should
            the subjective nature of self-reported work limitations and   design disability assessment frameworks that integrate
            provides  a  nuanced  understanding  of  how demographic   both objective health outcomes and subjective reporting
            factors influence health assessments. In particular, it allows   patterns, ensuring that policy evaluations accurately
            us to quantify the extent to which gendered-reporting   capture  their  intended  impacts  (Yin  &  Heiland,  2022).
            behaviors contribute to observed disparities.      Strengthening collaborations between researchers and
                                                               policymakers could enhance the development of inclusive
              Moreover, the integration of data from Europe and   health assessments that  account for  diverse  reporting
            from the U.S. enables comparative analyses across diverse   behaviors. Finally, our findings suggest that addressing
            contexts, enriching the study’s findings. These insights   gender disparities is not only a matter of fairness but also
            hold practical significance, especially as the global   essential for maximizing workforce potential and overall
            workforce continues to age. Women’s higher prevalence of   well-being amid demographic and economic shifts.
            chronic health conditions, coupled with their tendency to   A  more comprehensive approach to gender-sensitive
            under-report severity of limitations, presents considerable   health policies  could  foster greater economic resilience
            challenges to achieving gender equity in labor force   and social equity in the long run.
            participation – an essential goal of international sustainable
            development (United Nations, 2015).                5. Conclusion
              By employing this innovative methodology, our study   This study examines gender differences in reporting work
            not only refines existing approaches in disability research   disability using the anchoring vignette approach. We found
            but also underscores the broader implications of gender-  that  women  tend  to  report  identical  work  limitations
            specific health reporting, offering a more comprehensive   as less  severe compared to men, with this gender  gap
            foundation for evidence-based policy interventions.  persisting across most countries and time periods. When
              However,  several limitations  should  be noted. First,   accounting for reporting heterogeneity, the gender gap in
            the reliance on self-reported data introduces potential   reporting work disability becomes smaller or statistically
            biases inherent to subjective measures, even after adjusting   insignificant. These results highlight the importance of
            for reporting heterogeneity. Second, cultural factors   caution in interpreting gender disparities in self-reported
            influencing health reporting behaviors were not directly   disability measures. While differences in reporting styles
            measured, limiting the ability to fully explain cross-national   between men and women partly explain these disparities,
            differences. Third, while the HOPIT model adjusts for   further research is needed to explore the residual gender
            reporting biases, it relies on the assumption that vignettes   differences and their implications for the economic well-
            are interpreted consistently across respondents, which may   being of older adults.


            Volume 11 Issue 6 (2025)                        44                        https://doi.org/10.36922/ijps.1969
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