TY - JOUR A1 - Dorélien, Audrey A1 - Xu, Hongwei T1 - Estimating rural–urban disparities in self-rated health in China: Impact of choice of urban definition Y1 - 2020/12/03 JF - Demographic Research JO - Demographic Research SN - 1435-9871 SP - 1429 EP - 1460 DO - 10.4054/DemRes.2020.43.49 VL - 43 IS - 49 UR - https://www.demographic-research.org/volumes/vol43/49/ L1 - https://www.demographic-research.org/volumes/vol43/49/43-49.pdf L2 - https://www.demographic-research.org/volumes/vol43/49/43-49.pdf L3 - https://www.demographic-research.org/volumes/vol43/49/files/43-49_Supplement%20B.%20Table%20to%20accompany%20Figure%203.xlsx L3 - https://www.demographic-research.org/volumes/vol43/49/files/43-49_Supplementary%20Material%20A%20Anchoring%20Vignettes.pdf N2 - Objective: We use the 2014 China Family Panel Studies (CFPS), which includes anchoring vignettes, to provide an up-to-date assessment of rural–urban health disparities as measured by self-rated health (SRH) in China. Our analysis is based on multiple definitions (hukou and the two different residence-based definitions) of rural–urban and migration status; previous research was inconclusive due to the use of different definitions and concerns about status-based differential health expectations (reporting heterogeneity). Results: We find a nonlinear difference between rural and urban Chinese in how they self-assess health status, regardless of the urban definition used. Urban respondents do not always hold a higher standard for self-assessment of health. Instead, their rating styles depend on the level of latent health. After controlling for the reporting heterogeneity, we find on average a slight urban advantage in SRH, but it is most pronounced when using the statistical (density dependent) definition of urban. Contribution: We study rural–urban health disparities based on three different urban definitions and migration status. Although we examine the urban definitions that are specific to China, we demonstrate a mindful approach when multiple definitions exist and caution against any simplistic approach that ignores context-specific urban definition. We also provide clear illustrations of the different types of reporting heterogeneity, as well as a way to visualize the cut-points, thresholds, and latent health estimates. ER -