Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census
Abstract: Objective To assess the data quality and estimate the provincial infant mortality rate (1q0) from China’s sixth census.
Methods A log-quadratic model is applied to under-fifteen data. We analyze and compare the average relative errors (AREs) for 1q0 between the estimated and reported values using the leave-one-out cross-validation method.
Results For the sixth census, the AREs are more than 100% for almost all provinces. The estimated average 1q0 level for 31 provinces is 12.3‰for males and 10.7‰for females.
Conclusion The data for the provincial 1q0 from China’s sixth census have a serious data quality problem. The actual levels of 1q0 for each province are significantly higher than the reported values.
|HU Song Bo, WANG Fang, YU Chuan Hua. Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census[J]. Biomedical and Environmental Sciences, 2015, 28(6): 410-420. doi: 10.3967/bes2015.058