Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4195918 | Biomedical and Environmental Sciences | 2015 | 11 Pages |
Abstract
ObjectiveTo assess the data quality and estimate the provincial infant mortality rate (1q0) from China's sixth census.MethodsA 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.ResultsFor 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.ConclusionThe 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.
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