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Danan Gu, Runlong Huang, Kirill Andreev,  et al.


























































       Figure 1. Logit-transformed probabilities of dying at ages 60-70 by ages 70-95 and at ages 70-80 by ages 80-95 in the Chinese censuses by sex and
       province in comparison with those in 13 HMD countries

                                The lower panel of Figure 1 presents comparisons for the logit-transformed   15 80  10 70
                                                                                                  q   against
                                                                                                               q .
                             Compared with the upper panel, more provinces in China fell below the lower boundary of the el-
                             lipse,  although  the  underestimation  of mortality was relative smaller due  to their relatively large
                             value of probability of dying. The upper and lower panels also indicate that the underestimation of
                             mortality after age 70 or 80 had worsened in the 2010 census relative to the 2000 census.
                                                                                                               q
                                                                                                      q   and
                                From  Figure 1, some possible linear associations exist between  the first  pair   10 60  25 70
                                                           q   for all 13 HMD countries. We obtained the following four
                                                 q   and
                             and the second pair   10 70  15 80
                                                                                                           2
                             linear regression models:  logit( q ˆ ) = 3.104212 + 1.830234* logit( q  )   for males (R = 0.86),
                                                                                         10 60
                                                         25 70
                                                                                    2
                              logit( q ˆ ) = 3.400152+1.927309* logit( q  )   for females (R =0.88),  logit( q ˆ )   = 1.686355+
                                   25 70
                                                                                                 15 80
                                                                 10 60
                                                            2
                             1.393994* logit( q  ) for males (R =0.87), logit( q ˆ )   = 1.758806 +  1.362084* logit( q  )   for
                                                                        15 80
                                                                                                         10 70
                                           10 70
                                     International Journal of Population Studies | 2016, Volume 2, Issue 2       7
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