Rindfuss R R, Bumpass L L, Palmore J A
Demography. 1987 Feb;24(1):113-22.
The straightforward tests we have conducted lead to two major conclusions. First, parameter estimates, such as the proportions that practice contraception or that breastfeed, can be biased in data restricted to the last closed and open interval. This is particularly true the further back in time one goes. However, the second conclusion is that these restrictions do not bias estimates of the structure of the relationships predicting fertility. This may seem surprising, and perhaps even magical. The reason is that multivariate life table techniques allow one to reach the same conclusion even if the proportions in various categories are altered by a criterion such as limiting the analysis to intervals begun by the last and next-to-last live births. Limiting the analysis in this way means that there are fewer short intervals and thus fewer cases of intervals with characteristics associated with short intervals (e.g., no contraceptive use, no breastfeeding, or infant mortality). As long as the model specified in the multivariate life table is an appropriate one, that is, it is not misspecified, and as long as the skew produced by the WFS restriction is not too extreme, then the multivariate life table procedures can produce unbiased estimates of the structure of the relationships predicting birth interval dynamics. Thus even though the WFS data are in fact inappropriate for some simple parameter estimation procedures, they appear to be adequate for the more complex multivariate procedures of the sort used here. Several caveats must be added to the foregoing results. First, we have performed this test in only one country, Korea; it is possible that the same results might not be obtained in other countries. We expect, however, that they would. Second, our procedure only looks at the first 40 months of experience in the birth interval. A procedure that incorporates the long tails of the birth interval distribution may obtain different results. In fact, we caution against analyzing the tail of the distributions using data from the normal WFS sample, since these would be most affected by the restriction to last closed and open intervals. Third, the extent to which these results are generalizable to other types of substantive problems is unknown at present. We suspect, however, that examining the determinants of lengths of breastfeeding will produce similar results. Finally, even with multivariate procedures, it would be highly misleading to impose the WFS restrictions and then examine trends in the length of birth intervals.(ABSTRACT TRUNCATED AT 400 WORDS)
我们所进行的直接测试得出了两个主要结论。首先,诸如采取避孕措施或进行母乳喂养的比例等参数估计,在仅限于最后一个封闭和开放区间的数据中可能存在偏差。时间回溯得越久远,这种情况就越明显。然而,第二个结论是,这些限制并不会使预测生育能力的关系结构的估计产生偏差。这可能看起来令人惊讶,甚至有些神奇。原因是多元生命表技术使人们即使在通过诸如将分析限制在由最后一次和倒数第二次活产开始的区间等标准改变各类别比例的情况下,也能得出相同的结论。以这种方式限制分析意味着短区间更少,因此具有与短区间相关特征(例如未采取避孕措施、未进行母乳喂养或婴儿死亡率)的区间情况也更少。只要多元生命表中指定的模型是合适的,即没有错误设定,并且只要妇女和家庭调查(WFS)限制所产生的偏差不太极端,那么多元生命表程序就能对预测生育间隔动态的关系结构产生无偏差估计。因此,尽管妇女和家庭调查数据实际上不适用于某些简单的参数估计程序,但它们似乎足以用于此处所使用的更复杂的多元程序。必须对上述结果补充几个注意事项。首先,我们仅在一个国家——韩国进行了此项测试;在其他国家可能无法得到相同的结果。不过,我们预计会得到相同结果。其次,我们的程序仅查看生育间隔最初40个月的情况。纳入生育间隔分布长尾部分的程序可能会得到不同结果。实际上,我们提醒不要使用正常妇女和家庭调查样本的数据来分析分布的尾部,因为这些数据受限于最后一个封闭和开放区间的影响最大。第三,目前尚不清楚这些结果在多大程度上可推广到其他类型的实质性问题。不过,我们怀疑研究母乳喂养时长的决定因素会产生类似结果。最后,即使采用多元程序,施加妇女和家庭调查限制然后检查生育间隔长度的趋势也会极具误导性。(摘要截断于400字)