Popul Stud (Camb). 1973 Nov;27(3):479-92. doi: 10.1080/00324728.1973.10405495.
Abstract Annual variations are often more brutal for nuptiality than they are for other demographic phenomena. Short-term economic movements, in particular, seem to have a more direct impact. Fig. 1 clearly illustrates this point for Australia during the thirties. Nuptiality rates dip more sharply and recuperation is more pronounced: not only do they follow the employment trend, they amplify it. 1 For nuptiality and fertility, the two indicators we chose are probably the most responsive to short-term movements. They result respectively, from the addition of age-specific first-marriage rates (number of first marriages at age x/total population age x) for ages 15 to 50, and from the combination of parity progression ratios which gives the average number of births per marriage, (a (0)+a (0) a (1)+a (0) a (1) a (2)+ ..., where a (1) is the ratio ofwomen who have a child of order i+1 per 1,000 mothers of children of order i). For each year these were divided by the corresponding cohort index, i.e. the proportion ever-married, and the mean number of ever-born children per marriage. The cohort used for a given year is that which reaches its mean age at first marriage in that year or its mean duration at birth of the children. Nine months are subtracted from the fertility measure to give time of conception. The economic indicator is a measure obtained by dividing the number of jobs by the population aged 15 to 64. All indices are calculated using the 1926-1927 figures as base 100.
摘要 与其他人口现象相比,婚姻率的年度变化往往更为剧烈。短期经济波动似乎尤其具有直接影响。图 1 清楚地说明了 30 年代澳大利亚的情况。结婚率下降得更陡峭,恢复得更明显:它们不仅跟随就业趋势,而且还放大了这种趋势。1 对于婚姻率和生育率这两个我们选择的指标来说,它们可能是对短期波动最敏感的指标。它们分别来自特定年龄首次结婚率(15 至 50 岁的年龄特定初婚率(x 岁的初婚人数/总人口 x 岁)的加总,以及生育递进比的组合,生育递进比给出了每对婚姻的平均生育数(a (0)+a (0) a (1)+a (0) a (1) a (2)+...,其中 a (1) 是每 1000 名有 i+1 岁子女的母亲中生育 i 岁子女的比例)。对于每一年,这些都除以相应的队列指数,即已婚比例和每对婚姻的平均生育子女数。给定年份使用的队列是在该年达到首次结婚平均年龄或其子女出生平均持续时间的队列。生育指标减去九个月以给出受孕时间。经济指标是通过将就业人数除以 15 至 64 岁的人口数得到的。所有指数都使用 1926-1927 年的数据作为基数 100 计算。