軍公教從業身份對生育決策的影響

• Main Authors: 李聖水, Lee, Sheng Shui
• Language: 中文
• Published: 國立政治大學
• Subjects: 從業身分; 軍公教人員; 生育決策; 生育子女數; 生育間隔; Civil servants; Employment; Reproductive decision; Number of children; Birth interval
• Online Access: http://thesis.lib.nccu.edu.tw/cgi-bin/cdrfb3/gsweb.cgi?o=dstdcdr&i=sid=%22G0099258002%22.

本文使用行政院主計處發布的民國99年度「臺灣地區婦女婚育與就業調查」，研究完成生育的樣本其軍公教從業身分對於生育決策的影響，探討生育的四個面向，包括有無生育子女、生育子女數、結婚至生第一胎的間隔和第一胎至第二胎的生育間隔，其中有無生育子女、結婚至生第一胎的間隔和第一胎至第二胎的生育間隔在實證分析上採用二元邏輯斯特迴歸模型(Binary Logistic Model)，生育子女數則是採用順序邏輯斯特迴歸模型(Ordered Logistic Model)與卜瓦松迴歸模型(Poisson Regression Model)分析。迴歸結果顯示（1）配偶的從業身分為軍公教人員，相較於其他從業身分，有子女的機率較高，（2）婦女的從業身分為軍公教人員，相較於其他從業身分，生育子女數會較多，（3）配偶的從業身分為軍公教人員，相較於其他從業身分，第一胎至生第二胎的間隔會較短，而從業身分為軍公教人員的結婚至生第一胎之間隔會較短，則未從實證上獲得驗證。 === Using the data “Survey of Women's Marriage, Fertility and Employment of 2010 in Taiwan” conducted by DGBAS in this context, we want to realize how the women or their spouses who are civil servants will make their reproductive decisions. Moreover, we are concerned about whether they have children or not, their number of children, their intervals between the marriage and the first birth, and their intervals between the first birth and the second birth. In order to know whether they have children or not, their intervals between the marriage and the first birth, and their intervals between the first birth and the second birth, applying Binary logistic model to analysis them. Furthermore, we also apply Ordered logistic model and Poisson regression model to resolve how to make the decision of quantity of children. The empirical results show if the spouses are public servants, there is more probability in having children and short intervals between the first birth and the second birth. They also have more children than the other people. Besides, if the women are civil servants, they have more children than the other people. However, we can’t prove if the women or their spouses are civil servants, they have more probability in short intervals between the marriage and the first birth from this empirical analysis.