Correlation Analysis of Maternal Age and Common Factors

• Main Author: Huang, Bixuan
• Format: Report
• Language: unknown
• Published: Zenodo 2018
• Subjects: Python; Correlation Analysis; Data Mining; Linear Regression; Maternal Age; Iceland
• Online Access: https://doi.org/10.5281/zenodo.2362224

The trend women postponing the time getting pregnant happened in many countries these years. Despite there is no best certain time of getting pregnant,detecting the correlation between women’s maternal age and common influencing factors is meaningful for both policy makers to formulate incentive policies and the public to have the awareness of planning for the time of childbearing. Based on the literature research before the data mining process, education factor, labor force participation and economicuncertainty are selected as the common factors in this correlation analysis. The correlation analysisused data mining with Python and Python packages. International data over the time period from 1998 to 2016 are selected. The data is from OECD Family database, OECD Stat and the world bank. Because of availability of the data, 22 countries are chosen as the objects --Austria, Belgium, Czech Republic, Estonia, Finland, Greece, Hungary, Iceland, Lithuania, Luxembourg, Netherlands, Norway, Poland, Portugal, Slovenia, Spain, Sweden, Switzerland, United Kingdom, Bulgaria, Cyprus, Romania.