JACIII Vol.24 No.3 pp. 260-264
doi: 10.20965/jaciii.2020.p0260

Short Paper:

A Predictive Model for Fertility Behavior of Women of Childbearing Age: Based on the Apriori Algorithm and Smooth Cut-Point Calculation

Feng Chen and Xiuwu Zhang

School of Statistics, Huaqiao University
No.668 Jimei Avenue, Jimei District, Xiamen, Fujian 361021, China

Corresponding author

October 25, 2019
January 12, 2020
May 20, 2020
Apriori, smooth cut-points calculation, fertility behavior, model prediction

We combine the Apriori data mining algorithm and smooth cut-point calculation to build a model that uses microscopic individual data to predict fertility behavior. The data of China’s migrant population from 2013 to 2015 are used to predict the reproductive behavior of migrant women. The accuracy of the prediction results is over 84%. The model also quantifies the extent to which the existing characteristics of individuals influence their reproductive behavior. The government can regulate individual fertility behavior based on the quantified scores.

Cite this article as:
F. Chen and X. Zhang, “A Predictive Model for Fertility Behavior of Women of Childbearing Age: Based on the Apriori Algorithm and Smooth Cut-Point Calculation,” J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.3, pp. 260-264, 2020.
Data files:
  1. [1] M. Brockerhoff and X. Yang, “Impact of migration on fertility in sub-Saharan Africa,” Social Biology, Vol.41, Issue 1-2, pp. 19-43, 1994.
  2. [2] H. M. Hervitz, “Selectivity, Adaptation, or Disruption? A Comparison of Alternative Hypotheses on the Effects of Migration on Fertility: The Case of Brazil,” The Int. Migration Review, Vol.19, No.2, pp. 293-317, 1985.
  3. [3] H. Kulu, “Migration and Fertility: Competing Hypotheses Reexamined,” European J. of Population, Vol.21, No.1, pp. 51-87, 2005.
  4. [4] Y.-S. Chen and J. Lin, “The Influence of Population Flow on Fertility Level – An Empirical Analysis Based on Zero Intercepting Poisson Model,” Technology and Economic Guide, Vol.26, No.12, pp. 126-129, 2018 (in Chinese).
  5. [5] Z. Guo and X. Wu, “Application of Poisson Regression in Fertility Study,” Chinese J. of Population Science, Vol.2006, No.4, pp. 2-15+95, 2006 (in Chinese).
  6. [6] Y. Liu, “Housing Provident Fund, Urban Settlement and Fertility Desire: Based on the Investigation and Analysis of the Floating Population,” J. of East China University of Science and Technology (Social Science Edition), Vol.32, No.3, pp. 90-101, 2017 (in Chinese).
  7. [7] Y.-X. Ge, “How to Urbanization Affect Fertility Rate in China? – Research Based on Spatial Panel Data Model,” Population J., Vol.37, No.3, pp. 88-101, 2015 (in Chinese).
  8. [8] V. Filoso and E. Papagni, “Fertility choice and financial development,” European J. of Political Economy, Vol.37, pp. 160-177, 2015.
  9. [9] W. Guo and S.-X. An, “Analysis of the Influence of Inflowing Fertility Policy on the Reproductive Behavior of Migrant Women,” Guizhou Social Sciences, Vol.2013, No.12, pp. 144-147, 2013 (in Chinese).
  10. [10] W. Chen and L. Wu, “Research on the Relationships between Migration and Fertility in China,” Population Research, Vol.30, No.1, pp. 13-20, 2006 (in Chinese).
  11. [11] Z. Chen and C. Deng, “Study on Desired Birth of Chinese Women,” Chinese J. of Population Science, Vol.2007, No.6, pp. 75-81+96, 2007 (in Chinese).
  12. [12] A. Goldstein, M. White, and S. Goldstein, “Migration, Fertility, and State Policy in Hubei Province, China,” Demography, Vol.34, No.4, pp. 481-491, 1997.
  13. [13] Z. Qiu, L. Peng, A. Manatunga, and Y. Guo, “A smooth nonparametric approach to determining cut-points of a continuous scale,” Computational Statistics & Data Analysis, Vol.134, pp. 86-210, 2019.
  14. [14] T. Liang, “Urban Adaptation: Influential Factors for Fertility Intention of Migrant Population and Policy Implications,” J. of Dalian University of Technology (Social Sciences), Vol.39, No.6, pp. 82-90, 2018 (in Chinese).

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Last updated on Oct. 23, 2020