JOURNAL ARTICLE
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Determinants of Fertility - An Application of Machine Learning Techniques
Schäfer, Christin | Schmitt, Christian
Journal of Contextual Economics – Schmollers Jahrbuch, Vol. 127 (2007), Iss. 1 : pp. 127–138
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Schäfer, Christin
Schmitt, Christian
Abstract
The paper at hand applies machine learning techniques to investigate first birth transitions. The methods do not rely an distribution assumptions and require only few preconditions for application. The results are compatible with contemporary demographic research, highlighting - among other factors - the Status of relationship, income and the distribution of labour in the farnily. Machine learning techniques may thus be used as explorative method in the social sciences as well as tool for an in-depth analysis in future research as they are especially suited to process large data sets.