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  • 标题:Reproductive decision-making: towards improved theoretical, methodological and empirical approaches
  • 本地全文:下载
  • 作者:Maria Rita Testa ; Tomáš Sobotka ; S. Philip Morgan
  • 期刊名称:Vienna Yearbook of Population Research
  • 印刷版ISSN:1728-4414
  • 电子版ISSN:1728-5305
  • 出版年度:2011
  • 卷号:9
  • 页码:1-9
  • 出版社:Austrian Academy of Sciences Press
  • 摘要:This issue of the Vienna Yearbook of Population Research features contributions presented at the conference ¡°From intentions to behaviour: reproductive decisionmaking in a macro-micro perspective¡± organised by the Vienna Institute of Demography of the Austrian Academy of Sciences and held in Vienna in December 2010. The meeting included a presentation of the findings of the multidisciplinary research project ¡°REPRO¡± (Reproductive decision making in a macro¨Cmicro approach) on the antecedents and outcomes of fertility intentions. One of the contributions of the project was to show that the stylised ¡®gap¡¯ between intended and actual fertility behaviour - which suggests plenty of scope for policy action - provides crude and potentially misleading simplifications of the complex picture of reproductive decision-making and, consequently, of the role of family-related policies in Europe (Testa and Philipov 2011). An important part of this complexity emerges from the interaction between individual and aggregatelevel factors which determine fertility decisions and the related birth outcomes. In a macro-micro perspective, fertility rates depend on the conditions prevailing in a society. These ¡®macro¡¯ conditions do not directly affect fertility but rather impinge on the fertility decision-making processes of individuals and couples. Hence, a society¡¯s fertility rates are the aggregate-level result of the myriad of fertility decisions taken by individuals and couples. The main challenge of the REPRO project was to investigate fertility decision-making in an integrated macro-micro framework by looking at each of the five different linkages schematically represented in Figure 1.
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