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EconStor
Research . 1998
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A behavioral two-sex marriage model

Authors: John K. Dagsvik; Ane S. Flaatten; Helge Brunborg;

A behavioral two-sex marriage model

Abstract

In this paper we propose a particular marriage model, i.e., a model for the number of marriages for each age combination as a function of the vectors of the number of single men and women in each age group. The model is based on Dagsvik (2000) where it is demonstrated that a general type of matching behavior imply, under specific assumptions about the distribution of the preferences of the women and men, a convenient expression for the corresponding marriage model. Data from the Norwegian Population Register for nine years are applied to estimate the model. We subsequently test the hypothesis that, apart from a random “noise”; component, the age‐specific parameters of the model change over time according to a common trend. We find that the hypothesis is not rejected by our data.

This is an electronic version of an article published in Mathematical Population Studies, Vol. 9 (2), March 2001, 97-121. Mathematical Population Studies is available online at: http://www.tandfonline.com/toc/gmps20/9/2

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Norway
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Keywords

JEL classification: C78, ddc:330, JEL classification: J12, J11, JEL classification: J11, J12, Two-sex demographic models, VDP::Social science: 200::Demography: 300, Demografiske modeller, Demographic models, Scientific article, Ekteskap, Two-sided matching, Marriage models, Two-sex demographic models; Marriage models; Two-sided matching, C78, jel: jel:C78, jel: jel:J11, jel: jel:J12

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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