This paper examines causality and parameter instability in the long-run relationship between fertility and women’s employment. This is done by a cross-national comparison of macro-level time series data from 1960–2000 for France, West Germany, Italy, Sweden, the UK, and the USA. By applying...

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In this paper, we explore the inter-individual diversity in fertility among women in Austria for the female birth cohorts 1917-1961. Comparative studies revealed that all Western countries have witnessed a decline in the concentration of reproduction during the 20th century, a trend that has...

This study examines fertility variation across housing types and childbearing patterns after housing changes. While the effect of family changes on housing choices has been studied in detail, little is known about childbearing patterns within various housing types, despite the fact that many...

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There is a growing body of literature looking at the interplay between an individual’s residential and other careers in the life-course. Previous research has mostly studied the impact of partnership and employment changes on spatial mobility. This paper focuses on the effect of childbearing...

This paper follows two aims. First it intends to give an overview of the contextual database of the Generations and Gender Program and how it is linked to the Generations and Gender Survey. Secondly, it provides a documentation of the approaches taken towards the conceptual definition and...

This paper documents the source code of “LifeCourse”, a simple competing risk microsimulation model initially developed alongside a study on fertility decline in Bulgaria and Russia. “LifeCourse” is programmed in the generic microsimulation language Modgen developed at Statistics Canada....

A number of studies show that premarital cohabitation increases the risk of subsequent marital dissolution. Some argue that this is a consequence of selection effects and that once these are controlled for premarital cohabitation has no effect on dissolution. We extend this research by examining...

This paper explores the implications of possible bias cancellation using Rubin-style matching methods with complete and incomplete data. After reviewing the naïve causal estimator and the approaches of Heckman and Rubin to the causal estimation problem, we show how missing data can complicate...