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Women in and out of paid workChanges across generations in Italy and Britain$
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Cristina Solera

Print publication date: 2009

Print ISBN-13: 9781861349309

Published to University Press Scholarship Online: March 2012

DOI: 10.1332/policypress/9781861349309.001.0001

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date: 19 August 2017

Method, data and hypotheses

Method, data and hypotheses

Chapter:
(p.92) (p.93) four Method, data and hypotheses
Source:
Women in and out of paid work
Author(s):

Cristina Solera

Publisher:
Policy Press
DOI:10.1332/policypress/9781861349309.003.0004

This chapter outlines the methods, datasets, variables, and techniques used for the empirical analyses described and discussed in the rest of the book. It starts by illustrating the nature and advantages of a lifecourse perspective and of longitudinal data compared to cross-sectional data. It also briefly describes the different longitudinal designs in order to show when and why an event-oriented observation design is more suitable. The following section focuses on the specific method used in the empirical analyses, namely discrete-time logit models. It then addresses the problems of sample selection and unobserved heterogeneity, and discusses how they are dealt with in these models. The next section describes the two datasets, the sample of women used and the variables chosen. The final section links the previous two chapters with the current chapter and the following two by formulating hypotheses on what has changed across cohorts in the types and correlates of women's work histories in Italy and Britain.

Keywords:   empirical analyses, lifecourse perspective, longitudinal data, unobserved heterogeneity, sample selection

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