Chapter

Method, data and hypotheses

Cristina Solera

in Women in and out of paid work

Published by Policy Press

Published in print July 2009 | ISBN: 9781861349309
Published online March 2012 | e-ISBN: 9781447304319 | DOI: http://dx.doi.org/10.1332/policypress/9781861349309.003.0004
Method, data and hypotheses

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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

Chapter.  14146 words. 

Subjects: Gender and Sexuality

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