Two Full-Time Post Doc Research Positions
Dondena at Bocconi University is offerong two full-time Post-doc research positions, to work on the IFAMID project, lead by Università Bocconi PI Arnstein Aassve. The empirical side of the project focuses on explaining 1) fertility trends and differentials in OECD countries, 2) the transition to adulthood, and 3) the global perspective of fertility change. It received ERC funding in 2016.
An important aspect of this approach is that policies contained within existing welfare constellations, often taken as explanatory factors for family outcomes, are necessarily endogenous, and its evolution depends on the underlying quality of relevant institutions and cultural traits, which may react very differently with respect to the onset of global trends, and therefore give different patterns of family formation.
With this project, a series of hypotheses will be developed and empirically tested. The World Values Surveys will serve as an important data source, but the unit of analysis will be in large part at the regional level since it is impossible to account fully for the complex interaction of culture and institutions from a cross-country perspective only. This implies collecting a chronology of regional variables on cultural traits, institutions, and demographic outcomes.
As a part of a larger research team, the candidate will contribute to economic analysis of large data sets, contribute to the development of research ideas within the realm of the IFAMID project, perform data analysis and write research papers and policy briefs, and take part in international conferences.
In order to participate in the competition, the candidate must have the following requirements:
- Qualification: PhD in Sociology, Economics, Demography or related field.
- Strong quantitative skills and expert knowledge of either STATA or R
- Mastery of economic techniques
- Demonstrated abilities in handling large and complex data sets. There is particular interest in experiences in using DHS/IPUMS surveys
- Excellent command of English
- Track record of working in research teams
- Experience in demographic analysis, especially family dynamics and its relationship to issues such as poverty, inequality and uncertainty will also be positively evaluated.
Scientific Coordinator:Arnstein.Aassve [at] unibocconi.it ( Prof. Arnstein Aassve)
Deadline to apply: 21 February 2019