20 May

Attending QMSS2: Analysing the lifecourse

I am very proud to have been accepted for participating in the Summer School on Analysing the life course. This summer school is part of the Quantitative Methods in the Social Sciences 2 (QMSS2) program, funded by the European Science Foundation (ESF).

This June, I will thus head to Bristol, and learn about advanced methods for the analysis of complex event history data. From the program website:

Life course (event history) data often have a highly complex structure with events occurring repeatedly to individuals over time, transitions between multiple ‘states’, and interdependencies between different event processes. To take an example, consider a study of the effect of having children on women’s employment transitions. Over time women may have several children, they may repeatedly move between employment and non-employment states, and their childbearing and employment decisions may have shared unmeasured determinants.

The Quantitative Methods in the Social Sciences program, is a Research Network Program funded by the European Science Foundation. Again from the program website:

It brings together leading European experts across a wide range of methods and discipline areas. Through annual seminars and summer schools, it promotes cutting-edge methods that will be disseminated to the new generation of European researchers. The seminars provide a focal point where specialists from different disciplines and different countries share their experience. The seminars also provide both the vision and the framework for planning the summer schools designed to train young European researchers in specific methods.

I very much look forward to participating in this summer school, and meeting all the other participants. Especially, I hoop to learn a lot about modeling simultaneous equation models, that are fit to model simultaneously multiple processes in peoples’ life-course. I expect such models to be central to my Ph.D. thesis, and will surely report back on what I learned about this methodology in due time.

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