The effect of retirement on health
A comparison of different panel data estimators
This paper provides new evidence on the question whether retirement leads to improvements in health. The question is approached in a difference-in-differences (DID) framework, estimating non-linear panel data models for workers in Germany between 1992 and 2017 to determine the effect of retirement on a number of health outcomes after accounting for year, age and individual specific fixed effects.
Implementing DID in non-linear panel data models for self-assessed health and satisfaction with health, both ordered responses, or the number of doctor visits, a count, creates a number of methodological challenges the solutions to which are highly specific. But there are some common themes: biases due to wrong parametric assumptions, the incidental parameters problem, the non-trivial task of deriving and estimating average partial effects.
The paper reviews recent developments in the related economic literature, and applies them in a unified framework and for a single dataset and parameter of interest. On the one hand, this comparison allows the assessment of the robustness of results to specific modelling assumptions, and on the other hand, highlights the pros and cons of the different approaches.
Presenter
Rainer Winkelmann is a Professor of Economics at the University of Zurich. He taught at Dartmouth College, USA, and the University of Canterbury, New Zealand, and was visiting professor at Harvard University, Syracuse University and UCLA. He is Steering Committee member of the UZH Center for Reproducible Science, member of the Executive Committee of the Swiss Society for Economics and Statistics as well as Associate Editor of the Journal of Population Economics. His research interests are in micro-economics, in particular models for discrete data and panel data, with applications to public policy, including work, family and well-being.
Visitors are welcome to attend. We hope to see you there.
Event Details
- Date:
- 28 August 2019 at 12:00 pm – 1:00 pm
- Venue:
- Monash University Caulfield campus, Building H, Level 9, Seminar room H9.21
- Categories:
- Health Economics
Description
A comparison of different panel data estimators
This paper provides new evidence on the question whether retirement leads to improvements in health. The question is approached in a difference-in-differences (DID) framework, estimating non-linear panel data models for workers in Germany between 1992 and 2017 to determine the effect of retirement on a number of health outcomes after accounting for year, age and individual specific fixed effects.
Implementing DID in non-linear panel data models for self-assessed health and satisfaction with health, both ordered responses, or the number of doctor visits, a count, creates a number of methodological challenges the solutions to which are highly specific. But there are some common themes: biases due to wrong parametric assumptions, the incidental parameters problem, the non-trivial task of deriving and estimating average partial effects.
The paper reviews recent developments in the related economic literature, and applies them in a unified framework and for a single dataset and parameter of interest. On the one hand, this comparison allows the assessment of the robustness of results to specific modelling assumptions, and on the other hand, highlights the pros and cons of the different approaches.
Presenter
Rainer Winkelmann is a Professor of Economics at the University of Zurich. He taught at Dartmouth College, USA, and the University of Canterbury, New Zealand, and was visiting professor at Harvard University, Syracuse University and UCLA. He is Steering Committee member of the UZH Center for Reproducible Science, member of the Executive Committee of the Swiss Society for Economics and Statistics as well as Associate Editor of the Journal of Population Economics. His research interests are in micro-economics, in particular models for discrete data and panel data, with applications to public policy, including work, family and well-being.
Visitors are welcome to attend. We hope to see you there.
Event Contact
- Name
- che-enquiries@monash.edu
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