A kink that makes you sick : The effect of sick pay on absence
Böckerman, P., Kanninen, O., & Suoniemi, I. (2018). A kink that makes you sick : The effect of sick pay on absence. Journal of Applied Econometrics, 33(4), 568-579. https://doi.org/10.1002/jae.2620
Julkaistu sarjassa
Journal of Applied EconometricsPäivämäärä
2018Tekijänoikeudet
© 2018 The Authors
We exploit a regression kink design to estimate the elasticity of the duration of
sickness absence with respect to replacement rate. Elasticity is a central parameter
in defining the optimal social insurance scheme compensating for lost
earnings due to sickness. We use comprehensive administrative data and a kink
in the policy rule near the median earnings. We find a statistically significant
estimate of the elasticity of the order of one.
Julkaisija
John Wiley and Sons Ltd.ISSN Hae Julkaisufoorumista
0883-7252Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/27951369
Metadata
Näytä kaikki kuvailutiedotKokoelmat
- Kauppakorkeakoulu [1270]
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Strategisen tutkimuksen ohjelmat STN, SALisätietoja rahoituksesta
We would like to thank the Social Insurance Institution of Finland (KELA) for financial support and access to their data. Financial support from the Academy of Finland Strategic Research Council project Work, Inequality and Public Policy (number 293120) is also gratefully acknowledged. We are grateful to the co‐editor (Thierry Magnac), and Mark Borgschulte, Nadine Chlaß, Ulla Hämäläinen, Olli Kangas, Lance Lochner, Benjamin Marx, Tuomas Matikka, Jukka Pirttilä, Marko Terviö, and Jouko Verho for comments. We also thank participants at the World Congress of the Econometric Society (Montreal), the EEA, EALE, IIPF, the Royal Economic Society, and the Finnish Economic Association annual meetings as well as the Aboa Centre for Economics, HECER, KELA, Government Institute for Economic Research, the Labour Institute for Economic Research, and University of Illinois microeconomics seminars for comments. We are also grateful to Zhuan Pei for his help with the method. The data used in this study are confidential, but other researchers can independently obtain access to them for replication purposes by obtaining permission from the Social Insurance Institution of Finland. ...Lisenssi
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