Status: Bibliographieeintrag
Standort: ---
Exemplare:
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| Online-Ressource |
Verfasst von: | Chen, Simiao [VerfasserIn]  |
| Jin, Zhangfeng [VerfasserIn]  |
| Prettner, Klaus [VerfasserIn]  |
Titel: | The retirement migration puzzle in China |
Verf.angabe: | Simiao Chen, Zhangfeng Jin, Klaus Prettner |
Verlagsort: | Essen |
Verlag: | Global Labor Organization (GLO) |
Jahr: | 2020 |
Umfang: | 1 Online-Ressource (circa 51 Seiten) |
Illustrationen: | Illustrationen |
Gesamttitel/Reihe: | GLO discussion paper ; no. 463 |
Abstract: | We examine whether and how retirement affects migration decisions in China. Using a regression discontinuity (RD) design approach combined with a nationally representative sample of 228,855 adults aged between 40 and 75, we find that retirement increases the probability of migration by 12.9 percentage points. Approximately 38% of the total migration effects can be attributed to inter-temporal substitution (delayed migration). Retirement-induced migrants are lower-educated and have restricted access to social security. Household-level migration decisions can reconcile different migration responses across gender. Retirees migrate for risk sharing and family protection mechnisms, reducing market production of their families in the receiving households. |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Verlag: https://www.econstor.eu/bitstream/10419/213433/1/GLO-DP-0463.pdf |
| kostenfrei: Resolving-System: http://hdl.handle.net/10419/213433 |
| 10419/213433 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Retirement |
| Migration decision |
| Regression discontinuity design |
Form-SW: | Graue Literatur |
K10plus-PPN: | 1689285842 |
Verknüpfungen: | → Übergeordnete Aufnahme |
¬The¬ retirement migration puzzle in China / Chen, Simiao [VerfasserIn]; 2020 (Online-Ressource)
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