This chapter documents the sampling design adopted in SHARE. Starting with a definition of the SHARE target population, we describe the protocol that is followed to harmonise and document the sampling procedure and present the sampling frames used by the countries that recruited a baseline or refreshment sample in Wave 7. We then discuss some important aspects of the SHARE sampling design, such as stratification, clustering, variation in selection probabilities and sample composition. Finally, we provide additional information about the sampling variables included in the released SHARE dataset.
Michael Bergmann, Arne Bethmann, Giuseppe De Luca (2019). SAMPLING DESIGN IN SHARE WAVE 7. In SHARE WAVE 7 METHODOLOGY: Panel innovations and life histories (pp. 81-87). Munich : Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy (MPISOC).
SAMPLING DESIGN IN SHARE WAVE 7
Giuseppe De Luca
Membro del Collaboration Group
2019-01-01
Abstract
This chapter documents the sampling design adopted in SHARE. Starting with a definition of the SHARE target population, we describe the protocol that is followed to harmonise and document the sampling procedure and present the sampling frames used by the countries that recruited a baseline or refreshment sample in Wave 7. We then discuss some important aspects of the SHARE sampling design, such as stratification, clustering, variation in selection probabilities and sample composition. Finally, we provide additional information about the sampling variables included in the released SHARE dataset.File | Dimensione | Formato | |
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SHARE_Wave7_Methodology.pdf
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