Introduction to the design and analysis of complex survey data

Chris J. Skinner and Jon Wakefield

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: We give a brief overview of common sampling designs used in a survey setting, and introduce the principal inferential paradigms under which data from complex surveys may be analyzed. In particular, we distinguish between design-based, model-based and model-assisted approaches. Simple examples highlight the key differences between the approaches. We discuss the interplay between inferential approaches and targets of inference and the important issue of variance estimation.

Keywords: Design-based inference; model-assisted inference; model-based inference; weights; variance estimation. (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Date: 2017-05-11
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (6)

Published in Statistical Science, 11, May, 2017, 32(2), pp. 165-175. ISSN: 0883-4237

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Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:76991

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