Time series modelling of repeated survey data for estimation of finite population parameters

Danny Pfeffermann

doi:10.1111/rssa.12950

Time series modelling of repeated survey data for estimation of finite population parameters

Danny Pfeffermann^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

In the first part of the article, I review and discuss the pioneering contributions of the late Alastair Scott and T.M.F Smith to time series analysis of repeated survey data. In the second part, I review and discuss some of the extensive theoretical and applied developments in this area, emerging from their work over the ensuing 40 years or so. I conclude with a brief summary of Scott and Smith contributions and extensions, with some remarks on possible advances and challenges to time series analysis of repeated surveys.

Original language	English
Pages (from-to)	1757-1777
Number of pages	21
Journal	Journal of the Royal Statistical Society. Series A: Statistics in Society
Volume	185
Issue number	4
DOIs	https://doi.org/10.1111/rssa.12950
State	Published - Oct 2022

Bibliographical note

Publisher Copyright:
© 2022 Royal Statistical Society.

Keywords

autocorrelated sampling errors
basic structural model
benchmarking
big data
covid-19
design-based estimation
state-space models

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10.1111/rssa.12950

Cite this

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Time series modelling of repeated survey data for estimation of finite population parameters

Abstract

Bibliographical note

Keywords

Access to Document

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