Estimation in Panel Models: Results on Pooling Cross-Sections and Time Series

Hannan, Michael T.; Young, Alice A.

doi:10.2307/270753

Cited by 138Spatial and Panel Data AnalysisStatistical Methods and Bayesian InferenceSurvey Sampling and Estimation Techniques

Estimation in Panel Models: Results on Pooling Cross-Sections and Time Series

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Hannan, Michael T., Young, Alice A.·1977·Sociological Methodology

DOI 10.2307/270753

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Abstract

The authors describe methodological issues of panel analysis designs; in particular, autocorrelation of errors across waves. They recommend constructing a “pooled” model of data from all waves to deal with design and estimation problems, and present results from a simulation of the behavior of alternate estimators for pooled models.

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Pooled cross-section time series frameworks have been common in the social sciences for decades where they are analyzed as 'panel data'.
“Such frameworks have been common in the social sciences for decades where they are analyzed as 'panel data' (Balestra and Nerlove, 1966; Hannan and Young, 1977).”
From Forecasting Extreme Temperatures in Siberia Using Supervised Learning and Conformal Prediction Regions (2025) · cites this paper as Hannan and Young, 1977

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Authors: Hannan, M. T., & Young, A. A.
ORCID: Hannan, Michael T.
Venue: Sociological Methodology
Publisher: JSTOR
Published: 1977
Volume: 8
Pages: 52
ISSN: 0081-1750 (ISSN-L)
DOI: 10.2307/270753
OpenAlex: W2321416376
Cited by: 138
References: 19
Citations by year: 2025: 1 · 2016: 1 · 2013: 1 · 2012: 2
FWCI: 31.04
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: cc-by
Locations: Sociological Methodology (publishedVersion)
OakTrust (Texas A&M University Libraries) (submittedVersion, cc-by)
Topics: Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
Keywords: panel data models, autocorrelated errors, estimator performance, simulation study, panel design

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Estimation in Panel Models: Results on Pooling Cross-Sections and Time Series

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