Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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im Mai 1983 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована в травні 1983

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Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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P1476

Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology

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P2093

Terry E. Dielman

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P2860

Small Sample Properties of Alternative Estimators of Seemingly Unrelated Regressions

An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias

A Biometrics Invited Paper. Topics in Variance Component Estimation

Estimation of Dynamic Models with Error Components

Specification Tests in Econometrics

Pooling Cross Section and Time Series Data in the Estimation of a Dynamic Model: The Demand for Natural Gas

The error components model

The Use of Variance Components Models in Pooling Cross Section and Time Series Data

Estimation of a dynamic demand function for gasoline with different schemes of parameter variation

Further Evidence on the Estimation of Dynamic Economic Relations from a Time Series of Cross Sections

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111-122

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scholarly article

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10.1080/00031305.1983.10482722

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14461901679417623116

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English

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1983-05-01T00:00:00Z

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Amar