Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline

Badi H. Baltagi; James M. Griffin

doi:10.1016/S0304-4076(96)01802-7

Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline

Badi H. Baltagi, James M. Griffin

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

177 Scopus citations

Abstract

This paper utilizes an international panel data set and a dynamic demand specification for gasoline to compare the performance of homogeneous and heterogeneous parameter estimators. In addition to comparing the plausibility of the various estimates, a forecast performance comparison is performed to examine differences in predictions over one-, five-, and ten-year horizons.

Original language	English (US)
Pages (from-to)	303-327
Number of pages	25
Journal	Journal of Econometrics
Volume	77
Issue number	2
DOIs	https://doi.org/10.1016/S0304-4076(96)01802-7
State	Published - Apr 1997
Externally published	Yes

Keywords

Error components
Gasoline demand
Panel data
Shrinkage estimators

ASJC Scopus subject areas

Economics and Econometrics

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10.1016/S0304-4076(96)01802-7

Cite this

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title = "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline",

abstract = "This paper utilizes an international panel data set and a dynamic demand specification for gasoline to compare the performance of homogeneous and heterogeneous parameter estimators. In addition to comparing the plausibility of the various estimates, a forecast performance comparison is performed to examine differences in predictions over one-, five-, and ten-year horizons.",

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AB - This paper utilizes an international panel data set and a dynamic demand specification for gasoline to compare the performance of homogeneous and heterogeneous parameter estimators. In addition to comparing the plausibility of the various estimates, a forecast performance comparison is performed to examine differences in predictions over one-, five-, and ten-year horizons.

KW - Error components

KW - Gasoline demand

KW - Panel data

KW - Shrinkage estimators

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Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline

Abstract

Keywords

ASJC Scopus subject areas

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