Efficiency comparison of random effects two stage least squares estimators

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

For two stage least squares estimation (2SLS) with panel data, Baltagi and Li (1992) have shown that Baltagi's (1981) error-component 2SLS and Balestra and Varadharajan-Krishnakumar's (1987) generalized 2SLS are equivalent in terms of asymptotic variance under the random effects error-component assumption. In the present paper this asymptotic equivalence is extended to models with heteroskedastic and serial correlated errors. However, it is shown that the equivalence does not hold if fixed effects are present in the reduced-form equations. The theoretical claims are verified by simulations and are examined for Cornwell and Trumbull's (1994) model and data.

Original languageEnglish
Pages (from-to)59-62
Number of pages4
JournalEconomics Letters
Volume148
DOIs
Publication statusPublished - 2016 Nov 1

Fingerprint

Two-stage least squares
Random effects
Least squares estimator
Error components
Equivalence
Reduced form
Simulation
Fixed effects
Asymptotic variance
Panel data
Serials

Keywords

  • EC2SLS
  • Efficiency
  • G2SLS
  • Panel data
  • Random effects
  • Two stage least squares

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

Cite this

Efficiency comparison of random effects two stage least squares estimators. / Han, Chirok.

In: Economics Letters, Vol. 148, 01.11.2016, p. 59-62.

Research output: Contribution to journalArticle

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