Arbeitspapier

Finite sample inference for GMM estimators in linear panel data models

We compare the finite sample performance of a range of tests of linear restrictions for linear panel data models estimated using Generalised Method of Moments (GMM). These include standard asymptotic Wald tests based on one-step and two-step GMM estimators; two bootstrapped versions of these Wald tests; a version of the two-step Wald test that uses a more accurate asymptotic approximation to the distribution of the estimator; the LM test; and three criterion-bases tests that have recently been proposed. We consider both the AR(1) panel model, and a design with predetermined regressors. The corrected two-step Wald test performs similarly to the standard one-step Wald test, whilst the bootstrapped one-step Wald test, the LM test, and a simple criterion-difference test can provide more reliable finite sample inference in some cases.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP04/02

Klassifikation
Wirtschaft
Hypothesis Testing: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Thema
Generalised Method of Moments (GMM) , Hypothesis Testing , Finite Sample Inference
Panel
Theorie
Momentenmethode
Inferenzstatistik

Ereignis
Geistige Schöpfung
(wer)
Bond, Stephen R.
Windmeijer, Frank
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2002

DOI
doi:10.1920/wp.cem.2002.0402
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bond, Stephen R.
  • Windmeijer, Frank
  • Centre for Microdata Methods and Practice (cemmap)

Entstanden

  • 2002

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