Arbeitspapier

A shrinkage instrumental variable estimator for large datasets

This paper proposes and discusses an instrumental variable estimator that can be of particular relevance when many instruments are available. Intuition and recent work (see, e.g., Hahn (2002)) suggest that parsimonious devices used in the construction of the final instruments, may provide effective estimation strategies. Shrinkage is a well known approach that promotes parsimony. We consider a new shrinkage 2SLS estimator. We derive a consistency result for this estimator under general conditions, and via Monte Carlo simulation show that this estimator has good potential for inference in small samples

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 626

Klassifikation
Wirtschaft
Estimation: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Model Construction and Estimation
Thema
Instrumental variable estimation
2SLS
Shrinkage
Bayesian regression
Schätztheorie
Bayes-Statistik
Panel
Theorie

Ereignis
Geistige Schöpfung
(wer)
Carriero, Andrea
Kapetanios, George
Marcellino, Massimiliano
Ereignis
Veröffentlichung
(wer)
Queen Mary University of London, Department of Economics
(wo)
London
(wann)
2008

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Carriero, Andrea
  • Kapetanios, George
  • Marcellino, Massimiliano
  • Queen Mary University of London, Department of Economics

Entstanden

  • 2008

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