Arbeitspapier
Estimating production functions with robustness against errors in the proxy variables
This paper proposes a new semi-nonparametric maximum likelihood estimation method for estimating production functions. The method extends the literature on structural estimation of production functions, started by the seminal work of Olley and Pakes (1996), by relaxing the scalar-unobservable assumption about the proxy variables. The key additional assumption needed in the identification argument is the existence of two conditionally independent proxy variables. The assumption seems reasonable in many important cases. The new method is straightforward to apply, and a consistent estimate of the asymptotic covariance matrix of the structural parameters can be easily computed.
- Sprache
-
Englisch
- Erschienen in
-
Series: Working Paper ; No. 583
- Klassifikation
-
Wirtschaft
- Thema
-
Produktionsfunktion
Schätztheorie
Nichtparametrisches Verfahren
Panelforschung
Theorie
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Huang, Guofang
Hu, Yingyao
- Ereignis
-
Veröffentlichung
- (wer)
-
The Johns Hopkins University, Department of Economics
- (wo)
-
Baltimore, MD
- (wann)
-
2011
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:22 MESZ
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.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Huang, Guofang
- Hu, Yingyao
- The Johns Hopkins University, Department of Economics
Entstanden
- 2011
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