A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2016
Autor:innen
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
EU-Projektnummer
DFG-Projektnummer
Projekt
Open Access-Veröffentlichung
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Oxford Bulletin of Economics and Statistics. 2016, 78(6), pp. 915-924. ISSN 0305-9049. eISSN 1468-0084. Available under: doi: 10.1111/obes.12144
Zusammenfassung

The presence of weak instruments is translated into a nearly singular problem in a control function representation. Therefore, the L2-norm type of regularization is proposed to implement the 2SLS estimation for addressing the weak instrument problem. The L2-norm regularization with a regularized parameter O(n) allows us to obtain the Rothenberg (1984) type of higher-order approximation of the 2SLS estimator in the weak instrument asymptotic framework. The proposed regularized parameter yields the regularized concentration parameter O(n), which is used as a standardized factor in the higher-order approximation. We also show that the proposed L2-norm regularization consequently reduces the finite sample bias. A number of existing estimators that address finite sample bias in the presence of weak instruments, especially Fuller's limited information maximum likelihood estimator, are compared with our proposed estimator in a simple Monte Carlo exercise.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
330 Wirtschaft
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690KIM, Namhyun, Winfried POHLMEIER, 2016. A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments. In: Oxford Bulletin of Economics and Statistics. 2016, 78(6), pp. 915-924. ISSN 0305-9049. eISSN 1468-0084. Available under: doi: 10.1111/obes.12144
BibTex
@article{Kim2016-07-23Regul-36281,
  year={2016},
  doi={10.1111/obes.12144},
  title={A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments},
  number={6},
  volume={78},
  issn={0305-9049},
  journal={Oxford Bulletin of Economics and Statistics},
  pages={915--924},
  author={Kim, Namhyun and Pohlmeier, Winfried}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36281">
    <dc:contributor>Pohlmeier, Winfried</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/46"/>
    <dcterms:title>A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments</dcterms:title>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/36281"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/46"/>
    <dc:contributor>Kim, Namhyun</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-12-13T12:29:06Z</dcterms:available>
    <dc:creator>Pohlmeier, Winfried</dc:creator>
    <dcterms:abstract xml:lang="eng">The presence of weak instruments is translated into a nearly singular problem in a control function representation. Therefore, the L&lt;sub&gt;2&lt;/sub&gt;-norm type of regularization is proposed to implement the 2SLS estimation for addressing the weak instrument problem. The L&lt;sub&gt;2&lt;/sub&gt;-norm regularization with a regularized parameter O(n) allows us to obtain the Rothenberg (1984) type of higher-order approximation of the 2SLS estimator in the weak instrument asymptotic framework. The proposed regularized parameter yields the regularized concentration parameter O(n), which is used as a standardized factor in the higher-order approximation. We also show that the proposed L&lt;sub&gt;2&lt;/sub&gt;-norm regularization consequently reduces the finite sample bias. A number of existing estimators that address finite sample bias in the presence of weak instruments, especially Fuller's limited information maximum likelihood estimator, are compared with our proposed estimator in a simple Monte Carlo exercise.</dcterms:abstract>
    <dc:creator>Kim, Namhyun</dc:creator>
    <dcterms:issued>2016-07-23</dcterms:issued>
    <dc:language>eng</dc:language>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-12-13T12:29:06Z</dc:date>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet