The Kernel-Location Approach - A New Non-parametric Approach to the Analysis of Download Nominal Rigidity in Micro Data

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urn:nbn:de:bvb:355-opus-6629 Copy

Knoppik, Christoph

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Date of publication of this fulltext: 24 May 2006 13:47

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Item type:	Monograph (Working Paper)
Journal or Publication Title:	Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft
Series of the University of Regensburg:	Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft
Volume:	392
Series of the University of Regensburg:	Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft
Date:	2004
Institutions:	Business, Economics and Information Systems > Institut für Volkswirtschaftslehre und Ökonometrie
Identification Number:	Value Type urn:nbn:de:bvb:355-opus-6629 URN RePEc:bay:rdwiwi:662 RePEc Handle
Classification:	Notation Type E24 Journal of Economics Literature Classification J30 Journal of Economics Literature Classification
Keywords:	Nichtparametrisches Verfahren , Lohnstarrheit , Personenbezogene Daten, , Downward Nominal Wage Rigidity , Kernel-Location Approach , Micro Data
Dewey Decimal Classification:	300 Social sciences > 330 Economics
Status:	Published
Refereed:	No, this document will not be refereed
Created at the University of Regensburg:	Yes
Item ID:	4527

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Abstract

A new econometric approach to the analysis of downward nominal wage rigidity in micro data is proposed, the kernel-location approach. It combines kernel-density estimation and the principle of joint variation of location and shape of the distribution of per cent annual nominal wage changes. The approach provides partial estimates of the counterfactual and factual distributions, of the rigidity ...

Abstract

A new econometric approach to the analysis of downward nominal wage rigidity in micro data is proposed, the kernel-location approach. It combines kernel-density estimation and the principle of joint variation of location and shape of the distribution of per cent annual nominal wage changes.
The approach provides partial estimates of the counterfactual and factual distributions, of the rigidity function and of the degree of downward nominal wage rigidity. It avoids problematic assumptions of other semi- or non-parametric approaches to downward nominal wage rigidity in micro data and allows a discussion of the type of downward nominal wage rigidity encountered in
data.
Der vorliegende Beitrag stellt einen neuen ökonometrischen Ansatz zur Analyse der Abwärtsnominallohnstarrheit in Mikrodaten vor, den sogenannten Kernel-Location-Approach. Dieser kombiniert die Schätzung der Kernel-Dichte und das Prinzip der verbundenen Variation von Lage sowie Form der Verteilung von prozentualen jährlichen Nominallohnänderungen. Der Ansatz liefert Teilschätzungen der kontrafaktischen und der faktischen Verteilungen, der Starrheitsfunktion und des Grades der Abwärtsnominallohnstarrheit. Er vermeidet problematische Annahmen anderer semi- oder nicht-parametrischer Ansätze zur Abwärtsnominallohnstarrheit in Mikrodaten und ermöglicht die Diskussion verschiedener Arten der in Daten anzutreffenden Abwärtsnominallohnstarrheit.

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