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  • Search: subject:"Three-way error components"
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Year of publication
Subject
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three-way error-components model 3 Compensating wage differentials 2 crime 2 Abfindung 1 Deutschland 1 Estimation theory 1 Kriminalität 1 Lohnstruktur 1 Mehrgleichungsmodell 1 Multiple equation model 1 Panel 1 Panel data 1 Panel study 1 Regionale Lohnstruktur 1 Regionalstruktur 1 Schätztheorie 1 Simultaneous equations 1 Statistical error 1 Statistischer Fehler 1 Three-way error components 1 felsdvreg 1 fixed effects 1 linked employer-employee data 1
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Online availability
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Free 3 Undetermined 1
Type of publication
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Article 2 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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English 3 Undetermined 1
Author
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Braakmann, Nils 2 Amba, Marius Claude Oyon 1 Cornelissen, Thomas 1
Published in...
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Working Paper Series in Economics 2 Journal of quantitative economics 1 Stata Journal 1
Source
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RePEc 2 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 4 of 4
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Simultaneous equations with three way error components
Amba, Marius Claude Oyon - In: Journal of quantitative economics 19 (2021) 3, pp. 583-596
Persistent link: https://www.econbiz.de/10012622082
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Crime does pay (at least when it's violent)!: on the compensating wage differentials of high regional crime levels
Braakmann, Nils - 2008
consider both violent and non-violent crimes and use three-way error-components estimators to control for individual and …
Persistent link: https://www.econbiz.de/10010265184
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Cover Image
Crime does pay (at least when it’s violent)!– On the compensating wage differentials of high regional crime levels
Braakmann, Nils - 2008
consider both violent and non-violent crimes and use three-way error-components estimators to control for individual and …
Persistent link: https://www.econbiz.de/10005545358
Saved in:
Cover Image
The Stata command felsdvreg to fit a linear model with two high-dimensional fixed effects
Cornelissen, Thomas - In: Stata Journal 8 (2008) 2, pp. 170-189
This article proposes a memory-saving decomposition of the design matrix to facilitate the estimation of a linear model with two high-dimensional fixed effects. A common way to fit such a model is to take into account one of the effects by including dummy variables and to sweep out the other...
Persistent link: https://www.econbiz.de/10005583384
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