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  • Search: subject:"three-way error-components model"
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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 Kriminalität 1 Lohnstruktur 1 Regionale Lohnstruktur 1 Regionalstruktur 1 felsdvreg 1 fixed effects 1 linked employer-employee data 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Working Paper 1
Language
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English 2 Undetermined 1
Author
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Braakmann, Nils 2 Cornelissen, Thomas 1
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Working Paper Series in Economics 2 Stata Journal 1
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
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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
This paper investigates whether high regional crime levels lead to a compensating wage differential paid by firms in the respective region. Using data from German social security records and official police statistics for 2003 to 2006, we consider both violent and non-violent crimes and use...
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
This paper investigates whether high regional crime levels lead to a compensating wage differential paid by firms in the respective region. Using data from German social security records and official police statistics for 2003 to 2006, we consider both violent and non-violent crimes and use...
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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