Estimating the impact of NABE member characteristics on compensation

Since 1964, NABE has provided members with an in-depth profile of its members’ salary, compensation, and characteristics through its biannual Salary Survey. Since 2006, several econometric estimates of the relationship between member characteristics and compensation have been developed using the Sal...

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Detalles Bibliográficos
Autores principales: Swann, Christopher, Ruby, Lilianna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Palgrave Macmillan UK 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164241/
https://www.ncbi.nlm.nih.gov/pubmed/37284134
http://dx.doi.org/10.1057/s11369-023-00319-1
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author Swann, Christopher
Ruby, Lilianna
author_facet Swann, Christopher
Ruby, Lilianna
author_sort Swann, Christopher
collection PubMed
description Since 1964, NABE has provided members with an in-depth profile of its members’ salary, compensation, and characteristics through its biannual Salary Survey. Since 2006, several econometric estimates of the relationship between member characteristics and compensation have been developed using the Salary Survey data. Aside from the informational value of those studies, the model results have formed the basis for the online Salary Calculator, designed to offer members a way to predict the impact of their professional attributes and job characteristics on average expected salary and compensation. This paper presents the results of this year’s model estimation based on the 2022 Salary Survey, published in August 2022 and available to members on the NABE website.
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spelling pubmed-101642412023-05-09 Estimating the impact of NABE member characteristics on compensation Swann, Christopher Ruby, Lilianna Bus Econ Original Article Since 1964, NABE has provided members with an in-depth profile of its members’ salary, compensation, and characteristics through its biannual Salary Survey. Since 2006, several econometric estimates of the relationship between member characteristics and compensation have been developed using the Salary Survey data. Aside from the informational value of those studies, the model results have formed the basis for the online Salary Calculator, designed to offer members a way to predict the impact of their professional attributes and job characteristics on average expected salary and compensation. This paper presents the results of this year’s model estimation based on the 2022 Salary Survey, published in August 2022 and available to members on the NABE website. Palgrave Macmillan UK 2023-05-07 2023 /pmc/articles/PMC10164241/ /pubmed/37284134 http://dx.doi.org/10.1057/s11369-023-00319-1 Text en © National Association for Business Economics 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Swann, Christopher
Ruby, Lilianna
Estimating the impact of NABE member characteristics on compensation
title Estimating the impact of NABE member characteristics on compensation
title_full Estimating the impact of NABE member characteristics on compensation
title_fullStr Estimating the impact of NABE member characteristics on compensation
title_full_unstemmed Estimating the impact of NABE member characteristics on compensation
title_short Estimating the impact of NABE member characteristics on compensation
title_sort estimating the impact of nabe member characteristics on compensation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164241/
https://www.ncbi.nlm.nih.gov/pubmed/37284134
http://dx.doi.org/10.1057/s11369-023-00319-1
work_keys_str_mv AT swannchristopher estimatingtheimpactofnabemembercharacteristicsoncompensation
AT rubylilianna estimatingtheimpactofnabemembercharacteristicsoncompensation

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