Estimating the impact of NABE member characteristics on compensation using quantile regression

Christopher Swann () and Lilianna Ruby
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Christopher Swann: Temple University
Lilianna Ruby: Citibank

Business Economics, 2025, vol. 60, issue 3, No 3, 144-158

Abstract: Abstract Since 1964, NABE has provided members with a profile of members’ salary, compensation, and characteristics through its bi-annual salary survey. Since 2006, several econometric estimates of the relationship between member characteristics and compensation have been developed using the salary survey data. This paper presents the results of this year’s model estimation based on the 2024 salary survey published in August 2024. The base model is similar in structure to past models and estimated using ordinary least squares (OLS). However, we extended the analysis by applying quantile regression, which enabled estimating the impact of variables by quartile in the distribution.

Keywords: Compensation; Semilog model; Ordinary least squares; Quantile regression (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1057/s11369-025-00418-1

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