Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/257622 
Year of Publication: 
2019
Citation: 
[Journal:] International Journal of Financial Studies [ISSN:] 2227-7072 [Volume:] 7 [Issue:] 2 [Article No.:] 24 [Publisher:] MDPI [Place:] Basel [Year:] 2019 [Pages:] 1-11
Publisher: 
MDPI, Basel
Abstract: 
Using data from 2005 to 2016, this paper examines if players in the National Hockey League (NHL) are being paid a positive differential for their services due to the competition from the Kontinental Hockey League (KHL) and the Swedish Hockey League (SHL). In order to control for performance, we use two different large datasets, (N = 4046) and (N = 1717). In keeping with the existing literature, we use lagged performance statistics and dummy variables to control for the type of NHL contract. The first dataset contains lagged career performance statistics, while the performance statistics are based on the statistics generated during the years under the player's previous contract. Fixed effects least squares (FELS) and quantile regression results suggest that player production statistics, contract status, and country of origin are significant determinants of NHL player salaries.
Subjects: 
NHL
KHL
country of origin
salary
JEL: 
J44
J71
L83
Z21
Z22
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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