Impact of individual and institutional factors on wage rate for nurses in Canada: Is there a monopsony market?
Auteurs: Ruolz Ariste et Ali Béjaoui
Aperçu
Résumé (français)
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Résumé (anglais)
Previous studies on Canadian nurse wages were limited to individual factors and did not take into account contextual factors such as hospital market share, labour market size or unionization. Based on market share, some refer to the nursing labour market as a monopsony, which depresses wages and might explain the shortage. However, this has not yet been tested empirically in the Canadian Registered Nurse (RN) labour market. This article aims to fill this gap by using the microdata files of the Labour Force Survey for the years 2010-2012 and the multilevel analysis to shed light on this issue. The contribution of this work is that it takes into account both individual and contextual variables to try to explain nurses’ hourly wage. In accordance with the monopsony model, we hypothesize a negative correlation between hourly wage and level of market share; i.e. monopsony employers would pay a lower wage rate. The results do not support the monopsony model to explain nursing labour shortage: there is no statistically significant relation between RN wages and market share; no relation was found for market size either. This suggests that an explanation for RN labour shortage must be investigated elsewhere.
Détails
Type | Article de journal |
---|---|
Auteur | Ruolz Ariste et Ali Béjaoui |
Année de pulication | 2019 |
Titre | Impact of individual and institutional factors on wage rate for nurses in Canada: Is there a monopsony market? |
Volume | 33 |
Nom du Journal | International Review of Applied Economics |
Numéro | 5 |
Pages | 659-681 |
Établissement | Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) |
Langue de publication | Anglais |
- Ruolz Ariste
- Ruolz Ariste et Ali Béjaoui
- Impact of individual and institutional factors on wage rate for nurses in Canada: Is there a monopsony market?
- International Review of Applied Economics
- 33
- 2019
- 5
- 659-681