published in: International Journal of Manpower, 2016, 37(3), 426-455
The literature documents that job satisfaction is positively correlated with worker performance and productivity. We examine whether aggregate job satisfaction in a certain labor market environment can have an impact on individual-level job satisfaction. If the answer is yes, then policies targeted to increase job satisfaction can increase productivity not only directly, but through spillover externalities too. We seek an answer to this question using two different data sets from the United Kingdom characterizing two different labor market environments: Workplace Employment Relations Survey (WERS) at the workplace level (i.e., narrowly defined worker groups) and British Household Panel Survey (BHPS) at the local labor market level (i.e., larger worker groups defined in industry x region cells).
Implementing an original empirical strategy to identify spillover effects, we find that one standard deviation increase in aggregate job satisfaction leads to a 0.42 standard deviation increase in individual-level job satisfaction at the workplace level and 0.15 standard deviation increase in individual-level job satisfaction at the local labor market level. These social interactions effects are sizable and should not be ignored in assessing the effectiveness of the policies designed to improve job satisfaction.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.