published in: Labour Economics, 2001, 8 (4), 475-501
In this paper we conduct a theoretical analysis of the implications of a union which can exploit the existence of firm labour adjustment costs. We consider a model involving a large number of identical firms facing a single, economy-wide union. We solve (i) for the Markov perfect equilibria with no commitment, under the assumption that the union chooses wages each period and firms react by choosing employment, and (ii) for the commitment equilibria where the union can precommit to the entire (infinite) sequence of wages. We conclude that the speed of adjustment of employment, that is higher in the no-commitment case, decreases with adjustment costs in both models. Moreover adjustment costs affect the long run values of employment and wages only in the no-commitment case, i.e., the higher the relevance of adjustment costs the higher the wage and therefore the smaller the level of employment in the long run. Commitment on the part of the union leads to lower wages, and moreover is beneficial to firms as well as to the union. Given that the union would like to commit to a lower path of wages we consider whether reputation building is desirable.
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.