In this paper we analyse an economy where firms use labour as the only production factor, with constant return to scale. We suppose that jobs differ in their non-wage characteristics so each firm has a monopsonistic power. Mainly, we suppose that workers are heterogeneous with respect to their productivity. Then, each firm has incentives to offer higher wages in order to recruit the most productive workers. The competition among firms leads to a symmetric equilibrium wage which is higher than the reservation wage and to involuntary unemployment for the less productive workers, that are willing to work at the current wage but are not hired because their productivity is lower than the wage level. If firms have no institutional constraint on paying lower wages for the same job, an endogenous labour market segmentation emerges.
EU fiscal rules are meant to keep public finances on a sustainable path. This paper presents a new database that tracks numerical compliance with the four main rules of the Stability and Growth Pact starting in 1998. Our assessment of numerical compliance abstracts from the many exceptions and elements of discretion allowed by the letter and the spirit of EU law. It focuses on the main course of action implied by the rules. Overall, our database points to a very mixed compliance record. On average – across countries, years and rules – budgetary policies of the EU member states are compliant in just over half of the cases with stark and persistent differences across countries. We also detect a distinct cyclical pattern of compliance, which sends false signals of safety in good times.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.