recession, for a long time in a position of equilibrium with low employment/high unemployment due to insufficient demand.
Hysteresis may result from institutional characteristics of labour markets, like employment protection legislation that
The International Monetary Fund (IMF) has undergone notable changes by starting collaboration with the European Union (EU). Hence, this paper seeks to estimate the effects of IMF programmes on employment, with data from the EU-28 between 1993 and 2013. In order to control for selection on observable and unobservable variables, the study employs Propensity Score Matching in combination with the Differences-in-Difference estimator. Next, the robustness of the findings is checked by applying four different matching algorithms. Our paper concludes that employment decreases once a country resorts to the IMF, and this impact is still measurable after two years of programme initiation.
. Given that the sector choice is subject to these non-insurable risks, a risk-averse individual tends to choose public sector employment. Theoretical models of human capital investments have long recognised the importance of risk aversion in models of
1 Introduction Understanding the determinants of employment intensity of growth, particularly the reasons for the differences in this intensity across countries and over time, is important for policy makers. The aim of this paper is to explore
potentially worrying: most of our students find employment in sectors other than translation . Is this perhaps something new? And what should we do about it? 2 Previous research 2.1 Surveys of employers Several studies address the relation between
uncertainty” ( McKee-Ryan, Song, Wanberg, & Kinicki, 2005 , p. 58) and portrayed as such in numerous narrative reviews about job loss (e.g., Hanisch, 1999 ; Winefield, 1995 ). Employment is considered valuable not only for the financial security it offers
-driven economies is still limited. We aim to show that foreign firms affect regional employment through trade-mediated knowledge spillovers to domestic firms. In order to do so, we rely on a panel dataset of Hungarian manufacturing firms that participate in