614 resultados para working capacity - employment


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The purpose of this study is to evaluate the size and composition of the student labour force in order to consider its potential impact on labour markets in the European Union. The paper is based on an analysis of EU Labour Force Survey data from 2011, supplemented by the findings of the EUROSTUDENT project. The structure of student labour is discussed within the framework of the so-called ‘crowding-out’ literature, which identifies competition for jobs between students and low educated non-students, particularly in the retail and wholesale sectors. In contrast to these assumptions, the authors found that, depending on the age of the student, the profile of student workers closely matches that of non-students with medium- to-high educational attainment. In general, the retail and wholesale sectors are of importance in the employment of students under the age of 25, but students typically take positions in the middle of the occupational hierarchy, rather than in the lower-grade positions. Meanwhile, older students, often professionals furthering their education while studying, are typically located in similar jobs and sectors to university graduates. A common trait of student work is its very high degree of flexibility compared to that of non-students. Nevertheless, the structure of student labour does not lead us to believe that student workers are particularly prone to be present in the precarious segment of the labour market.

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Recent organisational and technological changes à la Uber have generated a new labour market fringe: a digital class of workers and contractors. In this paper we study the case of CoContest, a crowdsourcing platform for interior design. Our objective is to investigate how profitable this type of work can be, also from a cross-country perspective, and why professionals choose to supply work on such a platform. Given the low returns, one might expect to see a pattern of northern employer/southern contractor. Yet analysis reveals a more nuanced pattern, in which designers supply their work even if they live in Italy, which is a high-income country. For these designers work on CoContest can make sense if they are new to the labour market and face high entry barriers, although crowdsourcing does not offer them profitable employment full time. The case of Serbia, the second-largest supplier of designers, is different, however. As a result of differences in purchasing power, if the market grows experienced Serbian designers can expect to make a living from crowdsourced contracts.

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This paper argues that the Phillips curve relationship is not sufficient to trace back the output gap, because the effect of excess demand is not symmetric across tradeable and non-tradeable sectors. In the non-tradeable sector, excess demand creates excess employment and inflation via the Phillips curve, while in the tradeable sector much of the excess demand is absorbed by the trade balance. We set up an unobserved-components model including both a Phillips curve and a current account equation to estimate ‘sustainable output’ for 45 countries. Our estimates for many countries differ substantially from the potential output estimates of the European Commission, IMF and OECD. We assemble a comprehensive real-time dataset to estimate our model on data which was available in each year from 2004-15. Our model was able to identify correctly the sign of pre-crisis output gaps using real time data for countries such as the United States, Spain and Ireland, in contrast to the estimates of the three institutions, which estimated negative output gaps real-time, while their current estimates for the pre-crisis period suggest positive gaps. In the past five years the annual output gap estimate revisions of our model, the European Commission, IMF, OECD and the Hodrick-Prescott filter were broadly similar in the range of 0.5-1.0 percent of GDP for advanced countries. Such large revisions are worrisome, because the European fiscal framework can translate the imprecision in output gap estimates into poorly grounded fiscal policymaking in the EU.

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"Analytical tables: Table 1: Employees in certain activities as a proportion of total employees in industry; Table 2: Annual trends in numbers of employees in certain activities; Table 3: Proportion of female employees in certain activities. Basic tables (in thousands): Table 4: Employees in employment by NACE classes (men and women); Table 5: Female employees by NACE classes."

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The European Union has prioritised the pursuit of innovation based growth and targeting of resources to promote research and development, but performance on innovation remains weak.With the lack of results comes fatigue, waning interest and mounting criticism about policy. Should the EU abandon its ambition to become the most innovative region in the world?We examine EU member state research and innovation policies. We assess whether the deployment of innovation policy instruments in EU countries matches their innovation capacity performance relative to other EU countries.We find a relative homogeneity of policy mixes in EU countries, despite the fairly wide and stable differences in their innovation capacities.Our analysis therefore provides a rationale for a more comprehensive review of innovation policy mixes to assess their adequacy in addressing country specific innovation challenges.