Empirical investigation on labour market interactions in an enlarged Europe

This paper proposes an empirical assessment of economic interactions between the labour markets of the integrating EU over the period of time 1995–2005. Drawing on recently made available industry statistics, we provide a sector level study (13 tradable sectors, including manufacturing and services), analysing the contemporary evolution of domestic and trade partners’ employment levels. Given the intensification of trade relations as a result of ongoing integration process, we build a sector-specific measure of economic interdependency, based on information on labour markets’ performance and weighted by the magnitude of intra-EU trade flows (imports). The estimates of a dynamic empirical model confirm the interactions between employment levels in different Member States. Domestic employment in NMS-5 is rather positively affected by the expansion of labour markets in other EU’s trade partners (domestic employment levels in NMS-5 countries improve in parallel to the increase in foreign tradable sectors’ employment). The opposite holds true for EU-15 domestic labour markets that are rather challenged by the expansion of tradable sectors in their EU trade partners.EU integration, labour markets, trade

Market Size, Competitiveness and Technological Frontier - the Impact of Trade Integration with the UE on Productivity in Polish Manufacturing Sectors

This paper addresses the relationship between growth of relative productivity in Polish manufacturing sectors and forces stemming from trade integration with the EU. We look at the productivity growth from the perspective of relations between Polish manufacturing sectors and the foreign ones, focusing on partner countries from the enlarged EU. Empirical analysis is based on sector level bilateral data concerning both domestic (Polish) and foreign market characteristics and degree of openness in the period 1995-2006. Main results indicate that, both in the short and long run, growth in domestic openness (independently on the direction of trade flows) exert positive effect on growth of relative productivity in Poland, while the opposite impact is exhibited by foreign openness. In addition, expansion in relative size of Polish sectors versus foreign ones is also among positive determinants of domestic labour productivity growth. The results suggest that domestic openness and market size effects have stimulated movement of Polish sectors towards the technological frontier with respect to the partner countries from the EU.labour productivity, trade, integration

EU enlargement and labour demand in the New Member States

Research to date on labour market responses to EU integration has tended to concentrate on the labour markets of the old EU members. But what effect has the integration of trade had on wages in the new member states? The following article attempts to answer this question using an empirical model of conditional sectoral labour demand

Global Value Chains and Wages: International Evidence from Linked Worker-Industry Data

Using a rich dataset on over 110,000 workers from nine European countries and the USA we study the wage response to industry dependence on foreign value added. We estimate a Mincerian wage model augmented with an input-output interindustry linkages measure accounting for task heterogeneity across workers. Low and mediumeducated workers and those performing routine tasks experience (little) wage decline due to major dependency of their industries on foreign inputs. Workers from former EU15 are more in danger of unfavourable wage effects than workers from new EU member states. American workers employed in service industries are more exposed than manufacturing workers

GVC and wage dispersion: Firm-level evidence from employee-employer database

Research background: Wage inequalities are still part of an interesting policy-oriented research area. Given the developments in international trade models (heterogeneity of firms) and increasing availability of micro-level data, more and more attention is paid to wage differences observed within and be-tween firms. Purpose of the article: The aim of the paper is to address the research gap concerning limited cross-country evidence on a nexus of wage inequality?global value chains (GVCs), analysed from the perspective of wage inequality components within and between firms. Methods: This paper uses a large employee?employer database derived from the European Structure of Earnings Survey (SES), combined with sector-level indicators of GVC involvement based on the World Input-Output Database (WIOD). As a result, a rich database covering more than 7.5 million observations is created. The regression-based decomposition modelling technique developed by Fiorio and Jenkins (2010) is used to identify the contributions of different factors to wage inequalities, focusing on the components within and between firms. Findings & value added: The analysis presented in this paper aimed to show the contribution of GVC involvement, among various other factors, to the observed inequality of wages. Due to the use of a rich database that merges employer and employee data, the effects materialised with respect to different types of wages could be analysed separately, in particular components between and within firms. The general conclusion from the regression-based decomposition in log wages is that GVCs contribute marginally to the observed wage inequality in the European sample analysed in this paper. Some differences confronting the components within and between firms (the latter dominates) are observed; there is also certain intra sample heterogeneity in the estimated results (e.g. due to sector type or country group), but the general result is robust

Hardware and Software over the Course of Long-Run Growth: Theory and Evidence

Output is generated through purposefully initiated physical action. Production needs energy and information, provided by respective factors: hardware (“brawn”), including physical labor and physical capital, and software (“brains”), encompassing human cognitive work and pre-programmed software, in particular artificial intelligence (AI). From first principles, hardware and software are essential and complementary in production, whereas their constituent components are mutually substitutable. This framework generalizes the neoclassical model of production with capital and labor, models with capital-skill complementarity and skill-biased technical change, and unified growth theories embracing also the pre-industrial period. Having laid out the theory, we provide an empirical quantification of hardware and software in the US, 1968-2019. We document a rising share of physical capital in hardware (mechanization) and digital software in software (automation); as a whole software has been growing systematically faster than hardware. Accumulation of digital software was a key contributor to US economic growth.2023/0911-39SGH KAE Working Papers Serie

Efficiency of European public higher education institutions: a two-stage multicountry approach

The purpose of this study is to examine efficiency and its determinants in a set of higher education institutions (HEIs) from several European countries by means of non-parametric frontier techniques. Our analysis is based on a sample of 259 public HEIs from 7 European countries across the time period of 2001–2005. We conduct a two-stage DEA analysis (Simar and Wilson in J Economet 136:31–64, 2007), first evaluating DEA scores and then regressing them on potential covariates with the use of a bootstrapped truncated regression. Results indicate a considerable variability of efficiency scores within and between countries. Unit size (economies of scale), number and composition of faculties, sources of funding and gender staff composition are found to be among the crucial determinants of these units’ performance. Specifically, we found evidence that a higher share of funds from external sources and a higher number of women among academic staff improve the efficiency of the institution