Educational upgrading,structural change and the task composition of jobs in Europe

We analyze the changes in the task content of jobs in 24 European countries between 1998 and 2015. We link the O*NET occupational data with the European Union Labour Force Survey (EU‐LFS), and use the methodology of Acemoglu and Autor ( 2011 ). We find that the intensity of non‐routine cognitive tasks grew in all countries, while the intensity of manual tasks declined. Workforce upskilling was the major factor contributing to these developments. The intensity of routine cognitive tasks grew in most Central and Eastern European countries, but it declined in Western European countries. This difference is attributed to the contrasting patterns of structural changes in these groups of countries.     

Does studying abroad enhance employability?

Over 200,000 European students study abroad under the Erasmus programme. It appears that studying abroad may impart skills which are helpful for professional careers after graduation. Approximately, 54% of European students report that participation in the Erasmus exchange programme helped them to obtain a first job; however, interestingly, those from Central and Eastern European countries report it much more often—in 73% of cases. The aim of this paper is to find out whether studying abroad enhances the employability of higher education graduates in Poland. Using the propensity score matching method and data from a nationwide tracer survey of Polish graduates, we find that Polish students who completed at least one semester of their studies abroad do not benefit in terms of a higher employment rate after graduation.     

The heterogeneity of convergence in transition countries

For two groups of post-communist countries (CEE and CIS) we estimated the parameters of convergence equations on the basis of annual data. We depart from standard econometric theory, which involves panel regression techniques. We test cross-country heterogeneity of parameters within a system of Seemingly Unrelated Regression Equations (SURE). We show empirical evidence in favour of the variability of parameters describing the convergence effect and productivity growth rates across countries. Our approach seems a convincing alternative to the panel regression approach where random effects can be estimated, imposing an assumption about the constancy of structural parameters within the group of countries under analysis. We discuss the role of the global financial crisis in the heterogeneity of convergence processes and productivity at the country level. The aforementioned SURE model was estimated based on two datasets, one containing observations prior to the crisis and the second containing the whole sample.     

Can Banks Self‐Regulate? Voluntary Agreements,Intrinsic Motivation and Games

This article argues that lessons on how to achieve a sustainable financial system can be learnt from the work done on sustainable commons (on common‐pool resources – CPRs – where there is no ‘tragedy of the commons’). Existing approaches to financial regulation may not give proper attention to available solutions. The article proposes that innovative solutions could be tested using experimental methods commonly used in CPRs: repeat run, feedback driven games.     

The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator

In this paper I use the National Supported Work (NSW) data to examine the finite‐sample performance of the Oaxaca–Blinder unexplained component as an estimator of the population average treatment effect on the treated (PATT). Precisely, I follow sample and variable selections from Dehejia and Wahba (1999), and conclude that Oaxaca–Blinder performs better than any of the estimators in this influential paper, provided that overlap is imposed. As a robustness check, I consider alternative sample (Smith and Todd, 2005) and variable (Abadie and Imbens, 2011) selections, and present a simulation study which is also based on the NSW data.     

Testing stationarity of functional time series

Economic and financial data often take the form of a collection of curves observed consecutively over time. Examples include, intraday price curves, yield and term structure curves, and intraday volatility curves. Such curves can be viewed as a time series of functions. A fundamental issue that must be addressed, before an attempt is made to statistically model such data, is whether these curves, perhaps suitably transformed, form a stationary functional time series. This paper formalizes the assumption of stationarity in the context of functional time series and proposes several procedures to test the null hypothesis of stationarity. The tests are nontrivial extensions of the broadly used tests in the KPSS family. The properties of the tests under several alternatives, including change-point and I(1)$I\left(1\right)$, are studied, and new insights, present only in the functional setting are uncovered. The theory is illustrated by a small simulation study and an application to intraday price curves.     

Urban Geographies of Hesitant Transition: Tracing Socioeconomic Segregation in Post‐Ceauşescu Bucharest

Scholars have raised concerns about the social costs of the transition from state socialism to capitalism in Central and Eastern Europe, and geographers are particularly interested in the spatial expressions and implications of these costs, including apparently increasing residential segregation. Applying a range of segregation measures to 1992 and 2002 census data, this contribution studies socio‐occupational residential segregation in Bucharest. The conclusion is that Bucharest was relatively socio‐spatially mixed at both times; in fact, a modest, yet fully legible, decreasing overall trend is observable. This is at odds with many popular assumptions of the past 20 years.