Diverse Routes from School, via Higher Education, to Employment. A Comparison of Nine European Countries

The central theme for this study is graduate employment and employability in European-wide discussion. In this study, the complex relationships between higher education and the world of work are explored from the vantage point of how individuals make use of the higher education system in their transition from education to employment. The variation among individual transition processes in nine European countries is analysed with the help of a comparable graduate survey. Countries in this study are Italy, Spain, France, Austria, Germany, the Netherlands, the United Kingdom, Finland, and Norway. The data used for the study is commonly known as the “CHEERS” or “Careers after Higher Education, A European Research Survey.” The data was collected in 1999. The study discusses the possibilities and limitations the higher education system has in supporting the initial education-to-work transitions of youth. The study also addresses problems with comparing national higher education systems in terms of enrolment and graduate employability. A central purpose for this study is to reflect on concerns about the prolongation of individual transitions with a framework that simultaneously considers both the graduate employability and the duration of the education-to-work transition process. The key concept for this study is the standard student/graduate; synonym concepts are the traditional and the conventional student/graduate. Standard graduates are relatively young individuals who are performing their initial transition from education to working-life and who complete the degree-earning process within the stipulated time frame. In all nine countries, standard graduates make up a considerable share of the student flow, passing from higher education to the labour markets. The share of standard graduates is by far the largest in France, where they comprise the overwhelming mass. The proportion of the standard graduates is the lowest in Italy, Finland, and Austria where approximately one in four graduates completed the process of higher education within the stipulated time frame. Of the nine countries compared, employability of the whole graduate population is the greatest in Norway, the UK, Finland, and the Netherlands. Compared with employability of the whole graduate population, variation among the countries is considerably reduced when reviewing the employability of only the standard graduates. Thereby, even though the ranking among countries remains largely unchanged, the variations among them are smaller when the duration of degree earning process is standardized. The study also discusses other ideal types of student careers (or transition processes) besides the standard student/graduate. Results of regression analyses indicate that that at the pan-European level analysis, the graduate labour markets are not heavily segmented in terms of the type of the individual transition process. When considering within-country differences between the graduates, the field of studies is clearly a more powerful explanatory variable than the type of the transition process. There are, nevertheless, clear indications that, irrespective of the country, chances of finding a high status job are, on the average, highest amongst those who graduate within the stipulated duration of the degree program and who thereby have experienced the standard student career, whereas, participating in working life while studying protects against unemployment after finishing one’s degree.

Statistical analysis of survey-based event history data with application to modeling of unemployment duration

Longitudinal surveys are increasingly used to collect event history data on person-specific processes such as transitions between labour market states. Surveybased event history data pose a number of challenges for statistical analysis. These challenges include survey errors due to sampling, non-response, attrition and measurement. This study deals with non-response, attrition and measurement errors in event history data and the bias caused by them in event history analysis. The study also discusses some choices faced by a researcher using longitudinal survey data for event history analysis and demonstrates their effects. These choices include, whether a design-based or a model-based approach is taken, which subset of data to use and, if a design-based approach is taken, which weights to use. The study takes advantage of the possibility to use combined longitudinal survey register data. The Finnish subset of European Community Household Panel (FI ECHP) survey for waves 1–5 were linked at person-level with longitudinal register data. Unemployment spells were used as study variables of interest. Lastly, a simulation study was conducted in order to assess the statistical properties of the Inverse Probability of Censoring Weighting (IPCW) method in a survey data context. The study shows how combined longitudinal survey register data can be used to analyse and compare the non-response and attrition processes, test the missingness mechanism type and estimate the size of bias due to non-response and attrition. In our empirical analysis, initial non-response turned out to be a more important source of bias than attrition. Reported unemployment spells were subject to seam effects, omissions, and, to a lesser extent, overreporting. The use of proxy interviews tended to cause spell omissions. An often-ignored phenomenon classification error in reported spell outcomes, was also found in the data. Neither the Missing At Random (MAR) assumption about non-response and attrition mechanisms, nor the classical assumptions about measurement errors, turned out to be valid. Both measurement errors in spell durations and spell outcomes were found to cause bias in estimates from event history models. Low measurement accuracy affected the estimates of baseline hazard most. The design-based estimates based on data from respondents to all waves of interest and weighted by the last wave weights displayed the largest bias. Using all the available data, including the spells by attriters until the time of attrition, helped to reduce attrition bias. Lastly, the simulation study showed that the IPCW correction to design weights reduces bias due to dependent censoring in design-based Kaplan-Meier and Cox proportional hazard model estimators. The study discusses implications of the results for survey organisations collecting event history data, researchers using surveys for event history analysis, and researchers who develop methods to correct for non-sampling biases in event history data.

European Association of Veterinary Diagnostic Imaging : 4th European conferece : matkakertomus

Mirja Ruohoniemi

Site index curves for European aspen ( Populus tremula L.) growing on forest land of different soils in Sweden

Summary