Data pre-processing and data generation in the student flow case study

Education covers a range of sectors from kindergarten to higher education. In the education system, each grade has three possible outcomes: dropout, retention and pass to the next grade. In this work, we study the data from the Department of Statistics of Education and Science (DGEEC) of the Education Ministry. DGEEC maintains those outcomes for each school year, therefore, this study seeks a longitudinal view based on student flow. The document reports the data pre-processing, a stochastic model based on the pre-processed data and a data generation process that uses the previous model.The authors would like to thank the FCT Projects of Scientific Research and Technological Development in Data Science and Artificial Intelligence in Public Administration, 2018-2022 (DSAIPA/DS/0039/2018), for its support. LCav, PP and LCor also acknowledge support by UID/MULTI/04046/2103 center grant from FCT, Portugal (to BioISI).info:eu-repo/semantics/publishedVersio

International differences in self-reported health measures in 33 major metropolitan areas in Europe.

The increasing concentration of populations into large conurbations in recent decades has not been matched by international health assessments, which remain largely focused at the country level. We aimed to demonstrate the use of routine survey data to compare the health of large metropolitan centres across Europe and determine the extent to which differences are due to socio-economic factors

Mortality among Norwegian doctors 1960-2000

<p>Abstract</p> <p>Background</p> <p>To study the mortality pattern of Norwegian doctors, people in human service occupations, other graduates and the general population during the period 1960-2000 by decade, gender and age. The total number of deaths in the study population was 1 583 559.</p> <p>Methods</p> <p>Census data from 1960, 1970, 1980 and 1990 relating to education were linked to data on 14 main causes of death from Statistics Norway, followed up for two five-year periods after census, and analyzed as stratified incidence-rate data. Mortality rate ratios were computed as combined Mantel-Haenzel estimates for each sex, adjusting for both age and period when appropriate.</p> <p>Results</p> <p>The doctors had a lower mortality rate than the general population for all causes of death except suicide. The mortality rate ratios for other graduates and human service occupations were 0.7-0.8 compared with the general population. However, doctors have a higher mortality than other graduates. The lowest estimates of mortality for doctors were for endocrine, nutritional and metabolic diseases, diseases in the urogenital tract or genitalia, digestive diseases and sudden death, for which the numbers were nearly half of those for the general population. The differences in mortality between doctors and the general population increased during the periods.</p> <p>Conclusions</p> <p>Between 1960 and 2000 mortality for doctors converged towards the mortality for other university graduates and for people in human service occupations. However, there was a parallel increase in the gap between these groups and the rest of the population. The slightly higher mortality for doctors compared with mortality for other university graduates may be explained by the higher suicide rate for doctors.</p

Education Mismatch, Human Capital and Labour Status of Young People Across European Union Countries

This paper analyses the influence of country-level education mismatch on the individual-level relationship between education and the probability of being unemployed or staying in alternative labour statuses, for young people aged 15-34 in 2006, 2008 and 2010, living in 21 EU countries. We assume that young people may fall in five labour market statuses: 1) Employee; 2) Self-employed; 3) Unemployed; 4) In Education; 5) Inactive, and perform a multinomial logit model to study the effects of years of education on relative probability of being in labour statuses 2, 3, 4, or 5, compared to the base category (Employee). Afterwards, we interact the individual-level years of education with a country-level indicator of education mismatch in order to identify the heterogeneous effects of the aggregate mismatch among people with different educational attainments. Results show that more years of education: i) reduce the relative probability of being unemployed; ii) have a cumulative effect by extending the period of education; iii) slightly raise the relative probability to be self-employed. As regards country-level education mismatch, we found that only after 2008 it produces an additional effect on better educated young people by further reducing their relative unemployment risk when it is compared to that of low educated youngsters. This outcome tells us that improving access to university degrees remains the main road to tackle youth unemployment caused by education mismatch, even after the outburst of the current financial and economic crisis