The incidence of long-term unemployment : evidence from Greece

In this article, I use the 2000-2004 data from the Greek Labour Force Survey in order to estimate a logit model for the incidence of long-term unemployment. The model computed is similar to the one estimated by Obben et al. (2002). It is found that attributes of the individual such as gender, age category, marital status and region of residence affect the odds of being long-term unemployed. On the other hand, the level of someone's qualification does not affect the odds of whether someone will be short or long-term unemployed

What determines self-employment? : a comparative study

This article consists of a comparative study of the incidence of self-employment (SE) between Greece, which has the highest rate of SE in the European Union and the United Kingdom, which has amongst the lowest. Data from the Greek and the UK Labour Force Surveys are used in order to assess how personal attributes of an individual have an impact on the incidence of SE. It is found that common patterns exist between these two countries. In particular, it is found that for both countries, males have greater odds of being self-employed than females, older people have greater odds than younger, individuals employed in the primary and tertiary sectors have greater odds than the ones employed in the secondary, and that individuals with primary or secondary education have greater odds of being self-employed than individuals holding higher degrees. The incidence of SE is also found to differ according to the occupation of the individual. On the other hand, the findings indicate that individuals, residing in London, have greater odds of being self-employed than individuals working outside UK's capital, whereas in Greece the pattern is reversed

Taking Action: (Re)Imagining Professional Development Through The Teacher Research Project

Grounded in the frameworks of action research, Critical Friends Groups (CFGs), and reflective practice, this article presents an overarching action research study connected by individual action research studies to explore what a cohort of preservice elementary Master of Arts in Teaching (MAT) candidates learned from the process of teacher action research as a (re)imagined form of authentic professional development to aid with student achievement in urban settings. Data came from a cohort of 12 urban preservice teachers’ written reflections on their processes of conducting a four-month Teacher Research Project (TRP) during their student teaching semester in Spring 2016. Teachers’ voices are prominent in this study. All candidates noted how important the TRP was to their own professional development as it was an authentic experience unlike any form of professional development they had previously experienced. Data analysis reveals that their conceptions within professional development were further disaggregated into five sub-themes: individual, student, community network, pedagogy, and empowerment. Implications for preservice teacher education and inservice professional development are discussed

Causalities of the Taiwan Stock Market

Volatility, fitting with first order Landau expansion, stationarity, and causality of the Taiwan stock market (TAIEX) are investigated based on daily records. Instead of consensuses that consider stock market index change as a random time series we propose the market change as a dual time series consists of the index and the corresponding volume. Therefore, causalities between these two time series are investigated.Comment: 8 pages, 15 figure

"સામાન્ય (Normal) અને વિશિષ્ટ બાળકોના શિક્ષકોના માનસિક સ્વાસ્થ્ય અને જીવનસંતોષ" - એક મનોવૈજ્ઞાનિક અભ્યાસ

Not Availabl

Derailed locomotive? Petrobras investments and economic growth in Brazil

[EN] Petrobras is the largest firm in Brazil and one of the largest in the world. Its investment plans are among the biggest in the oil and gas industry, focused in Brazil and on E&P. Petrobras is responsible for a large share of gross capital formation and gross domestic product (GDP) growth in the country. The correlation between its investments and the country investment and GDP growth is above 0.8 and shows the dependency of the economy to Petrobras activity. At the same time, as a state enterprise it has been a tool of macroeconomic policy. In the 2010´s its gasoline and diesel prices were frozen to keep inflation down. The recent crisis in the company, including corruption scandals and oil price slump increased debt levels and reduced its capital expenditures. The sale of assets directive since 2016 is required to reduce its net debt. While a medium to long term survival strategy, the change in Petrobras’ investment profile may decrease the prospects of GDP growth in the Brazilian economy.We acknowledge the support from Labecopet/Poli/UFRJ and comments and suggestions from Eduardo Pontual Ribeiro (IE/UFRJ).Yabiko, RF.; Bone, RB. (2018). Derailed locomotive? Petrobras investments and economic growth in Brazil. International Journal of Production Management and Engineering. 6(1):47-55. https://doi.org/10.4995/ijpme.2018.8758SWORD475561Blanchard, O. (2011). Macroeconomia, 5th Edition. São Paulo: Ed. Pearson.Damodaran, A. (1997). Avaliação de Investimentos: Ferramentas e técnicas para a determinação do valor de qualquer ativo, 1st Edition. Rio de Janeiro: Qualitymark.Gujarati, D. N. (2001). Basic Econometrics, 4th Edition. São Paulo: McGraw-Hill Company.Paduan, Roberta (2016) Petrobras: uma história de orgulho e vergonha. Rio de Janeiro: Ed. Objetiva.Ribeiro, E. P., de Almeida, W. F., & Bone, R. B. (2016). Stock Market Firm Value Effects of Research and Development Expenditures in the Oil and Gas Industry. Engineering Systems and Networks, 61-67. doi:10.1007/978-3-319-45748-2_

Quantifying the Resiliency of Fail-Operational Real-Time Networked Control Systems

In time-sensitive, safety-critical systems that must be fail-operational, active replication is commonly used to mitigate transient faults that arise due to electromagnetic interference (EMI). However, designing an effective and well-performing active replication scheme is challenging since replication conflicts with the size, weight, power, and cost constraints of embedded applications. To enable a systematic and rigorous exploration of the resulting tradeoffs, we present an analysis to quantify the resiliency of fail-operational networked control systems against EMI-induced memory corruption, host crashes, and retransmission delays. Since control systems are typically robust to a few failed iterations, e.g., one missed actuation does not crash an inverted pendulum, traditional solutions based on hard real-time assumptions are often too pessimistic. Our analysis reduces this pessimism by modeling a control system\u27s inherent robustness as an (m,k)-firm specification. A case study with an active suspension workload indicates that the analytical bounds closely predict the failure rate estimates obtained through simulation, thereby enabling a meaningful design-space exploration, and also demonstrates the utility of the analysis in identifying non-trivial and non-obvious reliability tradeoffs

From Iteration to System Failure: Characterizing the FITness of Periodic Weakly-Hard Systems

Estimating metrics such as the Mean Time To Failure (MTTF) or its inverse, the Failures-In-Time (FIT), is a central problem in reliability estimation of safety-critical systems. To this end, prior work in the real-time and embedded systems community has focused on bounding the probability of failures in a single iteration of the control loop, resulting in, for example, the worst-case probability of a message transmission error due to electromagnetic interference, or an upper bound on the probability of a skipped or an incorrect actuation. However, periodic systems, which can be found at the core of most safety-critical real-time systems, are routinely designed to be robust to a single fault or to occasional failures (case in point, control applications are usually robust to a few skipped or misbehaving control loop iterations). Thus, obtaining long-run reliability metrics like MTTF and FIT from single iteration estimates by calculating the time to first fault can be quite pessimistic. Instead, overall system failures for such systems are better characterized using multi-state models such as weakly-hard constraints. In this paper, we describe and empirically evaluate three orthogonal approaches, PMC, Mart, and SAp, for the sound estimation of system\u27s MTTF, starting from a periodic stochastic model characterizing the failure in a single iteration of a periodic system, and using weakly-hard constraints as a measure of system robustness. PMC and Mart are exact analyses based on Markov chain analysis and martingale theory, respectively, whereas SAp is a sound approximation based on numerical analysis. We evaluate these techniques empirically in terms of their accuracy and numerical precision, their expressiveness for different definitions of weakly-hard constraints, and their space and time complexities, which affect their scalability and applicability in different regions of the space of weakly-hard constraints