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The aim of the article is to examine the impact of a job seeker’s gender, education, age on their employment odds in Poland in 2011. The research includes Polish population which was economically active and aged 15 and more in 2011 (17,951 thousand people). The research tool was a logit model. The starting point for the analysis was the construction of a model that related employment to gender only. Then other models with many explanatory variables were constructed. Since the gender related odds ratios that have been determined for the sake of those models are interpreted under the assumption that the other variables are constant, it indicates that the women’s and men’s odds ratio remains the same in urban and rural areas, on every education level and in every age group. But in reality it is not true. This is why we estimated the models that contained only one explanatory variable (gender) for individual subgroups and models with the interactions.
EN
The purpose of this paper is to test hysteresis of the Romanian labour force participation rate, by using time series data, with quarterly frequency, covering the period 1999Q1-2013Q4. The main results reveal that the Romanian labour force participation rate is a nonlinear process and has a partial unit root (i.e. it is stationary in the first regime and non-stationary in the second one), the main breaking point being registered around year 2005. In this context, the value of using unemployment rate as an indicator for capturing joblessness in this country is debatable. Starting from 2005, the participation rate has not followed long-term changes in unemployment rate, the disturbances having permanent effects on labour force participation rate.
EN
Based on the concept of Informational Cities, which are the highly developed prototypical cities of the 21st century, we conducted a regional comparison of four Japanese cities in terms of their “cityness” and “informativeness”. The purpose of our articles is to specify the theoretical framework for measuring the informativeness and cityness level of any desired city, to quantify the chosen indicators in order to compare the investigated cities, and finally, to conclude what is their advancement level in terms of a modern city of the knowledge society. Our methodology is based on a new approach to measure the position of a city in a national or a global scale, originating from information science and its indicators of the knowledge society. It includes such procedures as desktop research and bibliometrics, ethnographic field study, or grounded theory method. The investigated aspects under the notion of the informativeness level are the distinct labour market and mix of companies located in the city (concerned with creative, knowledge and information economy), as well as the progressive e-governance and advanced e-government. The notion of cityness level oscillates around the concept of space of flows in the city, including the flow of money, power, information, and human capital. In order to make our model practical and grounded on available evidence, we have chosen four Japanese cities to undergo the process. Tokyo, Yokohama, Osaka and Kyoto are big and economically significant Japanese metropolises. However, our results show that they differ from each other regarding many important aspects. We were able to quantify their performances and create a ranking. The limitation of our approach appears to be the strict quantification method that makes the cityness and informativeness levels of the cities dependent on other cities’ performances, and that does not precisely reflect the actual dimension of the differences between them. Hence, in the future work we will develop a more flexible and independent approach, enabling us to make more accurate statements on cities’ advancement unregarded the advancement level of the other metropolises.
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