National Repository of Grey Literature 90 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Consequences of low unemployment for social work in the Rychnov nad Kneznou region
Žid, Marek ; Krahulcová, Beáta (advisor) ; Nová, Monika (referee)
1 Abstrakt Diploma thesis "Consequences of low unemployment for social work in the Rychnov nad Kneznou region" concerns about negative consequences of low unemployment on the citizens of the Rychnov nad Kneznou region, especially about impact on traffic and social infrastructure and criminality. The first chapter is given to unemployment overall and to statistics of unemployment in the Czech Republic. The second one brings statistic view of demography and regional unemployment in Rychnov nad Kneznou. The third chapter is focused on foreigners and their statistics in terms of the Czech Republic and the Rychnov nad Kneznou region. In the fourth chapter are described particular negative results caused by low unemployment in this region. The last final chapter contains the practical part where is done examination of citizens' opinions in three chosen microregions about this matters. This examination was done by survey and its result is statement that citizens in the center of happening does not think the situation is as bad as the citizens in other two microregions (which are quite isolated from the core of issues by distance) think it is.
Obce Plzeňského kraje v roce 2016
Krajská správa Českého statistického úřadu v Plzni
Publikace obsahuje dostupná statistická data za obce Plzeňského kraje. Údaje jsou zpracovány za tyto úseky: výměra půdy, demografie, trh práce, organizační statistika a bytová výstavba zpravidla v časové řadě 2008 až 2016. Kromě zdrojů Českého statistického úřadu jsou využita data Ministerstva práce a sociálních věcí a Českého zeměměřického a katastrálního úřadu. Publikace je doplněna abecedním seznamem a číselníkem obcí, částí obcí a územně technických jednotek.
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Labor Market in Regional Comparison - 2014
Český statistický úřad
Statistická data z výběrového šetření pracovních sil v krajích ČR. Přináší informace o výši a struktuře zaměstnanosti, nezaměstnanosti a ekonomicky neaktivním obyvatelstvu hodnocené podle mezinárodních definic a doporučení Mezinárodní organizace práce.
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Labor market (regional comparison) - 2016
Český statistický úřad
Statistická data z výběrového šetření pracovních sil v krajích ČR. Přináší informace o výši a struktuře zaměstnanosti, nezaměstnanosti a ekonomicky neaktivním obyvatelstvu hodnocené podle mezinárodních definic a doporučení Mezinárodní organizace práce.
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Quarterly LFS analysis on topic of the day - 2nd quarter of 2017: Did Czech Republic Reach Full Employment?
Odehnalová Květa ; Holý Dalibor
Analysis to the NR according to the results of the Labour Force Sample Survey.
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On the limits of labour mobility within the EU
Jelínek, Martin ; Strielkowski, Wadim (advisor) ; Turnovec, František (referee)
This Master thesis deals with labour mobility and aims to uncover the main drivers influencing the flows of workers within the European Union (EU). It first provides an extensive overview of labour market, labour mobility and legal framework in the EU. Then it discusses several theories and models dealing with labour mobility. The main part of this thesis consists in empirical analysis of labour flows within EU-25 countries. This analysis is meant to provide statistical evidence of relevant mobility drivers. Contrarily to similar works, this thesis takes into account not only economic and financial factors, but also social, psychological, linguistic and other non-tangible factors that might play important role in determining the labour flows within the EU. The thesis further focuses on specific mobility incentives of the Old and the New Member States. Based on results of the empirical model and the regression analysis, the thesis concludes by discussing the limits of labour mobility and suggesting a remedy aimed at enhancing it.
The world turned upside down
Nettwallová, Dominika ; Cahlík, Tomáš (advisor) ; Krištoufek, Ladislav (referee)
1 Bibliographic record NETTWALLOVÁ, Dominika. The World Turned Upside Down. Prague, 2013. 56 pg. Bachelor thesis (Bc.) Charles University in Prague, Faculty of Social Sciences, Institute of Economic studies. Supervisor: doc. Ing. Tomáš Cahlík, CSc. Abstract This bachelor thesis is dedicated to China and to the determinants of its GDP growth. During 20th century, this formerly developing country has earned a place among economic giants. The following report, quietly admiring such achievement, is focused on analysis of individual growth factors and causes of their development; and followed by quantitative estimation of their size. The main topic, then, is a triad of factors - R&D, education and human capital - projected on the Chinese economy via several chosen econometric methods. JEL Classification C33, I25, J01, O15, O32, O40, O53 Keywords China, economic growth, R&D, labour force, education, panel data analysis Author's e-mail d.nettwall@gmail.com Supervisor's e-mail cahlik@fsv.cuni.cz
Poor health and early exit from labour force: an analysis using data from Survey of Health, Aging and Retirement in Europe
Hausenblas, Václav ; Pertold, Filip (advisor) ; Maďarová, Henrieta (referee)
Poor health and early exit from labour force: an analysis using data from Survey of Health, Ageing and Retirement in Europe Václav Hausenblas May 12, 2011 Abstract Health is considered to be one the main determinants of retirement decision. A majority of empirical studies implements health using self- perceived health status measures. According to the justification hypoth- esis such a method may introduce a bias into estimation, and moreover, this bias may vary from country to country. The aim of this thesis is to make use of a dataset rich in objective measures of health from the second wave of Survey of Health, Aging and Retirement in Europe and to put side by side the estimates based on subjective measures as well as IV estimates using more objective variables and thereby to assess the mag- nitude of possible endogeneity and measurement error. It applies these identification methods on the model of early exit from labour force and discusses gender differences and specifics of given EU countries. 1

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