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Abstract: The study guide is designed to introduce students to the main concepts used by statisticians and economists to measure economic phenomena, while emphasizing the practical applications of these concepts in real-world scenarios. The study guide describes how the production of economic statistics is organised, who are the main data producers, what are the main databases available over the Internet and how can the quality of statistics be assessed. Thanks to this study guide, students will better understand where to find and how to use statistics on national accounts, government’s public deficit and debt, short-term economic indicators, international trade and globalisation, labour market, prices and inflation, etc.
Keywords: economic statistics, index numbers, price statistics, demographic statistics, labour force statistics, labour market statistics, short-term business indicators, national accounts, productivity analysis
Published in RUP: 13.04.2023; Views: 1507; Downloads: 43
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Abstract: The present article aims to analyse wage-labour productivity cau-salities in Croatia and Slovenia using cointegration methods basedon monthly time series data of variables for labour productivityand real gross wages in tourism industry during the periodDecember 1999%January 2020. The data vector is integrated bychain indices with the constant base January 2000%100. A sto-chastic trend and shocks are covered in the analysis. Shocks arelinked to the European Union accession, and economic crisis fol-lowing with overwhelmed tourist arrivals. The contribution of theresearch is two-fold. First, the equations for at most normal dis-tributed variables of labour productivity and real wages in tourismare exposed. Three spatial cointegration relations confirm labourproductivity integrity of the regional tourism market. Second,pair-wise causalities indicate one cointegrated vector for labourproductivity, which drives real gross wages in tourism sub-indus-tries. These results suggest that for a higher non-seasonal assess-ment of real gross wage, the labour productivity should rise, i.e.less workers, more robotization or more tourist arrivals with betterquality solutions. These findings are at most important to beimplemented after the COVID-19 infection crisis with expectedrestructurings and digital transformation in the tourism industry.
Keywords: Croatia, error correction model (ECM), real grosswage, labour productivity, Slovenia, vector error correction model (VECM)
Published in RUP: 10.12.2020; Views: 1697; Downloads: 39
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Abstract: The paper analyses the state of implementation of flexicurity policy components in the NMS and, by using panel regression analysis, estimates the relationship between flexicurity policy components (i.e., employment protection legislation, expenditures for active employment policies, participation in lifelong learning and net replacement rate) and labour productivity and long-term unemployment. The empirical analysis showed that the labour markets in the NMS are, on overall, not more rigid than the labour markets in the EU-15, however problematic remain low expenditure for active labour market policies, education and social protection and low participation in lifelong learning. NMS must, according to the results of the panel linear regression, improve their performance in mentioned areas in order to improve their labour productivity and decrease long-term unemployment.
Keywords: flexicurity, labour market, productivity, unemployment, European Union
Published in RUP: 15.10.2013; Views: 3251; Downloads: 38
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Keywords: economic efficiency, productivity, factors, labour, capital
Published in RUP: 15.10.2013; Views: 3271; Downloads: 78
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Abstract: The paper examines the issue of flexicurity in the EU Member States and studies the association between flexicurity policy components (i.e. employment protection legislation, lifelong learning programs, active and passive labour market policies) and labour and total factor productivity growth in 20 EU Member States over the 19912008 period. The empirical analysis pointed on the existence of large differences in the level of implementation of flexicurity policies across EU Member States, by which the least successful are NMS, especially with regard to active labour market and lifelong learning programs. As regards the relation between flexicurity variables and productivity growth, panel regression estimates showed that active labour market policies and participation in lifelong learning programs have a statistically significant positive association with labour and total factor productivity growth. On the other hand, rigid employment protection and high expenditures for passive labour market policies negatively relate to productivity growth.
Keywords: flexicutiry, labour market, productivity, European Union
Published in RUP: 15.10.2013; Views: 3361; Downloads: 108
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