The Experts below are selected from a list of 29439 Experts worldwide ranked by ideXlab platform
Claudia Vilches - One of the best experts on this subject based on the ideXlab platform.
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Biblioguias: Eurostat microdata: Eurostat datasets
2018Co-Authors: Claudia VilchesAbstract:This Libguide presents a summary of the most relevant aspects of Eurostat’s guidelines, rules and regulations on access to microdata for research purposes. This guide has been developed by the Hernan Santa Cruz Library for ECLAC Santiago researchers.
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Biblioguias: Eurostat microdata: What is Eurostat?
2018Co-Authors: Claudia VilchesAbstract:This Libguide presents a summary of the most relevant aspects of Eurostat’s guidelines, rules and regulations on access to microdata for research purposes. This guide has been developed by the Hernan Santa Cruz Library for ECLAC Santiago researchers.
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Biblioguias: Eurostat microdata: About Eurostat and microdata access
2018Co-Authors: Claudia VilchesAbstract:This Libguide presents a summary of the most relevant aspects of Eurostat’s guidelines, rules and regulations on access to microdata for research purposes. This guide has been developed by the Hernan Santa Cruz Library for ECLAC Santiago researchers.
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Biblioguias: Eurostat microdata: Background
2018Co-Authors: Claudia VilchesAbstract:This Libguide presents a summary of the most relevant aspects of Eurostat’s guidelines, rules and regulations on access to microdata for research purposes. This guide has been developed by the Hernan Santa Cruz Library for ECLAC Santiago researchers.
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Biblioguias: Eurostat microdata: ECLAC Status
2018Co-Authors: Claudia VilchesAbstract:This Libguide presents a summary of the most relevant aspects of Eurostat’s guidelines, rules and regulations on access to microdata for research purposes. This guide has been developed by the Hernan Santa Cruz Library for ECLAC Santiago researchers.
Helen Slaney - One of the best experts on this subject based on the ideXlab platform.
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UIC attended the Eurostat meeting on Rail Transport Statistics from 9 – 10 September 2019 in Luxembourg – UIC Communications
2020Co-Authors: Helen SlaneyAbstract:The working group meeting on Rail Transport Statistics from Eurostat, chaired by Christian Goedert, head of Unit E3 – Transport, was held in Luxembourg from 9 – 10 September 2019. Roman Sterba…
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uic attended the Eurostat meeting on rail transport statistics from 9 10 september 2019 in luxembourg uic communications
2020Co-Authors: Helen SlaneyAbstract:The working group meeting on Rail Transport Statistics from Eurostat, chaired by Christian Goedert, head of Unit E3 – Transport, was held in Luxembourg from 9 – 10 September 2019. Roman Sterba…
Mark Hallerberg - One of the best experts on this subject based on the ideXlab platform.
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Interpreting Fiscal Accounting Rules in the European Union
Journal of European Public Policy, 2017Co-Authors: Christopher Gandrud, Mark HallerbergAbstract:ABSTRACTIn the European Union, the creation of public debt statistics starts with member state governments’ reports. The EU’s statistical agency – Eurostat – then revises. How do these actors’ incentives shape reported numbers? Governments have incentives to take a more favourable view of often ambiguous accounting rules than Eurostat. Lower debt improves governments’ performance with domestic and external audiences. Eurostat is tasked with monitoring budgets for ‘excessive’ debts. We expect governments to present debt figures that Eurostat then revises upwards. This is more likely when governments have high debts, especially when in the eurozone, and prior to elections. Financial crises heighten the number of policies needing interpretation and both actors have more incentives to shape the numbers. We examine these propositions using Eurostat’s debt revisions. We find debts are revised upwards more for eurozone countries with higher debt levels and years with unscheduled elections. Financial stress stren...
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Interpreting Fiscal Accounting Rules in the European Union
2016Co-Authors: Christopher Gandrud, Mark HallerbergAbstract:In the European Union, the creation of public debt statistics starts with member state governments’ reports. The EU’s statistical agency-Eurostat-then revises. How do these actors’ incentives shape reported numbers? Governments have incentives to take a more favourable view of often ambiguous accounting rules than Eurostat. Lower debt improves governments’ performance with domestic and external audiences. Eurostat is tasked with monitoring budgets for ‘excessive’ debts. We expect governments to present debt figures that Eurostat then revises upwards. This is more likely when governments have high debts, especially when in the eurozone, and prior to elections. Financial crises heighten the number of policies needing interpretation and both actors have more incentives to shape the numbers. We examine these propositions using Eurostat’s debt revisions. We find debts are revised upwards more for eurozone countries with higher debt levels and years with unscheduled elections. Financial stress strengthens these effects.
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Statistical Agencies and Responses to Financial Crises: Eurostat, Bad Banks, and the ESM
West European Politics, 2016Co-Authors: Christopher Gandrud, Mark HallerbergAbstract:AbstractThis article demonstrates the important role that the European statistical agency – Eurostat – plays in shaping tools for responding to banking crises. From 2009, Eurostat used its position as the interpreter of member state budget statistical rules to implement increasingly stringent rules for how financial crisis responses would affect public budgets. Rather than mere technical details, these rules affected crisis responses. Elected politicians, and especially those under bailout programmes, have strong incentives to minimise the direct budgetary effects of aiding failing financial institutions. By establishing and enforcing new rules about which crisis responses directly hit member state budgets and which did not, Eurostat created incentives to choose certain policies. The article explores this process by examining the creation of bad banks and the European Stability Mechanism. It makes an original contribution to both the study of the European banking union and the general role that statistica...
Giuseppe Ioppolo - One of the best experts on this subject based on the ideXlab platform.
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The study of relationship in a hierarchical structure of EU sustainable development indicators
Ecological Indicators, 2018Co-Authors: Katarzyna Szopik-depczyńska, Katarzyna Cheba, Iwona Bąk, Maciej Stajniak, Alberto Simboli, Giuseppe IoppoloAbstract:Abstract Until recently, the sustainable development indicators published by Eurostat were divided into 10 thematic areas. Currently apart of this division, the new indicators system divided into 17 objectives of the Sustainable Development Strategy according The 2030 Agenda for Sustainable Development has been published. The analyses presented in this paper are concentrated on the previous system of division of sustainable development indicators. The indicators in this database are divided into 3 levels reflecting their hierarchy: headline, operational and explanatory level of indicators. The purpose of the paper is a comparative analysis of relationship between the results achieved by individual EU Member States based on hierarchical structure of indicators published by Eurostat. Such a way of analysing sustainable development indicators has not been yet practiced in the literature in this field. The value added of the paper to the current state of knowledge in this field is the opportunity not only to determine, for example, the position occupied by individual Member States within individual areas of sustainable development monitored by Eurostat, but also to analyse interrelationships occurring within particular levels of monitoring of the Sustainable Development Strategy. According to the results of the research, differences in the ranking of EU Member States on the consecutive levels of monitoring the sustainable development strategy for different areas can be observed. In line with the hierarchical method of presenting the sustainable development indicators adopted by Eurostat, state rankings were prepared for each selected indicators aggregation level. For this purpose, a taxonomic measure of development based on Weber median vector was used. The results obtained clearly present the relatively low level of correlation between the results obtained by individual EU Member States on the subsequent levels of monitoring the implementation of EU strategy. This way of hierarchical analysis can be also used in the analysis based on indicators elaborated for The 2030 Agenda for Sustainable Development.
Martin Mckee - One of the best experts on this subject based on the ideXlab platform.
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data resource profile the european union statistics on income and living conditions eu silc
International Journal of Epidemiology, 2015Co-Authors: Vishal S Arora, Amy Clair, Aaron Reeves, Marina Karanikolos, David Stuckler, Martin MckeeAbstract:: Social and economic policies are inextricably linked with population health outcomes in Europe, yet few datasets are able to fully explore and compare this relationship across European countries. The European Union Statistics on Income and Living Conditions (EU-SILC) survey aims to address this gap using microdata on income, living conditions and health. EU-SILC contains both cross-sectional and longitudinal elements, with nationally representative samples of individuals 16 years and older in 28 European Union member states as well as Iceland, Norway and Switzerland. Data collection began in 2003 in Belgium, Denmark, Ireland, Greece, Luxembourg and Austria, with subsequent expansion across Europe. By 2011, all 28 EU member states, plus three others, were included in the dataset. Although EU-SILC is administered by Eurostat, the data are output-harmonized so that countries are required to collect specified data items but are free to determine sampling strategies for data collection purposes. EU-SILC covers approximately 500,000 European residents for its cross-sectional survey annually. Whereas aggregated data from EU-SILC are publicly available [http://ec.europa.eu/Eurostat/web/income-and-living-conditions/data/main-tables], microdata are only available to research organizations subject to approval by Eurostat. Please refer to [http://epp.Eurostat.ec.europa.eu/portal/page/portal/microdata/eu_silc] for further information regarding microdata access.
