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Family Benefits In Member States Of The European Union: A Comparative Perspective

Vienna Esping-Andersen, G. (1990). The Three Worlds of Welfare Capitalism . Polity Press, Cambridge. Esping-Andersen, G., (1999). Social Foundations of Postindustrial Economies . Oxford University Press European Union's Mutual Information System on Social Protection (MISSOC) http://www.missoc.org/MISSOC/INFORMATIONBASE/COMPARATIVETABLES/MISSOCDATABASE/comparativeTableSearch.jsp European Commission, (2012). An overview of EAF Country Profiles . Employment, Social Affaires & Inclusion Greece, (1958). Legislative Decree (ΝΟΜΟΘΕΤΙΚΟ

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Figuring Figures: Exploring Europeans’ Knowledge of Official Economic Statistics

: http://dx.doi.org/10.4232/1.12356 . European Commission. 2015b. Europeans and Economic Statistics . Luxembourg: European Commission. European Commission. 2015c. European Economic Forecast. Spring 2015 . Luxembourg: European Commission. European Commission. 2015d. Media Use in the European Union. Standard Eurobarometer 82 . Luxembourg: European Commission. Eurostat. 2016a. About Eurostat. Overview . Available at: http://ec.europa.eu/eurostat/about/overview (accessed April 2016). Eurostat. 2016b. Glossary: Gross Domestic Product

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An Integrated Database to Measure Living Standards

and Material Deprivation . EUROSTAT, Methodologies & Working papers, European Union. Available at: https://ec.europa.eu/eurostat/documents/3888793/5857145/KS-RA-13-007-EN.PDF/37d4ffcc-e9fc-42bc-8d4f-fc89c65ff6b1 (accessed April 2015). Wolff, E.N. and A. Zacharias. 2003. The Levy Institute Measure of Economic Well-Being . The Levy Economics Institute (Working Paper n. 372). Available at: http://www.levyinstitute.org/pubs/wp/372.pdf (accessed April 2015). Wolff, E.N., A. Zacharias, T. Masterson, S. Eren, A. Sharpe, and E. Hazell. 2012. A Comparison

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Imprecise Imputation: A Nonparametric Micro Approach Reflecting the Natural Uncertainty of Statistical Matching with Categorical Data

Applications, and Alternative Bayesian Approaches . New York: Springer. Serafino, P. and R. Tonkin. 2017. “Statistical Matching of European Union Statistics on Income and Living Conditions (EU-SILC) and the Household Budget Survey.” In Eurostat: Statistical Working Papers . Luxembourg: Publications Office of the European Union. Doi: https://doi.org/10.2785/933460 . Shafer, G. 1976. A Mathematical Theory of Evidence . Princeton: Princeton University Press. Vantaggi, B. 2008. “Statistical Matching of Multiple Sources: A Look Through Coherence

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Survey-Based Cross-Country Comparisons Where Countries Vary in Sample Design: Issues and Solutions

.S., R.E. Fay, and D.H. Morgenstein. 1984. “Computing Variances from Complex Samples with Replicate Weights.” In Proceedings of the Survey Research Methods Section of the American Statistical Association. 489-494. Dorofeev, S. and Grant, P. 2006. Statistics for Real-Life Sample Surveys: Non-Simple- Random Samples and Weighted Data. Cambridge: Cambridge University Press. European Commission. 2013. Handbook on Precision Requirements and Variance Estimation for ESS Household Surveys. Luxemburg: Publications Office of the European Union

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Variance Estimation of Change in Poverty Rates: an Application to the Turkish EU-SILC Survey

References Atkinson, A.B. and E. Marlier. 2010. “Income and Living Conditions in Europe.” Publications Office of the European Union, Luxembourg. Available at: http://ec.europa.eu/eurostat/documents/3217494/5722557/KS-31-10-555-EN.PDF/e8c0a679-be01-461ca08b-7eb08a272767 (accessed April 30, 2015). Berger, Y.G. 2004. “Variance Estimation for Measures of Change in Probability Sampling.” Canadian Journal of Statistics 32: 451-467. DOI: http://dx.doi.org/10.2307/3316027. Berger, Y.G. 2008. “A Note on the Asymptotic

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A Simulation Study of Weighting Methods to Improve Labour-Force Estimates of Immigrants in Ireland

Estimation Methods in the European Union.” Luxembourg: Eurostat. Available at: http://ec.europa.eu/eurostat/ramon/statmanuals/files/KS-CR-02-001-EN.pdf (accessed 21 January 2016). Eurostat. 2013. “Employment and Unemployment (Labour Force Survey) [Ireland].” Available at: http://ec.europa.eu/eurostat/cache/metadata/EN/employ_esqrs_ie.htm (accessed May 2015). Eurostat. 2014. “Labour Force Survey in the EU, Candidate and EFTA countries – Main characteristics of national surveys, 2013.” Eurostat Methodologies and Working Paper. Luxembourg: Eurostat

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Utilising Expert Opinion to Improve the Measurement of International Migration in Europe

References Abel, G.J. (2010). Estimation of International Migration Flow Tables in Europe. Journal of the Royal Statistical Society, Series A (Statistics in Society), 173, 797-825. DOI: http://www.dx.doi.org/10.1111/j.1467-985X.2009.00636.x Bijak, J. and Wiśniowski, A. (2010). Bayesian Forecasting of Immigration to Selected European Countries by Using Expert Knowledge. Journal of the Royal Statistical Society, Series A, 173, 775-796. DOI: http://www.dx.doi.org/10.1111/j.1467.985x. 2009.00635.x Clemen

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Preface

statisticians, journalists, and designers reveal uncertainty in graphics for public consumption?” In Power from Statistics: data, information and knowledge – Outlook Report 91-102. Publications Office of the European Union. Doi: https://doi.org/10.2785/721672 . DGINS (Directeurs Généraux des Instituts Nationaux de Statistique). 2013. Scheveningen Memorandum – Big Data and Official Statistics . Adopted by the European Statistical System Committee on 27 September 2013. Available at: https://ec.europa.eu/eurostat/documents/7330775/7339365/Scheveningen-memorandum-27

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Economic Statistics: How to Become Lean and Mean?

. Luxembourg: Publication Office of the European Union. IMF and FSB 2009. The Financial Crisis and Information Gaps. Report to the G-20 Finance Ministers and Central Bank Governors . Available at: https://www.imf.org/external/np/g20/pdf/102909.pdf (accessed June 2017). Lipsey, R. 2010. “Measuring the Location of Production in a World of Intangible Productive Assets, FDI and Intrafirm Trade.” The Review of Income and Wealth , Volume 56: S99–S110. Doi: http://dx.doi.org/10.1111/j.1475-4991.2010.00385.x . OECD 2016. “Are the Irish 26.3% better off?” OECD

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