Voineagu, Vergil and Caragea, Nicoleta and Pisica, Silvia and Moldoveanu, Ruxandra (2011): Methodological Proposal for Compiling the ILO Unemployment with Monthly Periodicity. Published in: Romanian Statistical Review No. 7 (2011): pp. 46-60.
Preview |
PDF
art5_en_rrs 7_2011.pdf Download (189kB) | Preview |
Abstract
Development of methodology for deriving the monthly unemployment statistics directly from the quarterly Labour Force Survey (LFS) results by econometric modeling meets the requirements of insuring the information on short-term needed for employment policies, aiming to achieve the objectives of Europe 2020. Estimated monthly data series according to the methodology allow assessment of short-term trends in unemployment measured according to the criteria of the International Labour Organisation (ILO) in terms of comparability with European statistics.
Item Type: | MPRA Paper |
---|---|
Original Title: | Methodological Proposal for Compiling the ILO Unemployment with Monthly Periodicity |
English Title: | Methodological Proposal for Compiling the ILO Unemployment with Monthly Periodicity |
Language: | English |
Keywords: | concept, definition, employment, unemployment, method, algorithm, adjustment, estimation, forecasting |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J21 - Labor Force and Employment, Size, and Structure |
Item ID: | 53207 |
Depositing User: | Nicoleta CARAGEA |
Date Deposited: | 27 Jan 2014 09:03 |
Last Modified: | 28 Sep 2019 06:25 |
References: | Brockwell, P.J. and Davis, R.A. - Introduction to Time Series and Forecasting, Second edition, 2002 Holt., C.C, Forecasting seasonals and trends by exponentially weighted moving averages - Journal of Economic and Social Measurement, 2004, ISSN 1875-8932 (Online) http://iospress.metapress.com/content/pyu1rk484x1kb1qq/ Pierse, R.G., Lecture 9: Smoothing Methods, ECO2029 Economic Forecasting http://www.shs.surrey.ac.uk/economics/rpierse/ec451/bf9.pdf European Commission Eurostat, Directorate F: Social Statistics and Information Society, Unit F-2: Labour market, working documents http://circa.europa.eu/Members/irc/dsis/employ/library?l=/&vm=detailed&sb=Title: Unemployment statistics (Doc.: Eurostat/D1/LAMAS/11/05) Harmonised monthly unemployment rates (Doc.: Eurostat/F2/LAMAS/ 07 /06) Harmonised monthly unemployment rates (Doc.: Eurostat/F2/LAMAS/ 01 /07) Monthly unemployment (Doc.: Eurostat/F2/LAMAS/ 12 /08) Feasibility study on fl ash estimates of monthly unemployment rates using EU sampling on weekly LFS samples (Doc.: Eurostat/F2/LAMAS/ 32b /08) Revised methodology for the calculation of monthly unemployment rates (Doc.: Eurostat/F2/LAMAS/ 32a /08) Institutul National de Statistică (INS) România, metadata database http://colectaredate.insse.ro/metadata/public.htm?locale=ro |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/53207 |