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Production of break free time series for the Italian LFS

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Presentation on theme: "Production of break free time series for the Italian LFS"— Presentation transcript:

1 Production of break free time series for the Italian LFS
Cinzia Graziani, Silvia Loriga, Andrea Spizzichino Istat, Italian National Institute of Statistics Contact address: 13th Workshop on Labour Force Survey Methodology Reykjavik, 17th and 18th of May 2018

2 Outline History of the Italian LFS and the breaks in 1992 and 2004
Production of break free time series Available break free time series Future plans to tackle the break in the LFS in 2021 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

3 History of the Italian LFS and the breaks in 1992 and 2004
CLFS Break due to transition from quarterly to continuous: Changes concerning questionnaire, definitions, sampling design, estimation procedure, organization, data collection strategy, survey mode QLFS Break due to several changes concerning definitions, sampling design, estimation procedure, etc. QLFS The first quarter for which validated microdata and the relevant metadata are available Overlapping QLFS-CLFS 1977Q1 1992Q4 2003Q1 2004Q1 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

4 Production of break free time series
Why? For the short-term analysis: to compare last results with the previous ones to allow seasonal adjustment For the long-term analyis: to compare last results with those referred to many years ago to correctly estimate the cycle-trend 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

5 Production of break free time series
CLFS survey data 2004Q1 back-recalculation 2003Q1 2nd back-recalculation QLFS survey data overlapping 1992Q4 1st back-recalculation 1992Q3 QLFS survey data 1977Q1 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

6 Production of break free time series
General methodology: macro level model-based by components (recalculating separately cycle-trend, seasonal component and irregular ones) For the most detailed series: generalization of preserving structure estimation (SPREE) 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

7 Unemployment rate 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

8 Employed people 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

9 Part-time workers about 1 million persons
13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

10 Available break free time series
1977Q1-1992Q3 1992Q4-2003Q1 Employed, unemployed, inactive X Territory NUTS1 NUTS2 Gender Age Broad age classes 5-year age classes Highest educational level 4 classes 6 classes Employee, self-employed Economic activity 11 classes Temporary/permanent job Full-time, part-time Duration of job search Most of the break free time series are disseminated in the I.Stat datawarehouse: 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

11 Future plans to tackle the break in the LFS in 2021
Since 2018, additional questions to collect information needed to classify people according to the new operational definitions under the IESS FR (for internal use, and not influencing in any way the current definitions) preliminary (partial) assessment of the impact of the new definitions useful for past microdata treatment, if this will be considered appropriate In 2020 a pilot survey over an independent sample implementing the new operational definitions, the simplified flowcharts and the proposed model questionnaire on working time Estimation of provisional impact factors, at least for a set of important indicators and computation of the corresponding break free time series comparability of the first LFS data under the IESS FR (monthly and quarterly) with the past data seasonal adjustment of the time series and short-term analysis Estimation of final impact factors and revision and widening of the set of estimated break free time series a (very) large number of quarterly break free time series from 1977 and 1992 (and, eventually, break free microdata from 2004) revision of monthly time series (from 2004), making them consistent with the corresponding quarterly break free time series 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018

12 Thank you for your attention!!!
A teamwork… Andrea Spizzichino, Cinzia Graziani currently in charge with me of the Italian LFS time series Riccardo Gatto, Nicola Massarelli, Pietro Gennari, Alessandro Martini for the contribution they gave to Italian LFS time series back re-calculations Oriol Gisbert Martì, Ilaria Franco for their support in the latest back re-calculation on the highest level of education Thank you for your attention!!! 13th Workshop on Labour Force Survey Methodology - Reykjavik, 17th and 18th of May 2018


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