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Structural variables

Structural variables. Weighting the Spanish annual subsample. LFS. EPA: Encuesta de Población Activa. Quarterly Continuous Survey. Target population : People living in family dwellings. Results by province (NUTS 3). (52 provinces). LFS. EPA: Encuesta de Población Activa.

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Structural variables

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  1. Structural variables Weighting the Spanish annual subsample

  2. LFS. EPA: Encuesta de Población Activa Quarterly Continuous Survey. Target population: People living in family dwellings. Results by province (NUTS 3). (52 provinces).

  3. LFS. EPA: Encuesta de Población Activa

  4. LFS. EPA: Encuesta de Población Activa Sample design: Two-stage stratified sampling -Primary sampling units (PSU): Census Sections (Areas with 500-3000 inhabitants. About 36.000 in Spain). -Secondary sampling units (SSU): Family dwellings (18 m.) Strata.-PSU’s stratification process is performed according to the size of the municipality which the census section belongs to. A maximum of 9 strata are defined in each province (NUTS3). Sample size -65.000 dwellings, distributed among 3.800 census sections. -180.000 persons aged 16 or over

  5. LFS. EPA: Encuesta de Población Activa Every quarter, each primary sampling unit (PSU) is visited in one of the 13 weeks of the quarter. Sample households are interviewed for six consecutive quarters. Rotation groups.- A sixth part of the sample of households is renewed each quarter. To this end the sample of PSU’s is divided into six subsamples named rotation groups.

  6. LFS. EPA: Encuesta de Población Activa

  7. LFS. EPA: Encuesta de Población Activa Sample distribution The sample is evenly distributed throughout the time With this goal, next four variables have been taken into account: • Week • Province (NUTS3) and NUTS2 • Stratum • Rotation group

  8. LFS. EPA: Encuesta de Población Activa +------------------+---------------------------------------------------+ | | Week | | +---+---+---+---+---+---+---+---+---+---+---+---+---+ | |01 |02 |03 |04 |05 |06 |07 |08 |09 |10 |11 |12 |13 | +--------+---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ |Prov |Stratum | | | | | | | | | | | | | | +--------+---------+ | | | | | | | | | | | | | |29 |1 | 3| 3| 3| 2| 3| 3| 2| 2| 3| 3| 3| 3| 3| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |4 | 1| 1| 1| .| 1| 1| .| 1| .| 1| 1| 1| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |5 | 2| 1| 1| 2| 1| 1| 2| 2| 2| 1| 1| 1| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |6 | .| .| .| 1| 1| .| 1| .| 1| .| .| .| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |7 | .| 1| 1| 1| .| 1| 1| 1| .| 1| 1| 1| .| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |All | 6| 6| 6| 6| 6| 6| 6| 6| 6| 6| 6| 6| 6| +--------+---------+---+---+---+---+---+---+---+---+---+---+---+---+---+

  9. LFS. EPA: Encuesta de Población Activa +------------------+---------------------------------------------------+ | | Week | | +---+---+---+---+---+---+---+---+---+---+---+---+---+ | |01 |02 |03 |04 |05 |06 |07 |08 |09 |10 |11 |12 |13 | +--------+---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ |Prov |Rot.Group| | | | | | | | | | | | | | |29 |1 | 1| 1| 1| 1| .| 2| 1| 1| 1| 1| 1| 1| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |2 | 1| .| 1| 2| 1| 1| 1| 1| .| 2| 1| 1| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |3 | 1| 1| 1| .| 2| 1| 1| 1| 1| 1| 1| 1| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |4 | 1| 2| 1| 1| 1| .| .| 1| 2| 1| .| 2| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |5 | 1| 1| 1| 1| 1| .| 2| 1| 1| .| 2| 1| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |6 | 1| 1| 1| 1| 1| 2| 1| 1| 1| 1| 1| .| 1| | +---------+---+---+---+---+---+---+---+---+---+---+---+---+---+ | |All | 6| 6| 6| 6| 6| 6| 6| 6| 6| 6| 6| 6| 6| +--------+---------+---+---+---+---+---+---+---+---+---+---+---+---+---+

  10. +------------------+-----------------------+ | | Rot. Group | | +---+---+---+---+---+---+ | | 1 | 2 | 3 | 4 | 5 | 6 | +--------+---------+---+---+---+---+---+---+ |CPRO |ESTRATUM | | | | | | | +--------+---------+ | | | | | | |29 |1 | 6| 6| 6| 6| 6| 6| | +---------+---+---+---+---+---+---+ | |4 | 2| 2| 1| 2| 1| 2| | +---------+---+---+---+---+---+---+ | |5 | 3| 3| 3| 3| 3| 3| | +---------+---+---+---+---+---+---+ | |6 | .| 1| 1| 1| 1| 1| | +---------+---+---+---+---+---+---+ | |7 | 2| 1| 2| 1| 2| 1| | +---------+---+---+---+---+---+---+ | |All | 13| 13| 13| 13| 13| 13| +--------+---------+---+---+---+---+---+---+

  11. LFS. EPA: Encuesta de Población Activa Selection of the sample Primary Sampling Units (census sections) are selected with proportional probability to the number of family dwellings Secondary Sampling Units (dwellings): are selected with equal probability within each PSU. Systematic sampling. In this way, every sampling household in a stratum has the same probability to belong to the sample: Self-weighted sample.

  12. LFS. EPA: Encuesta de Población Activa Weights 1.- Updated Horvitz_Thompson estimator Where Ph is the population aged 16 or over by stratum in the middle of the quarter ph is the population aged 16 or over by stratum in the sample h=stratum ijk=PSU i, dwelling j, person k

  13. LFS. EPA: Encuesta de Población Activa 2.- Calibration Auxiliary variables, all of them for people aged 16 or more, by NUTS-2 Populations by five-years age and sex groups (22) Populations by nationality (Spanish- Other) Populations by province (NUTS-3) Calibration is made using the linear method of CALMAR (M=4)

  14. LFS. Annual subsample

  15. LFS. Annual subsample The annual subsample is built with four rotation groups from EPA sample, one by quarter as follows:

  16. LFS. Annual subsample Comments. Pros and cons Subsample size is large enough, because there is no overlapping between rotation groups (4/6 of LFS sample) Subsample has a good distribution along weeks of the year Subsample do not increase non response in LFS, because sample households are in their sixth and last interview Response bias may occur due to the different behavior of the rotation groups. It could be corrected through the use of auxiliary information

  17. LFS. Annual subsample Weights 1.- Before calibration Weights entering the calibration process are calculated in the same way as in the quarterly LFS. Its general expression is: Where Ph is the population aged 16 or more by stratum in the middle of the year Ph is the population aged 16 or more by stratum in the subsample h=stratum ijk=PSU i, dwelling j, person k

  18. LFS. Annual subsample Weights 2.-Calibration. COMMISSION REGULATION (EC) No 377/2008 (4) In view of the importance of data on employment and unemployment, the totals for these indicators should be consistent whether they are produced from the annual sub-sample or on the basis of an annual average of the four quarterly full samples. ANNEX. 3. Consistency of totals Consistency between annual sub-sample totals and full-sample annual averages shall be ensured for employment, unemployment and inactive population by sex and for the following age groups: 15 to 24, 25 to 34, 35 to 44, 45 to 54, 55 +.

  19. LFS. Annual subsample Weights 2.-Calibration. Auxiliary variables at national level • Employed people by sex-and age groups 16-24; 25-34; 35-44; 45-54; 55 and more(*) • Unemployed persons by sex and age groups (*) • Inactive persons by sex and age groups(*) Auxiliary variables at NUTS2 level • Employed persons • Unemployed persons • Inactive persons • Nationality (Spanish, other)

  20. LFS. Annual subsample Weights 2.-Calibration: auxiliary variables. Sample In order to make the calibration process in one step, a unique auxiliary variables vector that includes all the above variables is defined By doing so, simultaneous calibration with all auxiliary variables is assured. Population totals are obtained as the average of the LFS quarterly estimations in the year

  21. LFS. Annual subsample Weights 2.-Calibration. Procedure Households are the records of sample data file that goes into the calibration process (See excel files) Therefore, the weight for sampling households is also the common weight for all the persons aged 16 and more living in the same household So that, population and households estimates are coherent

  22. LFS. Annual subsample

  23. LFS. Annual subsample. Results

  24. LFS. Annual subsample. Results

  25. LFS. Annual subsample. Results

  26. LFS. Annual subsample. Results

  27. LFS. Annual subsample. Results

  28. LFS. Annual subsample. Results

  29. LFS. Annual subsample. Results

  30. LFS. Annual subsample. Results

  31. LFS. Annual subsample. Results

  32. LFS. Annual subsample. Results

  33. Muchas gracias

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