Estimation of Employment for Cities, Towns and Rural Districts. Workshop of BNU Network on Survey Statistics Tallinn, August 25 – 28, 2014. Olha Lysa Ptoukha Institute for Demography and Social Studies, National Academy of Science of Ukraine Kyiv, Ukraine. Task.
Estimation of Employment for Cities, Towns and Rural Districts
Workshop of BNU Network on Survey Statistics
Tallinn, August 25 – 28, 2014
PtoukhaInstitute for Demography and Social Studies,
National Academy of Science of Ukraine
To estimate the employment rate for cities, towns and rural districts (administrative territorial units - ATU) of Ukraine based on the annual LFS dataset
I. Direct estimation
– composite estimate;
– direct estimate;
– weighting coefficient
1) Gender: M– male;
2) Type of area:
3) Age grope:
A_2 –25–29 years old;
A_3 –30–34 years old;
A_4– 35–39 years old;
A_5 –40–44 years old;
A_6 –45–49 years old;
A_7 –50–54 years old;
A_8 –55–59 years old;
A_9– 60–69 years old.
Composition between regression and direct estimates:
– composite estimate for ATU;
– composite estimate based on microlevel model for ATU;
– direct estimate for region what includes the estimated ATU;
– composite estimate for ATU from previous survey(year);
– weighting coefficients
Proposed approach based on multilevel composite two-stage estimation.
Results of implementation in a simulation show improvement in accuracy of employment rate estimates for the cities, towns and rural districts. The RRMSE of estimates of ATUs was reduced by 45% on average.
Using a microlevel model decreases variation between estimates of employment rate in ATUs
We can obtain estimates for ATUs that are not in the sample.
Ptoukha Institute for Demography and Social Studies
National Academy of Sciences of Ukraine