Identification
Survey ID number
RUS_2020_ES-COVID19-R1_v01_M
Title
Enterprise Survey Follow-up on Covid-19 2020
Country/Economy
| Name |
Country code |
|
Russian Federation |
RUS |
Series Information
The baseline ES for the Russian Federation contains a total of 1,323 interviews conducted from January through July, 2019. The follow-up data can be merged with the baseline data set using the variable idstd. The follow-up surveys re-contact all establishments sampled in the standard ES. The dataset contains all observations from the standard ES with the variable eligibilitycode indicating the outcome after attempting to reach the corresponding firm. Reference to last completed month in data : May. For more information regarding the ES follow-up surveys on COVID-19, visit: https://www.enterprisesurveys.org/en/covid-19
Abstract
As part of the efforts of the World Bank Group to understand the impact of COVID-19 on the private sector, the Enterprise Analysis unit is conducting follow-up surveys on recently completed Enterprise Surveys (ES) in several countries. These short surveys follow the baseline ES and are designed to provide quick information on the impact and adjustments that COVID-19 has brought about in the private sector.
Kind of Data
Sample survey data [ssd]
Sampling
Sampling Procedure
The follow-up surveys re-contact all establishments sampled in the standard ES using stratified random sampling. The total sample target was 1,323. Sample Frame Source : Completed interviews in the Russian Federation 2019 ES. For more information on sampling methodology, see https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note.pdf
Weighting
The dataset contains three weight variables. The baseline weights are denoted wmedian_ES and are used to compute the indicators that project to the baseline Universe (e.g. exit rates). To account for non-response in the follow-up, these sampling weights are adjusted by cell of stratification (combination of size, sector, and location). The resulting variable wmedian_COVID— recommended to be used for analysis and used to compute all other indicators — assumes that businesses that could not be re-contacted (unobtainable) have exited the market. The variable wweak_COVID assumes that unobtainable businesses continue to exist. Establishments that have closed permanently are interviewed using a short questionnaire which is also available in the dataset. Figure 1 of the survey report reflects the outcome of attempting to re-contact the entire sample from the baseline ES.
