MNE_2021_ES-COVID19-R1_v01_M
Enterprise Survey Follow-up on Covid-19 2021, Round 1
Name | Country code |
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Montenegro | MNE |
The baseline ES for Montenegro contains a total of 150 interviews conducted from January and 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 : January. For more information regarding the ES follow-up surveys on COVID-19, visit: https://www.enterprisesurveys.org/en/covid-19
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.
Sample survey data [ssd]
Firms
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
Montenegro
Name | Affiliation |
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Enterprise Analysis Team - DEC Global Indicators Group. | World Bank |
Name |
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World Bank |
The follow-up surveys re-contact all establishments sampled in the standard ES using stratified random sampling. The total sample target was 150. Sample Frame Source : Completed interviews in the Montenegro 2019 ES. For more information on sampling methodology, see https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note.pdf
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.
The survey was implemented in Montenegrin. The questionnaire is available for download.
Start | End |
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2021-02-02 | 2021-02-16 |
Name |
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Enterprise Analysis Team - DEC Global Indicators Group. |
Name | Affiliation |
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Enterprise Analysis Team | Development Economics Global Indicators Group - World Bank |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Enterprise Analysis Team - DEC Global Indicators Group. (World Bank). Montenegro - Enterprise Survey Follow-up on Covid-19 2021, Round 1 (ES-COVID-19 2021). Ref: MNE_2021_ES-COVID19-R1_v01_M. Downloaded from [uri] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
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Enterprise Analysis Team | Development Economics Global Indicators Group - World Bank | enterprisesurveys@worldbank.org |
DDI_MNE_2021_ES-COVID19-R1_v01_M_WB
Name | Affiliation | Role |
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Development Data Group | World Bank | Documentation of the study |
2023-10-16
Version 01 (2023-10-16)