MDA_2020_ES-COVID19-R1_v01_M
Covid-19 Follow-up Survey 2020
Name | Country code |
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Moldova | MDA |
The baseline for Moldova contains a total of 360 interviews conducted from April 2019 through November 2019. The follow-up data can be merged with the baseline data using 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 which indicates the outcome after attempting to reach the corresponding firm. Reference to last completed month in data : April. For more information regarding COVID-19 Follow-up surveys, visit https://www.enterprisesurveys.org/en/covid-19
As part of the efforts of the World Bank to understand the impact of COVID-19 on the private sector, the Enterprise Analysis unit is conducting a series of follow-up surveys in several countries. These short surveys follow the baseline provided by a recent standard Enterprise Survey (ES) and are designed to provide quick and punctual information on the impact and adjustments Covid-19 has brought about tn the private sector.
Sample survey data [ssd]
Firms
These short surveys follow the baseline provided by a recent standard Enterprise Survey (ES) and are designed to provide quick and punctual information on the impact and adjustments Covid-19 has brought about tn the private sector
Moldova
Name | Affiliation |
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Enterprise Analysis Team - DEC Global Indicators Group. | World Bank |
Name |
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World Bank |
The sampling strategy involves re-contacting all establishments, sampled in the standard ES using stratified random sampling. The total sample target was 360. Sample Frame Source : Completed interviews in the Moldova 2019 ES. For more information on sampling methodology, see https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note.pdf
The data is representative of the universe of the baseline. The dataset contains three weights variables. The baseline weights are denoted wmedian_ES which are used to compute the indicators on the baseline. To account for non-response due to refusals in the follow-up, 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, assumes unobtainable businesses have discontinued and is used for computing indicators. Resulting variable wweak_COVID assumes unobtainable businesses continue to exist. Confirmed exits are administered a short questionnaire which is also available in the dataset. Figure 1 of the survey report reflects the outcome of attempting to complete the entire sample from the baseline.
The survey was implemented in Romanian, Russian. The questionnaire is available for download.
Start | End |
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2020-05-19 | 2020-05-29 |
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). Moldova - Covid-19 Follow-up Survey 2020 (ES-COVID-19 2020). Ref: MDA_2020_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_MDA_2020_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)