Enterprise Survey Follow-up on Covid-19 2020, Round 2
Moldova, 2020
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MDA_2020_ES-COVID19-R2_v01_M
Enterprise Survey Follow-up on Covid-19 2020, Round 2
| Name | Country code |
|---|---|
| Moldova | MDA |
The baseline ES for Moldova contains a total of 360 interviews conducted from April through November, 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. Variable COV2r1 indicates whether the firm participated in the previous round of the survey, and determines the reference period for some of the questions. Each variable in the dataset has the same reference period across respondents. Reference to last completed month in data : September/October. For more information regarding the ES follow-up surveys on COVID-19, visit https://www.enterprisesurveys.org/en/covid-19
Sample survey data [ssd]
Firms
Scope
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
Coverage
Moldova
Producers and sponsors
| Name | Affiliation |
|---|---|
| Enterprise Analysis Team - DEC Global Indicators Group. | World Bank |
| Name |
|---|
| World Bank |
Sampling
The follow-up surveys re-contact 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 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.
Survey instrument
The survey was implemented in Romanian, Russian. The questionnaire is available for download.
Data collection
| Start | End |
|---|---|
| 2020-10-26 | 2020-11-13 |
- Computer Assisted Telephone Interviews (CATI)
Depositor information
| Name |
|---|
| Enterprise Analysis Team - DEC Global Indicators Group. |
Data Access
| Name | Affiliation |
|---|---|
| Enterprise Analysis Team | Development Economics Global Indicators Group - World Bank |
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Enterprise Analysis Team - DEC Global Indicators Group. (World Bank). Moldova - Enterprise Survey Follow-up on Covid-19 2020, Round 2 (ES-COVID-19 2020). Ref: MDA_2020_ES-COVID19-R2_v01_M. Downloaded from [uri] on [date].
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Enterprise Analysis Team | Development Economics Global Indicators Group - World Bank | enterprisesurveys@worldbank.org |
Metadata production
DDI_MDA_2020_ES-COVID19-R2_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | World Bank | Documentation of the study |
2023-10-16
Metadata version
Version 01 (2023-10-16)