Informal Businesses COVID-19 Impact Survey 2021, Round 1
Zimbabwe, 2021
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ZWE_2021_ISBS-COVID19-R1_v01_M
Informal Businesses COVID-19 Impact Survey 2021
Round 1
| Name | Country code |
|---|---|
| Zimbabwe | ZWE |
Enterprise Survey [en/oth]
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.
The Zimbabwe Informal Businesses COVID-19 Impact Survey is different from the standard follow-up survey conducted by the unit in other countries, the major difference veing that this is not a follow-up survey.
Sample survey data [ssd]
Enterprise
Scope
The survey covers the following topics:
- Sales and operations
- Production
- Labor force
- Finance
- Policies and prospects
- Registration
- Information on permanently closed establishments
Coverage
National
The universe of inference is all registered establishments with five or more employees that are engaged in one of the following activities defined using ISIC Rev. 3.1: manufacturing (groupd D), construction (group F), services sector (groups G and H), transport, storage, and communcations sector (group I) and information technology (division 72 of group K)
Producers and sponsors
| Name |
|---|
| World Bank Group |
| Name |
|---|
| World Bank Group |
Sampling
The sample for the survey was selected using stratified random sampling, broadly following similar methodology explained in the ES Sampling Note. However, unlike ES that uses three levels of stratification (size, location, and sector), this survey uses two levels of stratification, namely location/region of the informal busines and the gender of the main business owner.
Stratifies random sampling was preferred over simple random sampling for several reasons:
a. To obtain unbiased estimates for different subdivisions of the population with some known level of precision
b. To obtain unbiased estimates for the whole population. The whole population, or universe of the study, is informal sector businesses operating in Zimbabwe. Informality is defined as any business that doesn't have registration from Zimbabwe Registrar of Companies.
c. To make sure that the final total sample includes establishments from different regions and from businesses owned by male and femal.
d. To exploit the benefits of stratifies sampling where population estimates, in most cases, will be more precise than using a simple random sampling method (i.e. lower standard errors, other things being equal.)
e. Stratification may produce a smaller bound on the error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are homogeneous.
f. The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.
Total sample target: 1020
37.8%
The dataset contains thee weight variables. The baseline weights are denoted wmedian_ES and are used to compute the indicator 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.
Survey instrument
The questionnaire contains the following modules:
- Control information and introduction
- General information
- Sales and operations
- Production
- Labor force
- Finance
- Policies and prospects
- Registration
- Information on permanently closed establishments
- Interview protocol
Data collection
| Start | End | Cycle |
|---|---|---|
| 2021-07-30 | 2021-09-13 | Round 1 |
| Name |
|---|
| Probe Market Research |
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Enterprise Analysis Unit | The World Bank | https://www.enterprisesurveys.org/en/covid-19 | enterprisesurveys@worldbank.org |
The use of this dataset must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online)
Example:
The World Bank. Zimbabwe Enterprise Survey Follow-up on COVID-19, Round 1 (ISBS-COVID19-R1) 2021, Ref. ZWE_2021_ISBS-COVID19-R1_v01_M. Dataset downloaded from [URL] 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 Unit | The World Bank | enterprisesurveys@worldbank.org |
Metadata production
DDI_ZWE_2021_ISBS-COVID19-R1_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | World Bank Group | Documentation of the DDI |
2021-11-19
Metadata version
Version 1 (November 2021)