Mozambique - Informal Business Sector Survey 2018

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The 2018 Mozambique Informal Sector Business Survey (ISBS) data was collected by the World Bank Group - Enterprise Analysis Unit. The survey covers three cities, Beira, Maputo and Nampula. The primary objectives of the survey are: i) to understand the business demographics of the sector in the two cities, and ii) to describe the environment within which these businesses operate. A secondary objective of the survey is to provide an estimate of the number of informal businesses operating in these cities.

Type: 
Microdata
Acronym: 
ISBS 2018
Languages Supported: 
English
Topics: 
Topic not specified
Tags: 
Geographical Coverage: 
Mozambique
Economy Coverage: 
Economy Coverage not specified
Release Date: 
February 6, 2020

Last Updated

Last Updated: 
February 6, 2020

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
10919
Disclaimer: 
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.
Version Description: 
Version 01 (February 2020)
Publisher Name: 

Development Economics Data Group; The World Bank Group

Funding Name, Abbreviation, Role: 
World Bank Group
Study Type: 
Informal Sector Survey [hh/iss]
Universe: 
The universe includes informal businesses, where informality is defined based on whether or not a business is formally registered with the government.
Primary Investigator Name, Affiliation: 
World Bank Group (WBG)
Sampling Procedure: 
The 2018 Mozambique ISBS uses an innovative technique to survey these businesses. The survey follows an area-based sampling methodology with geographic area rather than an establishment or a business unit as a primary sampling unit. To account for potential clustering of informal business, the survey uses an area-based sampling called (stratified) Adaptive Cluster Sampling (ACS), whereby one selects a sample of starting squares and adaptively samples surrounding squares based on the number of informal firms discovered in the enumerated squares. All informal business in selected squares will be enumerated using a 2 to 3-minutes questionnaire, referred to in this document as the short-form questionnaire. The short form questionnaire is a listing questionnaire where basic information about the business is collected. A randomly selected subset of the enumerated businesses will be given a 20-minutes questionnaire, referred to in this document as the long-form questionnaire. The survey is adaptive in the sense that if the number of informal units in a square exceeds a predefined threshold, all the squares surrounding the starting square are surveyed, following the same approach of enumeration and randomly conducting the main interview. If one of the surrounding squares exceed the threshold, then the squares surrounding that square in turn are also surveyed. This process continues until either the network is exhausted, or an arbitrary cut-off point is defined. The first step in the sampling approach is the construction of a spatial grid as the Primary Sampling Units (PSU) frame. The grid covered the total of municipal areas and each cell had a size of 150 by 150 meters. This produced a total of about 24,000 squares between the three cities, excluding squares that are considered inaccessible. The second step was to stratify each grid, with in each city, based on likely concentration of informal business units. The grids were categorized into four strata: three strata of low, medium, and high concentration of informal sector activity, and a market centre. The stratification was based on local knowledge of the survey implementing contractor with approval from the WBG task team leader. The third step in the sampling process was to select a pre-defined number of starting squares from each stratum for enumeration and main data collection.
Weighting: 
To estimate population parameters, weights are applied to survey samples. In surveys design following standard random sampling, selection probability of all units is known before the actual data collection. Hence, weights can be derived as the inverse of selection probability. Computation of sampling weights is a bit involved for Adaptive cluster sampling since final sample size is not known apriori. In ACS, selection probabilities are not known a priori since units are adaptively added to the sample depending on the number of informal units found in a square. In adaptive sampling, one instead talks about empirically derived inclusion probabilities. Note: Refer to Sampling Weight section in "The 2018 Mozambique Informal Sector Business Survey Dataset" document for further details on sampling weight.
Questionnaires: 
The survey data was collected using a standardized questionnaire, i.e., the long-form questionnaire. The questionnaire was developed building on previous modules used by the Enterprise Analysis Unit of the World Bank to survey informal businesses.
Data Collector(s) Name: 
Probe Market Research
Other Processing: 
The 2018 Mozambique Informal Sector Business Survey covered the following topics: - General information - Location and infrastructure - Crime - Sales and supplies - Business practices - Finance - Labor - Registration - Assets

No Visualizations Available.

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. Mozambique - Informal Sector Business Survey 2018, Ref. MOZ_2018_ISBS_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].

The 2018 Mozambique Informal Sector Business Survey (ISBS) data was collected by the World Bank Group - Enterprise Analysis Unit. The survey covers three cities, Beira, Maputo and Nampula. The primary objectives of the survey are: i) to understand the business demographics of the sector in the two cities, and ii) to describe the environment within which these businesses operate. A secondary objective of the survey is to provide an estimate of the number of informal businesses operating in these cities.

FieldValue
Modified Date
2020-02-12
Release Date
Identifier
bdbb606b-d528-4386-97d0-c2d48163a49e
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Acronym: 
ISBS 2018
Type: 
Languages Supported: 
Disclaimer: 
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.
Weighting: 
To estimate population parameters, weights are applied to survey samples. In surveys design following standard random sampling, selection probability of all units is known before the actual data collection. Hence, weights can be derived as the inverse of selection probability. Computation of sampling weights is a bit involved for Adaptive cluster sampling since final sample size is not known apriori. In ACS, selection probabilities are not known a priori since units are adaptively added to the sample depending on the number of informal units found in a square. In adaptive sampling, one instead talks about empirically derived inclusion probabilities. Note: Refer to Sampling Weight section in "The 2018 Mozambique Informal Sector Business Survey Dataset" document for further details on sampling weight.
Data Collector(s) Name: 
Probe Market Research
Economy Coverage: 
Primary Investigator Name, Affiliation: 
World Bank Group (WBG)
Funding Name, Abbreviation, Role: 
World Bank Group
Publisher Name: 
Development Economics Data Group; The World Bank Group
Version Description: 
Version 01 (February 2020)
Universe: 
The universe includes informal businesses, where informality is defined based on whether or not a business is formally registered with the government.
Geographical Coverage: 
Data Classification of a Dataset: 
Sampling Procedure: 
The 2018 Mozambique ISBS uses an innovative technique to survey these businesses. The survey follows an area-based sampling methodology with geographic area rather than an establishment or a business unit as a primary sampling unit. To account for potential clustering of informal business, the survey uses an area-based sampling called (stratified) Adaptive Cluster Sampling (ACS), whereby one selects a sample of starting squares and adaptively samples surrounding squares based on the number of informal firms discovered in the enumerated squares. All informal business in selected squares will be enumerated using a 2 to 3-minutes questionnaire, referred to in this document as the short-form questionnaire. The short form questionnaire is a listing questionnaire where basic information about the business is collected. A randomly selected subset of the enumerated businesses will be given a 20-minutes questionnaire, referred to in this document as the long-form questionnaire. The survey is adaptive in the sense that if the number of informal units in a square exceeds a predefined threshold, all the squares surrounding the starting square are surveyed, following the same approach of enumeration and randomly conducting the main interview. If one of the surrounding squares exceed the threshold, then the squares surrounding that square in turn are also surveyed. This process continues until either the network is exhausted, or an arbitrary cut-off point is defined. The first step in the sampling approach is the construction of a spatial grid as the Primary Sampling Units (PSU) frame. The grid covered the total of municipal areas and each cell had a size of 150 by 150 meters. This produced a total of about 24,000 squares between the three cities, excluding squares that are considered inaccessible. The second step was to stratify each grid, with in each city, based on likely concentration of informal business units. The grids were categorized into four strata: three strata of low, medium, and high concentration of informal sector activity, and a market centre. The stratification was based on local knowledge of the survey implementing contractor with approval from the WBG task team leader. The third step in the sampling process was to select a pre-defined number of starting squares from each stratum for enumeration and main data collection.
Release Date: 
Thursday, February 6, 2020
Last Updated Date: 
Thursday, February 6, 2020
Questionnaires: 
The survey data was collected using a standardized questionnaire, i.e., the long-form questionnaire. The questionnaire was developed building on previous modules used by the Enterprise Analysis Unit of the World Bank to survey informal businesses.
Other Processing: 
The 2018 Mozambique Informal Sector Business Survey covered the following topics: - General information - Location and infrastructure - Crime - Sales and supplies - Business practices - Finance - Labor - Registration - Assets
Harvest Source: 
Harvest System ID: 
10919
Citation Text: 
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. Mozambique - Informal Sector Business Survey 2018, Ref. MOZ_2018_ISBS_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].
Modified date: 
18298
Study Type: 
Informal Sector Survey [hh/iss]
Primary Dataset: 
Yes

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