Informal Firms Survey 2010
Bangladesh, 2010
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BGD_2010_IFS_v01_M
Informal Firms Survey 2010
| Name | Country code |
|---|---|
| Bangladesh | BGD |
Informal Sector Survey [hh/iss]
A specialized survey was designed to collect data needed for the Dimensions of Informality in Bangladesh report. The survey was conducted between March and May 2010 by Data International Ltd., and covered 1724 enterprises. The sample frame for these enterprises was the EGI Census of 55,817 firms in the randomly selected areas in urban parts of the 19 old districts. The sample was stratified by firm size (in terms of full-time employment) and broad industry (manufacturing, trade or services), and was chosen to be representative of firms with 3 to 99 full-time workers in these areas. Oversampling of firms with 10-99 full-time workers was done to ensure sufficient sample sizes of these firms, which are less prevalent than firms with fewer workers. In practice 20 percent of the final sample were actually of size 1 or 2 workers, and 2 percent had more than 100 workers – this likely reflects changes in firm size from the time of listing to the time of surveying, as well as seasonality in employment.
Sample survey data [ssd]
Firm
Scope
The survey contained detailed information on the characteristics of the firm and the owner. On the firm side, in addition to the standard balance sheet and income and expenditure data, a rich set of questions were used to obtain details on the process of formalization, the use of different business practices, and the types of information technology used by the firm. The GPS coordinates of the business were collected, and used to obtain the straight-line distance of the firm to the offices where registration for a trade license, TIN, and for VAT take place. On the owner side, in addition to standard demographic and educational information, the survey attempted to collect detail on owner characteristics which might affect the size of the business being run and the extent to which the owner formalizes.
Coverage
The sample frame for the selection of business concentrations in the ‘old’ 19 district headquarters is a subset of the list of all mahallas/paras within and adjacent to the urban areas of that district headquarter. These lists of all mahallas/paras were collected from the BBS Population Census 2001 database and updated using secondary information.
Producers and sponsors
| Name | Affiliation |
|---|---|
| David McKenzie | World Bank |
| Name |
|---|
| World Bank |
Sampling
Detailed sampling procedure document attached: The sample frame for these enterprises was the EGI Census of 55,817 firms in the randomly selected areas in urban parts of the 19 old districts. The sample was stratified by firm size (in terms of full-time employment) and broad industry (manufacturing, trade or services), and was chosen to be representative of firms with 3 to 99 full-time workers in these areas. Oversampling of firms with 10-99 full-time workers was done to ensure sufficient sample sizes of these firms, which are less prevalent than firms with fewer workers. In practice 20 percent of the final sample were actually of size 1 or 2 workers, and 2 percent had more than 100 workers – this likely reflects changes in firm size from the time of listing to the time of surveying, as well as seasonality in employment.
Refusal rate was 20%
Sample weights are provided in the data file: sampleweights.dta
Survey instrument
An English version of the questionnaire is provided as an external resource.
Data collection
| Start | End |
|---|---|
| 2010-03 | 2010-05 |
| Name |
|---|
| Data International Ltd |
Depositor information
| Name | Affiliation |
|---|---|
| DECRG: Finance & Priv Sec Devt | The World Bank |
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | Confidential information such as GPS coordinates and business names have been removed Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. |
- Public use files, accessible to all
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
Contacts
| Name | |
|---|---|
| David McKenzie | dmckenzie@worldbank.org |
Metadata production
DDI_BGD_2010_IFS_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
2015-04-13
Metadata version
Version 01 (April 2015)