Micro-Enterprise Survey 2011
Rwanda, 2011 - 2012
Get MicrodataIdentification
RWA_2011_MS_v01_M
Micro-Enterprise Survey 2011
| Name | Country code |
|---|---|
| Rwanda | RWA |
Enterprise Survey [en/oth]
An Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit. The Enterprise Surveys are conducted every three to four years across all geographic regions and cover small, medium, and large companies. Data are used to create indicators that benchmark the quality of the business and investment climate across countries.
In some countries, unregistered businesses and firms with a small number of employees make up a large part of the economy. Micro-Enterprise Surveys target registered establishments with one to four employees, while traditional Enterprise Surveys focus on businesses with five or more workers. Sampling techniques and questionnaires are the same for Micro-Enterprise and Enterprise Surveys.
Micro-Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, AIDS, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.
Sample survey data [ssd]
The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
Version
v01
2011
Scope
The scope of the study includes:
- characteristics of establishments;
- infrastructure and services;
- sales and supplies;
- degree of competition;
- capacity;
- land and permits;
- innovation;
- crime;
- finance;
- business-government relations;
- labor;
- AIDS and sickness;
- business environment;
- performance.
Coverage
Butare and Kigali City
Regions covered are selected based on the number of establishments, contribution to employment, and value added. In most cases these regions are metropolitan areas and reflect the largest centers of economic activity in a country.
The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.
Producers and sponsors
| Name |
|---|
| World Bank |
| Name |
|---|
| World Bank |
| Name | Role |
|---|---|
| TNS Opinion | Implementation of the Africa 2011 Enterprise Surveys rollout |
Sampling
The sample was selected using stratified random sampling technique. Two levels of stratification were used: firm sector and geographic region.
Industry stratification was designed in the way that follows: the universe was stratified into one manufacturing industry and one service industry. The sample design for the micro-survey targeted 170 establishments: 18 in manufacturing and 152 in services.
Regional stratification was defined in two regions: Butare and Kigali City.
The micro sample consists of firms with 1 to 4 employees. For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal, casua and part-time employment is not a common practice, except in the sectors of construction and agriculture.
The sample frame was produced by Rwanda Revenue Authority. The enumerated bussinesses with less than five employees were used as sample frame for the Rwanda Micro-Survey with the aim of obtaining interviews at 170 establishments.
The quality of the frame was assessed at the onset of the project through visits to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of noneligibility, repetition, non-existent units, etc. In addition, the sample frame contains no telephone or fax numbers so the local contractor had to screen the contacts by visiting them. Due to response rate and ineligibility issues, additional sample had to be extracted by the World Bank in order to obtain enough eligible contacts and meet the sample targets.
Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 15% (66 out of 433) for micro firms.
Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.
Item non-response was addressed by two strategies:
a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9).
b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.
Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times, days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.
The number of contacted micro establishments per realized interview was 0.34. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.18.
Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Rwanda ES 2011 Implementation" in Technical Documents.
For some units it was impossible to determine eligibility because the contact was not successfully completed. Consequently, different assumptions as to their eligibility result in different universe cells' adjustments and in different sampling weights. Three sets of assumptions were considered:
a- Strict assumption: eligible establishments are only those for which it was possible to directly determine eligibility.
b- Median assumption: eligible establishments are those for which it was possible to directly determine eligibility and those that rejected the screener questionnaire or an answering machine or fax was the only response. Median weights are used for computing indicators on the www.enterprisesurveys.org website.
c- Weak assumption: in addition to the establishments included in points a and b, all establishments for which it was not possible to finalize a contact are assumed eligible. This includes establishments with dead or out of service phone lines, establishments that never answered the phone, and establishments with incorrect addresses for which it was impossible to find a new address. Note that under the weak assumption only observed non-eligible units are excluded from universe projections.
Survey instrument
The following survey instruments are available:
- Manufacturing Module Questionnaire [ISIC Rev.3.1: 15-37]
- Services Module Questionnaire [ISIC Rev.3.1: 45, 50, 51, 52, 60, 61, 62, 63, 64 & 72]
- Screener Questionnaire.
The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth. Each version of the questionnaire is identified by the variable a0.
In the implementation of the Africa rollout 2011 an experiment was carried in some of the countries to better estimate the effects of the use of show cards in data collection. In some of the sections (i.e. Innovation) the enumerators were trained to alternatively implement the section using either show cards or asking only the questions without showing any cards. The variation is identified by the variable "cards".
Data collection
| Start | End |
|---|---|
| 2011-06 | 2012-02 |
| Name |
|---|
| OutReach Development Solutions |
Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Rwanda ES 2011 Implementation" in Technical Documents.
Private contractors conduct Micro-Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and corruption-related topics, private contractors are preferred over any government agency or an organization or institution associated with government, and are hired by the World Bank to collect the data.
The surveys are usually implemented following a two-stage procedure. In the first stage, a screener questionnaire is applied over the phone to determine eligibility and to make appointments; in the second stage, a face-to-face interview takes place with the manager, owner or director of each establishment. However, the phone numbers were unavailable in the sample frame, and thus the enumerators applied the screeners in person.
Micro-Enterprise Surveys are conducted in local languages.
Data processing
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.
All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1 (some exceptions apply due to comparability reasons). Variable names proceeded by a prefix "AF" indicate questions specific to Africa, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | Confidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised. |
Aggregate indicators based on Enterprise Survey data are available to the public at https://www.enterprisesurveys.org
Firm-level data is also available to the public free-of-charge. In order to access the firm-level data, users must agree to abide by a strict confidentiality agreement available through Enterprise Analysis Unit website by clicking on "External users register here" at http://www.enterprisesurveys.org/Portal
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. Rwanda Micro-Enterprise Survey (MS) 2011, Ref. RWA_2011_MS_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
| enterprisesurveys@worldbank.org |
Metadata production
DDI_RWA_2011_MS_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | World Bank | DDI Documentation |
2012-12-08