Lesotho - Enterprise Survey 2009-2016, Panel Data

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The documented dataset covers Enterprise Survey (ES) panel data collected in Lesotho in 2009 and 2016, as part of Africa Enterprise Surveys rollout, an initiative of the World Bank. The objective of the Enterprise Survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Enterprise Surveys target a sample consisting of longitudinal (panel) observations and new cross-sectional data. Panel firms are prioritized in the sample selection, comprising up to 50% of the sample in the current wave. For all panel firms, regardless of the sample, current eligibility or operating status is determined and included in panel datasets. Lesotho ES 2009 was conducted from September 2008 to February 2009, Lesotho ES 2016 was carried out in June - August 2016. Stratified random sampling was used to select the surveyed businesses. Data was collected using face-to-face interviews. Data from 301 establishments was analyzed: 90 businesses were from 2009 only, 89 - from 2016 only, and 122 firms were from 2009 and 2016. The standard 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, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively measure 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.

Type: 
Microdata
Acronym: 
ES-P 2009-16
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Lesotho
Release Date: 
May 11, 2017

Last Updated

Last Updated: 
May 11, 2017

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
9391
Reference ID: 

LSO_2009-2016_ES-P_v01_M

Version Description: 
v01, edited, anonymous dataset for public distribution The Enterprise Surveys panel datasets have the following common format: - Variable panel allows easy identification of panel observations - Variable panelid is the same across the waves for the same firm - Variable eligibility reports eligibility status of all firms interviewed in the previous wave as of the of the latest wave, e.g. in 2009-2016 panel, eligibility2016 reports status as of 2016 of all firms interviewed in 2009 - Wherever possible variables are matched across waves. If needed, matches are made by converting variable names in older waves to variable names in the most recent wave - Due to methodological changes and evolution of the survey instrument it is not possible to match all variables in the datasets - Variables that are not matched across waves are named as __, with the year in which the variable was collected (e.g. _2009_date) - It is recommended that users thoroughly familiarize themselves with the questionnaires from each of the years contained in the dataset before proceeding with analysis - Some monetary unit variables in 2002 and 2005 surveys (in U.S. currency) are converted into the local currency units (LCU) using the market, period average, exchange rates. The sources of the exchange rates are the International Financial Statistics (IFS - IMF) websites- Weights are representative of the universe for the year that the firm was interviewed. They are not panel weights.
Funding Name, Abbreviation, Role: 
World Bank; The Department for International Development
Study Type: 
Enterprise Survey
Unit of Analysis: 
The primary sampling unit of the study is an 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.
Primary Investigator Name, Affiliation: 
World Bank
Sampling Procedure: 
Two levels of stratification were used in this country: industry and establishment size. Industry stratification was designed as follows: the universe was stratified as into manufacturing and services industries - Manufacturing (ISIC Rev. 3.1 codes 15 - 37), and Services (ISIC codes 45, 50-52, 55, 60-64, and 72). For the Lesotho ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). Regional stratification did not take place for the Lesotho ES. In 2009, it was not possible to obtain a single usable frame for Lesotho. Instead frames were obtained from two government branches: the Chamber of Commerce and the Ministry of Trade, Industry, Cooperatives and Marketing. Those frames were merged and duplicates removed to provide the frame used for the survey. In 2016 ES, the sample frame consisted of listings of firms from two sources: for panel firms the list of 151 firms from the Lesotho 2009 ES was used and for fresh firms (i.e., firms not covered in 2009) firm data from Lesotho Bureau of Statistics Business Register, published in August 2015, was used.
Response Rates: 
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.
Questionnaires: 
The following survey instruments were used for Lesotho ES: - Manufacturing Module Questionnaire - Services Module 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. There is a skip pattern in the Service Module Questionnaire for questions that apply only to retail firms.
Data Editing: 
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.
Time Periods: 
August, 2017

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. Lesotho Enterprise Survey (ES-P) 2009-2016, Panel Data, Ref. LSO_2009-2016_ES-P_v01_M. Dataset downloaded from [URL] on [date].

The documented dataset covers Enterprise Survey (ES) panel data collected in Lesotho in 2009 and 2016, as part of Africa Enterprise Surveys rollout, an initiative of the World Bank. The objective of the Enterprise Survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Enterprise Surveys target a sample consisting of longitudinal (panel) observations and new cross-sectional data. Panel firms are prioritized in the sample selection, comprising up to 50% of the sample in the current wave. For all panel firms, regardless of the sample, current eligibility or operating status is determined and included in panel datasets. Lesotho ES 2009 was conducted from September 2008 to February 2009, Lesotho ES 2016 was carried out in June - August 2016. Stratified random sampling was used to select the surveyed businesses. Data was collected using face-to-face interviews. Data from 301 establishments was analyzed: 90 businesses were from 2009 only, 89 - from 2016 only, and 122 firms were from 2009 and 2016. The standard 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, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively measure 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.

FieldValue
Modified Date
2017-09-05
Release Date
Identifier
b6bc29db-5083-4d83-9b15-d4500eed5e9f
License
License Not Specified
Contact Email
Rating: 
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No votes yet
Reference ID: 
LSO_2009-2016_ES-P_v01_M
Acronym: 
ES-P 2009-16
Type: 
Languages Supported: 
Response Rates: 
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.
Time Periods: 
August, 2017
Primary Investigator Name, Affiliation: 
World Bank
Funding Name, Abbreviation, Role: 
World Bank; The Department for International Development
Version Description: 
v01, edited, anonymous dataset for public distribution The Enterprise Surveys panel datasets have the following common format: - Variable panel allows easy identification of panel observations - Variable panelid is the same across the waves for the same firm - Variable eligibility<year> reports eligibility status of all firms interviewed in the previous wave as of the <year> of the latest wave, e.g. in 2009-2016 panel, eligibility2016 reports status as of 2016 of all firms interviewed in 2009 - Wherever possible variables are matched across waves. If needed, matches are made by converting variable names in older waves to variable names in the most recent wave - Due to methodological changes and evolution of the survey instrument it is not possible to match all variables in the datasets - Variables that are not matched across waves are named as _<year>_<variable>, with the year in which the variable was collected (e.g. _2009_date) - It is recommended that users thoroughly familiarize themselves with the questionnaires from each of the years contained in the dataset before proceeding with analysis - Some monetary unit variables in 2002 and 2005 surveys (in U.S. currency) are converted into the local currency units (LCU) using the market, period average, exchange rates. The sources of the exchange rates are the International Financial Statistics (IFS - IMF) websites- Weights are representative of the universe for the year that the firm was interviewed. They are not panel weights.
Subtitle: 
Panel Data
Unit of Analysis: 
The primary sampling unit of the study is an 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.
Geographical Coverage: 
Data Classification of a Dataset: 
Sampling Procedure: 
Two levels of stratification were used in this country: industry and establishment size. Industry stratification was designed as follows: the universe was stratified as into manufacturing and services industries - Manufacturing (ISIC Rev. 3.1 codes 15 - 37), and Services (ISIC codes 45, 50-52, 55, 60-64, and 72). For the Lesotho ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). Regional stratification did not take place for the Lesotho ES. In 2009, it was not possible to obtain a single usable frame for Lesotho. Instead frames were obtained from two government branches: the Chamber of Commerce and the Ministry of Trade, Industry, Cooperatives and Marketing. Those frames were merged and duplicates removed to provide the frame used for the survey. In 2016 ES, the sample frame consisted of listings of firms from two sources: for panel firms the list of 151 firms from the Lesotho 2009 ES was used and for fresh firms (i.e., firms not covered in 2009) firm data from Lesotho Bureau of Statistics Business Register, published in August 2015, was used.
Release Date: 
Thursday, May 11, 2017
Last Updated Date: 
Thursday, May 11, 2017
Questionnaires: 
The following survey instruments were used for Lesotho ES: - Manufacturing Module Questionnaire - Services Module 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. There is a skip pattern in the Service Module Questionnaire for questions that apply only to retail firms.
Data Editing: 
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.
Harvest Source: 
Harvest System ID: 
9391
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. Lesotho Enterprise Survey (ES-P) 2009-2016, Panel Data, Ref. LSO_2009-2016_ES-P_v01_M. Dataset downloaded from [URL] on [date].
Modified date: 
17297
Study Type: 
Enterprise Survey
Primary Dataset: 
Yes
Mode of Data Collection: 

Face-to-face

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