High-Frequency Phone Survey on COVID-19 - World Bank LSMS Harmonized Dataset
Malawi, 2019 - 2021
Malawi National Statistical Office (NSO)
Created on
October 25, 2021
Last modified
October 25, 2021
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Identification
Survey ID Number
MWI_2020_HFPS_v01_M_v01_A_COVID
Title
High-Frequency Phone Survey on COVID-19 - World Bank LSMS Harmonized Dataset
Country/Economy
| Name | Country code |
|---|---|
| Malawi | MWI |
Study type
Other Household Health Survey [hh/hea]
Abstract
To facilitate the use of data collected through the high-frequency phone surveys on COVID-19, the Living Standards Measurement Study (LSMS) team has created the harmonized datafiles using two household surveys: 1) the country’ latest face-to-face survey which has become the sample frame for the phone survey, and 2) the country’s high-frequency phone survey on COVID-19.
The LSMS team has extracted and harmonized variables from these surveys, based on the harmonized definitions and ensuring the same variable names. These variables include demography as well as housing, household consumption expenditure, food security, and agriculture. Inevitably, many of the original variables are collected using questions that are asked differently. The harmonized datafiles include the best available variables with harmonized definitions.
Two harmonized datafiles are prepared for each survey. The two datafiles are:
1. HH: This datafile contains household-level variables. The information include basic household characterizes, housing, water and sanitation, asset ownership, consumption expenditure, consumption quintile, food security, livestock ownership. It also contains information on agricultural activities such as crop cultivation, use of organic and inorganic fertilizer, hired labor, use of tractor and crop sales.
2. IND: This datafile contains individual-level variables. It includes basic characteristics of individuals such as age, sex, marital status, disability status, literacy, education and work.
The LSMS team has extracted and harmonized variables from these surveys, based on the harmonized definitions and ensuring the same variable names. These variables include demography as well as housing, household consumption expenditure, food security, and agriculture. Inevitably, many of the original variables are collected using questions that are asked differently. The harmonized datafiles include the best available variables with harmonized definitions.
Two harmonized datafiles are prepared for each survey. The two datafiles are:
1. HH: This datafile contains household-level variables. The information include basic household characterizes, housing, water and sanitation, asset ownership, consumption expenditure, consumption quintile, food security, livestock ownership. It also contains information on agricultural activities such as crop cultivation, use of organic and inorganic fertilizer, hired labor, use of tractor and crop sales.
2. IND: This datafile contains individual-level variables. It includes basic characteristics of individuals such as age, sex, marital status, disability status, literacy, education and work.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Households
- Individuals
- Individuals
Version
Version Description
The World Bank LSMS Harmonized datasets includes harmonized variables, produced by the Living Standards Measurement Study team of the World Bank.
Version 01: Includes variables from Malawi - Integrated Household Panel Survey (IHPS) 2019 and Malawi - High-Frequency Phone Survey on COVID-19, Round 1 to Round 9 and Rounds 11 and 12.
Version 01: Includes variables from Malawi - Integrated Household Panel Survey (IHPS) 2019 and Malawi - High-Frequency Phone Survey on COVID-19, Round 1 to Round 9 and Rounds 11 and 12.
Scope
Notes
The scope of the harmonized files includes:
HOUSEHOLD:
- Basic household characteristics
- Housing
- Water and sanitation
- Ownership of durable assets
- Consumption expenditure (total, food, and non-food)
- Consumption quintile
- Remittance
- Food security
- Ownership of non-farm enterprise
- Agricultural activities
- Ownership of livestock
INDIVIDUAL:
- Demographic characteristics (sex, age)
- Marital status
- Disability status
- Literacy
- Education
- Work
HOUSEHOLD:
- Basic household characteristics
- Housing
- Water and sanitation
- Ownership of durable assets
- Consumption expenditure (total, food, and non-food)
- Consumption quintile
- Remittance
- Food security
- Ownership of non-farm enterprise
- Agricultural activities
- Ownership of livestock
INDIVIDUAL:
- Demographic characteristics (sex, age)
- Marital status
- Disability status
- Literacy
- Education
- Work
Coverage
Geographic Coverage
National coverage
Universe
The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Malawi National Statistical Office (NSO) | Government of Malawi |
Producers
| Name | Role |
|---|---|
| The World Bank | Collaborated in the implementation of the survey, Harmonized the dataset |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| United States Agency for International Development | USAID | Funded the study |
| Government of Malawi | Govt MWI | Funded the study |
| The World Bank | WB | Funded the study |
Sampling
Sampling Procedure
See “Malawi - Integrated Household Panel Survey 2010-2013-2016-2019 (Long-Term Panel, 102 EAs)” and “Malawi - High-Frequency Phone Survey on COVID-19” available in the Microdata Library for details.
Response Rate
See “Malawi - Integrated Household Panel Survey 2010-2013-2016-2019 (Long-Term Panel, 102 EAs)” and “Malawi - High-Frequency Phone Survey on COVID-19” available in the Microdata Library for details.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2019-04 | 2019-11 | Round 0 |
| 2020-05-26 | 2020-06-14 | (Baseline) Round 1 |
| 2020-07-02 | 2020-07-20 | Round 2 |
| 2020-08-12 | 2020-08-27 | Round 3 |
| 2020-09-12 | 2020-10-01 | Round 4 |
| 2020-10-29 | 2020-11-16 | Round 5 |
| 2020-12-10 | 2020-12-29 | Round 6 |
| 2021-01-20 | 2021-02-06 | Round 7 |
| 2021-02-23 | 2021-03-15 | Round 8 |
| 2021-04-07 | 2021-04-23 | Round 9 |
| 2021-05-26 | 2021-06-09 | Round 11 |
| 2021-06-14 | 2021-06-30 | Round 12 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Processing
Data Editing
Malawi Integrated Household Panel Survey (IHPS) 2019 and Malawi High-Frequency Phone Survey on COVID-19 data were harmonized following the harmonization guidelines (see “Harmonized Datafiles and Variables for High-Frequency Phone Surveys on COVID-19” for more details).
The high-frequency phone survey on COVID-19 has multiple rounds of data collection. When variables are extracted from multiple rounds of the survey, the originating round of the survey is noted with “_rX” in the variable name, where X represents the number of the round. For example, a variable with “_r3” presents that the variable was extracted from Round 3 of the high-frequency phone survey. Round 0 refers to the country’s latest face-to-face survey which has become the sample frame for the high-frequency phone surveys on COVID-19. When the variables are without “_rX”, they were extracted from Round 0.
The high-frequency phone survey on COVID-19 has multiple rounds of data collection. When variables are extracted from multiple rounds of the survey, the originating round of the survey is noted with “_rX” in the variable name, where X represents the number of the round. For example, a variable with “_r3” presents that the variable was extracted from Round 3 of the high-frequency phone survey. Round 0 refers to the country’s latest face-to-face survey which has become the sample frame for the high-frequency phone surveys on COVID-19. When the variables are without “_rX”, they were extracted from Round 0.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| LSMS Data Manager | The World Bank | lsms@worldbank.org |
Access conditions
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.
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.
Citation requirements
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
Example: Malawi National Statistical Office (NSO). High-Frequency Phone Survey on COVID-19 – World Bank LSMS Harmonized Dataset. Dataset downloaded from [URL] on [date]
- 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
Example: Malawi National Statistical Office (NSO). High-Frequency Phone Survey on COVID-19 – World Bank LSMS Harmonized Dataset. Dataset downloaded from [URL] on [date]
Disclaimer and copyrights
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.
Metadata production
DDI Document ID
DDI_MWI_2020_HFPS_v01_M_v01_A_COVID
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2021-10-22
DDI Document version
Version 01 (October 2021). Metadata for harmonized datasets.