High Frequency Phone Survey on COVID-19 2020, Round 1
Papua New Guinea, 2020
World Bank
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May 09, 2021
Last modified
May 09, 2021
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Identification
Survey ID Number
SPC_PNG_2020_HFPS-W1_v01_M_v01_A_PUF
Title
High Frequency Phone Survey on COVID-19 2020, Round 1
Subtitle
Round 1
Country
| Name | Country code |
|---|---|
| Papua New Guinea | PNG |
Study type
Other Household Survey [hh/oth]
Series Information
The World Bank is providing support to countries to help mitigate the spread and impact of the new corona-virus disease (COVID-19). One area of support is for data collection to inform evidence-based policies that may help mitigate the effects of this disease.
To monitor the socio-economic impacts of COVID-19 in Papua New Guinea, five rounds of High Frequency Phone Survey on COVID-19 (HFPS) are planned. The documented dataset refers to the very first round of the HFPS of Papua New Guinea.
To monitor the socio-economic impacts of COVID-19 in Papua New Guinea, five rounds of High Frequency Phone Survey on COVID-19 (HFPS) are planned. The documented dataset refers to the very first round of the HFPS of Papua New Guinea.
Abstract
The novel coronavirus COVID-19 pandemic is an unprecedented crisis globally. Under the slowdown in economic activity due to the protective measures enacted by governments around the world, global GDP is expected to contract by 5.2 percent, with per capita incomes in most emerging and developing countries forecast to shrink; potentially pushing many millions into poverty and deepening deprivation. In Papua New Guinea, the socio-economic impacts of these measures are coumpeded by geographic dispersion and isolation, weak institutions and unequal access to services for vulnerable populations. To monitor and assess the socio-economic impacts of COVID-19 in Papua New Guinea, five rounds of High Frequency Phone Survey (HFPS) have been planned and will be conducted quarterly.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household and Individual.
Version
Version Description
Version 01: Clean, labelled and anonymized version of the Master file.
Version Date
2020-11-01
Version Notes
Dataset distributed by the World Bank Group (WBG).
Scope
Notes
-HOUSEHOLD: Interview information; Basic information; Knowledge; Employment and income loss; Access food and food security; Coping strategies; Access health; Public trust and security; Assets and well-being; Interview results.
-INDIVIDUAL: Interview information; Basic information; Employment and income loss.
-INDIVIDUAL: Interview information; Basic information; Employment and income loss.
Topics
| Topic |
|---|
| pacific-skills, education, training |
| pacific-skills, employment |
Keywords
| Keyword |
|---|
| COVID-19 |
| High Frequency Phone Survey |
| Education |
| Economic activity |
| Business |
| Income |
| Farming |
| Remittances |
| Food |
| Health |
| Public services |
| Well-being |
Coverage
Geographic Coverage
National coverage: 22 provinces covered.
Universe
Over 18 years of age from the Digicel subscriber logs.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| World Bank | World Bank Group |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | World Bank Group | Technical assistance |
| Poverty and Equity Global Practice | World Bank Group | Technical assistance |
| Research Triangle Institute | Technical assistance | |
| International Food Policy Research Institute | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| World Bank Group | WBG | Funded the survey and analysis |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| United Nations Regional Coordination Office | United Nations | Technical assistance |
| Statistics for Development Division | Pacific Community | Technical assistance |
| Digicel Papua New Guinea | Adivce on implementation |
Sampling
Sampling Procedure
The implementation method was random digit dialing which was administered through a computer system randomly dialing numbers from the Digicel subscriber logs and connecting to a live operator if a live respondent answered. To raise awareness and response rates, a text blast was sent to Digicel subscribers prior to the call notifying that they could potentially be contacted to participate in a survey being conducted by the World Bank.
The target sample size was 2,500 respondents. This figure was determined based on budget constraints and the need to be able to disaggregate the results at the regional level. Since limited auxiliary information was available for sample design, the high frequency phone survey targeted households in the same proportion as the 2016-2018 Demographic and Health Survey (DHS).
Overall, the achieved sample size was 3,115 because of the limited ability to target by geography with a random digit dial design.
For more information on sampling, please refer to the report provided in the External Resources.
The target sample size was 2,500 respondents. This figure was determined based on budget constraints and the need to be able to disaggregate the results at the regional level. Since limited auxiliary information was available for sample design, the high frequency phone survey targeted households in the same proportion as the 2016-2018 Demographic and Health Survey (DHS).
Overall, the achieved sample size was 3,115 because of the limited ability to target by geography with a random digit dial design.
For more information on sampling, please refer to the report provided in the External Resources.
Response Rate
A total of 3,115 household members were successfully interviewed.
Below are the completion rates by Province:
-Enga: 156%;
-Western Highlands: 141%;
-Hela: 140%;
-Jiwaka: 121%;
-Southern Highlands: 115%;
-Chimbu: 114%;
-Eastern Highlands: 112%;
-West New Britain: 149%;
-AR of Bougainville: 142%;
-East New Britain: 128%;
-Manus: 112%;
-New Ireland: 107%;
-East Sepik: 157%;
-Morobe: 119%;
-Madang: 109%;
-Sandaun (West Sepik): 96%;
-National Capital District: 164%;
-Central: 117%;
-Western (Fly): 114%;
-Milne Bay: 104%;
-Oro (Northern): 103%;
-Gulf: 59%.
Below are the completion rates by Province:
-Enga: 156%;
-Western Highlands: 141%;
-Hela: 140%;
-Jiwaka: 121%;
-Southern Highlands: 115%;
-Chimbu: 114%;
-Eastern Highlands: 112%;
-West New Britain: 149%;
-AR of Bougainville: 142%;
-East New Britain: 128%;
-Manus: 112%;
-New Ireland: 107%;
-East Sepik: 157%;
-Morobe: 119%;
-Madang: 109%;
-Sandaun (West Sepik): 96%;
-National Capital District: 164%;
-Central: 117%;
-Western (Fly): 114%;
-Milne Bay: 104%;
-Oro (Northern): 103%;
-Gulf: 59%.
Weighting
As the survey was administered by mobile phones, the respondents were a representative sample of mobile phone holders and not the overall population.
Previous literature has shown that mobile phone holders are more likely to be male, urban, wealthier and more highly educated. To make inferences at the level of the population instead of mobile phone holders, it was necessary to reweight the survey data.
The sampling weights were developed for round one of the Papua New Guinea (PNG) High Frequency Phone Survey (HFPS) in a series of steps. The weights began with weights provided from the survey firm that represented the total number of subscribers in a given province divided by the number of completed calls in that province.
For re-weighting, the most recent survey was used (2016-2018 Demographic and Health Survey (DHS)). The weights were then calibrated to the DHS distribution.
A second set of weights to do individual analysis was incorporated.
For more information on weighting, please refer to the "Weighting" section (p.40) of the report provided in the External Resources.
The "weight" variable in the Household dataset is called "weight" whereas that in the Person dataset is called "ind_weight".
Previous literature has shown that mobile phone holders are more likely to be male, urban, wealthier and more highly educated. To make inferences at the level of the population instead of mobile phone holders, it was necessary to reweight the survey data.
The sampling weights were developed for round one of the Papua New Guinea (PNG) High Frequency Phone Survey (HFPS) in a series of steps. The weights began with weights provided from the survey firm that represented the total number of subscribers in a given province divided by the number of completed calls in that province.
For re-weighting, the most recent survey was used (2016-2018 Demographic and Health Survey (DHS)). The weights were then calibrated to the DHS distribution.
A second set of weights to do individual analysis was incorporated.
For more information on weighting, please refer to the "Weighting" section (p.40) of the report provided in the External Resources.
The "weight" variable in the Household dataset is called "weight" whereas that in the Person dataset is called "ind_weight".
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2020-06-18 | 2020-07-03 | Data collection |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2020-06-18 | 2020-07-03 | Round 1 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
The length of the survey was limited to 15 minutes and the survey instrument for the first round consisted of the following modules: Basic information, Knowledge of COVID-19, Employment and Income loss, Food access and Food security, Coping strategies, Access to health care, Public trust and security, and Assets and wellbeing.
For restrospective questions on employment and availability, the baseline is defined as "the start of this year 2020". This is the first of five planned rounds.
Field work was conducted through a call center set up by Digicel - Papua New Guinea with a staff of 22 interviewers and 3 supervisors. The dates of implementation were June 18 through July 3, 2020.
A total of 45,747 unique calls were made including callbacks to the same respondents.
For restrospective questions on employment and availability, the baseline is defined as "the start of this year 2020". This is the first of five planned rounds.
Field work was conducted through a call center set up by Digicel - Papua New Guinea with a staff of 22 interviewers and 3 supervisors. The dates of implementation were June 18 through July 3, 2020.
A total of 45,747 unique calls were made including callbacks to the same respondents.
Data Collectors
| Name |
|---|
| Digicel Papua New Guinea |
Questionnaires
Questionnaires
The questionnaire - that can be found in the External Resources of this documentation - was developped both in English and in Pidgin.
The survey instrument for the first round consisted of the following modules:
-Basic information,
-Knowledge of COVID-19,
-Employment and Income loss,
-Food access and Food security,
-Coping strategies,
-Access to health care,
-Public trust and security,
-and Assets and wellbeing.
The survey instrument for the first round consisted of the following modules:
-Basic information,
-Knowledge of COVID-19,
-Employment and Income loss,
-Food access and Food security,
-Coping strategies,
-Access to health care,
-Public trust and security,
-and Assets and wellbeing.
Data Processing
Data Editing
At the end of data collection, the raw dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes.
Data was edited using the software Stata.
Data was edited using the software Stata.
Other Processing
Data was collected and managed using the Survey Solutions software package.
Access policy
Access authority
| Name | Affiliation | URL |
|---|---|---|
| World Bank | World Bank Group | https://www.worldbank.org/ |
Contacts
| Name | Affiliation | URL |
|---|---|---|
| World Bank | World Bank Group | https://www.worldbank.org/ |
Access conditions
Licensed dataset, accessible under 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.
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.
Citation requirements
"Papua New Guinea, High Frequency Phone Survey on COVID-19 2020 (HFPS 2020), Version 01 of the licensed dataset (November 2020), provided by the Pacific Data Hub - Microdata Library. https://microdata.pacificdata.org/index.php/home"
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_SPC_PNG_2020_HFPS-W1_v01_M_v01_A_PUF
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Statistics for Development Division | SDD | Pacific Community | Documentation of the study |
| World Bank Group | WBG | Documentation of the study |
Date of Metadata Production
2020-11-23
DDI Document version
Version 01 (November 2020): This is the first attempt at documenting the 2020 High Frequency Phone Survey on COVID-19 of Papua New Guinea. Done by Statistics for Development Division at Noumea, New Caledonia.