High Frequency Phone Survey 2020, Assessment of the Impact of COVID-19 on Firms
Iraq, 2020
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Reference ID
IRQ_2020_HFPS-F_v01_M
Producer(s)
Dalal Moosa, Vanessa Moreira
Collection(s)
Created on
Aug 05, 2021
Last modified
Aug 05, 2021
Page views
5809
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636
Identification
Survey ID Number
IRQ_2020_HFPS-F_v01_M
Title
High Frequency Phone Survey 2020, Assessment of the Impact of COVID-19 on Firms
Subtitle
Assessment of the Impact of COVID-19 on Firms
Country/Economy
| Name | Country code |
|---|---|
| Iraq | IRQ |
Study type
Enterprise Survey [en/oth]
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Firms from the Manufacturing and Services sectors in the Federal level and the Kurdistan Region of Iraq (KRI) .
Version
Version Description
The survey solicited key information about firms’ operational status before and during the pandemic, their general business outcomes, the severity of some of the challenges they have been facing, and finally some of their coping strategies. The focus on understanding the state of firms and business activity in Iraq during the pandemic comes from the recognition that it is a precursor to what may await the broader economy as well as workers and their families. The survey results highlight the importance of some key challenges that firms have faced since the beginning of the pandemic. This note is structured as follows: section one gives introduction. Section two describes the sample frame, sample selection, and the process of data collection. Section three briefly describes the questionnaire. Section four delves into the results such that it first gives a set of descriptive statistics of the firms that were interviewed, then elaborates on their responses related to the pandemic and its various challenges and coping mechanisms. Section five concludes with some policy implications.
Coverage
Geographic Coverage
The survey was administered to a total of 671 firms from the Manufacturing and Services sectors in the Federal level and the Kurdistan Region of Iraq (KRI). The Kurdistan Region of Iraq (KRI) is a relatively autonomous region dominated by the oil industry in Northern Iraq. It is comprised of three Kurdish-majority governorates of Dohuk, Erbil, and Sulaymaniyah.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Dalal Moosa | The World Bank Group |
| Vanessa Moreira | The World Bank Group |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| World Food Programme - Iraq | Data collection |
| Central Statistics Organization of Iraq | Sample frame for firms in governorates under the Federal level |
| Josh Seth Wimpey | Sample frame, stratification and sample selection |
| William Soh | Sample frame, stratification and sample selection |
| Wiem Jenzri | Sample frame, stratification and sample selection |
| Mohammed Abdulkader | Comments on both the questionnaire and preliminary report |
| Nadine Chehade | Comments on both the questionnaire and preliminary report |
| Sabaa Notta | Comments on both the questionnaire and preliminary report |
| Patricia Heydamous | Comments on both the questionnaire and preliminary report |
| Majid Kazemi | Feedback on the overall report in its later stages |
| Michael Weber | Feedback on the overall report in its later stages |
| Lokendra Phadera | Overall support |
Sampling
Sampling Procedure
The sample was designed to provide information about firms in the Manufacturing and Services sectors in the Federal level and KRI of Iraq. Statistically accurate findings can only be derived using these four strata. Consequently, the report avoids results based on sub-sectors and/or governorates.
The survey used a stratified random sampling approach. The sample frame was stratified according to:
(1) two regions, namely the Federal level, and KRI, and
(2) two broad sectoral classification of Manufacturing or Services.
The sample was split between 400 firms under the Federal level, such that 200 are from Manufacturing and 200 from Services, with the remaining 100 focusing on KRI Services. There was an insufficient number of KRI Manufacturing firms in the sample frame so the final sample could only include KRI Services. The sample was designed to guarantee a minimum level of precision consisting of a 7.5% margin of error with a 90% confidence level.
The survey used a stratified random sampling approach. The sample frame was stratified according to:
(1) two regions, namely the Federal level, and KRI, and
(2) two broad sectoral classification of Manufacturing or Services.
The sample was split between 400 firms under the Federal level, such that 200 are from Manufacturing and 200 from Services, with the remaining 100 focusing on KRI Services. There was an insufficient number of KRI Manufacturing firms in the sample frame so the final sample could only include KRI Services. The sample was designed to guarantee a minimum level of precision consisting of a 7.5% margin of error with a 90% confidence level.
Response Rate
Given the fact that this was a monthly survey, the challenge of attrition was dealt with using substitutions to reach the targeted size of each stratum. For each interview, 10 substitutions were included that followed the original design of the sample.
Weighting
The Iraq Covid-19 Rapid Phone Surveys is stratified on three dimensions:
• Sector of activity (Manufacturing, Services)
• Geographical location (Federal, KRI)
• Panel status (Fresh/New, Panel)
Sampling weights were calculated to ensure representation at the national level given the strata.
• Sector of activity (Manufacturing, Services)
• Geographical location (Federal, KRI)
• Panel status (Fresh/New, Panel)
Sampling weights were calculated to ensure representation at the national level given the strata.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2020/10 | 2020/10 | 1 |
| 2020/11 | 2020/11 | 2 |
| 2020/12 | 2020/12 | 3 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Dalal Moosa | The World Bank Group | dmoosa@worldbank.org |
| Vanessa Moreira | The World Bank Group | vmoreiradasilva@worldbank.org |
Confidentiality
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigators
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
World Bank and World Food Program. Iraq High Frequency Phone Survey (HFPS-F), Assessment of the Impact of COVID-19 on Firms 2020-2021, Ref. IRQ_2020_HFPS-F_v01_M. Dataset downloaded from [URI] on [date]
- the Identification of the Primary Investigators
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
World Bank and World Food Program. Iraq High Frequency Phone Survey (HFPS-F), Assessment of the Impact of COVID-19 on Firms 2020-2021, Ref. IRQ_2020_HFPS-F_v01_M. Dataset downloaded from [URI] 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_IRQ_2020_HFPS-F_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2021-07-29
DDI Document version
Version 01 (July 2021)