IRQ_2020_HFPS-F_v01_M
High Frequency Phone Survey 2020
Assessment of the Impact of COVID-19 on Firms
Name | Country code |
---|---|
Iraq | IRQ |
Enterprise Survey [en/oth]
Sample survey data [ssd]
Firms from the Manufacturing and Services sectors in the Federal level and the Kurdistan Region of Iraq (KRI) .
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.
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.
Name | Affiliation |
---|---|
Dalal Moosa | The World Bank Group |
Vanessa Moreira | The World Bank Group |
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 |
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.
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.
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.
Start | End | Cycle |
---|---|---|
2020/10 | 2020/10 | 1 |
2020/11 | 2020/11 | 2 |
2020/12 | 2020/12 | 3 |
Name | Affiliation |
---|---|
Vanessa Moreira Da Silva | The World Bank |
Is signing of a confidentiality declaration required? |
---|
yes |
Use of the dataset must be acknowledged using a citation which would include:
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 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.
Name | Affiliation | |
---|---|---|
Dalal Moosa | The World Bank Group | dmoosa@worldbank.org |
Vanessa Moreira | The World Bank Group | vmoreiradasilva@worldbank.org |
DDI_IRQ_2020_HFPS-F_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2021-07-29
Version 01 (July 2021)
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