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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
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
3528
Downloads
344
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    IRQ_2020_HFPS-F_v01_M

    Title

    High Frequency Phone Survey 2020

    Subtitle

    Assessment of the Impact of COVID-19 on Firms

    Country
    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.

    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.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2020/10 2020/10 1
    2020/11 2020/11 2
    2020/12 2020/12 3

    Depositor information

    Depositor
    Name Affiliation
    Vanessa Moreira Da Silva The World Bank

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required?
    yes
    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]

    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.

    Contacts

    Contacts
    Name Affiliation Email
    Dalal Moosa The World Bank Group dmoosa@worldbank.org
    Vanessa Moreira The World Bank Group vmoreiradasilva@worldbank.org

    Metadata production

    DDI Document ID

    DDI_IRQ_2020_HFPS-F_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2021-07-29

    Metadata version

    DDI Document version

    Version 01 (July 2021)

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