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Comprehensive Baseline Study on Digital Remittances 2016

Jordan, 2016
Central
IPSOS Public Affairs, IPSOS Jordan
Last modified September 27, 2017 Page views 11484 Documentation in PDF Metadata DDI/XML JSON

Identification

IDNO
JOR_2016_DR-BL_v01_M
Title
Comprehensive Baseline Study on Digital Remittances 2016
Subtitle
Demand-side Survey of Low-income Jordanians and Syrian Refugees in Jordan
Countries
Name Code
Jordan JOR
Study notes
The Consultative Group to Assist the Poor (CGAP) and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) have conducted a baseline demand-side study of person-to-person (P2P) remittances in Jordan to gather insight into existing customers, non-customers and potential customers. This study informed the implementation of a larger project to improve access to remittances and other financial services through digital solutions for financially excluded groups. The focal population for this study was low-income Jordanians (defined as those with a monthly household income of under 400 Jordanian Dinars) and Syrian refugees who have been in Jordan for at least a year.

The study focused on remittance activity and awareness and access to technology, with market forecasting for a digital remittance product. Key findings elicited insights into potential barriers to a digital remittance product, as well as enabling factors, and revealed a small market opportunity.
Kind of data
Sample survey data [ssd]

Coverage

Geographic coverage
West Amman, East Amman, Irbid, Zarqa, Mafraq, Karak, Ma’an, Azraq refugee camp, Zaatari refugee camp
Unit of analysis
Individuals, households
Universe
Low-income Jordanians and Syrian refugees

Producers and sponsors

Authoring entity
Name
IPSOS Public Affairs, IPSOS Jordan
Producer(s)
Name Affiliation Role
Deutsche Gesellschaft für Internationale Zusammenarbeit, Jordan office Participation in questionnaire design
Consultative Group to Assist the Poor The World Bank Participation in questionnaire design
Funding agencies
Name Abbreviation
Consultative Group to Assist the Poor CGAP
Deutsche Gesellschaft für Internationale Zusammenarbeit GIZ

Sampling

Sampling procedure
The quantitative survey consisted of two independent samples:

• n= 1,091 low-income Jordanians (defined as those with less than 400JD of household income per month)
• n= 1,041 Syrian refugees living in Jordan

Quotas were used for both groups so the sample better represented available univariate population data in terms of geographic distribution, age and gender.
Refer to “Digittances Quantitative Data User Guide” for more information.
Weighting
No weighting applied

Data Collection

Dates of collection
Start End Cycle
2016-05-26 2016-06-05 Wave 1 (pre-Ramadan)
2016-07-10 2016-07-31 Wave 2 (post-Ramadan)
Mode of data collection
Face-to-face [f2f]
Data collection supervision
Refer to “Digittances Quantitative Data User Guide”
Questionnaires
Refer to “Digittances Quantitative Data User Guide”
Data collector(s)
Name
IPSOS Jordan

Data Processing

Data editing
In addition to the quality control conducted during fieldwork, data cleaning was conducted after fieldwork was completed. This included checks for internal consistency, missing variables, blank variables, and outliers. Ipsos data storage is audited annually as part of our ISO 27001 and 20252 accreditations and is compatible with security accreditation.
metadata.study_desc.method.data_collection.method_notes
Quality Control Procedures
Pre-Fieldwork Quality control starts at the pre-fieldwork stage, where certain checks are built into the survey programming that help to prevent human data entry error. Interviewers are briefed on the instrument as specified above and receive special skills-based training on how to communicate with lower-income segments. Strategies such as practice interviewing are typically used. However, this was not possible because of the condensed timeline of the study.

During Fieldwork Ipsos reviews data on a daily basis to monitor incoming data for broad trends that would indicate the questionnaire is being interpreted or administered wrong. In the case of this study, no issues were flagged. If any issue had been identified, call-backs would be conducted to re-administer the relevant sections of the survey and confirm responses for missing answers or those that seemed inaccurate. If responses are unable to be confirmed, or still have outstanding logic issues or missing answers, they are dropped from the study and replaced. There were no cases of this for this study.
To ensure the quality of information collected in field, several quality assurance procedures were put in place. As noted above, 43% of the sample was randomly selected for a callback to verify responses given in specific sections, and 29% of interviews were accompanied by a supervisor. Supervisors applied routing checks to 5% of all interviews to ensure that interviewers were beginning at the specific starting points and applying all random walk procedures.

Post-Fieldwork After fieldwork was complete, the data file was checked for overall logic and completeness – these checks were focused on demographic data and called back for validation or dropped from the sample.

Data access

Access conditions
Direct access
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:

IPSOS Jordan, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), Consultative Group to Assist the Poor(CGAP). Comprehensive Baseline Study on Digital Remittances 2016, Demand-side survey of low-income Jordanians and Syrian refugees in Jordan Sample survey, 2016. Ref. JOR_2016_DR-BL_v01_M. Downloaded from [URL] on [Date]

Contacts

Contact(s)
Name Affiliation URI
Microdata Library World Bank microdata.worldbank.org

Metadata production

IDNo
DDI_JOR_2016_DR-BL_v01_M_WB
Producers
Name Abbreviation Affiliation Role
Development Economics Data Group DECDG The World Bank Documentation of the DDI
Production date
2017-07-20
Version
Version 01 (July 2017)