Measuring Urban Living Standards in Antananarivo 2016
Madagascar, 2016
Get MicrodataIdentification
MDG_2016_TANA-LSMS_v01_M
Measuring Urban Living Standards in Antananarivo 2016
| Name | Country code |
|---|---|
| Madagascar | MDG |
Integrated Survey (non-LSMS) [hh/is]
The World Bank, in collaboration with Oxford Policy Management (OPM), developed a living standards measurement survey (LSMS) at the household level to investigate the relationship between household living standards and location risk in Antananarivo, Madagascar. This project is a sister project of those measuring living standards in cities conducted by OPM in Dar-es-Salaam, Tanzania (2014-2015) and in Durban, South Africa (2015).
The objective of the Antananarivo Urban Poverty and Resilience Study is to identify policy actions that have a high potential to improve the quality of life and increase the resilience of the poor in Antananarivo and to inform the national government and municipal authorities on how to better target and finance poverty reduction programmes.
The survey will hope to meet these objectives by:
i. Collecting data to allow for poverty and vulnerability analysis in order to better understand the spatial distribution of poverty in Antananarivo;
ii. Collecting data to allow for the analysis of the availability of infrastructure, access to basic services, as well as the incidence of natural hazards; and
iii. Collecting data to allow for the analysis of the ability of the poor to protect against risk and cope with disasters.
Sample survey data [ssd]
- Household
- Individual
Version
Version 01
Scope
The 2016 Antananarivo Urban Poverty and Resilience Study covered the following topics:
HOUSEHOLD
• Identification
• Roster
• Household characteristics
• Health
• Education
• Labor
• Hosing
• Assets
• Social protection
• Remittances
• Shocks
• Flooding
• Consumption expenditure
COMMUNITY
• Identification
• Access to facility
Coverage
The survey covered households in Antananarivo, Madagascar.
Producers and sponsors
| Name |
|---|
| The World Bank |
| Name | Role |
|---|---|
| Oxford Policy Management | Collaborated in the implementation of the survey |
| Name | Role |
|---|---|
| The World Bank | Funded the study |
Sampling
A multi-stage random selection process was used to select households for interview for the Antananarivo Urban Poverty and Resilience Study. The following sampling stages were completed: (1) Selection of EAs; (2) Selection of dwellings; (3) Selection of Households; (4) Selection of Random Respondent. These calculations are necessary to be able to calculate a household sample weight. Due to the complex multi-stage nature of sampling that was used for this study, sample weights are required to correct for the potential that individual study units, i.e. households are selected with unequal sampling probabilities.
For further details on sample design and implementation, see Section 4 of Antananarivo Urban Poverty and Resilience Study report.
Data collection
| Start | End |
|---|---|
| 2016 | 2016 |
| Name |
|---|
| Oxford Policy Management |
Fieldwork
The fieldwork planning and preparation started in August 2016 and lasted until the beginning of the field worker training in October 2016. During the preparation period particular attention was paid to a thorough contextualisation and translation of the questionnaire instruments, the recruitment of experienced field workers and the facilitation of access to communities in the sample. The preparation phase included a five-day pre-testing exercise during which instruments and protocols were tested.
Training on household instrument and procedure
The household training took place from 11th to 22nd October and was led by Andres Arau from OPM and supported by Andrianina Rakotoarimanana from ATW consultants and Juan Munoz and Rawaa Harati from the World Bank.
A total of 50 interviewers, 6 supervisors and 2 monitoring staff started the training and supervisors and fieldworkers were selected on the basis of previous experience and aptitude demonstrated during the training.
Training sessions included class room training, class room practicing, equipment practice, role plays, mock interviews, scenario discussions, field tests and debriefing and feedback sessions. The questionnaire was fine-tuned during the training on the basis of feedback from the fieldworkers, last minute modifications made by the World Bank team and problems encountered during the pilot.
The final team was selected at the end of the training based on: active participation during the training; ability to follow fieldwork procedures and administer interviews during the field practice days; ability to use CAPI; availability throughout the fieldwork; and other positive personality traits such as good overall attitude, diligence and willingness to learn and follow procedures. Some fieldworkers had to be sent home during the training or piloting due to poor performance or poor attitude, whilst others quit due to the difficulty of the questionnaire. The final team consisted of 30 interviewers and 6 supervisors.
The language of instruction during the training was French with accompanying training in Malagasy, particularly in cases where concepts were difficult to understand in French. However, the CAPI instruments displayed both French and Malagasy, as well as the original in English. This enabled concepts to be clarified and the translations to be honed during the training and piloting. If issues were found with the Malagasy or French translation of the instruments, the translation was improved through consensus in the classroom. Furthermore, inconsistencies in the questionnaire or CAPI instruments were flagged and addressed during the training and piloting on an on-going basis.
Data Access
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
Disclaimer and copyrights
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
| Name | |
|---|---|
| Kirsten Hommann | khommann@worldbank.org |