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Continuous Multi-Purpose Household Survey 2010

Mauritius, 2010 - 2011
Reference ID
MUS_2010_CMPHS_v01_M
Producer(s)
Statistics Mauritius
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
258
  • Study Description
  • Data Description
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Data Processing
  • Data Appraisal
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
MUS_2010_CMPHS_v01_M
Title
Continuous Multi-Purpose Household Survey 2010
Country
Name Country code
Mauritius MUS
Study type
Labor Force Survey [hh/lfs]
Series Information
Statistics Mauritius launched the Continuous Multi-Purpose Household Survey (CMPHS) in April 1999. It is an on-going survey but it was not conducted in 2000 so as not to coincide with the Housing and Population census. It was conducted on a monthly basis from April 1999 to December 1999 and from 2001 to 2003, on a quarterly basis in 2004 and again on a monthly basis from 2005 up to now. The results were disseminated on a yearly basis in 1999 and from 2001 to 2003. As from 2004, since the CMPHS is being used as a dedicated instrument for the direct measurement of labour force, employment and unemployment on a quarterly basis, the results are disseminated on a quarterly basis.
Abstract
The primary objective of the CMPHS is to obtain, on a regular basis, statistical information on the social and economic characteristics of the population of the Island of Mauritius and Island of Rodrigues.

The data collected provide inputs for the development of socio-economic indicators describing the various aspects of socio-economic development and its impact on the population. They are essential for the formulation and monitoring of policy programmes.

As from 2004, the CMPHS is being used as the dedicated instrument for the direct measurement of labour force, employment and unemployment on a quarterly basis.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individulal

Version

Version Description
Version 2.1: Final anonymised dataset for public use.
Version Date
2011-03-11

Scope

Notes
The Continuous Multi-Purpose Household Survey 2010 collects information on:
- Demographic Characteristics
- Educational Characteristics
- Activities of household members
- Nature of work
- Characteristics of self-employed
- Unemployment
- ICT amenities and use
- Household debt
- Safety and Security
- Domestic tourism
- Household income and expenditure
Topics
Topic Vocabulary
Labor Markets World Bank
Education World Bank
Information & Communication Technologies World Bank

Coverage

Geographic Coverage
National
Universe
All private households in the Island of Mauritius and the Island of Rodrigues.

Producers and sponsors

Primary investigators
Name Affiliation
Statistics Mauritius Ministry of Finance and Economic Development
Funding Agency/Sponsor
Name Role
Government of Mauritius Funding

Sampling

Sampling Procedure
(i) Sampling frame
The sampling frame used is a list of clusters or primary sampling units (PSUs) with their respective numbers of private households. The master sample of PSUs was drawn in 2005, based on the Relative Development Index (RDI) derived from the population census data. This index is used as the spatial stratification factor and is based on 12 variables encompassing housing and living conditions, literacy and education, and employment derived from the 2000 Housing and Population Census to rank PSUs. It will be updated at the next population census. The sampling frame as of Census 2000 consisted of 298,655 households (290,004 in Mauritius and 8,561 in Rodrigues).

(ii) Sampling method
The sampling method is a stratified two-stage sampling design. At the first stage, PSUs are selected from the PSU master sample with probability proportional to size. At the second stage of the sampling process, a fixed number of households (10) are selected by systematic sampling from each selected PSU with religion, household size and the average monthly expenditure of the household as stratification criteria.

In 2010, 11,280 households were surveyed at the rate of 940 per month and the response rate for 2010 was 92.1%. It should be noted that the households that could not be surveyed were replaced by households with similar characteristics.
Response Rate
There are some households that could not be surveyed. The reasons were mainly due to changes in household size, moving away, refusal, non-contact. They were replaced by households with similar characteristics. The response rate for 2010 was 92.1%
Weighting
Since the sampling design used is not self-weighting, individuals' records have to be weighed in order to make the weighted records represent the population of inference as closely as possible. This is done in two stages: the first one is to compensate for unequal selection probabilities and the second one is to make the resultant weighted population estimates from the sample conform to independent population estimates.

(i) Quarterly estimates
Quarterly estimates are based on a sample of 2,820 households. The first set of weights (PSUWGT) consists of sampling weights based on the number of households in selected PSUs as per listing carried out in 2008.

Estimates of the total number of persons by age group and sex worked out from the survey data after weighting are compared with independent population estimates (Demography figures). Correction factors are then applied to the PSUWGT for consistency.

(ii) Annual estimates
The sample data for the four quarters are merged and from the 11,280 households, the same weighting system is applied in two stages. However, in the first stage, the household weight is based on 20 households instead of 10 as a PSU is rotated twice during a year.

Data Collection

Dates of Data Collection
Start End Cycle
2010-01-18 2010-01-31 survey month of January
2010-02-15 2010-02-28 survey month of February
2010-03-15 2010-03-28 survey month of March
2010-04-19 2010-05-02 survey month of April
2010-05-17 2010-05-30 survey month of May
2010-06-21 2010-07-04 survey month of June
2010-07-19 2010-08-01 survey month of July
2010-08-16 2010-08-29 survey month of August
2010-09-03 2010-09-20 survey month of September
2010-10-31 2010-11-15 survey month of September
2010-11-28 2010-12-20 survey month of November
2011-01-02 survey month of December
Time periods
Start date End date Cycle
2010-01-11 2010-01-17 survey month of January
2010-02-08 2010-02-14 survey month of February
2010-03-08 2010-03-14 survey month of March
2010-04-12 2010-04-18 survey month of April
2010-05-10 2010-05-16 survey month of May
2010-06-14 2010-06-20 survey month of June
2010-07-12 2010-07-18 survey month of July
2010-08-09 2010-08-15 survey month of August
2010-09-13 2010-09-19 survey month of September
2010-10-11 2010-10-17 survey month of October
2010-11-08 2010-11-14 survey month of November
2010-12-13 2010-12-19 survey month of December
Data Collection Mode
Face-to-face [f2f]
Supervision
In 2010, the field staff for each month consists of 1 chief supervisor, 3 senior supervisors, 20 supervisors and 94 interviewers. 16 supervisors were responsible for a group of 5 interviewers, 2 for 4 interviewers and 2 for 3 interviewers.

The responsibilities of the different grades of supervisory staff and interviewers are briefly described below:

Chief Supervisor:
(i) Overall responsibility for ensuring quality in data collected from fieldwork.
(ii) Conducting briefing and training sessions for Interviewers and Supervisors
(iii) Conducting sample field checks
(iv) Control of quality of work of Senior Supervisors and Supervisors and deal with problems not specifically covered in instruction manuals
(v) Sample editing of completed questionnaires
(vi) Settling of difficult cases, non-response and dealing with any unforeseen problems

Senior Supervisor:
(i) Provide all support for ensuring veracity and quality of information collected
(ii) Conducting/attending briefing and training sessions for Interviewers and Supervisors
(iii) Sample field checks and re-interviews during survey months
(iv) Control the quality of work of supervisors
(v) Count the number of unemployed persons
(vi) Sample editing of completed questionnaires
(vii) Settling of difficult cases and problems

Supervisor:
(i) Attend briefing/training sessions with his/her team of interviewers to ensure their understanding of all relevant concepts and instructions.
(ii) Conduct practical sessions of questionnaire completion with the team of interviewers, as needed.
(iii) Consolidate interviewers' training and understanding by accompanying / assisting them as and when needed, but especially during the first interviews and the weaker performers.
(iv) Provide prompt assistance to interviewers in identifying /locating the selected households / persuading reticent respondents into cooperation, etc
(v) Control the quality of work of interviewers on the field, preferably using measures that prevent things being done wrong, rather than having to correct things after they have been done wrongly.
(vi) Make sure that work is not disrupted, appointments not missed, e.g. through sudden illness of interviewer etc.
(v) Regulate the flow of all documents between the Chief/Senior Supervisors and the interviewers, while ensuring that the confidentiality issues are kept in view throughout the fieldwork.
(vi) Count the number of unemployed persons.
(vii) Collect and edit the questionnaires before returning them to the Chief/Senior Supervisor.
(viii) Keep records as directed for control of progress and quality of fieldwork (Diary of field activities and checks).

Interviewer:
(i) Attend training sessions with a view to mastering the various concepts and procedures necessary for the good conduct of interviews and obtention of reliable and relevant data from household members
(ii) Attend a practical session on filling in of questionnaire to ensure that all questions have been clearly understood
(iii) Locate the selected households
(iv) Contact and interview the relevant members of the sample of households selected, and complete the questionnaires
(v) Scrutinise all completed questionnaires, preferably at the conclusion of each interview, to ascertain their completeness and correctness, making further enquiries if necessary
(vi) Complete editing of all questionnaires
Data Collectors
Name Abbreviation Affiliation
Statistics Mauritius SM Ministry of Finance and Economic Development

Questionnaires

Questionnaires
The CMPHS questionnaire comprises three modules: a basic module common to all rounds of the survey covering the general characteristics of the population, one or more special topic modules dealing with subjects requiring in-depth investigation and a third module grouping other topics of interest but investigated in less details.

Every year, different topics in the third module are covered according to user's needs. As the CMPHS is being used as the instrument for the measurement of labour force, employment and unemployment on a quarterly basis, a set of core questions on the labour force in Module III is kept constant at all rounds of the survey. it should be noted that questions on demographic & educational characteristics from Module I as well as household income & expenditure from Module III are also kept constant as far as possible.

The 2010 questionnaires were published in English and the detailed Modules are as follows:

Module I : Demographic and educational characteristics
Module II : Economic characteristics of household members aged 12 years and over (labour force); Current activity, nature of work, hours of work, self-employed; and Unemployment
Module III: ICT; Household Indebtedness; Safety & Security; Domestic Tourism; and Household income and expenditure

Data Processing

Data Editing
The completed questionnaires are edited and coded by trained statistical officers and clerical officers.
Other Processing
Data entry is done by the staff of the Central Informatics Systems Division (CISD) using the IMPS-based system.

The data are validated using CONCOR program.

Tabulations are made by using the IMPS-based system, STATA-based system and the software EXCEL.

Data Appraisal

Estimates of Sampling Error
Standard errors and confidence intervals are calculated for the main labour force estimates and are published together with the quarterly results.
Data Appraisal
In order to assess the reliability of the data, the following steps are done:

1. Compare age distribution of the population from survey results with that of demography;

2. Compare registered unemployed from survey results with the registered unemployed from the employment service;

3. Compare activity and unemployment rates over time;

4. Checks are made to ensure that there is no missing data

Access policy

Access authority
Name Affiliation Email URL
Director Statistics Mauritius statsmauritius@mail.gov.mu http://statsmauritius.gov.mu
Contacts
Name Affiliation Email URL
Statistician, CMPHS Unit Statistics Mauritius statsmauritius@mail.gov.mu http://statsmauritius.gov.mu
The World Bank Microdata Library microdata@worldbank.org http://microdatalib.worldbank.org
Confidentiality
Confidentiality of respondents is guaranteed by Section 19 of the Statistics Act of 2000, as amended by The Economic and Financial Measures Act of 2011: (1) The Director, Statistics Mauritius may disclose information in the form of individual statistical records solely for bona fide research or statistical purposes provided that- (a) all identifying information, such as names and addresses, has been removed; and (b) the information is disclosed in a manner that is not likely to enable the identification of the particular person or undertaking or business to which it relates. (2) Every person to whom any statistical records are disclosed pursuant to this section shall- (a) not attempt to identify a particular person or undertaking or business; (b) use the information for research or statistical purposes only; (c) not disclose the information to any other person or organisation; (d) when required by the Director, return all documents made available to him to the Director; and (e) comply with any directions given by the Director relating to the records.
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Statistics Mauritius Data Archive.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the Statistics Mauritius Data Archive.
4. No attempt will be made to produce links among datasets provided by the Statistics Mauritius Data Archive, or among data from the Statistics Mauritius Data Archive and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Statistics Mauritius Data Archive will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the Statistics Mauritius Data Archive.

The original collector of the data, the Statistics Mauritius Data Archive, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
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:

Statistics Mauritius, Continuous Multi Purpose Household Survey 2010 (CMPHS 2010). Ref. MUS_2010_CMPHS_v01_M. Dataset downloaded from [source] on [date].

Disclaimer and copyrights

Disclaimer
The user of the data acknowledges that Statistics Mauritius, 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_MUS_2010_CMPHS_v01_M
Producers
Name Abbreviation Affiliation Role
Statistics Mauritius SM Ministry of Finance & Economic Developmdent Documentation of the survey
Accelerated Data Program ADP International Household Survey Network Editing for the IHSN Survey Catalog
Date of Metadata Production
2011-03-11
DDI Document version
Version 01: Adopted from "DDI_MUS_2010_CMPHS_v01_M" DDI that was done by metadata producers mentioned in "Metadata Production" section.
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