Login
Login

Microdata Pacific Data Library

  • Home
  • Microdata Library
  • Collections
  • Citations
  • Data Deposit
  • Terms of Use
  • Policy and Procedures
  • Acknowledgements
    Home / Central Data Catalog / TON / TON_2007_RSEIE_V01_M
TON

Recognised Seasonal Employer Program Impact Evaluation 2007-2010

Tonga, 2007 - 2010
Tonga
David McKenzie
Last modified April 01, 2019 Page views 12550 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

Identification

IDNO
TON_2007_RSEIE_v01_M
Title
Recognised Seasonal Employer Program Impact Evaluation 2007-2010
Country
Name Country code
Tonga TON
Abstract
Seasonal migration programs are widely used around the world, yet there is little evidence about their development impacts. A multi-year prospective evaluation of New Zealand's Recognised Seasonal Employer (RSE) worker program was designed to measure the impact of participating in this program on households in Tonga and Vanuatu. New Zealand launched the Recognised Seasonal Employer (RSE) program in 2007. The program set up a new migration category to allow workers to be recruited for seasonal work in New Zealand's horticulture and viticulture industries.

Between 2007 and 2010 researchers from the World Bank and New Zealand's University of Waikato conducted four waves of surveys in Tonga and Vanuatu providing 70 percent of the Pacific Island workers in the RSE. In each country the team surveyed 450 households drawn from about 50 communities, including households supplying workers, households with RSE applicants who were not recruited and non-applicant households.

The baseline survey was conducted before workers left to work in New Zealand in the first season. The workers were re-interviewed 6, 12 and 24 months later. Using the baseline data and institutional knowledge of how recruitment for the program occurred, the impact evaluation team used propensity-score matching to identify an appropriate set of households to act as a comparison group for the households participating in the RSE, and then used panel difference-in-differences and fixed effects estimation to assess the impacts of the RSE on household income, consumption, durable assets and subjective well-being.

The baseline and three follow-up rounds datasets are documented here.
Kind of Data
Sample survey data [ssd]

Version

Version number
v01
There were four rounds of surveys (baseline and three follow-up surveys). Each survey had a household section and an individual section. The data was saved as corresponding household data files (round1HHa.dta, round2HHa.dta, etc.) and individual data files (round1Inda.dta, round2Inda.dta, etc.).

Coverage

Geographic Coverage
In Tonga the survey had near national coverage, covering the islands of Tongatapu, Vava'u and 'Eua.
Unit of Analysis
- Households
- Individuals

Producers and sponsors

Authoring entity/Primary investigators
Agency Name Affiliation
David McKenzie World Bank
Producers
Name Affiliation Role
John Gibson University of Waikato, New Zealand Co-Author
Funding Agency/Sponsor
Name Abbreviation
Australian Agency for International Development AUSAID

Sampling

Sampling Procedure
Researchers used a rolling sampling methodology, adding sample as they received updates of when, where, and who employers were recruiting, with the baseline survey conducted between October 2007 and April 2008. In Tonga, the survey had near national coverage, covering the islands of Tongatapu, Vav'u and 'Eua (containing 90 percent of the population and 92 percent of Year 1 RSE workers). Officials helped to identify households with RSE workers and households with members of the RSE work-ready pool who had not been selected yet. In the same villages, researchers also surveyed randomly selected households, where no one hadn't applied for the program yet. In each village, the goal was to select approximately five households with an RSE worker, three households with a member of the work-ready pool who was not selected, and four households with non-applicants. The resulting baseline survey covered 448 households containing 2,335 individuals in 46 villages.
Response Rate
Attrition was low in the Tongan sample. Of the 448 households in the baseline, researchers were able to re-interview 442 households in the second round survey, 444 in the third round, and 440 in the fourth round.
Weighting
No weights

Data Collection

Dates of Data Collection (YYYY/MM/DD)
Start date End date
2007-10-01 2010-03-31
Mode of data collection
Face-to-face [f2f]

Data access

Citation requirement
The use of the datasets must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name);
- the full title of the survey and its acronym (when available), and the year(s) of implementation;
- the survey reference number;
- the source and date of download (for datasets disseminated online).

Example:

David McKenzie, World Bank. Tonga Recognised Seasonal Employer Program Impact Evaluation (RSEIE) 2007-2010. Ref. TON_2007_RSEIE_v01_M. Dataset downloaded from [URL] 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

Contact
Name Affiliation Email
David McKenzie World Bank [email protected]ank.org

Metadata production

Document ID
DDI_TON_2007_RSEIE_v01_M_WB
Producers
Name Abbreviation Affiliation Role
Development Data Group DECDG World Bank Study documentation
Date of Production
2014-03-19
Document version
v01 (March 2014)
Pacific Data Hub Microdata Library

© Pacific Data Hub, All Rights Reserved.