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    Home / Central Data Catalog / TON_2007_RSEIE_V01_M / variable [F11]
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Recognised Seasonal Employer Program Impact Evaluation 2007-2010

Tonga, 2007 - 2010
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Reference ID
TON_2007_RSEIE_v01_M
Producer(s)
David McKenzie
Metadata
DDI/XML JSON
Created on
Apr 07, 2014
Last modified
Mar 29, 2019
Page views
60886
Downloads
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  • Study Description
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  • Data files
  • round1HHa
  • round1Inda
  • round2HHa
  • round2Inda
  • round3HHa
  • round3Inda
  • round4HHa
  • round4Inda
  • TongaReplicationData
  • allRSEstatus
  • IndividualDataTonga

Q2A. Which system of RSE selection would you prefer? (s12q2a)

Data file: round4HHa

Overview

Valid: 440
Invalid: 0
Type: Discrete
Decimal: 0
Start: 14
End: 14
Width: 1
Range: -
Format:

Questions and instructions

Question pretext
Please ask the adult in the household who will have the next birthday to answer this section
Literal question
New Zealand's Recognized Seasonal Employer (RSE) work scheme has now been in place two years and Australia has recently launched its own seasonal work program, the Australian Pacific Seasonal Workers Pilot Scheme. We are interested in your personal opinion about what seems best in terms of recruitment for these types of programs. You do not need to have participated in these programs to answer this question.

One approach to recruitment is to pick only a few people from each village, to allow as many villages as possible to participate in the seasonal work program. An alternative is to pick more people from the same village to allow workers to have more friends around them while abroad and to allow communities in Australia and New Zealand to begin to build relationships with particular villages in Tonga. Which system would you prefer?
Categories
Value Category
1 Recruitment from as many different villages as possible
2 Recruitment focused on fewer villages with more people from each village recruited
3 Either is equally ok
4 Do not know
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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