Managing labour migration: The case of the Filipino and Indonesian domestic helper market in Hong Kong 71
CONTINUED RECOMMENDATIONS FOR HYPOTHESIS TESTING
The following are possible quantifiable measures and methods of data collection for each of the suggested variables in the PAE recommendations.
Independent Variable: High / Low migration infrastructure The ILO should use continuous variables to measure whether a state has low or high migration infrastructure. The variable should be one that can be measured in both the sending and receiving country. For example, wages would not be a sufficient indicator because they are only relevant in the receiving country. Depending on the variable used, the median value of the variable’s range should determine which states fall in the high or low range of migration infrastructure. Please see the sample chart and typology generated using a generic variable below.
Receiving country variable x
Receiving country Y – Sending country Z
Receiving country A – Sending country B
Sending country variable x
The following variables can be used to measure the level of infrastructure in a state. None of the variables alone, however, can shed sufficient insight on the efficacy of the infrastructure. For example, countries with higher migration infrastructure may have many laws that put migrants at risk of exploitation. Data collection for the most desirable variables in future studies does not require using a household survey.
Number of legislations: The ILO can easily research the number of laws relating to migrants in each country. Further analysis should be conducted to determine the impact of each legislation, whether the legislations hurt or help migrant workers.