Tracking:
The RUMiC survey is designed to provide a longitudinal dataset covering a four-year time span, tracking respondents so long as they remain in the surveyed cities and villages. The Rural and Urban Household Surveys follow a normal tracking method used in any longitudinal surveys with subjects having permanent living addresses. In general, the attrition rate for these two populations is within the normal range. Between the first and the second waves, the attrition rate for the Rural Household Survey was 1% and for the Urban Household Survey was 5.7%. The attrition rates for these two samples increased between the second and the third waves due to the change in survey conductor, but they still remain in a low range.
The tracking for the Urban Migrant Survey, however, is more difficult. The pre-test results indicate that migrant workers on average stay in a city for around 3 years, and none who lived in a residential address stays for more than a year. To ensure the tracking result, the survey team recorded the individual migrants? work and home addresses and other contact details in the cities as well as their home villages. We also recorded the phone numbers of three close relatives or friends of each interviewee so that we could track them even if they and their households moved. In addition, the team designed a tracking incentive scheme of three lotteries each year, with prizes from 50 to 2000 Yuan. Despite these efforts, the attrition rate for the Urban Migrant Survey has been very high.
The survey does not track returning migrants due to high costs. Between the first and the second wave, partly due to the high mobility and partly due to the global financial crisis, the attrition rate for the Urban Migrant Survey was 64%. In the subsequent waves the attrition rate gradually came down with the second to the third wave attrition rate being 52% and the third to the fourth wave rate being 43%.
The RUMiC survey was part of the RUMiCI project, which included surveys conducted in Indonesia. The Indonesian datasets will be soon publicly available. For detailed information see
http://rse.anu.edu.au/rumici/;
For detailed information on sampling design and tracking (including methodology and implementation manuals), see:
-
http://rse.anu.edu.au/rumici/;
- Gong, X., Kong, S. T., Li, S., and Meng, X. (2008) Rural-urban migrants: a driving force for growth, in Ligang Song and Wing Thye Woo (eds) China's Dilemma, Canberra: Asia Pacific Press;
- Meng, Kong, and Zhang (2010) How much do we know about the impact of the economic downturn on the employment of migrants?, ADBI Working Paper Series No. 194.
- Kong (2010): Rural-Urban Migration in China: Survey Design and Implementation. In: Meng, Xin and Manning, Chris (Eds.) with Shi, Li and Effendi, Tadjuddin The Great Migration: Rural-Urban Migration in China and Indonesia, Edward Elgar Publ. Ltd. 2010.