TY - JOUR
T1 - Cutting the costs of attrition
T2 - Results from the Indonesia Family Life Survey
AU - Thomas, Duncan
AU - Witoelar, Firman
AU - Frankenberg, Elizabeth
AU - Sikoki, Bondan
AU - Strauss, John
AU - Sumantri, Cecep
AU - Suriastini, Wayan
PY - 2012/5
Y1 - 2012/5
N2 - Attrition is the Achilles heel of longitudinal surveys. Drawing on our experience in the Indonesia Family Life Survey (IFLS), we describe survey design and field strategies that contributed to minimizing attrition over four waves of the survey. The data are used to illustrate the selectivity of respondents who attrit from the survey and, also the selectivity of respondents who move from the place they were interviewed at baseline and are subsequently interviewed in a new location. The results provide insights into the nature of selection that will arise in studies that fail to track and interview movers. Attrition, and types of attrition, are related in complex ways to a broad array of characteristics measured at baseline. In addition, the evidence suggests attrition may be related to characteristics that are not observed in our baseline. Integrating IFLS with data from a Survey of Surveyors, we describe characteristics of both the interviewers and the interview that predict attrition in later waves. These characteristics point to possible strategies that may reduce levels of attrition and may also reduce the impact of attrition on the interpretation of behavioral models estimated with longitudinal data.
AB - Attrition is the Achilles heel of longitudinal surveys. Drawing on our experience in the Indonesia Family Life Survey (IFLS), we describe survey design and field strategies that contributed to minimizing attrition over four waves of the survey. The data are used to illustrate the selectivity of respondents who attrit from the survey and, also the selectivity of respondents who move from the place they were interviewed at baseline and are subsequently interviewed in a new location. The results provide insights into the nature of selection that will arise in studies that fail to track and interview movers. Attrition, and types of attrition, are related in complex ways to a broad array of characteristics measured at baseline. In addition, the evidence suggests attrition may be related to characteristics that are not observed in our baseline. Integrating IFLS with data from a Survey of Surveyors, we describe characteristics of both the interviewers and the interview that predict attrition in later waves. These characteristics point to possible strategies that may reduce levels of attrition and may also reduce the impact of attrition on the interpretation of behavioral models estimated with longitudinal data.
KW - Attrition
KW - Indonesia
KW - Survey design
UR - http://www.scopus.com/inward/record.url?scp=84863399119&partnerID=8YFLogxK
U2 - 10.1016/j.jdeveco.2010.08.015
DO - 10.1016/j.jdeveco.2010.08.015
M3 - Article
AN - SCOPUS:84863399119
SN - 0304-3878
VL - 98
SP - 108
EP - 123
JO - Journal of Development Economics
JF - Journal of Development Economics
IS - 1
ER -