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Longitudinal surveys are crucial resources for analysing and understanding how economic and social behaviour change over time. Because they provide repeated observations of the same observational units over time, they enable researchers to answer a host of questions about how individual heterogeneous units respond to economic and social factors.
Developing new methods to address the challenges caused by missing data problems in longitudinal surveys is a research area of first-order importance. The longitudinal nature of these studies results in complex patterns of missing data. The interaction of attrition and time-varying nonresponse with the rich features of longitudinal surveys (such as rotating content) and the multipurpose nature of such studies results in a multiplicity of patterns of missingness for researchers analysing the data in different ways or for different purposes.
These issues are also of first order importance in analysing data obtained from the linkage of survey data with administrative or other external data sources. Data linkage results in complete cases only for the intersection of cases that are complete in both the survey and administrative data. Moreover, the linkage processes itself can result in additional missing data, through lack of consent or failure to match.
This workshop brings together statisticians, econometricians, survey designers, and data users to discuss new results and open questions in this important research area. The workshop will discuss practical experience in collecting and using panel data, advances in statistical and econometric methods to address missing data problems, and applications of these methods to important research questions.
This is a joint cemmap and Understanding Society workshop.
Confirmed speakers include: Kate Tilling (Bristol), Jeff Wooldridge (Michigan State), Chris Bollinger (Kentucky), Richard Silverwood (UCL), Chris Muris (Bristol)
This is a joint cemmap and Understanding Society workshop.
