Abstract An important phase of longitudinal data research is the pre-analysis of the data to determine the nature and extent of biases attributable to missing data. Loss of information takes many forms, but can be classified into the broad categories of loss of item data (i.e. a specific variable for some units of observation) and loss of unit data (i.e. the loss of an entire observation due to refusal or movement out of the sampled population). In this paper we discuss various ways of correcting for identified bias. The methods outlined are separated into those statistical procedures which are suitable in testing and correcting at the aggregate level, those relevant at the individual unit level, and nonstatistical procedures such as unit tracing. Since correction at the unit level is especially important for household panel data that is to be used in econometric modelling, we look in detail at the relationship between imputation and weighting methods of correcting for bias due to attrition.
Issues in the pre-analysis of panel data
Transportation Research Part A: General ; 21 , 4-5 ; 265-285
1987-01-01
21 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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