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With panel data important issues can be resolved that can not beaddressed with cross--sectional data. A major drawback … from the original populationas replacements for units who have dropped out of the panel, aso--called refreshment sample … different results than models that assume that themissing data process is ignorable or conventional econometric modelsfor panel …
Persistent link: https://www.econbiz.de/10011283469
inferred using only cross-sectional data. Panel or longitudinal data where the same units are observed repeatedly at different … units who respond in initial waves of the panel may drop out in subsequent waves, so that the subsample with complete data … for all waves of the panel can be less representative of the population than the original sample. Sometimes, in the hope …
Persistent link: https://www.econbiz.de/10013246678
inferred using only cross-sectional data. Panel or longitudinal data where the same units are observed repeatedly at different … units who respond in initial waves of the panel may drop out in subsequent waves, so that the subsample with complete data … for all waves of the panel can be less representative of the population than the original sample. Sometimes, in the hope …
Persistent link: https://www.econbiz.de/10012472315
types of simultaneous entries into the panel. The little known phenomenon of natural refreshments, which adds to entries … differences in participation experience (i.e. panel conditioning). A demonstrative application on subjective data from the German … Socio-Economic Panel Study (SOEP) serves as an example and offers insights on health-related attrition. …
Persistent link: https://www.econbiz.de/10011455538
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Persistent link: https://www.econbiz.de/10008909183
using the ongoing German Socio-Economic Panel (GSOEP) and a new cross-sectional sample. In the first part of the paper, the … selection schemes of the subsamples A, B, C and D of the ongoing panel and of the new sample (sample E) are described. Using …
Persistent link: https://www.econbiz.de/10011432744
This paper develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate) outcomes to identify the average treatment...
Persistent link: https://www.econbiz.de/10010249397