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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 …
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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...
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This paper analyzes wage decomposition methodology in the context of panel data sample selection embedded in a … correlated random effects setting. Identification issues unique to panel data are examined for their implications for wage … decompositions. As an empirical example, we apply our methodology to German Socio-Economic Panel (GSOEP) data with which we …
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