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missing data is very common in empirical research in fact almost every project that Iamp;#39;ve done has had some missing data whether missing data is a problem depends on a few things but fortunately there are also tools that we can apply to deal with missing data another related concept is sample selection in this video Iamp;#39;ll give a quick overview what missing data is and what sample selection is letamp;#39;s start with an example this is a data set that I like to use when I teach regression analysis we have a bit more than 100 observations of data and the units that we observe our occupations from the Centers of Canada in the 1970s our task is to explain income with the other variables so we have education share of women and a prestige score for the occupation and we want to explain income the data are complete so we have every value for every variable for every case there are no holes here no missing data and the so this is easy but what if for example we donamp;#39;t obs
