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How can I regress Employed on Age and Age2, using a linear probability model in R STUDIO Variable Name Description Variables from the 2009 Survey
How can I regress Employed on Age and Age2, using a linear probability model in R STUDIO
Variable Name Description Variables from the 2009 Survey employed indicator =1 if employed in 2009 unemployed indicator =1 if unemployed in 2009 Variables from the 2008 Survey age age female indicator =1 if female married indicator =1 if race = 1 if self-identified race = white (only) = 2 if self-identified race = black (only) = 3 if self-identified race was not white (only) or black (only) union indicator =1 if a member of a union ne states indicator =1 if from a northeastern state so states indicator =1 if from a southern state ce states indicator =1 if from a central state we states indicator =1 if from a western state private indicator =1 if employed in a private firm government indicator =1 if employed by the government self indicator =1 if self-employed educ Iths indicator =1 if highest level of education is less than a high school graduate educ hs indicator =1 if highest level of education is a high school graduate educ somecol indicator =1 if highest level of education is some college educ aa indicator =1 if highest level of education is AA degree educ ba indicator =1 if highest level of education is BA or BS degree educ adv indicator =1 if highest level of education is advanced degree earnwke average weekly earnings
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