Added idea
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@ -78,6 +78,7 @@ DF <- LINC_POP %>% left_join(WY_POP) %>% left_join(LINC_PRIV_IND) %>% left_join(
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DF %>% select(LINC_POP,WY_POP)
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DF %>% select(LINC_POP,WY_POP)
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DF <- DF %>% mutate(WY_POP=WY_POP-LINC_POP)
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DF <- DF %>% mutate(WY_POP=WY_POP-LINC_POP)
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#Check a VAR it looks like lags on changes to Private industry could affect other variables
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#Check a VAR it looks like lags on changes to Private industry could affect other variables
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#Idea check a SVAR placing limits on which shocks are first
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feols((LINC_POP)~(WY_POP)+log(LINC_PRIV_IND)+Year,data=DF)
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feols((LINC_POP)~(WY_POP)+log(LINC_PRIV_IND)+Year,data=DF)
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feols(log(1000*LINC_POP)~log(LINC_GDP)+log(LINC_PRIV_IND)+log(LINC_LABOR_FORCE)+log(LINC_PRIV_IND)+Year,DF)
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feols(log(1000*LINC_POP)~log(LINC_GDP)+log(LINC_PRIV_IND)+log(LINC_LABOR_FORCE)+log(LINC_PRIV_IND)+Year,DF)
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DF
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DF
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