POS 3703 Lecture Notes - Lecture 6: Spurious Relationship, Contingency Table

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14 Oct 2016
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Need for statistical control: ma(cid:374)(cid:455) i(cid:374)te(cid:396)esti(cid:374)g (cid:395)uestio(cid:374)s a(cid:271)out politi(cid:272)s (cid:272)a(cid:374)(cid:374)ot (cid:271)e a(cid:374)s(cid:449)e(cid:396)ed usi(cid:374)g e(cid:454)pe(cid:396)i(cid:373)e(cid:374)tal (cid:396)esea(cid:396)(cid:272)h, politi(cid:272)al s(cid:272)ie(cid:374)tists ge(cid:374)e(cid:396)all(cid:455) (cid:449)o(cid:396)k (cid:449)ith observational data. What happens after we control for z: spurious relationship- x does not really effect y, it"s explained by z, additive relationship- x does explain y, and so does y. Interactive relationship- the effect of x on y depends on the value of z. Women favor gun control more than men in both parties. The iv and control variable are nominal or ordinal; they separate observations in groups. Co(cid:374)t(cid:396)olled c(cid:396)oss ta(cid:271)ulatio(cid:374) a(cid:374)al(cid:455)sis: we"(cid:448)e see(cid:374) e(cid:454)a(cid:373)ples of ze(cid:396)o o(cid:396)de(cid:396) (cid:396)elatio(cid:374)ships al(cid:396)ead(cid:455) This is comparing dv across different levels of iv (w/o control variable) Subset() function: sepa(cid:396)ate (cid:272)(cid:396)oss ta(cid:271)ulatio(cid:374)s (cid:271)et(cid:449)ee(cid:374) the iv a(cid:374)d the dv a(cid:396)e the(cid:374) pe(cid:396)fo(cid:396)(cid:373)ed fo(cid:396) ea(cid:272)h (cid:448)alue of the cv. Estimating partial effects from controlled comparison table: partial effect of the independent variable.

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