out/tables/tabula_stream_p21_t8.csv — roseetal2019nothingstakeknowledge

roseetal2019nothingstakeknowledge

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`Sample`	`B(SE)`	`Wald X2`	`p-value`	`Exp(B)`
`Central and North America`
`USA`	`.523(.417)`	`1.572`	`.210`	`1.688`
`Mexico`	`.570(.568)`	`1.009`	`.315`	`1.769`
`South America`
`Brazil`	`−.613(.488)`	`1.577`	`.209`	`.542`
`Europe`
`Bulgaria`	`.048(.393)`	`.015`	`.903`	`1.049`
`France (Contrast)`	`—`	`—`	`—`	`—`
`Germany`	`.641(.640)`	`1.004`	`.316`	`1.899`
`Italy`	`.102(.477)`	`.046`	`.831`	`1.107`
`Portugal`	`.329(.516)`	`.407`	`.524`	`1.389`
`Spain`	`.147(.413)`	`.126`	`.723`	`1.158`
`Switzerland`	`.415(.583)`	`.506`	`.477`	`1.514`
`UK`	`.317(.407)`	`.606`	`.436`	`1.373`
`Middle East`
`Iran`	`−.544(.470)`	`1.337`	`.248`	`.580`
`East Asia`
`China`	`.309(.504)`	`.374`	`.541`	`1.361`
`Hong Kong`	`.776(.551)`	`2.301`	`.129`	`2.173`
`Guangzhou China`	`.248(.528)`	`.221`	`.638`	`1.282`
`Mainland China`	`−.239(.565)`	`.178`	`.673`	`.788`
`Mongolia`	`−.500(.549)`	`.829`	`.363`	`.607`
`Japan`	`.058(.493)`	`.014`	`.906`	`1.060`
`South Asia`
`India`	`−.274(.492)`	`.310`	`.578`	`.760`