Table 4.

The impact of macro insecurity by party affiliation

	Males			Females
	Dem.	Rep.	Ind.	Dem.	Rep.	Ind.
Distrust	0.042${}^{\ast \ast \ast }$	0.077${}^{\ast \ast \ast }$	0.044${}^{\ast \ast }$	0.042${}^{\ast \ast \ast }$	0.076${}^{\ast \ast \ast }$	0.047${}^{\ast \ast \ast }$
	(0.014)	(0.021)	(0.019)	(0.013)	(0.023)	(0.012)
Authoritarianism	0.480${}^{\ast \ast }$	0.305${}^{\ast }$	0.448${}^{\ast \ast \ast }$	0.297${}^{\ast }$	0.520${}^{\ast \ast \ast }$	0.251
	(0.202)	(0.163)	(0.168)	(0.159)	(0.182)	(0.186)
Xenophobia; Immigration
Decreased a lot	0.063${}^{\ast \ast \ast }$	0.113${}^{\ast \ast \ast }$	0.085${}^{\ast \ast \ast }$	0.029${}^{\ast }$	0.076${}^{\ast \ast }$	0.111${}^{\ast \ast \ast }$
	(0.019)	(0.034)	(0.023)	(0.015)	(0.032)	(0.022)
Does cultural harm	0.016*	0.032${}^{\ast \ast \ast }$	0.020${}^{\ast \ast \ast }$	0.006	0.034${}^{\ast \ast \ast }$	0.032${}^{\ast \ast \ast }$
	(0.009)	(0.012)	(0.007)	(0.006)	(0.012)	(0.010)
Is Bad for Econ.	0.013*	0.053${}^{\ast \ast \ast }$	0.038${}^{\ast \ast \ast }$	0.023${}^{\ast \ast \ast }$	0.044${}^{\ast \ast \ast }$	0.038${}^{\ast \ast \ast }$
	(0.007)	(0.016)	(0.013)	(0.008)	(0.016)	(0.011)
Racism
Blacks	$-5.{271}^{\ast \ast \ast }$	$-0.387$	$-3.{831}^{\ast \ast }$	$-3.{014}^{\ast \ast }$	0.987	$-4.{870}^{\ast \ast }$
	(2.013)	(1.563)	(1.745)	(1.279)	(2.035)	(1.902)
Hispanics	$-6.{917}^{\ast \ast \ast }$	1.096	$-3.{774}^{\ast \ast }$	$-5.{884}^{\ast \ast \ast }$	1.295	$-3.{670}^{\ast }$
	(1.641)	(1.520)	(1.706)	(1.278)	(1.940)	(1.918)
Black lives matter	$-4.{832}^{\ast }$	$-7.{862}^{\ast \ast \ast }$	$-10.{430}^{\ast \ast \ast }$	$-4.{542}^{\ast \ast \ast }$	$-2.311$	$-7.{881}^{\ast \ast \ast }$
	(2.624)	(2.146)	(2.192)	(1.550)	(2.865)	(2.059)
Homophobia and female empowerment
Gays and lesbians	$-4.{811}^{\ast }$	$-1.360$	$-4.{527}^{\ast \ast }$	$-5.{169}^{\ast \ast \ast }$	$-0.992$	$-2.280$
	(2.669)	(2.081)	(2.190)	(1.795)	(2.100)	(2.347)
Transgender	$-3.387$	$-1.247$	$-4.{754}^{\ast \ast }$	$-4.{824}^{\ast \ast \ast }$	$-1.205$	$-3.{868}^{\ast }$
	(2.525)	(1.887)	(1.934)	(1.834)	(2.170)	(2.022)
Feminism	$-4.{236}^{\ast }$	$-3.{685}^{\ast }$	-5.765${}^{\ast \ast \ast }$	-3.951${}^{\ast \ast }$	0.504	-3.333
	(2.179)	(1.944)	(1.834)	(1.719)	(2.283)	(2.250)
Views on religion
Jews	$-2.553$	0.706	$-4.{677}^{\ast \ast \ast }$	$-3.{102}^{\ast \ast }$	2.878	$-2.291$
	(2.017)	(1.560)	(1.687)	(1.565)	(2.105)	(1.919)
Muslims	$-6.{085}^{\ast \ast }$	$-5.{494}^{\ast \ast \ast }$	$-6.{296}^{\ast \ast \ast }$	$-6.{545}^{\ast \ast \ast }$	$-1.535$	$-8.{087}^{\ast \ast \ast }$
	(2.369)	(1.795)	(1.765)	(1.783)	(2.482)	(2.096)
Political candidate support
Hillary Clinton	$-12.{465}^{\ast \ast \ast }$	$-5.{883}^{\ast \ast \ast }$	$-10.{525}^{\ast \ast \ast }$	$-11.{463}^{\ast \ast \ast }$	$-10.{416}^{\ast \ast \ast }$	$-9.{903}^{\ast \ast \ast }$
	(2.463)	(1.552)	(1.753)	(1.542)	(2.396)	(2.306)
Donald Trump	8.933${}^{\ast \ast \ast }$	9.836${}^{\ast \ast \ast }$	10.277${}^{\ast \ast \ast }$	4.964${}^{\ast \ast }$	7.915${}^{\ast \ast \ast }$	10.119${}^{\ast \ast \ast }$
	(2.756)	(2.099)	(2.206)	(2.419)	(2.867)	(2.318)

$\ast \ast \ast p<0.01$, $\ast \ast p<0.05$, $\ast p<0.1$. Dataset: 2016 American National Election Studies. Results are based on 1020 male observations (299 Democrats, 346 Republicans, 375 Independents) and 1003 female observations (440 Democrats, 253 Republicans, 310 Independents). Standard errors are in parentheses. Each row captures the respective macroeconomic insecurity results for the outcome listed. Aside from the results pertaining to Distrust and Xenophobia, all estimates are derived using OLS, with the former determined using an ordinal probit specification where average marginal effects are presented. Additional controls include: the micro insecurity index, income, education level, age, being “born-again", race, foreign/native born, marital status, and whether governor is Republican or Democrat