Table 3.

Inclusion of jobless rate (JR)—adjusted for region and education

	Males			Females
	Micro	Macro	JR	Micro	Macro	JR
Distrust	0.015${}^{\ast }$	0.054${}^{\ast \ast \ast }$	$-0.000$	0.016${}^{\ast }$	0.048${}^{\ast \ast \ast }$	$-0.000$
	(0.008)	(0.011)	(0.001)	(0.008)	(0.009)	(0.001)
Authoritarianism	$-0.013$	0.385${}^{\ast \ast \ast }$	0.020${}^{\ast }$	0.0689	0.361${}^{\ast \ast \ast }$	0.032${}^{\ast \ast }$
	(0.104)	(0.105)	(0.011)	(0.096)	(0.102)	(0.012)
Xenophobia; Immigration
Decreased a lot	$-0.006$	0.088${}^{\ast \ast \ast }$	$-0.001$	$-0.004$	0.058${}^{\ast \ast \ast }$	0.001
	(0.012)	(0.015)	(0.002)	(0.011)	(0.013)	(0.002)
Does cultural harm	0.002	0.023${}^{\ast \ast \ast }$	0.001	$-0.002$	0.017${}^{\ast \ast \ast }$	0.001
	(0.005)	(0.006)	(0.001)	(0.004)	(0.005)	(0.001)
Is bad for econ.	0.000	0.033${}^{\ast \ast \ast }$	0.002${}^{\ast \ast }$	0.002	0.030${}^{\ast \ast \ast }$	$-0.000$
	(0.005)	(0.007)	(0.001)	(0.005)	(0.006)	(0.001)
Racism
Blacks	0.177	$-3.{568}^{\ast \ast \ast }$	0.043	0.449	$-2.{415}^{\ast \ast }$	0.063
	(0.960)	(1.045)	(0.123)	(0.881)	(0.967)	(0.111)
Hispanics	0.008	$-3.{305}^{\ast \ast \ast }$	$-0.142$	$-0.749$	$-3.{084}^{\ast \ast \ast }$	0.153
	(0.991)	(1.017)	(0.116)	(0.925)	(0.973)	(0.116)
Black lives matter	$-1.639$	$-8.{086}^{\ast \ast \ast }$	$-0.038$	$-0.172$	$-4.{975}^{\ast \ast \ast }$	$-0.112$
	(1.479)	(1.362)	(0.161)	(1.136)	(1.132)	(0.147)
Homophobia and female empowerment
Gays and lesbians	$-1.350$	$-3.{212}^{\ast \ast }$	$-0.{324}^{\ast \ast }$	$-0.262$	$-3.{403}^{\ast \ast \ast }$	$-0.182$
	(1.195)	(1.315)	(0.155)	(1.102)	(1.179)	(0.139)
Transgender	$-0.482$	$-2.{973}^{\ast \ast }$	$-0.{324}^{\ast \ast }$	$-0.245$	$-3.{759}^{\ast \ast \ast }$	$-0.{289}^{\ast \ast }$
	(1.125)	(1.224)	(0.145)	(1.096)	(1.181)	(0.139)
Feminism	$-0.148$	$-4.{762}^{\ast \ast \ast }$	$-0.{229}^{\ast }$	$-1.132$	$-2.{842}^{\ast \ast }$	$-0.{347}^{\ast \ast }$
	(1.119)	(1.190)	(0.130)	(1.078)	(1.118)	(0.156)
Views on religion
Jews	0.829	$-2.{491}^{\ast \ast }$	$-0.058$	$-1.097$	$-1.387$	$-0.{285}^{\ast \ast }$
	(1.046)	(1.002)	(0.142)	(0.959)	(1.050)	(0.131)
Muslims	0.077	$-5.{952}^{\ast \ast \ast }$	$-0.030$	$-1.647$	$-5.{569}^{\ast \ast \ast }$	$-0.124$
	(1.184)	(1.158)	(0.147)	(1.005)	(1.195)	(0.136)
Political candidate support
Hillary Clinton	$-0.763$	$-9.{254}^{\ast \ast \ast }$	$-0.096$	$-0.285$	$-10.{891}^{\ast \ast \ast }$	$-0.012$
	(1.105)	(1.129)	(0.125)	(1.137)	(1.113)	(0.128)
Donald Trump	$-1.183$	9.400${}^{\ast \ast \ast }$	0.347${}^{\ast \ast }$	$-0.229$	7.547${}^{\ast \ast \ast }$	0.252
	(1.344)	(1.384)	(0.175)	(1.250)	(1.426)	(0.169)

$\ast \ast \ast p<0.01$,$\ast \ast p<0.05$, $\ast p<0.1$. Dataset: 2016 American National Election Studies. Results are based on 1020 male observations and 1003 female observations. Standard errors are in parentheses. Each row captures the respective micro and macroeconomic insecurity and jobless rate 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: political identification, income, education level, age, being “born-again", race, foreign/native born, marital status, and whether governor is Republican or Democrat