quarto_mxl

Location

	M1	M2	M3	M20
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
(Intercept)	3.611***	3.732***	3.610***	3.736***
	(0.100)	(0.110)	(0.100)	(0.110)
as.factor(age)3	0.120**	0.120**	0.120***	0.119**
	(0.036)	(0.036)	(0.036)	(0.036)
as.factor(age)4	0.244***	0.244***	0.244***	0.243***
	(0.038)	(0.038)	(0.038)	(0.038)
as.factor(age)5	0.257***	0.256***	0.258***	0.256***
	(0.037)	(0.037)	(0.037)	(0.037)
as.factor(gender)2	0.198***	0.198***	0.198***	0.198***
	(0.027)	(0.027)	(0.027)	(0.027)
as.factor(gender)3	-0.639	-0.641	-0.638	-0.639
	(0.628)	(0.628)	(0.628)	(0.628)
as.factor(education)2	-0.053	-0.055	-0.054	-0.056
	(0.052)	(0.052)	(0.052)	(0.052)
as.factor(education)3	-0.040	-0.041	-0.041	-0.042
	(0.051)	(0.051)	(0.051)	(0.051)
as.factor(education)4	-0.061	-0.061	-0.062	-0.061
	(0.046)	(0.046)	(0.046)	(0.046)
as.factor(education)5	0.223*	0.224*	0.223*	0.222*
	(0.101)	(0.101)	(0.101)	(0.101)
as.factor(rural)2	0.022	0.021	0.022	0.021
	(0.031)	(0.031)	(0.031)	(0.031)
as.factor(scenBlock)2	-0.481***	-0.481***	-0.481***	-0.480***
	(0.033)	(0.033)	(0.033)	(0.033)
as.factor(scenBlock)3	-0.242***	-0.242***	-0.242***	-0.242***
	(0.033)	(0.033)	(0.033)	(0.033)
as.factor(income_ordinal)2	-0.037	-0.036	-0.037	-0.035
	(0.056)	(0.056)	(0.056)	(0.056)
as.factor(income_ordinal)3	-0.091+	-0.089+	-0.091+	-0.088+
	(0.054)	(0.054)	(0.054)	(0.054)
as.factor(income_ordinal)4	-0.040	-0.036	-0.040	-0.036
	(0.053)	(0.053)	(0.053)	(0.053)
as.factor(income_ordinal)5	-0.108*	-0.104*	-0.108*	-0.104*
	(0.049)	(0.050)	(0.050)	(0.050)
IR_CC.z	-0.032		-0.034
	(0.043)		(0.043)
pmi_z	-0.181***	-0.181***	-0.199***	-0.230***
	(0.014)	(0.014)	(0.027)	(0.034)
GDP	0.005**	0.002	0.005**	0.002
	(0.002)	(0.002)	(0.002)	(0.002)
EPI.z		0.128*		0.133*
		(0.055)		(0.055)
IR_CC.z × pmi_z			0.011
			(0.015)
pmi_z × GDP			0.000	0.001
			(0.001)	(0.001)
EPI.z × pmi_z				-0.033+
				(0.020)
SD (Intercept country_sample)	0.213	0.194	0.213	0.193
SD (Observations)	1.772	1.772	1.772	1.772
Num.Obs.	17434	17434	17434	17434
R2 Marg.	0.037	0.040	0.037	0.041
R2 Cond.	0.051	0.052	0.051	0.052
ICC	0.0	0.0	0.0	0.0
RMSE	1.77	1.77	1.77	1.77

#| echo: false
#| output: true
table_loc_2

	M5	M6	M7
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
(Intercept)	3.457***	3.457***	3.554***
	(0.146)	(0.146)	(0.134)
as.factor(age)3	0.107**	0.105**	0.107**
	(0.040)	(0.040)	(0.040)
as.factor(age)4	0.249***	0.247***	0.249***
	(0.043)	(0.043)	(0.043)
as.factor(age)5	0.261***	0.260***	0.259***
	(0.042)	(0.042)	(0.042)
as.factor(gender)2	0.189***	0.188***	0.189***
	(0.030)	(0.030)	(0.030)
as.factor(gender)3	-1.140+	-1.140+	-1.148+
	(0.669)	(0.669)	(0.669)
as.factor(education)2	-0.061	-0.059	-0.050
	(0.059)	(0.059)	(0.059)
as.factor(education)3	-0.035	-0.035	-0.023
	(0.058)	(0.058)	(0.059)
as.factor(education)4	-0.064	-0.063	-0.059
	(0.053)	(0.053)	(0.053)
as.factor(education)5	0.301*	0.298*	0.299*
	(0.118)	(0.118)	(0.118)
as.factor(rural)2	0.035	0.036	0.036
	(0.035)	(0.035)	(0.035)
as.factor(scenBlock)2	-0.460***	-0.461***	-0.461***
	(0.037)	(0.037)	(0.037)
as.factor(scenBlock)3	-0.187***	-0.185***	-0.186***
	(0.037)	(0.037)	(0.037)
as.factor(income_ordinal)2	-0.034	-0.036	-0.032
	(0.063)	(0.063)	(0.063)
as.factor(income_ordinal)3	-0.075	-0.078	-0.078
	(0.060)	(0.060)	(0.060)
as.factor(income_ordinal)4	-0.045	-0.046	-0.045
	(0.060)	(0.060)	(0.060)
as.factor(income_ordinal)5	-0.119*	-0.119*	-0.116*
	(0.055)	(0.055)	(0.055)
Individualism.z	0.101*	0.104*	0.145***
	(0.047)	(0.047)	(0.042)
pmi_z	-0.184***	-0.313***	-0.277***
	(0.016)	(0.050)	(0.053)
LTO.z	-0.078	-0.075	-0.081+
	(0.049)	(0.049)	(0.042)
TL.z	0.033	0.029	0.064+
	(0.042)	(0.042)	(0.038)
Duty_Joy.z	-0.054	-0.051	-0.037
	(0.060)	(0.060)	(0.051)
GDP	0.010**	0.010*	0.006+
	(0.004)	(0.004)	(0.003)
Individualism.z × pmi_z		-0.030	-0.016
		(0.019)	(0.020)
pmi_z × LTO.z		-0.012	-0.013
		(0.020)	(0.020)
pmi_z × TL.z		-0.013	-0.001
		(0.017)	(0.018)
pmi_z × Duty_Joy.z		-0.057*	-0.052*
		(0.024)	(0.024)
pmi_z × GDP		0.004**	0.003+
		(0.002)	(0.002)
Masculinity.z			-0.116**
			(0.041)
pmi_z × Masculinity.z			-0.040*
			(0.019)
SD (Intercept country_sample)	0.167	0.167	0.136
SD (Observations)	1.764	1.764	1.763
Num.Obs.	13879	13879	13879
R2 Marg.	0.048	0.049	0.052
R2 Cond.	0.057	0.057	0.057
ICC	0.0	0.0	0.0
RMSE	1.76	1.76	1.76

plot_M6_loc_a

plot_M6_loc_b

plot_M6_loc_c

plot_M6_loc_d

Holding Period

	M1	M2	M3	M20
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
(Intercept)	5.094***	5.792***	5.084***	5.824***
	(0.477)	(0.550)	(0.479)	(0.547)
as.factor(age)3	0.829***	0.830***	0.825***	0.819***
	(0.113)	(0.113)	(0.113)	(0.113)
as.factor(age)4	1.492***	1.492***	1.483***	1.476***
	(0.119)	(0.119)	(0.119)	(0.119)
as.factor(age)5	2.454***	2.452***	2.448***	2.436***
	(0.116)	(0.116)	(0.116)	(0.116)
as.factor(gender)2	1.328***	1.328***	1.331***	1.331***
	(0.085)	(0.085)	(0.085)	(0.085)
as.factor(gender)3	-0.786	-0.793	-0.774	-0.771
	(1.950)	(1.950)	(1.950)	(1.949)
as.factor(education)2	-0.148	-0.150	-0.146	-0.151
	(0.162)	(0.162)	(0.162)	(0.162)
as.factor(education)3	-0.628***	-0.630***	-0.623***	-0.629***
	(0.159)	(0.159)	(0.159)	(0.159)
as.factor(education)4	-0.876***	-0.875***	-0.868***	-0.871***
	(0.144)	(0.144)	(0.144)	(0.144)
as.factor(education)5	0.840**	0.841**	0.842**	0.830**
	(0.315)	(0.315)	(0.315)	(0.315)
as.factor(rural)2	0.131	0.129	0.134	0.130
	(0.096)	(0.096)	(0.096)	(0.096)
as.factor(scenBlock)2	-0.247*	-0.247*	-0.243*	-0.239*
	(0.102)	(0.102)	(0.102)	(0.102)
as.factor(scenBlock)3	-0.075	-0.074	-0.073	-0.073
	(0.102)	(0.102)	(0.102)	(0.102)
as.factor(income_ordinal)2	-0.306+	-0.303+	-0.312+	-0.309+
	(0.174)	(0.174)	(0.174)	(0.174)
as.factor(income_ordinal)3	-0.314+	-0.311+	-0.322+	-0.316+
	(0.166)	(0.166)	(0.166)	(0.166)
as.factor(income_ordinal)4	-0.428**	-0.422*	-0.434**	-0.430**
	(0.166)	(0.166)	(0.166)	(0.166)
as.factor(income_ordinal)5	-0.723***	-0.716***	-0.741***	-0.738***
	(0.154)	(0.154)	(0.154)	(0.154)
IR_CC.z	-0.005		-0.040
	(0.241)		(0.243)
pmi_z	-1.056***	-1.055***	-0.872***	-1.138***
	(0.044)	(0.044)	(0.083)	(0.104)
GDP	0.007	-0.012	0.007	-0.013
	(0.010)	(0.012)	(0.010)	(0.012)
EPI.z		0.642*		0.703*
		(0.311)		(0.309)
IR_CC.z × pmi_z			0.068
			(0.046)
pmi_z × GDP			-0.005**	0.003
			(0.002)	(0.002)
EPI.z × pmi_z				-0.277***
				(0.062)
SD (Intercept country_sample)	1.244	1.153	1.253	1.145
SD (Observations)	5.498	5.498	5.496	5.493
Num.Obs.	17434	17434	17434	17434
R2 Marg.	0.077	0.087	0.077	0.089
R2 Cond.	0.122	0.126	0.123	0.127
ICC	0.0	0.0	0.0	0.0
RMSE	5.49	5.49	5.49	5.49

	M5	M6	M7
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
(Intercept)	4.516***	4.498***	4.807***
	(0.793)	(0.795)	(0.821)
as.factor(age)3	0.810***	0.799***	0.799***
	(0.125)	(0.125)	(0.125)
as.factor(age)4	1.560***	1.532***	1.533***
	(0.133)	(0.133)	(0.133)
as.factor(age)5	2.466***	2.440***	2.440***
	(0.129)	(0.129)	(0.129)
as.factor(gender)2	1.309***	1.312***	1.312***
	(0.094)	(0.094)	(0.094)
as.factor(gender)3	-0.720	-0.687	-0.697
	(2.079)	(2.077)	(2.077)
as.factor(education)2	-0.069	-0.071	-0.066
	(0.185)	(0.185)	(0.185)
as.factor(education)3	-0.523**	-0.516**	-0.508**
	(0.182)	(0.182)	(0.182)
as.factor(education)4	-0.744***	-0.735***	-0.733***
	(0.165)	(0.165)	(0.165)
as.factor(education)5	0.757*	0.753*	0.753*
	(0.368)	(0.368)	(0.368)
as.factor(rural)2	0.116	0.116	0.117
	(0.110)	(0.110)	(0.110)
as.factor(scenBlock)2	-0.295**	-0.284*	-0.285*
	(0.114)	(0.114)	(0.114)
as.factor(scenBlock)3	-0.087	-0.086	-0.086
	(0.114)	(0.114)	(0.114)
as.factor(income_ordinal)2	-0.326+	-0.331+	-0.330+
	(0.195)	(0.195)	(0.195)
as.factor(income_ordinal)3	-0.353+	-0.358+	-0.359+
	(0.187)	(0.187)	(0.187)
as.factor(income_ordinal)4	-0.455*	-0.466*	-0.467*
	(0.186)	(0.186)	(0.186)
as.factor(income_ordinal)5	-0.772***	-0.797***	-0.796***
	(0.172)	(0.172)	(0.172)
Individualism.z	0.594*	0.613*	0.734*
	(0.287)	(0.287)	(0.298)
pmi_z	-1.044***	-0.658***	-0.642***
	(0.049)	(0.157)	(0.165)
LTO.z	-0.654*	-0.639*	-0.656*
	(0.298)	(0.299)	(0.294)
TL.z	0.256	0.289	0.409
	(0.254)	(0.255)	(0.268)
Duty_Joy.z	-0.400	-0.416	-0.369
	(0.364)	(0.365)	(0.361)
GDP	0.030	0.030	0.019
	(0.023)	(0.023)	(0.025)
Individualism.z × pmi_z		-0.107+	-0.100
		(0.059)	(0.062)
pmi_z × LTO.z		0.085	0.084
		(0.063)	(0.063)
pmi_z × TL.z		-0.106*	-0.101+
		(0.053)	(0.057)
pmi_z × Duty_Joy.z		0.073	0.075
		(0.076)	(0.076)
pmi_z × GDP		-0.013**	-0.013**
		(0.005)	(0.005)
Masculinity.z			-0.364
			(0.290)
pmi_z × Masculinity.z			-0.017
			(0.061)
SD (Intercept country_sample)	1.082	1.085	1.066
SD (Observations)	5.479	5.474	5.474
Num.Obs.	13879	13879	13879
R2 Marg.	0.108	0.110	0.113
R2 Cond.	0.142	0.144	0.145
ICC	0.0	0.0	0.0
RMSE	5.47	5.47	5.47

Admin 1 (Community Group) vs Admin 2 (Electricity Provider)

	M1	M2	M3	M20
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
(Intercept)	-0.657***	-0.652***	-0.657***	-0.651***
	(0.036)	(0.042)	(0.037)	(0.042)
as.factor(age)3	0.044**	0.044**	0.044**	0.044**
	(0.015)	(0.015)	(0.015)	(0.015)
as.factor(age)4	0.056***	0.056***	0.056***	0.056***
	(0.016)	(0.016)	(0.016)	(0.016)
as.factor(age)5	0.034*	0.033*	0.034*	0.033*
	(0.016)	(0.016)	(0.016)	(0.016)
as.factor(gender)2	0.006	0.006	0.006	0.006
	(0.011)	(0.011)	(0.011)	(0.011)
as.factor(gender)3	-0.279	-0.279	-0.278	-0.279
	(0.264)	(0.265)	(0.264)	(0.265)
as.factor(education)2	0.020	0.020	0.020	0.020
	(0.022)	(0.022)	(0.022)	(0.022)
as.factor(education)3	0.012	0.012	0.012	0.012
	(0.021)	(0.021)	(0.021)	(0.021)
as.factor(education)4	-0.016	-0.016	-0.016	-0.016
	(0.019)	(0.019)	(0.019)	(0.019)
as.factor(education)5	-0.014	-0.014	-0.015	-0.015
	(0.043)	(0.043)	(0.043)	(0.043)
as.factor(rural)2	0.015	0.015	0.015	0.015
	(0.013)	(0.013)	(0.013)	(0.013)
as.factor(scenBlock)2	-0.058***	-0.058***	-0.058***	-0.058***
	(0.014)	(0.014)	(0.014)	(0.014)
as.factor(scenBlock)3	0.039**	0.039**	0.039**	0.039**
	(0.014)	(0.014)	(0.014)	(0.014)
as.factor(income_ordinal)2	0.022	0.022	0.022	0.022
	(0.024)	(0.024)	(0.024)	(0.024)
as.factor(income_ordinal)3	0.000	0.000	0.000	0.000
	(0.023)	(0.023)	(0.023)	(0.023)
as.factor(income_ordinal)4	0.020	0.020	0.020	0.020
	(0.022)	(0.022)	(0.022)	(0.022)
as.factor(income_ordinal)5	0.005	0.005	0.005	0.005
	(0.021)	(0.021)	(0.021)	(0.021)
IR_CC.z	0.018		0.016
	(0.014)		(0.014)
pmi_z	-0.039***	-0.038***	-0.038***	-0.046**
	(0.006)	(0.006)	(0.011)	(0.014)
GDP	0.000	0.000	0.000	0.000
	(0.001)	(0.001)	(0.001)	(0.001)
EPI.z		-0.004		-0.002
		(0.020)		(0.020)
IR_CC.z × pmi_z			0.005
			(0.006)
pmi_z × GDP			0.000	0.000
			(0.000)	(0.000)
EPI.z × pmi_z				-0.011
				(0.008)
SD (Intercept country_sample)	0.066	0.068	0.066	0.068
SD (Observations)	0.746	0.746	0.746	0.746
Num.Obs.	17434	17434	17434	17434
R2 Marg.	0.007	0.007	0.007	0.007
R2 Cond.	0.015	0.015	0.015	0.015
ICC	0.0	0.0	0.0	0.0
RMSE	0.74	0.74	0.74	0.74

	M5	M6	M7
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
(Intercept)	-0.650***	-0.651***	-0.658***
	(0.054)	(0.055)	(0.057)
as.factor(age)3	0.056***	0.056***	0.056***
	(0.017)	(0.017)	(0.017)
as.factor(age)4	0.065***	0.064***	0.063***
	(0.018)	(0.018)	(0.018)
as.factor(age)5	0.030+	0.029+	0.029+
	(0.017)	(0.017)	(0.017)
as.factor(gender)2	0.009	0.009	0.009
	(0.013)	(0.013)	(0.013)
as.factor(gender)3	-0.261	-0.259	-0.257
	(0.279)	(0.279)	(0.279)
as.factor(education)2	0.016	0.015	0.015
	(0.025)	(0.025)	(0.025)
as.factor(education)3	0.005	0.005	0.005
	(0.024)	(0.024)	(0.024)
as.factor(education)4	-0.023	-0.023	-0.023
	(0.022)	(0.022)	(0.022)
as.factor(education)5	-0.054	-0.053	-0.053
	(0.049)	(0.049)	(0.049)
as.factor(rural)2	0.008	0.007	0.007
	(0.015)	(0.015)	(0.015)
as.factor(scenBlock)2	-0.063***	-0.063***	-0.063***
	(0.015)	(0.015)	(0.015)
as.factor(scenBlock)3	0.046**	0.045**	0.045**
	(0.015)	(0.015)	(0.015)
as.factor(income_ordinal)2	0.048+	0.048+	0.047+
	(0.026)	(0.026)	(0.026)
as.factor(income_ordinal)3	0.013	0.013	0.013
	(0.025)	(0.025)	(0.025)
as.factor(income_ordinal)4	0.031	0.031	0.030
	(0.025)	(0.025)	(0.025)
as.factor(income_ordinal)5	0.013	0.012	0.012
	(0.023)	(0.023)	(0.023)
Individualism.z	0.011	0.011	0.007
	(0.017)	(0.017)	(0.018)
pmi_z	-0.038***	-0.008	-0.019
	(0.007)	(0.021)	(0.022)
LTO.z	-0.019	-0.019	-0.019
	(0.017)	(0.017)	(0.018)
TL.z	-0.003	-0.001	-0.002
	(0.015)	(0.015)	(0.016)
Duty_Joy.z	0.013	0.012	0.012
	(0.021)	(0.021)	(0.022)
GDP	-0.001	-0.001	0.000
	(0.001)	(0.001)	(0.002)
Individualism.z × pmi_z		-0.001	-0.005
		(0.008)	(0.008)
pmi_z × LTO.z		0.012	0.013
		(0.008)	(0.008)
pmi_z × TL.z		-0.001	-0.006
		(0.007)	(0.008)
pmi_z × Duty_Joy.z		0.012	0.010
		(0.010)	(0.010)
pmi_z × GDP		-0.001	-0.001
		(0.001)	(0.001)
Masculinity.z			0.007
			(0.018)
pmi_z × Masculinity.z			0.013
			(0.008)
SD (Intercept country_sample)	0.057	0.057	0.059
SD (Observations)	0.735	0.735	0.735
Num.Obs.	13879	13879	13879
R2 Marg.	0.010	0.010	0.010
R2 Cond.	0.016	0.016	0.017
ICC	0.0	0.0	0.0
RMSE	0.73	0.73	0.73

Admin 3 (Natl. Gov.) vs Admin 2 (Electricity Provider)

	M1	M2	M3	M20
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
(Intercept)	-1.554***	-1.438***	-1.559***	-1.442***
	(0.170)	(0.182)	(0.170)	(0.181)
as.factor(age)3	0.149+	0.149+	0.147+	0.147+
	(0.079)	(0.079)	(0.079)	(0.079)
as.factor(age)4	0.169*	0.169*	0.165*	0.166*
	(0.083)	(0.083)	(0.083)	(0.083)
as.factor(age)5	0.258**	0.255**	0.256**	0.252**
	(0.080)	(0.080)	(0.080)	(0.080)
as.factor(gender)2	0.363***	0.363***	0.365***	0.364***
	(0.059)	(0.059)	(0.059)	(0.059)
as.factor(gender)3	1.668	1.654	1.672	1.654
	(1.354)	(1.354)	(1.354)	(1.354)
as.factor(education)2	0.137	0.132	0.138	0.134
	(0.112)	(0.112)	(0.112)	(0.112)
as.factor(education)3	0.042	0.037	0.045	0.041
	(0.110)	(0.109)	(0.110)	(0.109)
as.factor(education)4	-0.152	-0.152	-0.149	-0.148
	(0.099)	(0.099)	(0.099)	(0.099)
as.factor(education)5	0.101	0.104	0.102	0.108
	(0.218)	(0.218)	(0.218)	(0.218)
as.factor(rural)2	-0.021	-0.022	-0.019	-0.021
	(0.066)	(0.066)	(0.066)	(0.066)
as.factor(scenBlock)2	-0.196**	-0.196**	-0.194**	-0.195**
	(0.071)	(0.071)	(0.071)	(0.071)
as.factor(scenBlock)3	1.350***	1.351***	1.351***	1.351***
	(0.071)	(0.071)	(0.071)	(0.071)
as.factor(income_ordinal)2	0.024	0.028	0.021	0.025
	(0.121)	(0.121)	(0.121)	(0.121)
as.factor(income_ordinal)3	-0.047	-0.042	-0.051	-0.046
	(0.115)	(0.115)	(0.115)	(0.115)
as.factor(income_ordinal)4	-0.139	-0.130	-0.141	-0.132
	(0.115)	(0.115)	(0.115)	(0.115)
as.factor(income_ordinal)5	-0.168	-0.156	-0.176+	-0.162
	(0.106)	(0.106)	(0.106)	(0.106)
IR_CC.z	-0.013		-0.029
	(0.057)		(0.058)
pmi_z	-0.210***	-0.209***	-0.137*	-0.071
	(0.030)	(0.030)	(0.057)	(0.072)
GDP	-0.004	-0.007*	-0.004	-0.007*
	(0.002)	(0.003)	(0.002)	(0.003)
EPI.z		0.118		0.115
		(0.076)		(0.076)
IR_CC.z × pmi_z			0.033
			(0.032)
pmi_z × GDP			-0.002	-0.004*
			(0.001)	(0.002)
EPI.z × pmi_z				0.044
				(0.043)
SD (Intercept country_sample)	0.252	0.237	0.255	0.235
SD (Observations)	3.819	3.819	3.819	3.819
Num.Obs.	17434	17434	17434	17434
R2 Marg.	0.038	0.039	0.038	0.039
R2 Cond.	0.042	0.042	0.042	0.043
ICC	0.0	0.0	0.0	0.0
RMSE	3.81	3.81	3.81	3.81

	M5	M6	M7
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
(Intercept)	-1.831***	-1.839***	-1.816***
	(0.243)	(0.242)	(0.250)
as.factor(age)3	0.102	0.104	0.104
	(0.087)	(0.088)	(0.088)
as.factor(age)4	0.201*	0.200*	0.198*
	(0.093)	(0.093)	(0.093)
as.factor(age)5	0.279**	0.278**	0.278**
	(0.090)	(0.090)	(0.090)
as.factor(gender)2	0.348***	0.347***	0.347***
	(0.066)	(0.066)	(0.066)
as.factor(gender)3	1.178	1.173	1.165
	(1.449)	(1.449)	(1.449)
as.factor(education)2	0.055	0.058	0.062
	(0.128)	(0.128)	(0.129)
as.factor(education)3	0.027	0.032	0.039
	(0.126)	(0.126)	(0.127)
as.factor(education)4	-0.135	-0.130	-0.129
	(0.114)	(0.114)	(0.114)
as.factor(education)5	-0.138	-0.136	-0.134
	(0.256)	(0.256)	(0.256)
as.factor(rural)2	0.031	0.034	0.034
	(0.076)	(0.076)	(0.076)
as.factor(scenBlock)2	-0.170*	-0.170*	-0.169*
	(0.080)	(0.080)	(0.080)
as.factor(scenBlock)3	1.478***	1.479***	1.479***
	(0.080)	(0.080)	(0.080)
as.factor(income_ordinal)2	-0.024	-0.027	-0.028
	(0.136)	(0.136)	(0.136)
as.factor(income_ordinal)3	-0.071	-0.074	-0.075
	(0.130)	(0.130)	(0.130)
as.factor(income_ordinal)4	-0.122	-0.124	-0.126
	(0.129)	(0.129)	(0.129)
as.factor(income_ordinal)5	-0.209+	-0.214+	-0.214+
	(0.119)	(0.120)	(0.120)
Individualism.z	-0.015	-0.005	0.003
	(0.068)	(0.068)	(0.073)
pmi_z	-0.180***	-0.290**	-0.327**
	(0.034)	(0.109)	(0.114)
LTO.z	-0.129+	-0.127+	-0.128+
	(0.070)	(0.070)	(0.071)
TL.z	-0.016	-0.019	-0.001
	(0.060)	(0.060)	(0.065)
Duty_Joy.z	-0.060	-0.056	-0.050
	(0.086)	(0.085)	(0.087)
GDP	0.005	0.005	0.004
	(0.006)	(0.005)	(0.006)
Individualism.z × pmi_z		-0.087*	-0.100*
		(0.041)	(0.043)
pmi_z × LTO.z		-0.018	-0.016
		(0.044)	(0.044)
pmi_z × TL.z		-0.004	-0.023
		(0.036)	(0.039)
pmi_z × Duty_Joy.z		0.010	0.002
		(0.052)	(0.053)
pmi_z × GDP		0.003	0.005
		(0.003)	(0.004)
Masculinity.z			-0.040
			(0.071)
pmi_z × Masculinity.z			0.048
			(0.042)
SD (Intercept country_sample)	0.209	0.206	0.212
SD (Observations)	3.822	3.822	3.822
Num.Obs.	13879	13879	13879
R2 Marg.	0.043	0.043	0.043
R2 Cond.	0.046	0.046	0.046
ICC	0.0	0.0	0.0
RMSE	3.82	3.82	3.82