Stargazer

Code - R

~/code/R/

Stargazer options

Cheatsheets. html

• ``

Summary Stats

Table

Display Summary Stats

both %>% head %>% print_table

year	month	day	delay	temp	wind	precip	quarter	hot
2013	1	1	17.483553	36.81909	13.233970	0	1	FALSE
2013	1	2	25.322674	28.70000	10.884461	0	1	FALSE
2013	1	3	8.450451	29.57750	8.582901	0	1	FALSE
2013	1	4	12.103858	34.33250	14.001157	0	1	FALSE
2013	1	5	5.696203	36.56000	9.398037	0	1	FALSE
2013	1	6	12.383333	39.92000	9.110342	0	1	FALSE

stargazer(both, type = "html")

Statistic	N	Mean	St. Dev.	Min	Pctl(25)	Pctl(75)	Max
year	364	2,013.000	0.000	2,013	2,013	2,013	2,013
month	364	6.511	3.445	1	4	9.2	12
day	364	15.679	8.784	1	8	23	31
delay	364	15.080	13.883	-1.349	5.446	20.007	97.771
temp	364	55.531	17.598	15.455	40.114	71.647	91.085
wind	364	9.464	4.398	2.637	6.797	11.508	56.388
precip	364	0.121	0.335	0	0	0.03	4
hot	364	0.022	0.147	0	0	0	1

stargazer(both, type = "html", summary.stat = c("n", "p75", "sd"))

Statistic	N	Pctl(75)	St. Dev.
year	364	2,013	0.000
month	364	9.2	3.445
day	364	23	8.784
delay	364	20.007	13.883
temp	364	71.647	17.598
wind	364	11.508	4.398
precip	364	0.03	0.335
hot	364	0	0.147

stargazer(both, type = "html", flip = TRUE)

Statistic	year	month	day	delay	temp	wind	precip	hot
N	364	364	364	364	364	364	364	364
Mean	2,013.000	6.511	15.679	15.080	55.531	9.464	0.121	0.022
St. Dev.	0.000	3.445	8.784	13.883	17.598	4.398	0.335	0.147
Min	2,013	1	1	-1.349	15.455	2.637	0	0
Pctl(25)	2,013	4	8	5.446	40.114	6.797	0	0
Pctl(75)	2,013	9.2	23	20.007	71.647	11.508	0.03	0
Max	2,013	12	31	97.771	91.085	56.388	4	1

Regressions

Model

output  <- lm(delay ~ temp + wind + precip, data = both)
output2 <- lm(delay ~ temp + wind + precip + quarter, data = both)
output3 <- ivreg(delay ~ temp + wind + precip | . - temp + hot, data = both)

output %>% 
  summary

# 
# Call:
# lm(formula = delay ~ temp + wind + precip, data = both)
# 
# Residuals:
#     Min      1Q  Median      3Q     Max 
# -47.164  -8.150  -3.148   4.667  70.493 
# 
# Coefficients:
#             Estimate Std. Error t value Pr(>|t|)    
# (Intercept)  6.15166    2.98897   2.058   0.0403 *  
# temp         0.07905    0.03933   2.010   0.0452 *  
# wind         0.28523    0.15741   1.812   0.0708 .  
# precip      15.25495    2.01280   7.579 2.98e-13 ***
# ---
# Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# 
# Residual standard error: 12.82 on 360 degrees of freedom
# Multiple R-squared:  0.1541,  Adjusted R-squared:  0.147 
# F-statistic: 21.86 on 3 and 360 DF,  p-value: 5.003e-13

Display Regression Results

stargazer(output, output2, type = "html")

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246
	(2.989)	(3.412)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Regressions - Options

Change style

stargazer(output, output2, type = "html", style = "qje")

	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246
	(2.989)	(3.412)
N	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Notes:	***Significant at the 1 percent level.
	**Significant at the 5 percent level.
	*Significant at the 10 percent level.

Label columns, dep.var, covariate

stargazer(output, output2, type = "html", 
          title            = "These are awesome results!",
          covariate.labels = c("Temperature", "Wind speed", "Rain (inches)",
                               "2nd quarter", "3rd quarter", "Fourth quarter"),
          dep.var.caption  = "A better caption",
          dep.var.labels   = "Flight delay (in minutes)")

These are awesome results!

	A better caption
	Flight delay (in minutes)
	(1)	(2)
Temperature	0.079**	0.164**
	(0.039)	(0.066)
Wind speed	0.285*	0.237
	(0.157)	(0.157)
Rain (inches)	15.255***	14.845***
	(2.013)	(2.004)
2nd quarter		-2.060
		(2.579)
3rd quarter		-6.755**
		(3.121)
Fourth quarter		-4.408**
		(2.037)
Constant	6.152**	5.246
	(2.989)	(3.412)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Change the column.labels

stargazer(output, output2, type = "html", column.labels = c("Good", "Better"))

	Dependent variable:
	delay
	Good	Better
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246
	(2.989)	(3.412)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Column Separator

stargazer(output, output, output2, output2, type = "html", 
          column.labels   = c("Good", "Better"),
          column.separate = c(2, 2))

	Dependent variable:
	delay
	Good		Better
	(1)	(2)	(3)	(4)
temp	0.079**	0.079**	0.164**	0.164**
	(0.039)	(0.039)	(0.066)	(0.066)
wind	0.285*	0.285*	0.237	0.237
	(0.157)	(0.157)	(0.157)	(0.157)
precip	15.255***	15.255***	14.845***	14.845***
	(2.013)	(2.013)	(2.004)	(2.004)
quarter2			-2.060	-2.060
			(2.579)	(2.579)
quarter3			-6.755**	-6.755**
			(3.121)	(3.121)
quarter4			-4.408**	-4.408**
			(2.037)	(2.037)
Constant	6.152**	6.152**	5.246	5.246
	(2.989)	(2.989)	(3.412)	(3.412)
Observations	364	364	364	364
R2	0.154	0.154	0.175	0.175
Adjusted R2	0.147	0.147	0.161	0.161
Residual Std. Error	12.822 (df = 360)	12.822 (df = 360)	12.718 (df = 357)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Report t-statistics

stargazer(output, output2, type = "html",
          report = "vct*")

	Dependent variable:
	delay
	(1)	(2)
temp	0.079	0.164
	t = 2.010**	t = 2.479**
wind	0.285	0.237
	t = 1.812*	t = 1.507
precip	15.255	14.845
	t = 7.579***	t = 7.407***
quarter2		-2.060
		t = -0.799
quarter3		-6.755
		t = -2.164**
quarter4		-4.408
		t = -2.164**
Constant	6.152	5.246
	t = 2.058**	t = 1.537
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Model Names

stargazer(output, output2, output3, type = "html")

	Dependent variable:
	delay
	OLS		instrumental
			variable
	(1)	(2)	(3)
temp	0.079**	0.164**	0.041
	(0.039)	(0.066)	(0.135)
wind	0.285*	0.237	0.250
	(0.157)	(0.157)	(0.198)
precip	15.255***	14.845***	15.335***
	(2.013)	(2.004)	(2.034)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246	8.577
	(2.989)	(3.412)	(8.797)
Observations	364	364	364
R2	0.154	0.175	0.152
Adjusted R2	0.147	0.161	0.145
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)	12.839 (df = 360)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Multicolumn = F

stargazer(output, output2, output3, type = "html",
          multicolumn = FALSE)

	Dependent variable:
	delay	delay	delay
	OLS	OLS	instrumental
			variable
	(1)	(2)	(3)
temp	0.079**	0.164**	0.041
	(0.039)	(0.066)	(0.135)
wind	0.285*	0.237	0.250
	(0.157)	(0.157)	(0.198)
precip	15.255***	14.845***	15.335***
	(2.013)	(2.004)	(2.034)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246	8.577
	(2.989)	(3.412)	(8.797)
Observations	364	364	364
R2	0.154	0.175	0.152
Adjusted R2	0.147	0.161	0.145
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)	12.839 (df = 360)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Add custom row

stargazer(output, output2, type = "html",
          add.lines = list(c("Fixed effects?", "No", "No"),
                           c("Results believable?", "Maybe", "Try again later")))

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246
	(2.989)	(3.412)
Fixed effects?	No	No
Results believable?	Maybe	Try again later
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Confidence intervals

stargazer(output, output2, type = "html", ci = TRUE)

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.002, 0.156)	(0.034, 0.294)
wind	0.285*	0.237
	(-0.023, 0.594)	(-0.071, 0.545)
precip	15.255***	14.845***
	(11.310, 19.200)	(10.917, 18.773)
quarter2		-2.060
		(-7.116, 2.995)
quarter3		-6.755**
		(-12.872, -0.638)
quarter4		-4.408**
		(-8.401, -0.416)
Constant	6.152**	5.246
	(0.293, 12.010)	(-1.442, 11.934)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Adjust confidence intervals

stargazer(output, output2, type = "html",
          ci = TRUE, ci.level = 0.90)

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.014, 0.144)	(0.055, 0.273)
wind	0.285*	0.237
	(0.026, 0.544)	(-0.022, 0.496)
precip	15.255***	14.845***
	(11.944, 18.566)	(11.548, 18.141)
quarter2		-2.060
		(-6.303, 2.182)
quarter3		-6.755**
		(-11.889, -1.622)
quarter4		-4.408**
		(-7.759, -1.058)
Constant	6.152**	5.246
	(1.235, 11.068)	(-0.367, 10.858)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Robust standard errors

cov1         <- vcovHC(output, type = "HC1")
robust_se    <- sqrt(diag(cov1))

# Adjust F statistic 
wald_results <- waldtest(output, vcov = cov1)

stargazer(output, output, type = "html",
          se        = list(NULL, robust_se),
          omit.stat = "f",
          add.lines = list(c("F Statistic (df = 3; 360)", "12.879***", "7.73***")))

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.079*
	(0.039)	(0.041)
wind	0.285*	0.285
	(0.157)	(0.177)
precip	15.255***	15.255***
	(2.013)	(4.827)
Constant	6.152**	6.152**
	(2.989)	(3.074)
F Statistic (df = 3; 360)	12.879***	7.73***
Observations	364	364
R2	0.154	0.154
Adjusted R2	0.147	0.147
Residual Std. Error (df = 360)	12.822	12.822
Note:	p<0.1; p<0.05; p<0.01

Compress table output

stargazer(output, output2, type = "html",
          single.row = TRUE)

	Dependent variable:
	delay
	(1)	(2)
temp	0.079** (0.039)	0.164** (0.066)
wind	0.285* (0.157)	0.237 (0.157)
precip	15.255*** (2.013)	14.845*** (2.004)
quarter2		-2.060 (2.579)
quarter3		-6.755** (3.121)
quarter4		-4.408** (2.037)
Constant	6.152** (2.989)	5.246 (3.412)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Omit (example: fixed effects)

stargazer(output, output2, type = "html", omit = "quarter")

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
Constant	6.152**	5.246
	(2.989)	(3.412)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Report Omitted

stargazer(output, output2, type = "html", 
          omit        = "quarter",
          omit.labels = "Quarter dummies?")

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
Constant	6.152**	5.246
	(2.989)	(3.412)
Quarter dummies?	No	No
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Omit Summary Stats

stargazer(output, output2, type = "html", 
          omit.stat = c("rsq", "f"))

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246
	(2.989)	(3.412)
Observations	364	364
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
Note:	p<0.1; p<0.05; p<0.01

Omit Degrees of Freedom

stargazer(output, output2, type = "html", 
          df = FALSE)

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246
	(2.989)	(3.412)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822	12.718
F Statistic	21.860***	12.593***
Note:	p<0.1; p<0.05; p<0.01

Change significance cutoffs

stargazer(output, output2, type = "html", 
          star.cutoffs = c(0.05, 0.01, 0.001))

	Dependent variable:
	delay
	(1)	(2)
temp	0.079*	0.164*
	(0.039)	(0.066)
wind	0.285	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
quarter2		-2.060
		(2.579)
quarter3		-6.755*
		(3.121)
quarter4		-4.408*
		(2.037)
Constant	6.152*	5.246
	(2.989)	(3.412)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
Note:	p<0.05; p<0.01; p<0.001

Change Notes

stargazer(output, output2, type = "html", 
          notes        = "Sometimes you just have to start over.", 
          notes.append = FALSE,
          notes.align = "l", 
          notes.label = "New note label")

	Dependent variable:
	delay
	(1)	(2)
temp	0.079**	0.164**
	(0.039)	(0.066)
wind	0.285*	0.237
	(0.157)	(0.157)
precip	15.255***	14.845***
	(2.013)	(2.004)
quarter2		-2.060
		(2.579)
quarter3		-6.755**
		(3.121)
quarter4		-4.408**
		(2.037)
Constant	6.152**	5.246
	(2.989)	(3.412)
Observations	364	364
R2	0.154	0.175
Adjusted R2	0.147	0.161
Residual Std. Error	12.822 (df = 360)	12.718 (df = 357)
F Statistic	21.860*** (df = 3; 360)	12.593*** (df = 6; 357)
New note label	Sometimes you just have to start over.

Change decimal character

stargazer(output, output2, type = "html", 
          decimal.mark = ",")

	Dependent variable:
	delay
	(1)	(2)
temp	0,079**	0,164**
	(0,039)	(0,066)
wind	0,285*	0,237
	(0,157)	(0,157)
precip	15,255***	14,845***
	(2,013)	(2,004)
quarter2		-2,060
		(2,579)
quarter3		-6,755**
		(3,121)
quarter4		-4,408**
		(2,037)
Constant	6,152**	5,246
	(2,989)	(3,412)
Observations	364	364
R2	0,154	0,175
Adjusted R2	0,147	0,161
Residual Std. Error	12,822 (df = 360)	12,718 (df = 357)
F Statistic	21,860*** (df = 3; 360)	12,593*** (df = 6; 357)
Note:	p<0,1; p<0,05; p<0,01

Control number of decimal places

stargazer(output, output2, type = "html", 
          digits = 1)

	Dependent variable:
	delay
	(1)	(2)
temp	0.1**	0.2**
	(0.04)	(0.1)
wind	0.3*	0.2
	(0.2)	(0.2)
precip	15.3***	14.8***
	(2.0)	(2.0)
quarter2		-2.1
		(2.6)
quarter3		-6.8**
		(3.1)
quarter4		-4.4**
		(2.0)
Constant	6.2**	5.2
	(3.0)	(3.4)
Observations	364	364
R2	0.2	0.2
Adjusted R2	0.1	0.2
Residual Std. Error	12.8 (df = 360)	12.7 (df = 357)
F Statistic	21.9*** (df = 3; 360)	12.6*** (df = 6; 357)
Note:	p<0.1; p<0.05; p<0.01

Examples

Phillips curve regressions

CPGREN_log_f_d4 <- dataraw %>%
  select(countryname, yearqtr, CPGREN, UNR) %>%
  na.omit %>%
  group_by(countryname) %>%
  mutate(CPGREN_log_f = hpfilter(log(CPGREN), freq = 100000, type = "lambda")$cycle,
         UNR_f = hpfilter(UNR, freq = 100000, type = "lambda")$cycle,
         CPGREN_log_f_d4 = CPGREN_log_f - lag(CPGREN_log_f, 4)) %>%
  ungroup %>%
  lm(CPGREN_log_f_d4 ~ UNR_f, data = .)

HPI_RPI <- dataraw %>%
  select(countryname, yearqtr, HPI_RPI, UNR) %>%
  na.omit %>%
  group_by(countryname) %>%
  mutate(HPI_RPI_log_f = hpfilter(log(HPI_RPI), freq = 100000, type = "lambda")$cycle,
         UNR_f = hpfilter(UNR, freq = 100000, type = "lambda")$cycle,
         HPI_RPI_log_f_d4 = HPI_RPI_log_f - lag(HPI_RPI_log_f, 4)) %>%
  ungroup %>%
  lm(HPI_RPI_log_f_d4 ~ UNR_f, data = .)

RPI <- dataraw %>%
  select(countryname, yearqtr, RPI, UNR) %>%
  na.omit %>%
  group_by(countryname) %>%
  mutate(RPI_log_f = hpfilter(log(RPI), freq = 100000, type = "lambda")$cycle,
         UNR_f = hpfilter(UNR, freq = 100000, type = "lambda")$cycle,
         RPI_log_f_d4 = RPI_log_f - lag(RPI_log_f, 4)) %>%
  ungroup %>%
  lm(RPI_log_f_d4 ~ UNR_f, data = .) 

if (knitr::is_html_output()) type <- "html" else type <- "latex"
stargazer(CPGREN_log_f_d4, HPI_RPI, RPI,
          header = F,
          df = F,
          title = "\\textsc{Phillips Curve}",
          dep.var.labels = c("Energy", "House Prices", "Rents"),
          covariate.labels = "Unemployment",
          intercept.bottom = FALSE,
          omit.stat = c("f", "ser", "rsq"),
          omit = "Constant",
          style = "qje", 
          notes       = "Panel of 35 OECD Countries. Standard-errors are clustered.", 
          notes.append = FALSE,
          notes.align = "l", 
          notes.label = "Note:",
          type = type)

Phillips Curve

	Energy	House Prices	Rents
	(1)	(2)	(3)
Unemployment	-0.247***	-0.980***	-0.723***
	(0.069)	(0.073)	(0.042)
N	4,987	4,049	4,444
Adjusted R2	0.002	0.043	0.062
Note:	Panel of 35 OECD Countries. Standard-errors are clustered.