[R] Systemfit
ngwinui Azenui
be||nbeb@ @end|ng |rom y@hoo@c@
Tue May 15 20:22:53 CEST 2018
OK, Let's try this again! Here is the reproducible script; it is long because I had to copy the panel dataset here. My question is related to systemfit; I don't know how to get the result for the entire panel.
#Reproducible script
Empdata<- read.csv("/Users/ngwinuiazenui/Documents/UPLOADemp.csv")
View(Empdata)
install.packages("systemfit")
library("systemfit")
pdata <- plm.data(Empdata, index=c("country","year"))
install.packages("plm")
library("plm")
EmpSur<- systemfit(prd ~ in_emp + ag_emp, method = "SUR", data = pdata)
#When I run the code below, I get a table with reults by country
print(EmpSur)
#An except of the output from running <print(EmpSur)
#caf_(Intercept) caf_in_emp caf_ag_emp cod_(Intercept)
# -0.13243213 14.25003985 -8.57346398 -0.11581997
# cod_in_emp cod_ag_emp eri_(Intercept) eri_in_emp
# 11.58115777 -13.29628753 -0.55615848 23.69284487
# eri_ag_emp eth_(Intercept) eth_in_emp eth_ag_emp
# -6.26339787 0.17436006 34.87782981 -4.80423119
#gin_(Intercept) gin_in_emp gin_ag_emp gmb_(Intercept)
# 0.01122243 -11.22002009 -0.64218211 -0.07104175
# gmb_in_emp gmb_ag_emp gnb_(Intercept) gnb_in_emp
# 9.74177468 3.29511466 -0.07681684 17.00346867
# gnb_ag_emp gnq_(Intercept) gnq_in_emp gnq_ag_emp
# -3.40077876 -0.25706504 -1.09274682 -7.39122680
#Below is the data. Sorry that it's a long panel dataset
dput(Empdata)
Empdata <- structure(list(country = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 26L, 26L, 26L, 26L, 26L, 26L, 26L,
26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L,
26L, 26L, 26L, 26L, 26L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 14L, 14L, 14L, 14L, 14L, 14L,
14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L,
14L, 14L, 14L, 14L, 14L, 14L, 13L, 13L, 13L, 13L, 13L, 13L, 13L,
13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L,
13L, 13L, 13L, 13L, 13L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L,
15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L,
15L, 15L, 15L, 15L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L,
19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L,
19L, 19L, 19L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L,
16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L,
16L, 16L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L,
18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L,
18L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L,
17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L,
20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L,
20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L,
21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L,
21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 23L, 23L,
23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L,
23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L,
24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L,
24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 22L, 22L, 22L, 22L, 22L,
22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L,
22L, 22L, 22L, 22L, 22L, 22L, 22L, 28L, 28L, 28L, 28L, 28L, 28L,
28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L,
28L, 28L, 28L, 28L, 28L, 28L, 27L, 27L, 27L, 27L, 27L, 27L, 27L,
27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L,
27L, 27L, 27L, 27L, 27L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L,
29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L,
29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
30L, 30L, 30L), .Label = c("ago", "bdi", "ben", "bfa", "caf",
"cod", "eri", "eth", "gin", "gmb", "gnb", "gnq", "lbr", "lso",
"mdg", "mli", "moz", "mrt", "mwi", "ner", "rwa", "sdn", "sen",
"sle", "som", "tcd", "tgo", "tza", "uga", "zmb"), class = "factor"),
year = c(1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L,
1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L,
2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L,
1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L,
2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L,
2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L,
1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L,
2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L,
2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L,
1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L,
2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L,
2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L,
1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L,
2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L,
2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L,
1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L,
2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L,
1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L,
2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L,
2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L,
1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L,
2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L,
2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L,
1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L,
2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L,
2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L,
1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L,
2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L,
1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L,
2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L,
2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L,
1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L,
2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L,
2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L,
1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L,
2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L,
2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L,
1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L,
2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L,
2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L,
1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L,
2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L,
1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L,
2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L,
2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L,
1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L,
2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L,
2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L,
1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L,
2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L,
2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L,
1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L,
2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L,
1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L,
2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L,
2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L,
1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L,
2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L,
2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L,
1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L,
2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L,
2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L,
1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L,
2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L,
2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L,
1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L,
2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L,
1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L,
2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L,
2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L,
1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L,
2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L,
2012L, 2013L, 2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L,
1996L, 1997L, 1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L,
2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L,
2014L, 2015L, 1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L,
1998L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L,
2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L,
1991L, 1992L, 1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L,
2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L,
2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 1991L, 1992L,
1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 2000L, 2001L,
2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L,
2011L, 2012L, 2013L, 2014L, 2015L), ag_emp = c(NA, 0.002,
0.019, 0.002, -0.006, -0.014, -0.012, -0.01, -0.006, -0.005,
-0.008, -0.013, -0.01, -0.011, -0.017, -0.021, -0.022, -0.017,
-0.007, -0.004, -0.007, -0.007, -0.007, -0.005, -0.003, NA,
0.002, 0.002, 0.002, 0.002, -0.002, -0.001, -0.001, -0.001,
-0.001, 0, 0.001, 0.006, 0.004, 0.004, 0.003, 0.003, 0.003,
0.003, 0.004, 0.007, 0.004, 0.004, 0.004, -0.002, NA, 0.001,
-0.008, 0.003, 0, -0.005, -0.002, -0.004, -0.003, -0.005,
-0.001, -0.01, -0.003, 0, 0, -0.038, -0.138, -0.055, -0.024,
-0.018, -0.016, -0.014, -0.012, -0.009, -0.007, NA, -0.014,
-0.01, -0.008, -0.007, -0.008, -0.008, -0.008, -0.001, 0,
0.009, 0.009, 0.009, 0.008, 0.007, 0.004, 0.004, 0.004, 0.004,
0.004, -0.002, -0.001, -0.001, -0.002, 0, NA, 0.006, 0.003,
0.002, -0.003, 0.001, 0.001, -0.003, -0.001, 0.003, -0.003,
-0.002, 0.004, 0, 0.001, 0, -0.001, 0.001, 0.001, 0.001,
0.001, 0, 0.027, 0.011, 0.001, NA, -0.01, 0.009, -0.003,
-0.003, -0.004, -0.003, -0.003, -0.002, 0, -0.003, -0.004,
-0.004, -0.006, -0.01, -0.002, 0.001, 0.001, 0.002, 0.001,
-0.001, 0.002, 0.001, 0.002, 0.002, NA, 0.006, 0.008, 0.002,
-0.001, -0.002, 0.003, -0.003, 0.001, 0.005, -0.002, -0.005,
-0.006, -0.005, -0.006, -0.007, -0.006, -0.006, -0.004, -0.005,
-0.007, -0.006, -0.008, -0.007, -0.002, NA, -0.01, -0.015,
-0.014, -0.007, -0.004, -0.006, -0.014, 0, 0.001, -0.011,
-0.005, 0, -0.003, -0.005, 0.003, -0.002, -0.002, 0.004,
0.002, -0.001, 0, 0.001, -0.002, 0.038, NA, -0.009, -0.015,
-0.022, -0.009, -0.003, 0.006, 0.008, 0.009, 0.012, 0.004,
0.017, 0.012, 0.008, 0.009, 0.001, 0.001, 0.004, 0.001, -0.003,
-0.005, -0.006, -0.004, -0.005, -0.004, NA, -0.002, 0.001,
-0.001, -0.001, -0.004, -0.009, -0.008, -0.01, 0.034, -0.012,
0.01, 0.01, 0.009, -0.001, -0.006, -0.006, -0.005, -0.004,
-0.005, -0.005, -0.008, 0.002, -0.007, 0, NA, -0.008, -0.013,
-0.016, -0.009, -0.015, -0.015, -0.011, -0.014, -0.014, -0.016,
-0.018, -0.012, -0.016, -0.019, -0.016, -0.016, -0.016, -0.016,
-0.016, -0.019, -0.014, -0.016, -0.017, -0.003, NA, 0.001,
0.002, 0.002, 0.005, 0.001, 0.002, 0.003, 0.004, 0.006, 0.001,
0.003, 0.005, 0.004, 0.004, 0.004, 0.004, 0.003, 0.006, 0.007,
0.016, 0.002, 0.087, 0.002, 0, NA, -0.009, -0.007, -0.006,
-0.006, -0.013, -0.008, 0.019, 0.006, -0.01, -0.004, -0.002,
-0.002, -0.004, -0.005, -0.006, -0.006, -0.005, -0.005, -0.006,
-0.01, -0.005, -0.003, -0.005, -0.004, NA, -0.006, 0.011,
-0.006, -0.083, 0.084, -0.125, 0.066, 0.064, -0.005, -0.115,
0.101, 0.006, -0.064, -0.054, 0.098, -0.013, -0.007, 0.005,
-0.007, 0.007, -0.004, 0.006, -0.016, -0.008, NA, -0.027,
0.055, 0.044, 0.029, 0.023, -0.045, -0.014, -0.015, -0.012,
-0.003, -0.003, 0.02, 0.003, -0.009, -0.001, -0.013, -0.003,
0, 0.001, -0.006, -0.006, -0.006, -0.002, 0, NA, -0.002,
0.012, -0.01, 0.018, 0.006, 0.004, 0.002, 0, 0.009, -0.005,
0.006, 0.017, 0.036, 0.029, -0.006, -0.001, -0.002, 0.001,
-0.002, -0.007, -0.008, -0.008, -0.006, -0.003, NA, -0.004,
-0.003, -0.002, -0.128, -0.009, -0.006, -0.007, 0.005, 0.005,
0.008, 0.007, 0.006, -0.001, 0.006, 0.007, -0.005, 0.007,
-0.004, -0.003, -0.002, 0, -0.004, -0.001, -0.001, NA, -0.012,
-0.003, 0.007, 0.004, 0.001, -0.02, -0.005, 0.013, -0.012,
-0.017, -0.016, 0.026, -0.011, 0.02, 0.013, 0.011, 0.028,
0.026, 0.031, -0.005, -0.004, -0.007, -0.013, -0.007, NA,
-0.001, -0.006, -0.001, -0.008, -0.007, 0.001, -0.003, -0.005,
-0.001, -0.002, -0.004, -0.007, -0.007, -0.004, -0.011, -0.003,
-0.002, -0.002, -0.002, -0.005, -0.005, -0.005, -0.006, -0.003,
NA, 0.005, 0.016, 0.004, 0.004, 0, -0.007, 0.003, 0.002,
0, 0.003, -0.005, -0.004, -0.007, -0.008, -0.009, -0.011,
-0.011, -0.01, -0.012, -0.014, -0.016, -0.003, 0, 0.001,
NA, -0.009, 0.021, 0.006, -0.013, 0.02, 0.002, -0.003, 0.007,
-0.001, 0.001, 0.003, -0.001, 0, 0.001, -0.004, -0.001, -0.005,
-0.002, -0.004, -0.003, -0.006, -0.004, -0.006, -0.005, NA,
-0.006, 0.029, 0.029, 0.02, 0.001, -0.014, -0.033, -0.002,
-0.016, -0.015, 0.014, -0.015, -0.034, -0.023, -0.001, -0.003,
0.013, -0.015, -0.003, -0.008, -0.008, -0.002, 0.007, 0,
NA, 0, -0.015, -0.015, -0.015, -0.024, -0.015, -0.009, -0.016,
-0.026, -0.019, -0.007, -0.037, -0.027, -0.026, -0.033, 0.042,
0.034, 0.033, 0.041, 0.028, 0.016, 0.006, 0.009, 0.001, NA,
0.009, 0, -0.002, 0.003, -0.005, 0, 0.001, -0.001, 0.003,
0.006, -0.018, -0.008, 0.013, 0.001, -0.002, -0.003, -0.003,
0, 0, -0.003, -0.006, -0.009, -0.005, 0.016, NA, -0.007,
-0.005, -0.004, -0.006, -0.01, -0.01, -0.01, -0.008, -0.006,
-0.009, -0.006, -0.003, -0.005, -0.004, -0.006, -0.006, -0.005,
-0.003, -0.003, -0.005, -0.001, -0.001, -0.001, -0.001, NA,
-0.019, -0.14, 0.006, 0.009, 0.007, 0.044, -0.035, -0.004,
-0.002, -0.017, -0.005, -0.001, -0.004, -0.008, 0.004, -0.003,
-0.011, 0.006, -0.001, -0.004, -0.002, 0.007, -0.003, -0.001,
NA, 0.001, -0.002, -0.001, -0.005, -0.007, -0.002, 0.004,
0.001, 0.002, -0.012, 0.004, -0.009, -0.014, -0.017, -0.029,
-0.044, -0.014, -0.013, -0.017, -0.02, -0.017, -0.025, -0.006,
-0.008, NA, 0.004, 0.009, 0.001, -0.001, -0.008, -0.004,
0.003, 0.003, 0.003, 0.003, 0.003, 0.001, 0, 0.001, -0.002,
-0.002, -0.002, -0.002, -0.003, -0.004, -0.004, -0.004, -0.004,
-0.003, NA, -0.006, -0.005, 0.002, -0.001, -0.004, 0, -0.012,
-0.016, 0.008, -0.017, -0.011, -0.014, 0.015, 0.008, 0.003,
0.009, 0.014, 0.014, 0.012, 0.01, 0.009, 0.009, 0.006, 0.001,
NA, -0.001, 0, 0.015, 0.014, 0.025, 0.022, 0.027, 0.007,
0.007, -0.006, 0.013, 0.016, -0.01, -0.031, -0.003, 0.001,
0.016, -0.008, -0.043, 0.024, 0.025, 0, -0.015, -0.008),
in_emp = c(NA, -0.001, -0.004, 0.005, 0.004, 0.001, 0, 0.001,
0.001, 0.001, 0.001, 0.003, 0, 0.003, 0.004, 0.003, 0.003,
0.001, -0.001, 0.002, 0.001, 0.002, 0.002, 0.002, 0.002,
NA, 0, 0.001, 0.001, 0.001, 0, 0, 0, 0, 0, 0, 0, 0.001, 0.002,
0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.001, 0.001,
0.001, 0.002, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.002,
-0.002, 0.024, 0.046, 0.021, 0.01, 0.008, 0.007, 0.006, 0.006,
0.006, 0.004, NA, -0.001, -0.001, 0, -0.001, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, -0.001,
0, 0.002, 0, -0.002, 0.003, 0, 0, -0.001, 0, 0, -0.001, 0.002,
0, 0.001, 0.001, 0, 0.001, 0.001, 0.001, 0.001, -0.008, 0.007,
0.001, NA, 0, -0.001, 0, 0, 0, 0, 0, 0, 0, 0.001, 0, 0.001,
0.002, -0.001, 0, 0, 0, 0, 0.001, -0.001, 0.001, 0, 0, 0.001,
NA, 0, -0.001, 0.001, 0.001, 0.001, 0.002, -0.002, 0, 0.002,
0, 0, 0.001, 0.002, 0, 0, 0.001, 0.001, 0, 0.002, 0.001,
0.001, 0, 0.002, 0.002, NA, 0.001, -0.001, 0.002, 0, 0, 0.002,
-0.003, -0.001, 0.001, 0.002, 0, 0.001, 0.004, 0, 0, 0.002,
0.001, -0.001, 0.001, 0, 0.001, -0.001, 0, -0.028, NA, -0.001,
0.002, 0.001, 0.001, -0.001, 0.002, 0.001, 0, 0, 0, 0.004,
0, 0, 0.002, 0, 0.001, -0.002, 0.002, 0, 0.002, 0.001, 0,
0, 0.001, NA, 0, 0, 0, 0, 0, -0.001, -0.001, -0.001, 0.004,
-0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001,
0.001, 0.001, 0.001, 0.001, 0.002, 0.001, 0.003, NA, 0.001,
0.003, 0.002, 0.003, 0.003, 0.003, 0.003, 0.003, 0.003, 0.003,
0.003, 0.004, 0.004, 0.003, 0.004, 0.004, 0.004, 0.004, 0.004,
0.003, 0.005, 0.004, 0.004, 0.001, NA, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.002, 0, 0.004,
0, 0.001, NA, 0, 0.001, 0.001, 0.002, 0.002, 0.002, -0.005,
0.008, -0.001, 0.002, 0.001, 0.002, 0.002, 0.002, 0.001,
0.002, 0.002, 0.002, 0.002, 0.003, -0.001, 0.002, 0.002,
0.003, NA, 0.001, 0.003, 0.001, -0.009, 0.014, -0.016, 0.01,
0.01, 0.002, -0.015, 0.015, 0.004, -0.009, -0.006, 0.018,
0, 0.001, 0.002, 0.001, 0.003, 0.001, 0.003, -0.001, 0.001,
NA, -0.017, -0.008, -0.007, -0.006, -0.004, 0.006, 0.002,
0.001, 0.003, 0, 0.001, -0.007, 0.006, 0, 0.003, 0, 0.001,
0.002, 0.003, 0.001, 0.001, 0.001, -0.001, 0.001, NA, -0.004,
-0.001, -0.006, -0.001, -0.003, -0.004, -0.004, -0.005, -0.005,
-0.007, -0.008, -0.021, -0.02, -0.012, 0.004, 0.005, 0.005,
0.007, 0.008, 0.009, 0.01, 0.008, 0.003, 0.002, NA, -0.002,
0.003, -0.002, 0.013, 0, 0, 0, 0.001, 0, 0, 0.002, 0.002,
0, 0.001, 0, 0, 0.001, 0.001, 0, 0, 0, 0.001, 0.001, 0.001,
NA, -0.001, 0, 0.001, 0.001, 0.001, 0, 0.001, 0.002, 0, 0.002,
-0.001, 0.004, 0, 0.003, 0.003, 0.002, 0.004, 0.004, 0.004,
0.001, 0, 0.001, 0.001, 0.002, NA, 0.003, 0.003, -0.001,
0.005, 0.001, -0.001, 0.003, 0.004, 0.001, 0.003, 0.001,
0.003, 0.002, 0.005, 0.006, 0, 0.002, 0.001, 0.004, 0.002,
0.003, 0.002, 0.002, 0.002, NA, -0.001, 0.002, 0, 0, 0.001,
0, 0.001, 0.001, 0, 0.001, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-0.001, 0.001, 0.001, 0.001, NA, -0.003, 0.006, 0.003, -0.003,
0.007, 0.001, 0.004, 0, 0, 0.004, 0, 0, -0.002, 0.002, 0,
0, 0.001, -0.002, 0.002, -0.001, 0.002, -0.001, 0.001, 0.001,
NA, 0, 0.001, 0.001, 0.001, 0, 0, 0, 0.001, 0, 0.001, 0.003,
0.004, 0.003, 0.004, 0.004, 0.004, 0.005, 0.004, 0.005, 0.005,
0.005, 0.006, 0.003, 0.004, NA, 0, -0.004, -0.004, -0.003,
-0.005, -0.003, -0.001, -0.002, -0.004, 0.003, 0.009, 0.001,
0.004, 0.005, 0.002, 0.012, 0.009, 0.01, 0.013, 0.01, 0.008,
0.003, 0.004, 0.003, NA, -0.003, 0.002, 0, -0.001, 0, -0.001,
0.002, -0.001, 0.004, -0.001, 0.001, -0.001, 0.002, 0, 0,
0.001, 0.001, 0, 0.001, 0.001, 0.002, 0.003, 0, -0.004, NA,
0, 0.001, -0.001, 0.002, 0, 0, 0, 0, 0, 0, 0, 0, 0.001, 0.001,
0.001, 0.001, 0, 0.001, 0.002, 0.001, 0.001, 0.002, 0.002,
0.002, NA, -0.001, 0.066, 0.001, 0.004, 0.003, 0.027, -0.018,
-0.001, 0.001, -0.006, 0, 0.003, 0, -0.001, 0.006, 0.003,
-0.003, 0.004, 0, 0.001, 0.003, 0.004, 0, 0.001, NA, -0.002,
-0.002, -0.002, -0.002, -0.002, -0.001, -0.001, -0.001, -0.001,
-0.002, 0.014, 0.003, 0.003, 0.003, 0.002, -0.007, 0.002,
0.002, 0.002, 0.002, 0.002, 0.002, 0.003, 0.003, NA, 0, -0.002,
0.005, 0.002, -0.002, 0.002, 0, 0.002, 0, 0.001, 0.001, 0.002,
0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001,
0.001, 0.001, 0.002, NA, 0, 0.001, 0.001, 0.001, 0.001, 0.002,
0.002, 0.006, 0.007, 0.006, 0.008, 0.008, -0.019, -0.015,
0.005, 0.006, 0.007, 0.008, -0.006, -0.006, -0.005, -0.005,
-0.003, 0.002, NA, -0.002, -0.002, 0, -0.001, -0.001, -0.004,
-0.003, -0.005, -0.004, 0.002, 0.004, 0.004, 0.002, 0, 0.001,
0.002, 0.003, 0.002, -0.003, 0.004, 0.004, 0.001, 0, 0),
sv_emp = c(NA, 0, -0.007, 0, 0.005, 0.008, 0.007, 0.007,
0.005, 0.005, 0.004, 0.006, 0.007, 0.007, 0.009, 0.01, 0.011,
0.011, 0.008, 0.007, 0.006, 0.007, 0.008, 0.008, 0.005, NA,
0, 0.002, 0.002, 0.002, -0.001, -0.001, 0, 0, -0.001, -0.001,
-0.001, -0.003, -0.001, -0.001, -0.003, -0.003, -0.003, -0.003,
-0.003, -0.005, -0.001, 0, 0, 0.005, NA, 0.001, 0.001, 0.005,
0.004, 0.004, 0.004, 0.004, 0.005, 0.005, 0.005, 0.004, 0.006,
0.004, 0.004, 0.018, 0.083, 0.036, 0.016, 0.013, 0.01, 0.009,
0.009, 0.009, 0.007, NA, -0.001, -0.001, -0.001, -0.001,
-0.002, -0.001, 0, 0, 0, 0.001, 0.001, 0, 0.001, 0, 0.001,
0.001, 0.001, 0.001, 0.001, 0, 0, 0.001, 0.001, 0, NA, -0.004,
0, 0, 0.005, -0.001, -0.001, 0.003, 0.002, 0, 0.001, 0.001,
-0.002, 0.001, 0.001, 0.002, 0.003, 0.003, 0.002, 0.003,
0.003, 0.004, -0.014, -0.005, 0.004, NA, 0.002, -0.005, 0.001,
0, -0.001, 0, 0.001, -0.001, -0.002, 0.001, 0.001, 0.003,
0.007, 0.008, 0, 0, 0, 0.001, 0.003, 0.001, 0.002, 0.002,
0.002, 0.002, NA, -0.006, -0.006, -0.003, 0.001, -0.001,
-0.005, 0.003, 0, -0.005, 0, 0.003, 0.004, 0.003, 0.005,
0.004, 0.004, 0.004, 0.004, 0.005, 0.005, 0.005, 0.008, 0.005,
0.003, NA, 0.002, -0.002, 0, -0.004, 0.002, 0.007, -0.006,
0, 0.001, 0.007, 0.002, 0.005, 0.012, 0.006, -0.001, 0.007,
0.005, -0.001, 0.002, 0.004, 0.003, 0.002, -0.004, -0.016,
NA, -0.002, 0.002, 0.006, -0.001, 0.009, 0.005, 0.003, 0.003,
0.001, 0.009, 0.001, 0.003, 0.004, 0.003, 0.001, 0.001, -0.002,
0, 0.002, 0.003, 0.004, 0.003, 0.001, 0.002, NA, 0.025, -0.016,
-0.005, -0.006, -0.003, -0.001, 0.001, -0.005, 0, -0.002,
0.004, 0.001, 0.002, -0.003, -0.005, -0.007, -0.009, -0.006,
-0.005, -0.013, -0.002, 0.003, -0.007, -0.007, NA, 0.003,
0.01, 0.009, 0.012, 0.01, 0.01, 0.013, 0.012, 0.013, 0.011,
0.01, 0.016, 0.013, 0.011, 0.013, 0.013, 0.013, 0.013, 0.013,
0.008, 0.015, 0.011, 0.009, 0.005, NA, 0.001, 0.001, 0.002,
0.003, 0.002, 0.002, 0.002, 0.003, 0.003, 0.002, 0.002, 0.003,
0.003, 0.003, 0.003, 0.003, 0.002, 0.003, 0.002, -0.002,
0.001, 0.02, 0.001, 0.002, NA, 0.005, 0.004, 0.004, 0.006,
0.009, 0.007, -0.007, -0.002, 0.011, 0.006, 0.006, 0.005,
0.007, 0.008, 0.007, 0.008, 0.008, 0.008, 0.009, 0.009, 0.007,
0.005, 0.006, 0.006, NA, 0.003, 0.008, 0.004, -0.02, 0.031,
-0.033, 0.023, 0.021, 0.007, -0.033, 0.035, 0.011, -0.02,
-0.013, 0.044, 0.001, 0.003, 0.007, 0.002, 0.011, 0.004,
0.009, -0.003, 0, NA, 0.048, -0.043, -0.035, -0.025, -0.014,
0.044, 0.015, 0.007, 0.019, 0.002, 0.003, -0.011, -0.005,
0, 0.007, -0.001, 0.008, 0.006, 0.008, 0.005, 0.006, 0.007,
0.004, 0.004, NA, -0.002, 0.001, -0.003, 0.003, 0, 0, -0.001,
-0.002, -0.001, -0.004, -0.002, -0.002, -0.001, -0.001, 0.004,
0.005, 0.005, 0.005, 0.005, 0.004, 0.004, 0.006, 0.003, 0.003,
NA, 0, 0.002, 0, 0.116, 0.004, 0.002, 0.003, 0.003, 0.003,
-0.001, 0.002, 0.004, 0.002, 0.004, 0.001, 0.001, 0.007,
0.004, 0.003, 0.002, 0.001, 0.001, 0.003, 0.003, NA, 0.004,
-0.002, 0.004, 0.006, 0.002, 0, 0.004, 0.012, 0.003, 0, 0.002,
0.018, 0.002, 0.015, 0.016, 0.012, 0.02, 0.021, 0.024, 0.005,
0.003, 0.002, 0.002, 0.004, NA, 0.007, 0.006, 0.006, 0.005,
0.008, 0.007, 0.005, 0.008, 0.009, 0.007, 0.005, 0.005, 0.007,
0.012, 0.011, 0.013, 0.007, 0.005, 0.008, 0.006, 0.007, 0.007,
0.006, 0.005, NA, 0.001, 0.004, 0.004, 0.003, 0.002, 0.004,
0.005, 0.004, 0.002, 0.003, 0.003, 0.002, 0.002, 0.002, 0,
0.001, 0, 0, 0, -0.001, -0.001, 0.003, 0.004, 0.003, NA,
-0.006, 0.01, 0.006, -0.001, 0.01, 0.005, 0.003, 0.007, 0,
0.004, 0.002, 0, 0, -0.001, 0.002, 0.002, 0.001, 0, 0.001,
0.001, 0.002, 0.003, 0.001, 0.002, NA, 0.001, 0.004, 0.004,
0.003, 0.002, 0.001, -0.001, 0.002, 0.002, 0.003, 0.013,
0.021, 0.022, 0.029, 0.001, 0, 0.004, -0.002, 0, -0.001,
-0.001, 0.001, 0.002, 0.006, NA, 0.013, 0.004, 0.004, 0.004,
-0.001, 0.004, 0.009, 0.004, -0.003, 0.007, 0.019, -0.008,
0.001, 0.002, -0.007, -0.02, -0.029, -0.03, -0.025, -0.031,
-0.021, -0.008, -0.004, 0.003, NA, -0.007, -0.002, 0.001,
-0.002, 0.002, 0, -0.002, 0.001, -0.005, -0.005, 0.012, 0.007,
0.01, 0.003, 0.003, 0.004, 0.005, 0.004, 0.005, 0.005, 0.008,
0.012, 0.009, -0.005, NA, -0.001, 0.001, 0, 0, 0.001, 0.001,
0, 0, 0.001, 0.001, 0.001, 0.001, 0.002, 0.003, 0.003, 0.003,
0.002, 0.003, 0.004, 0.004, 0.004, 0.006, 0.006, 0.004, NA,
0.021, 0.073, 0.021, 0.008, -0.001, -0.08, 0.049, -0.002,
-0.006, 0.017, -0.001, -0.007, 0, 0.005, -0.017, -0.006,
-0.001, 0.005, 0.003, 0.002, -0.001, -0.009, 0, 0.002, NA,
0.004, 0.003, 0.003, 0.003, 0.003, 0.004, 0.005, 0.004, 0.005,
0.002, 0.002, 0.013, 0.013, 0.013, 0.011, 0.067, -0.004,
-0.004, -0.005, -0.006, -0.006, -0.008, -0.001, 0.005, NA,
0.002, -0.003, 0.008, 0.008, 0.014, 0.012, 0.005, 0.006,
0.005, 0.004, 0.004, 0.007, 0.006, 0.005, 0.006, 0.004, 0.004,
0.004, 0.005, 0.005, 0.005, 0.006, 0.006, 0.005, NA, -0.001,
-0.001, 0.001, 0.001, 0, 0.003, -0.001, -0.003, 0.005, -0.003,
-0.001, -0.002, -0.002, -0.003, -0.012, -0.009, -0.008, -0.007,
0.007, 0.007, 0.007, 0.007, 0.006, 0.004, NA, -0.003, -0.002,
0.003, 0.002, 0.005, 0.003, -0.002, -0.005, -0.005, -0.006,
0, 0, -0.007, -0.013, 0.001, 0.002, 0.007, 0, -0.011, 0.01,
0.01, 0.002, -0.001, 0), emp_pop = c(NA, 0.001, 0.007, 0.007,
0.003, -0.005, -0.004, -0.002, 0, 0.001, -0.003, -0.003,
-0.003, -0.002, -0.004, -0.008, -0.008, -0.006, 0.001, 0.004,
0, 0.002, 0.003, 0.005, 0.003, NA, 0.003, 0.004, 0.004, 0.004,
-0.002, -0.002, -0.001, -0.001, -0.001, 0, 0, 0.005, 0.005,
0.005, 0.001, 0.002, 0.002, 0.003, 0.003, 0.004, 0.004, 0.005,
0.005, 0.006, NA, 0.003, -0.007, 0.008, 0.004, -0.001, 0.002,
0.001, 0.002, 0, 0.004, -0.006, 0.003, 0.002, 0.002, 0.004,
-0.01, 0.001, 0.002, 0.002, 0.001, 0.002, 0.003, 0.006, 0.004,
NA, -0.015, -0.012, -0.01, -0.009, -0.01, -0.008, -0.008,
-0.001, 0, 0.01, 0.01, 0.01, 0.009, 0.008, 0.006, 0.005,
0.005, 0.005, 0.005, -0.001, 0, 0, -0.001, -0.001, NA, 0.002,
0.003, 0.004, 0.001, -0.002, 0.003, -0.001, 0.001, 0.003,
-0.002, 0, 0.001, 0.003, 0.002, 0.002, 0.003, 0.004, 0.004,
0.005, 0.005, 0.005, 0.004, 0.014, 0.006, NA, -0.008, 0.003,
-0.002, -0.003, -0.005, -0.003, -0.002, -0.003, -0.001, -0.002,
-0.003, -0.001, 0.002, -0.003, -0.002, 0, 0.001, 0.003, 0.005,
-0.001, 0.004, 0.003, 0.005, 0.005, NA, 0, 0, 0, 0, -0.003,
0, -0.002, 0, 0.002, -0.002, -0.002, -0.002, 0, -0.001, -0.003,
-0.001, 0, 0, 0.001, -0.001, 0, 0, 0.001, 0.003, NA, -0.007,
-0.019, -0.012, -0.011, -0.001, 0.004, -0.023, 0, 0.004,
-0.002, -0.003, 0.005, 0.013, 0.002, 0.002, 0.007, 0.004,
0.002, 0.005, 0.004, 0.004, 0.001, -0.006, -0.006, NA, -0.012,
-0.012, -0.015, -0.01, 0.005, 0.013, 0.013, 0.012, 0.013,
0.013, 0.022, 0.015, 0.013, 0.014, 0.002, 0.003, 0, 0.003,
-0.001, 0.001, -0.001, -0.001, -0.003, -0.001, NA, 0.023,
-0.015, -0.006, -0.006, -0.007, -0.01, -0.007, -0.015, 0.037,
-0.015, 0.015, 0.012, 0.012, -0.002, -0.009, -0.012, -0.013,
-0.009, -0.009, -0.016, -0.009, 0.007, -0.012, -0.004, NA,
-0.003, 0, -0.004, 0.006, -0.003, -0.002, 0.005, 0.002, 0.002,
-0.002, -0.006, 0.007, 0, -0.005, 0, 0.001, 0.001, 0.001,
0.001, -0.009, 0.006, -0.001, -0.005, 0.003, NA, 0.002, 0.003,
0.005, 0.008, 0.003, 0.004, 0.006, 0.006, 0.009, 0.003, 0.005,
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0.518, 0.509, 0.914, 0.914, 0.915, 0.916, 0.917, 0.918, 0.918,
0.917, 0.917, 0.917, 0.917, 0.916, 0.917, 0.916, 0.916, 0.915,
0.915, 0.914, 0.914, 0.913, 0.913, 0.912, 0.911, 0.911, 0.911,
0.628, 0.633, 0.634, 0.634, 0.629, 0.632, 0.631, 0.628, 0.627,
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0.832, 0.83, 0.83, 0.83, 0.83, 0.829, 0.829, 0.831, 0.829,
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0.614, 0.607, 0.603, 0.533, 0.527, 0.521, 0.514, 0.512, 0.509,
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0.722, 0.724, 0.719, 0.72, 0.722, 0.721, 0.72, 0.72, 0.719,
0.722, 0.721, 0.718, 0.713, 0.708, 0.705, 0.702, 0.7, 0.831,
0.83, 0.829, 0.828, 0.827, 0.826, 0.825, 0.824, 0.823, 0.82,
0.819, 0.817, 0.814, 0.81, 0.802, 0.794, 0.786, 0.777, 0.768,
0.758, 0.748, 0.738, 0.727, 0.716, 0.709, 0.652, 0.646, 0.633,
0.621, 0.608, 0.595, 0.581, 0.567, 0.552, 0.537, 0.522, 0.507,
0.491, 0.474, 0.458, 0.442, 0.425, 0.409, 0.392, 0.376, 0.359,
0.343, 0.327, 0.312, 0.308, 0.755, 0.755, 0.755, 0.753, 0.752,
0.752, 0.751, 0.75, 0.749, 0.748, 0.747, 0.746, 0.745, 0.744,
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0.749, 0.747, 0.65, 0.644, 0.638, 0.632, 0.625, 0.613, 0.605,
0.619, 0.618, 0.607, 0.601, 0.596, 0.591, 0.584, 0.576, 0.569,
0.561, 0.553, 0.545, 0.536, 0.525, 0.52, 0.514, 0.508, 0.501,
0.755, 0.751, 0.746, 0.741, 0.741, 0.731, 0.733, 0.728, 0.723,
0.714, 0.716, 0.71, 0.701, 0.703, 0.7, 0.688, 0.683, 0.678,
0.674, 0.67, 0.662, 0.658, 0.652, 0.649, 0.646, 0.463, 0.435,
0.487, 0.53, 0.561, 0.58, 0.533, 0.517, 0.506, 0.489, 0.486,
0.483, 0.502, 0.503, 0.499, 0.493, 0.487, 0.481, 0.478, 0.473,
0.467, 0.46, 0.453, 0.45, 0.448, 0.704, 0.707, 0.71, 0.714,
0.717, 0.721, 0.725, 0.73, 0.735, 0.742, 0.749, 0.758, 0.779,
0.803, 0.82, 0.812, 0.805, 0.796, 0.787, 0.776, 0.765, 0.752,
0.74, 0.734, 0.73, 0.805, 0.806, 0.802, 0.803, 0.675, 0.669,
0.666, 0.662, 0.661, 0.661, 0.664, 0.664, 0.662, 0.66, 0.659,
0.66, 0.658, 0.655, 0.651, 0.648, 0.646, 0.645, 0.643, 0.64,
0.638, 0.736, 0.73, 0.731, 0.729, 0.725, 0.723, 0.718, 0.713,
0.707, 0.702, 0.695, 0.689, 0.683, 0.678, 0.673, 0.665, 0.659,
0.653, 0.646, 0.64, 0.634, 0.63, 0.626, 0.619, 0.612, 0.51,
0.505, 0.498, 0.495, 0.486, 0.478, 0.475, 0.47, 0.462, 0.457,
0.452, 0.447, 0.44, 0.432, 0.423, 0.409, 0.402, 0.397, 0.394,
0.388, 0.382, 0.375, 0.368, 0.362, 0.357, 0.832, 0.833, 0.831,
0.828, 0.826, 0.824, 0.819, 0.815, 0.812, 0.811, 0.808, 0.804,
0.802, 0.799, 0.795, 0.793, 0.791, 0.788, 0.787, 0.784, 0.782,
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0.578, 0.576, 0.571, 0.569, 0.569, 0.565, 0.565, 0.565, 0.566,
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0.675, 0.668, 0.665, 0.663, 0.66, 0.655, 0.651, 0.648, 0.644,
0.639, 0.63, 0.618, 0.611, 0.623, 0.701, 0.699, 0.697, 0.696,
0.693, 0.689, 0.685, 0.682, 0.679, 0.677, 0.673, 0.671, 0.669,
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0.722, 0.72, 0.717, 0.714, 0.711, 0.708, 0.705, 0.703, 0.701,
0.698, 0.695), inemp_share = c(0.091, 0.089, 0.085, 0.089,
0.092, 0.094, 0.095, 0.096, 0.097, 0.098, 0.099, 0.103, 0.103,
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0.09, 0.091, 0.092, 0.094, 0.096, 0.098, 0.092, 0.098, 0.097,
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0.111, 0.107, 0.101, 0.095, 0.088, 0.067, 0.047, 0.034, 0.038,
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0.07, 0.07, 0.07, 0.071, 0.072, 0.071, 0.071, 0.072, 0.071,
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0.148, 0.151, 0.156, 0.154, 0.155, 0.155, 0.158, 0.159, 0.161,
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0.062, 0.058, 0.06, 0.063, 0.066, 0.069, 0.071, 0.073, 0.074,
0.075, 0.078, 0.079, 0.08, 0.081, 0.081, 0.082, 0.083), svemp_share = c(0.294,
0.293, 0.284, 0.282, 0.286, 0.295, 0.304, 0.311, 0.317, 0.321,
0.326, 0.333, 0.341, 0.349, 0.359, 0.372, 0.386, 0.399, 0.407,
0.412, 0.418, 0.424, 0.43, 0.436, 0.44, 0.467, 0.466, 0.466,
0.466, 0.466, 0.466, 0.466, 0.467, 0.467, 0.467, 0.466, 0.465,
0.46, 0.456, 0.453, 0.449, 0.445, 0.442, 0.438, 0.434, 0.427,
0.424, 0.422, 0.421, 0.424, 0.068, 0.07, 0.071, 0.076, 0.079,
0.083, 0.087, 0.091, 0.096, 0.1, 0.105, 0.11, 0.115, 0.119,
0.122, 0.139, 0.224, 0.259, 0.274, 0.286, 0.296, 0.305, 0.313,
0.32, 0.326, 0.062, 0.062, 0.061, 0.061, 0.06, 0.059, 0.059,
0.059, 0.059, 0.059, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06,
0.061, 0.061, 0.062, 0.062, 0.063, 0.063, 0.064, 0.064, 0.064,
0.276, 0.272, 0.271, 0.27, 0.275, 0.274, 0.273, 0.275, 0.277,
0.276, 0.277, 0.279, 0.277, 0.278, 0.278, 0.279, 0.281, 0.283,
0.284, 0.286, 0.288, 0.29, 0.274, 0.266, 0.268, 0.149, 0.153,
0.147, 0.148, 0.148, 0.148, 0.148, 0.149, 0.149, 0.147, 0.148,
0.15, 0.153, 0.159, 0.168, 0.168, 0.168, 0.168, 0.168, 0.171,
0.172, 0.173, 0.174, 0.176, 0.178, 0.254, 0.248, 0.241, 0.238,
0.239, 0.238, 0.233, 0.237, 0.237, 0.232, 0.232, 0.236, 0.24,
0.243, 0.248, 0.252, 0.256, 0.261, 0.265, 0.269, 0.274, 0.279,
0.287, 0.292, 0.295, 0.357, 0.362, 0.367, 0.371, 0.372, 0.374,
0.38, 0.383, 0.383, 0.383, 0.39, 0.394, 0.397, 0.403, 0.409,
0.408, 0.412, 0.415, 0.413, 0.413, 0.415, 0.417, 0.418, 0.417,
0.403, 0.18, 0.18, 0.184, 0.193, 0.193, 0.201, 0.203, 0.204,
0.205, 0.203, 0.209, 0.206, 0.205, 0.207, 0.207, 0.208, 0.208,
0.206, 0.206, 0.208, 0.211, 0.216, 0.219, 0.221, 0.223, 0.105,
0.106, 0.107, 0.108, 0.109, 0.11, 0.111, 0.112, 0.113, 0.115,
0.116, 0.118, 0.121, 0.124, 0.131, 0.138, 0.146, 0.154, 0.162,
0.171, 0.18, 0.189, 0.199, 0.209, 0.213, 0.281, 0.285, 0.295,
0.305, 0.316, 0.326, 0.337, 0.348, 0.36, 0.372, 0.384, 0.396,
0.408, 0.421, 0.434, 0.446, 0.459, 0.471, 0.484, 0.496, 0.509,
0.521, 0.532, 0.544, 0.547, 0.178, 0.179, 0.179, 0.181, 0.182,
0.184, 0.185, 0.186, 0.188, 0.189, 0.19, 0.192, 0.193, 0.194,
0.196, 0.197, 0.198, 0.2, 0.201, 0.201, 0.197, 0.197, 0.195,
0.195, 0.197, 0.261, 0.267, 0.271, 0.276, 0.282, 0.291, 0.298,
0.289, 0.284, 0.295, 0.3, 0.304, 0.308, 0.313, 0.319, 0.325,
0.332, 0.338, 0.344, 0.351, 0.359, 0.365, 0.368, 0.373, 0.378,
0.159, 0.162, 0.167, 0.171, 0.169, 0.178, 0.175, 0.18, 0.184,
0.191, 0.188, 0.194, 0.201, 0.199, 0.2, 0.21, 0.214, 0.218,
0.222, 0.225, 0.231, 0.234, 0.239, 0.241, 0.243, 0.402, 0.448,
0.403, 0.367, 0.342, 0.327, 0.369, 0.383, 0.393, 0.407, 0.41,
0.412, 0.4, 0.394, 0.398, 0.402, 0.406, 0.411, 0.415, 0.418,
0.423, 0.428, 0.434, 0.438, 0.439, 0.162, 0.162, 0.162, 0.161,
0.161, 0.16, 0.16, 0.159, 0.159, 0.157, 0.156, 0.154, 0.153,
0.15, 0.146, 0.15, 0.153, 0.157, 0.16, 0.163, 0.166, 0.169,
0.174, 0.177, 0.179, 0.137, 0.138, 0.14, 0.14, 0.255, 0.261,
0.264, 0.268, 0.268, 0.269, 0.267, 0.265, 0.267, 0.269, 0.27,
0.268, 0.27, 0.273, 0.277, 0.28, 0.282, 0.283, 0.284, 0.287,
0.288, 0.212, 0.218, 0.217, 0.219, 0.222, 0.224, 0.228, 0.232,
0.237, 0.242, 0.246, 0.252, 0.257, 0.262, 0.266, 0.273, 0.278,
0.284, 0.29, 0.296, 0.301, 0.305, 0.308, 0.313, 0.318, 0.36,
0.363, 0.368, 0.372, 0.377, 0.384, 0.388, 0.391, 0.396, 0.401,
0.405, 0.409, 0.414, 0.42, 0.427, 0.435, 0.444, 0.448, 0.451,
0.454, 0.459, 0.464, 0.469, 0.474, 0.477, 0.137, 0.137, 0.138,
0.141, 0.143, 0.144, 0.148, 0.152, 0.154, 0.156, 0.158, 0.161,
0.163, 0.166, 0.169, 0.17, 0.173, 0.175, 0.176, 0.178, 0.18,
0.182, 0.185, 0.188, 0.19, 0.31, 0.309, 0.308, 0.309, 0.313,
0.312, 0.314, 0.316, 0.319, 0.319, 0.319, 0.32, 0.32, 0.321,
0.319, 0.321, 0.323, 0.325, 0.326, 0.327, 0.329, 0.331, 0.335,
0.337, 0.34, 0.065, 0.067, 0.068, 0.069, 0.071, 0.072, 0.074,
0.076, 0.078, 0.081, 0.085, 0.095, 0.115, 0.139, 0.166, 0.166,
0.166, 0.166, 0.166, 0.166, 0.165, 0.165, 0.166, 0.166, 0.17,
0.288, 0.297, 0.305, 0.314, 0.323, 0.331, 0.34, 0.349, 0.358,
0.367, 0.377, 0.388, 0.398, 0.408, 0.418, 0.427, 0.394, 0.36,
0.325, 0.291, 0.259, 0.237, 0.228, 0.222, 0.224, 0.27, 0.263,
0.261, 0.263, 0.261, 0.263, 0.264, 0.262, 0.263, 0.258, 0.252,
0.266, 0.274, 0.277, 0.279, 0.281, 0.285, 0.289, 0.291, 0.294,
0.298, 0.305, 0.315, 0.323, 0.316, 0.213, 0.214, 0.216, 0.218,
0.219, 0.222, 0.224, 0.227, 0.229, 0.231, 0.234, 0.236, 0.237,
0.24, 0.243, 0.246, 0.249, 0.252, 0.255, 0.259, 0.263, 0.265,
0.269, 0.273, 0.276, 0.318, 0.339, 0.412, 0.421, 0.42, 0.415,
0.339, 0.389, 0.389, 0.386, 0.405, 0.407, 0.402, 0.404, 0.41,
0.396, 0.393, 0.397, 0.396, 0.398, 0.401, 0.4, 0.39, 0.391,
0.392, 0.118, 0.121, 0.124, 0.128, 0.131, 0.134, 0.138, 0.142,
0.145, 0.149, 0.153, 0.152, 0.164, 0.176, 0.189, 0.203, 0.266,
0.266, 0.266, 0.266, 0.266, 0.266, 0.266, 0.266, 0.271, 0.332,
0.332, 0.328, 0.332, 0.337, 0.349, 0.358, 0.36, 0.362, 0.364,
0.365, 0.366, 0.37, 0.373, 0.376, 0.38, 0.383, 0.386, 0.389,
0.393, 0.397, 0.402, 0.406, 0.411, 0.415, 0.227, 0.228, 0.228,
0.229, 0.229, 0.23, 0.232, 0.233, 0.234, 0.234, 0.235, 0.235,
0.235, 0.235, 0.234, 0.223, 0.212, 0.202, 0.191, 0.196, 0.2,
0.205, 0.209, 0.214, 0.216, 0.252, 0.251, 0.249, 0.248, 0.246,
0.244, 0.242, 0.235, 0.23, 0.226, 0.222, 0.218, 0.214, 0.21,
0.206, 0.208, 0.209, 0.211, 0.212, 0.213, 0.215, 0.216, 0.218,
0.22, 0.222)), .Names = c("country", "year", "ag_emp", "in_emp",
"sv_emp", "emp_pop", "prd", "gnipc", "agemp_share", "inemp_share",
"svemp_share"), class = "data.frame", row.names = c(NA, -750L
))
On Tuesday, May 15, 2018, 1:18:28 PM EDT, Jeff Newmiller <jdnewmil using dcn.davis.ca.us> wrote:
... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal.
On May 15, 2018 7:04:31 AM PDT, Bert Gunter <bgunter.4567 using gmail.com> wrote:
>Unless there is good reason not to, always cc the list -- there are
>lots of
>smarter folks than I on it who can help.
>
>I may or may not have time to look at this. Hopefully someone else
>will.
>
>-- Bert
>
>Bert Gunter
>
>"The trouble with having an open mind is that people keep coming along
>and
>sticking things into it."
>-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>On Mon, May 14, 2018 at 9:56 PM, ngwinui Azenui <belinbebs using yahoo.ca>
>wrote:
>
>> Hi Bert:
>>
>> I have attached a reproducible script. Please let me know if this is
>> sufficient.
>>
>> On Thursday, May 10, 2018, 4:47:00 AM EDT, Bert Gunter <
>> bgunter.4567 using gmail.com> wrote:
>>
>>
>> I think for us to "bear with you" you will first need to "bear with
>us" by
>> posting an intelligible question and following the posting guide
>linked
>> below. In particular, we generally require that you show us your
>efforts --
>> which so far appear to be "none" -- typically including a small
>> reproducible example showing us what you did, what went wrong, and
>what you
>> want. See also here for how to do that:
>>
>> [1] http://stackoverflow.com/ questions/5963269/how-to-make-
>> a-great-r-reproducible-example
>>
><http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example>
>> [2] http://adv-r.had.co.nz/ Reproducibility.html
>> <http://adv-r.had.co.nz/Reproducibility.html>
>>
>> You are far more likely to get useful answers if you follow the
>guidelines
>> of this list -- which also means that you should post in **plain
>text,**
>> not HTML, which often gets mangled by the list server.
>>
>> Cheers,
>> Bert
>>
>>
>>
>> Bert Gunter
>>
>> "The trouble with having an open mind is that people keep coming
>along and
>> sticking things into it."
>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>>
>> On Wed, May 9, 2018 at 2:56 PM, ngwinui Azenui via R-help <
>> r-help using r-project.org> wrote:
>>
>> I am new to R, so bear with me if my question is trivial. I ran a
>system
>> of simultaneous equations with panel data and using the systemfit
>program,
>> but the results came out by country. I want the results for the
>entire
>> panel and not by country. What command will I use? Thanks!
>> Belinda
>> [[alternative HTML version deleted]]
>>
>> ______________________________ ________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/ listinfo/r-help
>> <https://stat.ethz.ch/mailman/listinfo/r-help>
>> PLEASE do read the posting guide http://www.R-project.org/
>> posting-guide.html <http://www.R-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>>
>
> [[alternative HTML version deleted]]
>
>______________________________________________
>R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
--
Sent from my phone. Please excuse my brevity.
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