Data Preparation

준비한 자료는 E. Saez 교수의 홈페이지에 있는 TabFig2017prel.xls` 를 손봐서 불러들인 것이다.

options(digits = 3)
library(xlsx)
US_top_income_shares_17 <- read.xlsx("../data/TabFig2017prel.xlsx",
                                     sheetIndex = 9, 
                                     sheetName = "Table A3", 
                                     startRow = 6, 
                                     endRow = 110, 
                                     colIndex = c(1:7, 9:13), 
                                     colClasses = c("integer", rep("numeric", 12)),
                                     header = FALSE)
v_names <- c("Year", "P90_100", "P95_100", "P99_100", "P99.5_100", "P99.9_100", "P99.99_100", "P90_95", "P95_99", "P99_99.5", "P99.5_99.9", "P99.9_99.99")
names(US_top_income_shares_17) <- v_names
str(US_top_income_shares_17)
ls()
library(knitr)
kable(format(US_top_income_shares_17, digits = 1, nsmall = 1), align = "r")
Year P90_100 P95_100 P99_100 P99.5_100 P99.9_100 P99.99_100 P90_95 P95_99 P99_99.5 P99.5_99.9 P99.9_99.99
1913 NA NA 18.0 14.7 8.6 2.8 NA NA 3.2 6.1 5.9
1914 NA NA 18.2 15.1 8.6 2.7 NA NA 3.1 6.5 5.9
1915 NA NA 17.6 14.6 9.2 4.4 NA NA 3.0 5.4 4.9
1916 NA NA 19.3 16.4 10.5 4.8 NA NA 2.9 5.9 5.7
1917 40.5 30.6 17.7 14.3 8.4 3.4 9.9 12.9 3.4 5.9 5.0
1918 40.1 29.5 16.0 12.4 6.7 2.5 10.6 13.5 3.5 5.7 4.3
1919 40.3 30.2 16.4 12.6 6.6 2.3 10.1 13.8 3.8 6.0 4.3
1920 39.0 28.3 14.8 11.1 5.4 1.7 10.7 13.5 3.7 5.8 3.7
1921 43.2 30.8 15.6 11.7 5.6 1.7 12.4 15.2 3.9 6.1 3.9
1922 43.7 31.9 17.1 13.1 6.6 2.3 11.8 14.9 4.0 6.4 4.4
1923 41.5 29.8 15.6 11.9 5.9 2.0 11.7 14.1 3.7 6.0 3.9
1924 44.4 32.1 17.4 13.4 6.8 2.3 12.3 14.7 4.0 6.6 4.5
1925 46.4 35.0 20.2 15.9 8.5 3.3 11.3 14.8 4.4 7.3 5.2
1926 45.7 34.6 19.9 15.5 8.5 3.4 11.1 14.7 4.4 7.1 5.1
1927 46.7 35.7 21.0 16.6 9.3 3.8 11.0 14.7 4.4 7.3 5.5
1928 49.3 38.6 23.9 19.4 11.5 5.0 10.7 14.6 4.5 7.9 6.5
1929 46.7 36.5 22.4 18.1 10.9 5.0 10.2 14.1 4.3 7.2 5.9
1930 43.9 32.1 17.2 13.2 7.1 2.8 11.8 14.8 4.0 6.1 4.2
1931 44.5 31.2 15.5 11.6 5.9 2.2 13.3 15.7 3.9 5.7 3.6
1932 46.4 32.7 15.6 11.6 6.0 2.0 13.7 17.1 3.9 5.7 4.0
1933 45.6 33.2 16.5 12.5 6.6 2.3 12.4 16.7 4.0 5.9 4.3
1934 45.8 33.7 16.4 12.3 6.1 2.1 12.1 17.3 4.1 6.2 4.1
1935 44.5 32.3 16.7 12.6 6.4 2.2 12.2 15.6 4.0 6.2 4.2
1936 46.6 34.6 19.3 14.9 7.6 2.5 12.0 15.4 4.4 7.3 5.0
1937 44.2 32.3 17.1 13.0 6.5 2.2 12.0 15.1 4.1 6.5 4.3
1938 44.1 31.3 15.8 11.8 5.9 2.2 12.7 15.6 4.0 5.9 3.7
1939 45.5 32.3 16.2 12.1 5.9 2.0 13.2 16.1 4.1 6.2 3.9
1940 45.3 32.2 16.5 12.3 6.0 2.0 13.1 15.7 4.1 6.3 4.0
1941 41.9 30.0 15.8 11.9 5.8 2.0 11.9 14.2 3.9 6.1 3.8
1942 36.1 25.8 13.4 10.1 4.8 1.5 10.3 12.4 3.4 5.3 3.3
1943 33.7 24.1 12.3 9.1 4.3 1.2 9.6 11.8 3.2 4.9 3.0
1944 32.5 22.8 11.3 8.3 3.8 1.2 9.7 11.5 3.0 4.5 2.6
1945 34.4 24.8 12.5 9.1 4.2 1.3 9.6 12.3 3.4 5.0 2.9
1946 36.7 26.8 13.3 9.6 4.4 1.5 9.9 13.5 3.7 5.2 2.9
1947 34.3 24.7 12.0 8.6 3.9 1.3 9.7 12.7 3.3 4.7 2.6
1948 35.0 25.1 12.2 8.9 4.1 1.3 10.0 12.8 3.3 4.8 2.7
1949 34.8 24.5 11.7 8.5 3.8 1.2 10.2 12.8 3.3 4.6 2.6
1950 35.6 25.5 12.8 9.4 4.4 1.2 10.0 12.7 3.4 5.0 3.2
1951 34.2 24.2 11.8 8.5 3.9 1.3 10.0 12.4 3.3 4.6 2.6
1952 33.2 23.1 10.8 7.7 3.4 1.1 10.1 12.3 3.1 4.3 2.3
1953 32.3 22.0 9.9 7.0 3.1 1.0 10.3 12.1 2.9 4.0 2.1
1954 33.6 23.3 10.8 7.7 3.5 1.2 10.3 12.5 3.1 4.2 2.3
1955 33.9 23.6 11.1 8.0 3.7 1.3 10.3 12.5 3.1 4.2 2.4
1956 33.5 23.1 10.7 7.7 3.5 1.2 10.3 12.5 3.0 4.2 2.3
1957 33.0 22.6 10.2 7.2 3.2 1.1 10.4 12.4 2.9 4.0 2.1
1958 33.6 22.9 10.2 7.3 3.2 1.1 10.6 12.7 2.9 4.0 2.1
1959 34.0 23.4 10.6 7.7 3.4 1.2 10.6 12.7 2.9 4.3 2.3
1960 33.5 22.6 10.0 7.1 3.2 1.2 10.9 12.5 2.9 3.9 2.1
1961 34.3 23.5 10.6 7.7 3.7 1.4 10.8 12.9 3.0 4.0 2.3
1962 33.7 22.8 9.9 7.1 3.2 1.2 10.9 12.9 2.9 3.9 2.0
1963 33.8 22.8 9.9 7.0 3.1 1.1 10.9 12.9 2.9 3.9 2.0
1964 34.4 23.5 10.5 7.4 3.4 1.3 10.9 13.0 3.1 4.0 2.1
1965 34.8 23.9 10.9 7.7 3.7 1.5 10.9 13.0 3.2 4.1 2.2
1966 33.7 22.9 10.2 7.2 3.4 1.3 10.8 12.7 3.0 3.8 2.1
1967 34.4 23.7 10.7 7.7 3.7 1.4 10.7 13.0 3.1 4.0 2.3
1968 34.8 24.2 11.2 8.1 4.0 1.6 10.7 12.9 3.1 4.1 2.4
1969 33.9 23.1 10.4 7.4 3.7 1.6 10.8 12.7 2.9 3.8 2.1
1970 32.6 21.7 9.0 6.3 2.8 1.0 11.0 12.6 2.8 3.5 1.8
1971 33.3 22.3 9.4 6.6 3.0 1.1 11.1 12.9 2.8 3.6 1.9
1972 33.6 22.5 9.6 6.8 3.1 1.2 11.1 12.9 2.9 3.7 1.9
1973 33.3 22.2 9.2 6.3 2.8 0.9 11.1 13.1 2.9 3.5 1.8
1974 33.3 22.1 9.1 6.3 2.7 0.9 11.2 13.0 2.8 3.6 1.8
1975 33.4 22.0 8.9 6.1 2.6 0.8 11.5 13.1 2.8 3.5 1.7
1976 33.4 22.0 8.9 6.1 2.6 0.9 11.4 13.1 2.8 3.5 1.7
1977 33.6 22.1 9.0 6.2 2.7 0.9 11.5 13.1 2.8 3.5 1.8
1978 33.5 22.0 9.0 6.2 2.6 0.9 11.5 13.1 2.8 3.5 1.8
1979 34.2 22.9 10.0 7.1 3.4 1.4 11.3 13.0 2.8 3.7 2.1
1980 34.6 23.2 10.0 7.1 3.4 1.3 11.5 13.1 2.9 3.7 2.1
1981 34.5 23.0 10.0 7.2 3.6 1.4 11.5 13.0 2.8 3.7 2.2
1982 35.3 23.8 10.8 8.0 4.2 1.7 11.5 13.0 2.8 3.8 2.4
1983 36.4 24.9 11.6 8.6 4.6 1.9 11.5 13.3 2.9 4.0 2.7
1984 36.7 25.3 12.0 9.0 5.0 2.2 11.4 13.3 3.0 4.1 2.8
1985 37.6 26.1 12.7 9.6 5.3 2.2 11.4 13.4 3.0 4.3 3.1
1986 40.6 29.5 15.9 12.6 7.4 3.3 11.1 13.6 3.3 5.2 4.1
1987 38.2 26.5 12.7 9.4 4.9 1.9 11.7 13.9 3.2 4.5 3.0
1988 40.6 29.3 15.5 12.1 6.8 2.9 11.3 13.8 3.4 5.3 3.9
1989 40.1 28.5 14.5 11.1 6.0 2.5 11.5 14.1 3.4 5.1 3.5
1990 40.0 28.4 14.3 10.9 5.8 2.3 11.6 14.1 3.4 5.1 3.5
1991 39.5 27.7 13.4 10.0 5.1 2.0 11.8 14.4 3.4 4.9 3.2
1992 40.8 29.1 14.7 11.2 6.0 2.5 11.8 14.4 3.5 5.2 3.6
1993 40.7 28.8 14.2 10.8 5.7 2.3 11.9 14.6 3.5 5.0 3.4
1994 40.8 28.9 14.2 10.7 5.7 2.3 11.9 14.7 3.5 5.0 3.4
1995 42.1 30.2 15.2 11.6 6.2 2.5 11.9 15.0 3.7 5.4 3.7
1996 43.5 31.8 16.7 12.9 7.2 3.1 11.7 15.1 3.8 5.7 4.2
1997 44.6 33.1 18.0 14.2 8.2 3.5 11.5 15.1 3.9 6.0 4.7
1998 45.4 34.1 19.1 15.2 9.0 3.9 11.3 15.0 3.9 6.2 5.1
1999 46.5 35.2 20.0 16.0 9.6 4.2 11.3 15.2 4.0 6.4 5.4
2000 47.6 36.6 21.5 17.5 10.9 5.1 11.0 15.1 4.1 6.6 5.8
2001 44.8 33.4 18.2 14.3 8.4 3.7 11.5 15.1 3.9 6.0 4.7
2002 43.8 32.1 16.9 13.0 7.3 3.1 11.8 15.2 3.8 5.7 4.2
2003 44.5 32.8 17.5 13.7 7.9 3.5 11.8 15.2 3.9 5.8 4.4
2004 46.4 35.0 19.8 15.7 9.5 4.3 11.4 15.2 4.0 6.3 5.1
2005 48.3 37.2 21.9 17.8 11.0 5.1 11.2 15.2 4.1 6.8 5.9
2006 49.3 38.1 22.8 18.6 11.6 5.5 11.2 15.3 4.2 7.0 6.1
2007 49.7 38.7 23.5 19.3 12.3 6.0 11.1 15.2 4.2 7.0 6.2
2008 48.2 36.5 20.9 16.9 10.4 5.0 11.7 15.6 4.1 6.5 5.4
2009 46.5 34.1 18.1 14.2 8.3 3.9 12.4 16.0 4.0 5.9 4.4
2010 48.0 35.9 19.9 15.8 9.7 4.8 12.2 16.0 4.0 6.2 4.9
2011 48.1 35.9 19.6 15.5 9.3 4.3 12.2 16.2 4.1 6.3 4.9
2012 50.6 38.8 22.8 18.6 11.7 5.8 11.8 16.0 4.2 6.9 5.9
2013 48.6 36.4 20.0 15.8 9.4 4.5 12.2 16.4 4.2 6.4 5.0
2014 49.9 37.9 21.5 17.2 10.6 5.1 12.0 16.4 4.3 6.7 5.4
2015 50.0 38.0 21.6 17.3 10.6 5.1 12.0 16.4 4.3 6.7 5.5
2016 49.5 37.4 20.7 16.4 9.9 4.7 12.2 16.7 4.3 6.6 5.2
2017 50.1 38.1 21.5 17.2 10.4 4.9 12.0 16.7 4.3 6.7 5.5

Save Data

saveRDS(US_top_income_shares_17, file = "./US_top_income.RDS")
save.image(file = "US_top_income_shares_2017.RData")