Year | OMN |
1970 | 11266 |
1971 | 7622 |
1972 | 6323 |
1973 | 5051 |
1974 | 7338 |
1975 | 8022 |
1976 | 8360 |
1977 | 9361 |
1978 | 9659 |
1979 | 10927 |
1980 | 11499 |
1981 | 12803 |
1982 | 12766 |
1983 | 12423 |
1984 | 13064 |
1985 | 14032 |
1986 | 10192 |
1987 | 10054 |
1988 | 8809 |
1989 | 9238 |
1990 | 10591 |
1991 | 9918 |
1992 | 10263 |
1993 | 10045 |
1994 | 9747 |
1995 | 10199 |
1996 | 11054 |
1997 | 11784 |
1998 | 11560 |
1999 | 13501 |
2000 | 16173 |
2001 | 16853 |
2002 | 18508 |
2003 | 20329 |
2004 | 25768 |
2005 | 26647 |
2006 | 38458 |
2007 | 40960 |
2008 | 47136 |
2009 | 38538 |
2010 | 40305 |
2011 | 44477 |
2012 | 47334 |
2013 | 44979 |
2014 | 40855 |
2015 | 32460 |
2016 | 29939 |
2017 | 28249 |
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The data set on the right contains the real per capita GDP for 2 countries from the Penn World Table (PWT) version 9.1 (Feenstra et al., 2015). The column names are the country codes, OMN and PSE. You may copy the dataset to Excel or R to do the computati
How would I calculate real GDP per capita and real GDP per hour given the following data? Year 16.9 Nominal Population, GDP at annual market average of prices, Annual Working GDP PPP mid-quarter billions of Number of average Age Labour Employmen exchange estimates current CPI Jobs hours per Population Force t rate, (thousands) CADS 2007-100 (thousands) worker (thousands) (thousands) (thousands) USS/CADS 1961 18224.5 42.0 14.1 1962 18570.8 45.7 14.3 1963 18919.0 49.2 14.4 1964 19277.3 53.9 14.7 1965 19633.5 59.5...