I am currently trying to regress the growth rate of a variable on its initial level and an intercept. Specifically, the compound annual growth rate of GDP per capita is the dependent variable, and the regressor is the initial level of GDP. The growth rate is estimated over periods of 10 years, so the initial level GDP would be the GDP prevailing in the 1st year of each 10 year-period. An example of the data is provided below:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str3 countrycode int year float gdp "DEU" 1991 33836.418 "DEU" 1992 34227.57 "DEU" 1993 33670.29 "DEU" 1994 34358.34 "DEU" 1995 34783.29 "DEU" 1996 34967.477 "DEU" 1997 35539.133 "DEU" 1998 36251.195 "DEU" 1999 36913.184 "DEU" 2000 37930.484 "DEU" 2001 38509.605 "DEU" 2002 38368.617 "DEU" 2003 38073.76 "DEU" 2004 38535.17 "DEU" 2005 38835.383 "DEU" 2006 40362.29 "DEU" 2007 41622.36 "DEU" 2008 42102.85 "DEU" 2009 39804.92 "DEU" 2010 41531.93 "DEU" 2011 43969.26 "DEU" 2012 44070.92 "DEU" 2013 44139.03 "DEU" 2014 44933.72 "DEU" 2015 45321.4 "DEU" 2016 45959.57 "DEU" 2017 46916.82 "FIN" 1991 31250.535 "FIN" 1992 30043.363 "FIN" 1993 29692.36 "FIN" 1994 30727.863 "FIN" 1995 31901.844 "FIN" 1996 32963.473 "FIN" 1997 34947.375 "FIN" 1998 36756.746 "FIN" 1999 38277.61 "FIN" 2000 40403.55 "FIN" 2001 41363.69 "FIN" 2002 41967.97 "FIN" 2003 42706.92 "FIN" 2004 44283.16 "FIN" 2005 45358.56 "FIN" 2006 47004.62 "FIN" 2007 49285.27 "FIN" 2008 49440.97 "FIN" 2009 45231.96 "FIN" 2010 46459.97 "FIN" 2011 47423.21 "FIN" 2012 46538.58 "FIN" 2013 45906.8 "FIN" 2014 45550.5 "FIN" 2015 45655.22 "FIN" 2016 46720.56 "FIN" 2017 48033.29 "FRA" 1991 32683.35 "FRA" 1992 33041.363 "FRA" 1993 32691.684 "FRA" 1994 33338.34 "FRA" 1995 33917.926 "FRA" 1996 34275.605 "FRA" 1997 34952.523 "FRA" 1998 36073.637 "FRA" 1999 37116.41 "FRA" 2000 38309.44 "FRA" 2001 38786.086 "FRA" 2002 38942.28 "FRA" 2003 38985.535 "FRA" 2004 39794.64 "FRA" 2005 40152.69 "FRA" 2006 40850.36 "FRA" 2007 41582.8 "FRA" 2008 41456.48 "FRA" 2009 40058.68 "FRA" 2010 40638.34 "FRA" 2011 41329.04 "FRA" 2012 41258.27 "FRA" 2013 41282.99 "FRA" 2014 41480.77 "FRA" 2015 41793.54 "FRA" 2016 42141.84 "FRA" 2017 43001.59 "NLD" 1991 36286.313 "NLD" 1992 36627.406 "NLD" 1993 36830.414 "NLD" 1994 37693.047 "NLD" 1995 38676.07 "NLD" 1996 39844.98 "NLD" 1997 41356.45 "NLD" 1998 43019.19 "NLD" 1999 44885.09 "NLD" 2000 46435.21 "NLD" 2001 47158.42 "NLD" 2002 46960.18 "NLD" 2003 46811.89 "NLD" 2004 47575.48 "NLD" 2005 48437.88 "NLD" 2006 50033.88 "NLD" 2007 51808.77 "NLD" 2008 52727.52 "NLD" 2009 50533.51 "NLD" 2010 50950.04 "NLD" 2011 51499.6 "NLD" 2012 50780.7 "NLD" 2013 50565.3 "NLD" 2014 51100.84 "NLD" 2015 51871.58 "NLD" 2016 52727.1 "NLD" 2017 53942.09 "SWE" 1991 36791.93 "SWE" 1992 36152.99 "SWE" 1993 35201.15 "SWE" 1994 36340.152 "SWE" 1995 37595.406 "SWE" 1996 38141.777 "SWE" 1997 39301.33 "SWE" 1998 40953.22 "SWE" 1999 42685.54 "SWE" 2000 44694.43 "SWE" 2001 45228.91 "SWE" 2002 46071.99 "SWE" 2003 46931.17 "SWE" 2004 48769.29 "SWE" 2005 49981.3 "SWE" 2006 51988.43 "SWE" 2007 53374.82 "SWE" 2008 52832.31 "SWE" 2009 50164.93 "SWE" 2010 52817.44 "SWE" 2011 54020.13 "SWE" 2012 53283.64 "SWE" 2013 53408.79 "SWE" 2014 54334.29 "SWE" 2015 56139.5 "SWE" 2016 56776.29 "SWE" 2017 57367.43 end
I hope I have explained my question clear, and I am grateful for any advice you may have for me regarding this problem.
Thank you in advance.
Best,
Satya
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