Greetings Stata Users
I have a question, How do we generate the initial values of a variable?
I'm reviewing articles from Barro (2000) and he uses in the regression the initial GDP of the countries over the inequality and economic growth, I'm wondering how can I do something similar in Stata in the panel data context? as an example. The regression of the form of:
ln(GINI) = ln(GDP_Initial) + ln(GDP) +e
I'm having this data as an example. How may I construct these initial values of the GDP into a new variable for each country?
In this setting, I want to create initial values of the variable rgdp_capita (that is, the value of the rgdp_capita in the first year of each country) in a new variable.
How can I do it?
Thanks,
Merry Christmas, and Happy New Year.
References:
Barro, R. J. (2000). Inequality and Growth in a Panel of Countries. Journal of Economic Growth, 5(1), 5–32. http://www.jstor.org/stable/40216021
I have a question, How do we generate the initial values of a variable?
I'm reviewing articles from Barro (2000) and he uses in the regression the initial GDP of the countries over the inequality and economic growth, I'm wondering how can I do something similar in Stata in the panel data context? as an example. The regression of the form of:
ln(GINI) = ln(GDP_Initial) + ln(GDP) +e
I'm having this data as an example. How may I construct these initial values of the GDP into a new variable for each country?
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input long ID int year float rgdp_capita 150 2017 73938.055 80 2018 41032.14 128 2018 26715.156 58 2018 45050.71 42 2018 36818.527 152 2018 4187.011 57 2018 44479.12 42 2017 35787.89 10 2017 14142.095 64 2018 26460.875 141 2018 33129.86 105 2018 20606.47 41 2018 32175.75 72 2018 28223.727 72 2017 26721.727 93 2017 30016.5 136 2018 16897.336 157 2018 27102.057 125 2018 31310.86 40 2018 26647.395 161 2017 12741.315 9 2017 51983.16 40 2017 25715.39 129 2018 27242.97 15 2017 20265.035 1 2018 12625.35 45 2017 51521.27 73 2018 49722.31 87 2017 6084.79 9 2018 52904.28 1 2017 12127.234 149 2018 51361.5 124 2017 29032.66 89 2017 27177.646 166 2017 11062.098 111 2018 54998 149 2017 50926.7 73 2017 49312.4 140 2018 27489.28 78 2017 85500.57 6 2017 12830.385 6 2018 13543.347 161 2018 13248.313 61 2018 16192.92 15 2018 20952.055 152 2017 3989.608 84 2018 26675.8 24 2017 19725.486 111 2017 54040.88 94 2018 91850.15 62 2018 51748.21 10 2018 14226.665 150 2018 75591.54 129 2017 26551.533 124 2018 30583.764 127 2017 13282.083 128 2017 25436.96 16 2018 46052.12 41 2017 31246.75 53 2017 31037.826 163 2018 44842.11 117 2018 70135.914 127 2018 14107.134 62 2017 51254.2 136 2017 16082.935 163 2017 44552.94 105 2017 19610.666 16 2017 45419.65 117 2017 69688.02 80 2017 40561.09 57 2017 43893.82 158 2018 26077.88 61 2017 15461.544 84 2017 25962.47 157 2017 26711.77 64 2017 25989.36 87 2018 6195.396 78 2018 91642.77 93 2018 31487.693 125 2017 30396.135 24 2018 20479.09 140 2017 26529.924 143 2017 39024.24 143 2018 39804.88 166 2018 11473.138 116 2018 15687.484 141 2017 31753.66 53 2018 32267.17 45 2018 52350.79 89 2018 28505.254 94 2017 90737.05 158 2017 24824.35 58 2017 44397.6 116 2017 15286.814 end format %ty year label values ID ID label def ID 1 "Albania", modify label def ID 6 "Armenia", modify label def ID 9 "Austria", modify label def ID 10 "Azerbaijan", modify label def ID 15 "Belarus", modify label def ID 16 "Belgium", modify label def ID 24 "Bulgaria", modify label def ID 40 "Croatia", modify label def ID 41 "Cyprus", modify label def ID 42 "Czech Republic", modify label def ID 45 "Denmark", modify label def ID 53 "Estonia", modify label def ID 57 "Finland", modify label def ID 58 "France", modify label def ID 61 "Georgia", modify label def ID 62 "Germany", modify label def ID 64 "Greece", modify label def ID 72 "Hungary", modify label def ID 73 "Iceland", modify label def ID 78 "Ireland", modify label def ID 80 "Italy", modify label def ID 84 "Kazakhstan", modify label def ID 87 "Kyrgyzstan", modify label def ID 89 "Latvia", modify label def ID 93 "Lithuania", modify label def ID 94 "Luxembourg", modify label def ID 105 "Montenegro", modify label def ID 111 "Netherlands", modify label def ID 116 "North Macedonia", modify label def ID 117 "Norway", modify label def ID 124 "Poland", modify label def ID 125 "Portugal", modify label def ID 127 "Republic of Moldova", modify label def ID 128 "Romania", modify label def ID 129 "Russian Federation", modify label def ID 136 "Serbia", modify label def ID 140 "Slovakia", modify label def ID 141 "Slovenia", modify label def ID 143 "Spain", modify label def ID 149 "Sweden", modify label def ID 150 "Switzerland", modify label def ID 152 "Tajikistan", modify label def ID 157 "Turkey", modify label def ID 158 "Turkmenistan", modify label def ID 161 "Ukraine", modify label def ID 163 "United Kingdom", modify label def ID 166 "Uzbekistan", modify
How can I do it?
Thanks,
Merry Christmas, and Happy New Year.
References:
Barro, R. J. (2000). Inequality and Growth in a Panel of Countries. Journal of Economic Growth, 5(1), 5–32. http://www.jstor.org/stable/40216021
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