gretl-data 1.9.9-1 / usr / share / gretl / data / misc / mrw.gdt

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE gretldata SYSTEM "gretldata.dtd">

<gretldata name="mrw" frequency="1" startobs="1" endobs="121" type="cross-section">
<description>
Data from N. Gregory Mankiw, David Romer and David N. Weil,
&quot;A contribution to the empirics of economic growth,&quot;
Quarterly Journal of Economics, May 1992, pp. 407-437

Cross-country data from 1960 and 1985 with average growth
rates of GDP and population of working age, the average
ratio of investment to GDP, and the percentage of the
working-age population in secondary school.

Note by Allin Cottrell: 
These data are taken from Appendix to the paper.  I believe
they do not correspond exactly to the data used in the
regressions reported in the paper, since I am unable to
reproduce those results exactly (the differences are minor
but noticeable).</description>
<variables count="9">
<variable name="nonoil"
 label="dummy: = 1 for non-oil producers"
/>
<variable name="intermed"
 label="dummy: = 1 for countries with fairly good data"
/>
<variable name="OECD"
 label="dummy: = 1 for OECD countries"
/>
<variable name="gdp60"
 label="GDP per adult, 1960"
/>
<variable name="gdp85"
 label="GDP per adult, 1985"
/>
<variable name="gdpgrow"
 label="Average growth of GDP, 1960 to 1985"
/>
<variable name="popgrow"
 label="Average growth of working-age population, 1960-85"
/>
<variable name="inv"
 label="Average ratio of investment to GDP, percent"
/>
<variable name="school"
 label="Percent of the working-age population in secondary school"
/>
</variables>
<observations count="121" labels="true">
<obs label="Algeria">1 1 0 2485 4371 4.8 2.6 24.1 4.5 </obs>
<obs label="Angola">1 0 0 1588 1171 0.8 2.1 5.8 1.8 </obs>
<obs label="Benin">1 0 0 1116 1071 2.2 2.4 10.8 1.8 </obs>
<obs label="Botswana">1 1 0 959 3671 8.6 3.2 28.3 2.9 </obs>
<obs label="Burkina">1 0 0 529 857 2.9 0.9 12.7 0.4 </obs>
<obs label="Burundi">1 0 0 755 663 1.2 1.7 5.1 0.4 </obs>
<obs label="Cameroon">1 1 0 889 2190 5.7 2.1 12.8 3.4 </obs>
<obs label="CAR">1 0 0 838 789 1.5 1.7 10.5 1.4 </obs>
<obs label="Chad">1 0 0 908 462 -0.9 1.9 6.9 0.4 </obs>
<obs label="Congo">1 0 0 1009 2624 6.2 2.4 28.8 3.8 </obs>
<obs label="Egypt">1 0 0 907 2160 6 2.5 16.3 7 </obs>
<obs label="Ethiopia">1 1 0 533 608 2.8 2.3 5.4 1.1 </obs>
<obs label="Gabon">0 0 0 1307 5350 7 1.4 22.1 2.6 </obs>
<obs label="Gambia">0 0 0 799 NA 3.6 NA 18.1 1.5 </obs>
<obs label="Ghana">1 0 0 1009 727 1 2.3 9.1 4.7 </obs>
<obs label="Guinea">0 0 0 746 869 2.2 1.6 10.9 0 </obs>
<obs label="IvoryCoa">1 1 0 1386 1704 5.1 4.3 12.4 2.3 </obs>
<obs label="Kenya">1 1 0 944 1329 4.8 3.4 17.4 2.4 </obs>
<obs label="Lesotho">0 0 0 431 1483 6.8 1.9 12.6 2 </obs>
<obs label="Liberia">1 0 0 863 944 3.3 3.0 21.5 2.5 </obs>
<obs label="Madagasc">1 1 0 1194 975 1.4 2.2 7.1 2.6 </obs>
<obs label="Malawi">1 1 0 455 823 4.8 2.4 13.2 0.6 </obs>
<obs label="Mali">1 1 0 737 710 2.1 2.2 7.3 1 </obs>
<obs label="Mauritan">1 0 0 777 1038 3.3 2.2 25.6 1 </obs>
<obs label="Mauritiu">1 0 0 1973 2967 4.2 2.6 17.1 7.3 </obs>
<obs label="Morocco">1 1 0 1030 2348 5.8 2.5 8.3 3.6 </obs>
<obs label="Mozambiq">1 0 0 1420 1035 1.4 2.7 6.1 0.7 </obs>
<obs label="Niger">1 0 0 539 841 4.4 2.6 10.3 0.5 </obs>
<obs label="Nigeria">1 1 0 1055 1186 2.8 2.4 12.0 2.3 </obs>
<obs label="Rwanda">1 0 0 460 696 4.5 2.8 7.9 0.4 </obs>
<obs label="Senegal">1 1 0 1392 1450 2.5 2.3 9.6 1.7 </obs>
<obs label="SierraLe">1 0 0 511 805 3.4 1.6 10.9 1.7 </obs>
<obs label="Somalia">1 0 0 901 657 1.8 3.1 13.8 1.1 </obs>
<obs label="SAfrica">1 1 0 4768 7064 3.9 2.3 21.6 3 </obs>
<obs label="Sudan">1 0 0 1254 1038 1.8 2.6 13.2 2 </obs>
<obs label="Swazilan">0 0 0 817 NA 7.2 NA 17.7 3.7 </obs>
<obs label="Tanzania">1 1 0 383 710 5.3 2.9 18.0 0.5 </obs>
<obs label="Togo">1 0 0 777 978 3.4 2.5 15.5 2.9 </obs>
<obs label="Tunisia">1 1 0 1623 3661 5.6 2.4 13.8 4.3 </obs>
<obs label="Uganda">1 0 0 601 667 3.5 3.1 4.1 1.1 </obs>
<obs label="Zaire">1 0 0 594 412 0.9 2.4 6.5 3.6 </obs>
<obs label="Zambia">1 1 0 1410 1217 2.1 2.7 31.7 2.4 </obs>
<obs label="Zimbabwe">1 1 0 1187 2107 5.1 2.8 21.1 4.4 </obs>
<obs label="Afghanis">0 0 0 1224 NA 1.6 NA 6.9 0.9 </obs>
<obs label="Bahrain">0 0 0 NA NA NA NA 30.0 12.1 </obs>
<obs label="Banglade">1 1 0 846 1221 4 2.6 6.8 3.2 </obs>
<obs label="Burma">1 1 0 517 1031 4.5 1.7 11.4 3.5 </obs>
<obs label="HongKong">1 1 0 3085 13372 8.9 3.0 19.9 7.2 </obs>
<obs label="India">1 1 0 978 1339 3.6 2.4 16.8 5.1 </obs>
<obs label="Iran">0 0 0 3606 7400 6.3 3.4 18.4 6.5 </obs>
<obs label="Iraq">0 0 0 4916 5626 3.8 3.2 16.2 7.4 </obs>
<obs label="Israel">1 1 0 4802 10450 5.9 2.8 28.5 9.5 </obs>
<obs label="Japan">1 1 1 3493 13893 6.8 1.2 36.0 10.9 </obs>
<obs label="Jordan">1 1 0 2183 4312 5.4 2.7 17.6 10.8 </obs>
<obs label="SKorea">1 1 0 1285 4775 7.9 2.7 22.3 10.2 </obs>
<obs label="Kuwait">0 0 0 77881 25635 2.4 6.8 9.5 9.6 </obs>
<obs label="Malaysia">1 1 0 2154 5788 7.1 3.2 23.2 7.3 </obs>
<obs label="Nepal">1 0 0 833 974 2.6 2.0 5.9 2.3 </obs>
<obs label="Oman">0 0 0 NA 15584 NA 3.3 15.6 2.7 </obs>
<obs label="Pakistan">1 1 0 1077 2175 5.8 3.0 12.2 3 </obs>
<obs label="Philippi">1 1 0 1668 2430 4.5 3.0 14.9 10.6 </obs>
<obs label="SaudiAra">0 0 0 6731 11057 6.1 4.1 12.8 3.1 </obs>
<obs label="Singapor">1 1 0 2793 14678 9.2 2.6 32.2 9 </obs>
<obs label="SriLanka">1 1 0 1794 2482 3.7 2.4 14.8 8.3 </obs>
<obs label="Syria">1 1 0 2382 6042 6.7 3.0 15.9 8.8 </obs>
<obs label="Taiwan">0 0 0 NA NA 8 NA 20.7 0 </obs>
<obs label="Thailand">1 1 0 1308 3220 6.7 3.1 18.0 4.4 </obs>
<obs label="UAR">0 0 0 NA 18513 NA NA 26.5 0 </obs>
<obs label="Yemen">0 0 0 NA 1918 NA 2.5 17.2 0.6 </obs>
<obs label="Austria">1 1 1 5939 13327 3.6 0.4 23.4 8 </obs>
<obs label="Belgium">1 1 1 6789 14290 3.5 0.5 23.4 9.3 </obs>
<obs label="Cyprus">0 0 0 2948 NA 5.2 NA 31.2 8.2 </obs>
<obs label="Denmark">1 1 1 8551 16491 3.2 0.6 26.6 10.7 </obs>
<obs label="Finland">1 1 1 6527 13779 3.7 0.7 36.9 11.5 </obs>
<obs label="France">1 1 1 7215 15027 3.9 1.0 26.2 8.9 </obs>
<obs label="WGermany">1 1 1 7695 15297 3.3 0.5 28.5 8.4 </obs>
<obs label="Greece">1 1 1 2257 6868 5.1 0.7 29.3 7.9 </obs>
<obs label="Iceland">0 0 0 8091 NA 3.9 NA 29.0 10.2 </obs>
<obs label="Ireland">1 1 1 4411 8675 3.8 1.1 25.9 11.4 </obs>
<obs label="Italy">1 1 1 4913 11082 3.8 0.6 24.9 7.1 </obs>
<obs label="Luxembou">0 0 0 9015 NA 2.8 NA 26.9 5 </obs>
<obs label="Malta">0 0 0 2293 NA 6 NA 30.9 7.1 </obs>
<obs label="Netherla">1 1 1 7689 13177 3.6 1.4 25.8 10.7 </obs>
<obs label="Norway">1 1 1 7938 19723 4.3 0.7 29.1 10 </obs>
<obs label="Portugal">1 1 1 2272 5827 4.4 0.6 22.5 5.8 </obs>
<obs label="Spain">1 1 1 3766 9903 4.9 1.0 17.7 8 </obs>
<obs label="Sweden">1 1 1 7802 15237 3.1 0.4 24.5 7.9 </obs>
<obs label="Switzerl">1 1 1 10308 15881 2.5 0.8 29.7 4.8 </obs>
<obs label="Turkey">1 1 1 2274 4444 5.2 2.5 20.2 5.5 </obs>
<obs label="UK">1 1 1 7634 13331 2.5 0.3 18.4 8.9 </obs>
<obs label="Barbados">0 0 0 3165 NA 4.8 NA 19.5 12.1 </obs>
<obs label="Canada">1 1 1 10286 17935 4.2 2.0 23.3 10.6 </obs>
<obs label="CostaRic">1 1 0 3360 4492 4.7 3.5 14.7 7 </obs>
<obs label="Dominica">1 1 0 1939 3308 5.1 2.9 17.1 5.8 </obs>
<obs label="ElSalvad">1 1 0 2042 1997 3.3 3.3 8.0 3.9 </obs>
<obs label="Guatemal">1 1 0 2481 3034 3.9 3.1 8.8 2.4 </obs>
<obs label="Haiti">1 1 0 1096 1237 1.8 1.3 7.1 1.9 </obs>
<obs label="Honduras">1 1 0 1430 1822 4 3.1 13.8 3.7 </obs>
<obs label="Jamaica">1 1 0 2726 3080 2.1 1.6 20.6 11.2 </obs>
<obs label="Mexico">1 1 0 4229 7380 5.5 3.3 19.5 6.6 </obs>
<obs label="Nicaragu">1 1 0 3195 3978 4.1 3.3 14.5 5.8 </obs>
<obs label="Panama">1 1 0 2423 5021 5.9 3.0 26.1 11.6 </obs>
<obs label="Trinidad">1 1 0 9253 11285 2.7 1.9 20.4 8.8 </obs>
<obs label="USA">1 1 1 12362 18988 3.2 1.5 21.1 11.9 </obs>
<obs label="Argentin">1 1 0 4852 5533 2.1 1.5 25.3 5 </obs>
<obs label="Bolivia">1 1 0 1618 2055 3.3 2.4 13.3 4.9 </obs>
<obs label="Brazil">1 1 0 1842 5563 7.3 2.9 23.2 4.7 </obs>
<obs label="Chile">1 1 0 5189 5533 2.6 2.3 29.7 7.7 </obs>
<obs label="Colombia">1 1 0 2672 4405 5 3.0 18.0 6.1 </obs>
<obs label="Ecuador">1 1 0 2198 4504 5.7 2.8 24.4 7.2 </obs>
<obs label="Guyana">0 0 0 2761 NA 1.1 NA 32.4 11.7 </obs>
<obs label="Paraguay">1 1 0 1951 3914 5.5 2.7 11.7 4.4 </obs>
<obs label="Peru">1 1 0 3310 3775 3.5 2.9 12.0 8 </obs>
<obs label="Surinam">0 0 0 3226 NA 4.5 NA 19.4 8.1 </obs>
<obs label="Uruguay">1 1 0 5119 5495 0.9 0.6 11.8 7 </obs>
<obs label="Venezuel">1 1 0 10367 6336 1.9 3.8 11.4 7 </obs>
<obs label="Australi">1 1 1 8440 13409 3.8 2.0 31.5 9.8 </obs>
<obs label="Fiji">0 0 0 3634 NA 4.2 NA 20.6 8.1 </obs>
<obs label="Indonesi">1 1 0 879 2159 5.5 1.9 13.9 4.1 </obs>
<obs label="NZ">1 1 1 9523 12308 2.7 1.7 22.5 11.9 </obs>
<obs label="PNG">1 0 0 1781 2544 3.5 2.1 16.2 1.5 </obs>
</observations>
</gretldata>