/usr/share/gretl/data/data8-3.gdt is in gretl-data 2016d-1.
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<!DOCTYPE gretldata SYSTEM "gretldata.dtd">
<gretldata name="data8-3" frequency="1" startobs="1" endobs="51" type="cross-section">
<description>
DATA8-3: Aggregate personal income and expenditures on health care,
both measured in billions of dollars, 1993, for U.S. States and D.C.
U.S. Population is in millions
Source: 1995 Statistical Abstract of the U.S.
Population, Table 27, Page 28, Range 0.47 - 31.217
Personal Income, Table 712, Page 460, Range 9.3 -683.5
Personal Health Care Expenditures, Table 153, Page 111
(Range 0.998 - 94.178)
Seniors is percent 65 or over in 1993, Source: 1994 Statistical
Abstract of the U.S., Page 32, Range 4.4 - 18.6
</description>
<variables count="4">
<variable name="exphlth"
label="Aggregate personal expenditure on health care ($ billions)"/>
<variable name="income"
label="Aggregate personal income ($ billions)"/>
<variable name="pop"
label="U.S. Population (millions)"/>
<variable name="seniors"
label="percent 65 or over in 1993"/>
</variables>
<observations count="51" labels="true">
<obs label="WY">0.998 9.3 0.470 10.9 </obs>
<obs label="VT">1.499 11.2 0.576 12.0 </obs>
<obs label="DC">4.285 17.1 0.579 13.3 </obs>
<obs label="AK">1.573 13.8 0.598 4.4 </obs>
<obs label="ND">2.021 10.9 0.637 14.8 </obs>
<obs label="DE">2.260 15.3 0.698 12.4 </obs>
<obs label="SD">1.953 12.8 0.716 14.7 </obs>
<obs label="MT">2.103 14.6 0.841 13.4 </obs>
<obs label="RI">3.428 21.2 1.000 15.5 </obs>
<obs label="ID">2.277 19.3 1.100 11.8 </obs>
<obs label="NH">3.452 25.1 1.124 11.9 </obs>
<obs label="HI">3.485 27.4 1.166 11.7 </obs>
<obs label="ME">3.433 23.3 1.240 13.7 </obs>
<obs label="NV">3.747 31.6 1.382 11.1 </obs>
<obs label="NE">4.400 31.7 1.613 14.2 </obs>
<obs label="NM">3.878 26.4 1.616 11.0 </obs>
<obs label="WV">5.197 29.4 1.818 15.3 </obs>
<obs label="UT">4.118 30.0 1.860 8.9 </obs>
<obs label="AR">6.111 38.8 2.426 15.0 </obs>
<obs label="KS">6.903 50.3 2.535 13.9 </obs>
<obs label="MS">6.187 38.9 2.640 12.5 </obs>
<obs label="IA">7.341 51.6 2.821 15.5 </obs>
<obs label="OR">7.999 59.0 3.035 13.8 </obs>
<obs label="OK">8.041 55.0 3.233 13.6 </obs>
<obs label="CT">12.216 92.3 3.278 14.1 </obs>
<obs label="CO">10.066 76.6 3.564 10.0 </obs>
<obs label="SC">9.029 61.2 3.630 11.7 </obs>
<obs label="KY">10.384 64.1 3.794 12.7 </obs>
<obs label="AZ">10.635 71.3 3.945 13.4 </obs>
<obs label="AL">12.060 71.6 4.181 13.0 </obs>
<obs label="LA">13.014 71.3 4.290 11.3 </obs>
<obs label="MN">14.194 94.9 4.524 12.6 </obs>
<obs label="MD">15.154 118.5 4.958 11.1 </obs>
<obs label="WI">14.502 99.9 5.044 13.4 </obs>
<obs label="TN">16.203 93.9 5.094 12.8 </obs>
<obs label="MO">15.949 102.4 5.235 14.2 </obs>
<obs label="WA">15.129 114.5 5.259 11.6 </obs>
<obs label="IN">16.401 109.6 5.706 12.7 </obs>
<obs label="MA">23.421 146.9 6.018 14.0 </obs>
<obs label="VA">16.682 140.2 6.473 11.0 </obs>
<obs label="GA">20.104 132.9 6.902 10.1 </obs>
<obs label="NC">18.241 129.8 6.952 12.5 </obs>
<obs label="NJ">25.741 211.2 7.859 13.6 </obs>
<obs label="MI">27.136 194.7 9.460 12.4 </obs>
<obs label="OH">33.456 217.9 11.061 13.3 </obs>
<obs label="IL">34.747 263.6 11.686 12.6 </obs>
<obs label="PA">41.521 256.0 12.030 15.8 </obs>
<obs label="FL">44.811 283.4 13.726 18.6 </obs>
<obs label="TX">49.816 345.0 18.022 10.2 </obs>
<obs label="NY">67.033 450.6 18.153 13.1 </obs>
<obs label="CA">94.178 683.5 31.217 10.6 </obs>
</observations>
</gretldata>
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