/usr/share/gretl/data/greene/greene12_1.gdt is in gretl-data 1.9.9-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 | <?xml version="1.0"?>
<!DOCTYPE gretldata SYSTEM "gretldata.dtd">
<gretldata name="greene12_1" frequency="1" startobs="1" endobs="100" type="cross-section">
<description>
Data table A5.1 from Greene, Econometric Analysis, 4ed.
Micro data on income and credit-card expenditure.
See Greene, ch. 12, Example 12.1
derog number of derogatory reports
accept credit card application accepted (yes = 1)
age age in years + 12ths of a year
income income/10000
expend average monthly credit card expenditure
ownrent own-rent: individual owns (1) or rents (0) home
selfemp self-employed (yes = 1)
This file included with gretl by kind permission of William Greene.
</description>
<variables count="7">
<variable name="derog"
label="number of derogatory reports"/>
<variable name="accept"
label="credit card application accepted (yes = 1)"/>
<variable name="age"
label="age in years + 12ths of a year"/>
<variable name="income"
label="income/10000"/>
<variable name="expend"
label="average monthly credit card expenditure"/>
<variable name="ownrent"
label="own-rent: individual owns (1) or rents (0) home"/>
<variable name="selfemp"
label="self-employed (yes = 1)"/>
</variables>
<observations count="100" labels="false">
<obs>0 1 38 4.52 124.98 1 0 </obs>
<obs>0 1 33 2.42 9.85 0 0 </obs>
<obs>0 1 34 4.50 15.00 1 0 </obs>
<obs>0 1 31 2.54 137.87 0 0 </obs>
<obs>0 1 32 9.79 546.50 1 0 </obs>
<obs>0 1 23 2.50 92.00 0 0 </obs>
<obs>0 1 28 3.96 40.83 0 0 </obs>
<obs>0 1 29 2.37 150.79 1 0 </obs>
<obs>0 1 37 3.80 777.82 1 0 </obs>
<obs>0 1 28 3.20 52.58 0 0 </obs>
<obs>0 1 31 3.95 256.66 1 0 </obs>
<obs>0 0 42 1.98 0.00 1 0 </obs>
<obs>0 0 30 1.73 0.00 1 0 </obs>
<obs>0 1 29 2.45 78.87 1 0 </obs>
<obs>0 1 35 1.91 42.62 1 0 </obs>
<obs>0 1 41 3.20 335.43 1 0 </obs>
<obs>0 1 40 4.00 248.72 1 0 </obs>
<obs>7 0 30 3.00 0.00 1 0 </obs>
<obs>0 1 40 10.00 548.03 1 1 </obs>
<obs>3 0 46 3.40 0.00 0 0 </obs>
<obs>0 1 35 2.35 43.34 1 0 </obs>
<obs>1 0 25 1.88 0.00 0 0 </obs>
<obs>0 1 34 2.00 218.52 1 0 </obs>
<obs>1 1 36 4.00 170.64 0 0 </obs>
<obs>0 1 43 5.14 37.58 1 0 </obs>
<obs>0 1 30 4.51 502.20 0 0 </obs>
<obs>0 0 22 3.84 0.00 0 1 </obs>
<obs>0 1 22 1.50 73.18 0 0 </obs>
<obs>0 0 34 2.50 0.00 1 0 </obs>
<obs>0 1 40 5.50 1532.77 1 0 </obs>
<obs>0 1 22 2.03 42.69 0 0 </obs>
<obs>1 1 29 3.20 417.83 0 0 </obs>
<obs>1 0 25 3.15 0.00 1 0 </obs>
<obs>0 1 21 2.47 552.72 1 0 </obs>
<obs>0 1 24 3.00 222.54 0 0 </obs>
<obs>0 1 43 3.54 541.30 1 0 </obs>
<obs>0 0 43 2.28 0.00 0 0 </obs>
<obs>0 1 37 5.70 568.77 1 0 </obs>
<obs>0 1 27 3.50 344.47 0 0 </obs>
<obs>0 1 28 4.60 405.35 1 0 </obs>
<obs>0 1 26 3.00 310.94 1 0 </obs>
<obs>0 1 23 2.59 53.65 0 0 </obs>
<obs>0 1 30 1.51 63.92 0 0 </obs>
<obs>0 1 30 1.85 165.85 0 0 </obs>
<obs>0 1 38 2.60 9.58 0 0 </obs>
<obs>0 0 28 1.80 0.00 0 1 </obs>
<obs>0 1 36 2.00 319.49 0 0 </obs>
<obs>0 0 38 3.26 0.00 0 0 </obs>
<obs>0 1 26 2.35 83.08 0 0 </obs>
<obs>0 1 28 7.00 644.83 1 0 </obs>
<obs>0 0 50 3.60 0.00 0 0 </obs>
<obs>0 1 24 2.00 93.20 0 0 </obs>
<obs>0 1 21 1.70 105.04 0 0 </obs>
<obs>0 1 24 2.80 34.13 0 0 </obs>
<obs>0 1 26 2.40 41.19 0 0 </obs>
<obs>1 1 33 3.00 169.89 0 0 </obs>
<obs>0 1 34 4.80 1898.03 0 0 </obs>
<obs>0 1 33 3.18 810.39 0 0 </obs>
<obs>0 0 45 1.80 0.00 0 0 </obs>
<obs>0 1 21 1.50 32.78 0 0 </obs>
<obs>2 1 25 3.00 95.80 0 0 </obs>
<obs>0 1 27 2.28 27.78 0 0 </obs>
<obs>0 1 26 2.80 215.07 0 0 </obs>
<obs>0 1 22 2.70 79.51 0 0 </obs>
<obs>3 0 27 4.90 0.00 1 0 </obs>
<obs>0 0 26 2.50 0.00 0 1 </obs>
<obs>0 1 41 6.00 306.03 0 1 </obs>
<obs>0 1 42 3.90 104.54 0 0 </obs>
<obs>0 0 22 5.10 0.00 0 0 </obs>
<obs>0 1 25 3.07 642.47 0 0 </obs>
<obs>0 1 31 2.46 308.05 1 0 </obs>
<obs>0 1 27 2.00 186.35 0 0 </obs>
<obs>0 1 33 3.25 56.15 0 0 </obs>
<obs>0 1 37 2.72 129.37 0 0 </obs>
<obs>0 1 27 2.20 93.11 0 0 </obs>
<obs>1 0 24 4.10 0.00 0 0 </obs>
<obs>0 1 24 3.75 292.66 0 0 </obs>
<obs>0 1 25 2.88 98.46 0 0 </obs>
<obs>0 1 36 3.05 258.55 0 0 </obs>
<obs>0 1 33 2.55 101.68 0 0 </obs>
<obs>0 0 33 4.00 0.00 0 0 </obs>
<obs>1 1 55 2.64 65.25 1 0 </obs>
<obs>0 1 20 1.65 108.61 0 0 </obs>
<obs>0 1 29 2.40 49.56 0 0 </obs>
<obs>3 0 40 3.71 0.00 0 0 </obs>
<obs>0 1 41 7.24 235.57 1 0 </obs>
<obs>0 0 41 4.39 0.00 1 0 </obs>
<obs>0 0 35 3.30 0.00 1 0 </obs>
<obs>0 0 24 2.30 0.00 0 0 </obs>
<obs>1 0 54 4.18 0.00 0 0 </obs>
<obs>2 0 34 2.49 0.00 0 0 </obs>
<obs>0 0 45 2.81 0.00 1 0 </obs>
<obs>0 1 43 2.40 68.38 0 0 </obs>
<obs>4 0 35 1.50 0.00 0 0 </obs>
<obs>2 0 36 8.40 0.00 0 0 </obs>
<obs>0 1 22 1.56 0.00 0 0 </obs>
<obs>1 1 33 6.00 474.15 1 0 </obs>
<obs>1 1 25 3.60 234.05 0 0 </obs>
<obs>0 1 26 5.00 451.20 1 0 </obs>
<obs>0 1 46 5.50 251.52 1 0 </obs>
</observations>
</gretldata>
|