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The actual contents of the file can be viewed below.

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<?xml version="1.0"?>
<!DOCTYPE gretldata SYSTEM "gretldata.dtd">

<gretldata name="data7-26" frequency="1" startobs="1" endobs="102" type="cross-section">
<description>
DATA7-26:
The first set of data were compiled by Jeffrey Wong for the study
involving parental school choice in the United States.  All data are
for the year 1986, unless otherwise noted, for all 51 states, including
the D.C.  The last column has a zero for this data.
   D      = 1 for the second data set and 0 for the first data set
   ENROLL = Percentage of students that enroll in private schools.
            The data for private school enrollment for each state was
            found by indexing public school enrollment values of the years
            1980 and 1986.  This index was then used to calculate the
            private school enrollment for 1986.  Thus, the private school
            enrollment values are indexed numbers.  This should not cause
            any problem in the model because the enrollment trends in
            public and private education do not alter drastically from
            year to year.
            Source: Digest of Education Statistics, 1990.
   CATHOL = Percentage of population in each state which is Catholic.
            Source: The Official Catholic Directory, 1986.
   PUPIL  = pupil to teacher ratio for public schools in each state.  
            Source:  Digest of Education Statistics, 1990.
   WHITE  = Percentage of population in each state that is white.
            Source:  United States Statistical Abstract, 1988.
   ADMEXP = Percentage of educational expenditures devoted to administrative
            expenses.  
            Source: Condition of Education, 1990.
   REV    = per pupil education revenue (in thousands of dollars).
            Source: Condition of Education, 1990.
   MEMNEA = Percentage of all public teachers who are members of the 
            National Education Association. 
            Source:  National Education Association Handbook.
   INCOME = per capita income (in thousands of dollars) of household families.
            Source: Unites States Statistical Abstract, 1988.
   COLLEGE = Percentage of the population that has completed at least
             four years of college.
             Source:  United States Statistical Abstract Supplement,
             State and Metropolitan Data Book, 1986.

The second data on private school enrolment and its determinants, for
the 50 U.S.  States and the District of Columbia, compiled by Colleen
Dempsey.  Last column is 1.

ENROLL =  percentage of students that enrolled in private schools.
Data Year: 1993
Sources: Digest of Education Statistics, 1996
Projections of Education Statistics to 2007
CATHOL = percentage of the population in each state which is Catholic.
Data Year: 1990
Source: Churches and Church Membership in the United States, 1990
PUPIL = pupil to teacher ratio for public schools in each state.
Data Year: 1990
Source: Digest of Education Statistics, 1996
WHITE = percentage of population in each state that is white.
Data Year: 1990
Source: Statistical Abstract of the U.S. 1993
ADMEXP = percentage of educational expenditures devoted to
administration.
Data Year: 1993
Source: Digest of Education Statistics, 1996
REVENUE = per pupil education revenue in thousands of dollars
Data Year: 1991
Sources: Digest of Education Statistics, 1996
              Statistical Abstract of the U.S. 1997
              Projections of Education Statistics to 2007
MEMNEA = percentage of all public school teachers who are members 
of the National Education Association 
Data Year: 1986
Source: National Education Association Handbook
INCOME = per capita income in thousands of dollars
Data Year: 1990
Source: Statistical Abstract of the United States 1997
COLLEGE = percentage of the population who has completed at least 
four years of college.
Data Year: 1990
Source: Statistical Abstract of the U.S. 1997
</description>
<variables count="10">
<variable name="ENROLL"
 label="Percentage of students that enroll in private schools"/>
<variable name="CATHOL"
 label="Percentage of population that is Catholic"/>
<variable name="PUPIL"
 label="pupil to teacher ratio for public schools, 1990"/>
<variable name="WHITE"
 label="Percentage of population that is white"/>
<variable name="ADMEXP"
 label="% of educational expenditures devoted to administration"/>
<variable name="REV"
 label="per pupil education revenue (thousands of dollars)"/>
<variable name="MEMNEA"
 label="% membership of NEA among public school teachers"/>
<variable name="INCOME"
 label="per capita income (thousands of dollars) of households"/>
<variable name="COLLEGE"
 label="% of the population that has completed &gt;= 4yrs college"/>
<variable name="D"
 label="1 for the second data set and 0 for the first data set"/>
</variables>
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<obs>4.50 10.0 16.7 77.50 33.90 5.982 89.00 18.383 21.1 0 </obs>
<obs>7.70 17.8 18.4 89.80 42.30 3.587 66.90 13.680 17.4 0 </obs>
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<obs>6.00 16.6 18.2 93.50 40.30 4.080 85.60 15.115 23.0 0 </obs>
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<obs>5.10 17.8 15.6 93.40 37.30 3.777 76.20 11.729 17.5 0 </obs>
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<obs>15.80 41.6 14.7 82.70 36.50 5.691 99.90 18.793 18.3 0 </obs>
<obs>6.30 26.5 19.0 88.00 42.50 3.139 41.60 11.456 17.6 0 </obs>
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<obs>17.40 65.2 15.1 94.10 33.10 4.488 51.20 14.584 15.4 0 </obs>
<obs>7.50 2.2 17.3 69.10 38.50 2.962 39.40 11.287 13.4 0 </obs>
<obs>8.50 20.2 15.6 90.70 40.30 2.935 77.00 11.795 14.0 0 </obs>
<obs>7.80 2.8 19.9 83.00 30.10 2.244 93.40 11.984 12.6 0 </obs>
<obs>5.00 19.6 17.2 86.20 40.20 3.444 35.40 13.494 16.9 0 </obs>
<obs>1.60 3.9 23.4 95.20 34.20 2.604 88.70 10.969 19.9 0 </obs>
<obs>9.20 28.9 14.4 98.70 36.30 3.998 90.00 13.322 19.0 0 </obs>
<obs>6.90 5.4 16.8 78.60 35.00 3.752 68.50 15.422 19.1 0 </obs>
<obs>6.80 10.0 20.5 91.30 41.70 3.838 99.90 14.865 19.0 0 </obs>
<obs>3.20 5.5 15.3 96.50 51.80 3.253 69.60 10.587 10.4 0 </obs>
<obs>16.60 32.6 16.3 93.60 37.50 4.101 91.30 13.922 14.8 0 </obs>
<obs>2.90 13.7 14.0 96.30 39.80 5.811 84.10 12.732 17.2 0 </obs>
<obs>9.00 3.4 19.9 73.65 7.23 3.313 97.93 15.225 15.6 1 </obs>
<obs>4.46 8.2 17.0 75.45 10.42 8.195 89.02 21.048 23.0 1 </obs>
<obs>5.59 17.9 19.4 80.85 7.21 4.770 66.88 16.539 20.3 1 </obs>
<obs>6.13 3.1 16.8 82.73 7.93 3.808 54.37 14.032 13.4 1 </obs>
<obs>9.65 24.0 22.8 68.97 7.35 5.169 80.21 21.290 23.4 1 </obs>
<obs>7.92 14.7 17.8 88.19 7.93 5.116 85.61 19.224 27.0 1 </obs>
<obs>12.40 41.8 13.5 86.98 6.90 0.850 79.51 26.376 27.2 1 </obs>
<obs>17.39 17.5 16.7 80.33 6.26 6.038 94.12 21.695 21.4 1 </obs>
<obs>16.37 12.8 13.6 29.65 8.96 7.832 5.73 25.620 33.3 1 </obs>
<obs>10.28 12.4 17.2 83.08 6.45 5.636 31.68 19.107 18.3 1 </obs>
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<obs>9.21 18.7 15.6 96.62 8.00 5.215 99.88 16.959 16.9 1 </obs>
<obs>7.48 14.9 15.0 90.07 9.60 4.796 76.94 17.988 21.1 1 </obs>
<obs>8.14 9.9 17.3 92.05 9.49 3.765 83.50 15.087 13.6 1 </obs>
<obs>15.37 32.4 17.3 67.27 7.10 4.349 47.54 14.761 16.1 1 </obs>
<obs>7.26 21.5 13.9 98.37 6.89 5.196 89.89 17.167 18.8 1 </obs>
<obs>12.70 17.4 16.8 70.99 7.39 5.793 79.81 22.484 26.5 1 </obs>
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<obs>10.51 25.2 19.8 83.44 7.27 5.951 88.55 18.711 17.3 1 </obs>
<obs>9.60 25.4 17.4 94.40 5.72 6.070 84.05 19.374 21.9 1 </obs>
<obs>10.39 3.7 17.9 63.47 7.90 3.289 39.03 12.710 14.8 1 </obs>
<obs>11.94 15.7 15.6 87.67 7.83 4.783 32.53 17.656 17.8 1 </obs>
<obs>5.29 15.7 15.9 92.74 8.06 4.843 76.15 15.042 19.8 1 </obs>
<obs>12.19 21.2 14.6 93.85 7.78 5.257 99.90 17.624 19.0 1 </obs>
<obs>4.35 13.1 19.4 84.28 7.26 5.445 80.73 20.123 15.3 1 </obs>
<obs>9.04 26.8 16.2 98.02 8.75 5.569 69.90 20.672 24.3 1 </obs>
<obs>14.55 41.3 13.6 79.30 8.17 8.839 99.90 24.927 24.8 1 </obs>
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<obs>14.75 40.5 14.7 74.40 5.80 8.353 11.98 23.131 23.1 1 </obs>
<obs>5.74 2.3 16.9 75.55 7.54 4.852 75.45 16.663 17.4 1 </obs>
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<obs>16.41 30.9 16.6 88.54 6.59 6.428 80.36 19.365 17.9 1 </obs>
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<obs>1.86 31.1 14.5 94.05 7.56 5.964 84.14 17.062 18.8 1 </obs>
</observations>
</gretldata>