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

<gretldata version="1.3" name="ooballot" frequency="1" startobs="1" endobs="87" type="cross-section">
<description>Votes on ratification of Microsoft's &quot;Office Open XML&quot; as an ISO
standard, September 2007, plus information on the ISO status of
the countries concerned and their corruption level as measured by
Transparency International's 2006 CPI index (Corruption Perceptions 
Index).  See http://www.effi.org/blog/kai-2007-09-05.en.html ; also
http://www.groklaw.net/staticpages/index.php?page=20051216153153504

Vote: codification of the country's vote: 0 = Disapproval, 1 =
 Abstention; 2 = Approval with comments; 3 = Approval (outright)

Status: 0 = No formal ISO status; 1 = Observer status, 2 = Participant
 status, 3 = Secretariat (USA)

CPI: Corruption Perceptions Index: range 1 to 10: low values indicate
 high perceived corruption.

</description>
<variables count="3">
<variable name="Vote"
 label="0 = Disapproval to 3 = unconditional Approval"
 discrete="true"
/>
<variable name="Status"
 label="Country's ISO status code"
 discrete="true"
/>
<variable name="CPI"
 label="Corruption perceptions index (lower = more corruption)"
/>
</variables>
<observations count="87" labels="true">
<obs label="Finland">1 2 9.6 </obs>
<obs label="NewZealand">0 2 9.6 </obs>
<obs label="Denmark">0 2 9.5 </obs>
<obs label="Singapore">2 2 9.4 </obs>
<obs label="Switzerland">2 2 9.1 </obs>
<obs label="Norway">0 2 8.8 </obs>
<obs label="Australia">1 2 8.7 </obs>
<obs label="Netherlands">1 2 8.7 </obs>
<obs label="Austria">2 1 8.6 </obs>
<obs label="Luxembourg">1 1 8.6 </obs>
<obs label="UK">0 2 8.6 </obs>
<obs label="Canada">0 2 8.5 </obs>
<obs label="Germany">2 2 8 </obs>
<obs label="Japan">0 2 7.6 </obs>
<obs label="France">0 2 7.4 </obs>
<obs label="Ireland">0 2 7.4 </obs>
<obs label="Belgium">1 2 7.3 </obs>
<obs label="Chile">1 1 7.3 </obs>
<obs label="USA">2 3 7.3 </obs>
<obs label="Spain">1 2 6.8 </obs>
<obs label="Barbados">3 0 6.7 </obs>
<obs label="Portugal">2 1 6.6 </obs>
<obs label="Malta">2 2 6.4 </obs>
<obs label="Slovenia">1 2 6.4 </obs>
<obs label="Uruguay">2 2 6.4 </obs>
<obs label="UAE">3 0 6.2 </obs>
<obs label="Qatar">3 0 6 </obs>
<obs label="Israel">1 1 5.9 </obs>
<obs label="Cyprus">3 2 5.6 </obs>
<obs label="Jordan">2 0 5.3 </obs>
<obs label="Mauritius">1 0 5.1 </obs>
<obs label="KoreanRepublic">0 2 5.1 </obs>
<obs label="Malaysia">1 2 5 </obs>
<obs label="Italy">1 2 4.9 </obs>
<obs label="CzechRepublic">0 2 4.8 </obs>
<obs label="Kuwait">3 0 4.8 </obs>
<obs label="SouthAfrica">0 2 4.6 </obs>
<obs label="Tunisia">2 1 4.6 </obs>
<obs label="Greece">2 1 4.4 </obs>
<obs label="CostaRica">3 1 4.1 </obs>
<obs label="Bulgaria">2 1 4 </obs>
<obs label="Colombia">2 1 3.9 </obs>
<obs label="Turkey">2 2 3.8 </obs>
<obs label="Jamaica">3 2 3.7 </obs>
<obs label="Poland">2 1 3.7 </obs>
<obs label="Lebanon">3 2 3.6 </obs>
<obs label="Thailand">0 1 3.6 </obs>
<obs label="Cuba">3 1 3.5 </obs>
<obs label="Croatia">3 1 3.4 </obs>
<obs label="Brazil">0 1 3.3 </obs>
<obs label="China">0 2 3.3 </obs>
<obs label="Egypt">3 1 3.3 </obs>
<obs label="Ghana">2 0 3.3 </obs>
<obs label="India">0 2 3.3 </obs>
<obs label="Mexico">1 1 3.3 </obs>
<obs label="Peru">1 1 3.3 </obs>
<obs label="SaudiArabia">3 2 3.3 </obs>
<obs label="Morocco">3 1 3.2 </obs>
<obs label="TrinidadTobago">1 2 3.2 </obs>
<obs label="Panama">3 0 3.1 </obs>
<obs label="Romania">3 1 3.1 </obs>
<obs label="SriLanka">3 1 3.1 </obs>
<obs label="Serbia">3 1 3 </obs>
<obs label="Argentina">1 1 2.9 </obs>
<obs label="Armenia">3 1 2.9 </obs>
<obs label="BosniaHerzegovi">3 0 2.9 </obs>
<obs label="Syria">3 0 2.9 </obs>
<obs label="Tanzania">3 0 2.9 </obs>
<obs label="Ukraine">3 1 2.8 </obs>
<obs label="Iran">0 2 2.7 </obs>
<obs label="Kazakhstan">3 2 2.6 </obs>
<obs label="VietNam">1 1 2.6 </obs>
<obs label="Philippines">0 1 2.5 </obs>
<obs label="Russia">3 1 2.5 </obs>
<obs label="Azerbaijan">3 2 2.4 </obs>
<obs label="Zimbabwe">1 0 2.4 </obs>
<obs label="Ecuador">0 2 2.3 </obs>
<obs label="Venezuela">2 2 2.3 </obs>
<obs label="Congo">3 0 2.2 </obs>
<obs label="Kenya">2 2 2.2 </obs>
<obs label="Nigeria">3 0 2.2 </obs>
<obs label="Pakistan">3 2 2.2 </obs>
<obs label="Belarus">3 1 2.1 </obs>
<obs label="CotedIvoire">3 2 2.1 </obs>
<obs label="Uzbekistan">3 0 2.1 </obs>
<obs label="Bangladesh">3 0 2 </obs>
<obs label="Fiji">3 0 NA </obs>
</observations>
</gretldata>