Government finance statistics 2.0
Challenges for data scientists?
Government Finance Statistics 0.0
Government Finance Statistics 1.0
% gdp
9
80
8
76
7
72
6
68
5
4
64
3
60
2
56
1
52
0
48
-1
44
-2
-3
2007 Q1
40
2008 Q2
2009 Q3
2010 Q4
Deficit (left)
Norms
2012 Q1
Debt (right)
2013 Q2
2014 Q3
2015 Q4
Government Finance Statistics 1.0
Relevant?
Relevant?
22 oktober 2009:
“Eurostat has expressed a reservation on the data reported by
Greece due to significant uncertainties over the figures notified by
the Greek statistical authorities.”
% bbp
0
-2
-4
2004
2004 herzien
-6
-8
-10
-12
-14
2005-2009
2005-2009 herzien
2010
2010 herzien
-16
-18
-20
2011
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Bron: Eurostat
Relevant?
% bbp
150
145
140
135
130
125
120
115
110
105
100
95
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Bron: Eurostat
2004
2004 herzien
2005-2009
2005-2009 herzien
2010
2010 herzien
2011
What is government?
CAO-sector
Core
Goverment
Public
Governance
National Accounts
‘Wet Normering Topinkomens’
8
What is government?
National Accounts
9
Government Finance Statistics 1.0
Delimitation sector general government decision tree
Case by case data collection 1.0
• Cannot ask suppliers for sector classification
• Documentation needed for decision tree:
–
–
–
–
(Depending on legal type)
Accounting reports
Annual reports
Statutes
• Both unit and item nonresponse
• Prioritize units: link to key figures
Government Finance Statistics 2.0 ?
Government Finance Statistics 2.0
Government Finance Statistics 2.0
• Find and interpret rich data sources
• Manage large amounts of data
• Merge data sources, ensure consistency of
datasets.
• Create visualizations to aid in understanding data
• Present and communicate the data
insights/findings
• Produce answers in days rather than months
• Work by exploratory analysis and rapid iteration
• Produce and present results with dashboards
(displays of current values) rather than
papers/reports, as statisticians normally do
Government Finance Statistics 2.0