Transcript PowerPoint Sunusu - Georgetown University

Alberto
Alfonzo
Tugberk ‘TT’
Tanrisevdir
This study examines what
determines success in the
Africa Cup of Nations
from a macroeconomic
perspective.
• Continental soccer tournament
in Africa
• First tournament in 1957
• Organized in every 2 years
• Winner goes to FIFA
Confederations Cup
METHODOLOGY
• Sources: WDI, Penn World Table, and CAF’s webpage
• We created different new variables to control for the results
of the tournaments: Champion, Second Place, Third Place,
and Fourth Place
• We test our hypothesis trough a series of different methods:
Regressions Mean Comparison tests, and Fixed-Effect tests.
• For another approach to the study of our hypotheses, we
excluded Egypt in a fixed-effect test as it seems the Egypt is
an outlier to our theory.
v.s.
• Both in Asia
• Close Number of
Populations:
China: 1,351 billion*
India: 1,237 billion*
*Data are taken from The World Bank’s 2012 information
CHINA: $6,188*
INDIA: $1,489*
Children Health Care Sports
Malnutrition
Investment
and
Facilities
Better
Education
*Data are taken from The World Bank’s 2012 information
• If China has the highest population on Earth, why doesn’t
China take 1st place in every Olympics?
• If GDP Per Capita has a positive effect on winning a medal,
why aren’t Luxembourg, Norway, and Switzerland –the top
three countries by GDP Per Capita* dominant forces in the
Olympics?
*Data are taken from The World Bank’s 2012 information
HOME ADVANTAGE
POPULATION
CHANCE OF
HAVING
SPORTSMEN
Inadequate resources
means that a country
cannot use its human
power
GDP Per Capita is an indicator of sports investment
*Data are taken from ESPN’s 2008 information.
Alabama University Crimson Tide Football Team played
14 games in 2008 and these 14 games costed them
$3,580,868*
*Information is taken from ESPN: http://espn.go.com/ncaa/revenue/_/type/expenses
These data are taken from Tucker’s video on Euronews webpage and interpreted into a different graph format
host
Champion
Finalists
0.383
0.384
(9.03)***
rgdplinthousands
0.001
(0.26)
populationinmillions
0.000
(0.37)
urbanpopulationinmillions
-0.000
(0.07)
_cons
R2
N
0.024
(6.45)***
-0.002
(0.56)
-0.001
(0.44)
0.001
(0.38)
0.086
Third or Better
0.464
(6.53)***
-0.005
(1.03)
-0.002
(1.54)
0.007
(2.01)**
0.130
Semifinalists
0.456
(6.29)***
-0.006
(1.16)
-0.002
(1.09)
0.005
(1.52)
0.136
(1.66)*
(4.28)***
(5.43)***
(5.60)***
0.14
505
0.08
505
0.09
505
0.08
505
host
Champion
Finalists
0.366
0.355
(8.62)***
rgdplinthousands
0.036
(2.54)**
populationinmillions
urbanpopulationinmillions
_cons
R2
N
(6.05)***
0.020
(0.99)
-0.000
-0.000
(0.28)
(0.17)
-0.000
-0.003
(0.15)
(0.85)
-0.039
0.065
Third or Better
0.443
(6.57)***
-0.003
(0.12)
-0.002
(1.06)
-0.001
(0.19)
0.181
Semifinalists
0.436
(6.28)***
-0.004
(0.19)
-0.002
(0.78)
-0.002
(0.46)
0.189
(1.16)
(1.41)
(3.38)***
(3.45)***
0.15
505
0.08
505
0.10
505
0.09
505
Champion
host
0.356
(8.52)***
rgdplinthousands
populationinmillions
urbanpopulationinmillions
R2
N
0.362
(5.91)***
-0.002
-0.004
(0.54)
(1.05)
-0.001
-0.002
(1.17)
(1.43)
0.003
(1.59)
_cons
Finalists
0.027
0.004
(1.43)
0.087
Third or Better
0.415
(5.65)***
-0.007
(1.30)
-0.003
(2.25)**
0.009
(2.71)***
0.129
Semifinalists
0.407
(5.40)***
-0.007
(1.41)
-0.003
(1.75)*
0.008
(2.18)**
0.135
(2.01)**
(4.48)***
(5.53)***
(5.67)***
0.14
480
0.07
480
0.08
480
0.07
480
host
Champion
Finalists
0.301
0.384
(6.87)***
rgdplinthousands
populationinmillions
urbanpopulationinmillions
-0.001
-0.002
(0.36)
(0.56)
-0.001
-0.001
(1.12)
(0.44)
0.003
(1.23)
_cons
R2
N
(6.45)***
0.040
0.001
(0.38)
0.086
Third or Better
0.464
(6.53)***
-0.005
(1.03)
-0.002
(1.54)
0.007
(2.01)**
0.130
Semifinalists
0.456
(6.29)***
-0.006
(1.16)
-0.002
(1.09)
0.005
(1.52)
0.136
(2.69)***
(4.28)***
(5.43)***
(5.60)***
0.09
505
0.08
505
0.09
505
0.08
505
• Home Advantage helps an African country win the Africa Cup
of Nations
• Total Population does not improve the odds of winning the
tournament, or reaching the semifinals
• Ambigious results with GDP Per Capita and Urban
Population.