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Data Science Project Report

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DATA SCIENCE PROJECT REPORT
Subject title and code: Global Economic Environment (AF2602)
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Data Science Project Report
In this report, and to calculate the sample size, mean and standard deviation, in addition to the setting of hypotheses, and estimating the fixed-effect model by a Python program, we shall collect data from WDI for the dependent variable, which is Imp. of g&s as a % of GDP, while the four independent variables are; Cab as a % of GDP, Inflation Consumer Price Index, Population, and Money Supply Growth. We shall conclude by testing the hypotheses one by one, and explaining why each is or is not supported by the findings.
The following table represents the list of samples of countries, period, size, mean, and standard deviation. The data is extracted from Databank, World Development Indicators, WDI (The World Bank, 2021). The sample size is 100, the sample mean is 41263051.96, and the standard deviation is75488830.3.
Sample size

 

 

 

 

 

 


100

 

 

 

 

 

Sample mean

 

 

 

 

 

 


41263051.96

 

 

 

 

 

Sample Standard deviation

 

 

 

 

 

 


75488830.3

 

 

 

 

 

Sample period

Sample country

Current Account Bal_gdp

inflation_cpi

Population

Money Supply_growth

Imports g&s (% of GDP)

















2010

Australia

-3.9012953

2.918340027

22031750

10.1307768

20.83966397


2011

Australia

-3.181266533

3.303850156

22340024

7.967777688

20.47031601


2012

Australia

-4.170542032

1.762780156

22733465

7.347916752

21.72951827


2013

Australia

-3.037241645

2.449888641

23128129

6.747131992

21.25226273


2014

Australia

-2.957266065

2.487922705

23475686

7.0328977

21.46703534


2015

Australia

-4.213876251

1.508366722

23815995

5.984082435

21.50952757


2016

Australia

-3.394591403

1.276990945

24190907

6.666188127

21.52658435


2017

Australia

-2.704785324

1.948647409

24601860

4.521987656

20.61296969


2018

Australia

-2.078660736

1.911400944

24982688

2.373822341

21.44074306


2019

Australia

0.575224839

1.610767873

25365745

14.05953319

21.59949403


2010

India

-3.253484046

11.98938992

1234281163

17.80217706

26.85427325


2011

India

-3.429288264

8.858360966

1250287939

16.13758934

31.08346869


2012

India

-5.004888982

9.312445605

1265780243

11.04569666

31.25929107


2013

India

-2.645666243

11.06367478

1280842119

14.83153

28.41327065


2014

India

-1.33950833

6.649500151

1295600768

10.5873816

25.95422274


2015

India

-1.067549349

4.906973441

1310152392

10.61772456

22.10972471


2016

India

-0.527880354

4.948216341

1324517250

6.800954124

20.9242508


2017

India

-1.439488918

3.328173375

1338676779

10.43104371

21.95073212


2018

India

-2.428608822

3.945068664

1352642283

10.51961998

23.65741648


2019

India

-1.036851495

3.723276483

1366417756

10.51024843

20.95738453


2010

Japan

3.875161124

-0.719979429

128070000

1.77536909

13.57996924


2011

Japan

2.104710269

-0.267633601

127833000

2.901211899

15.42049847


2012

Japan

0.969126782

-0.051939058

127629000

2.203783012

16.0561363


2013

Japan

0.899555493

0.346440326

127445000

3.535573985

18.19461192


2014

Japan

0.749450928

2.761954083

127276000

2.858347386

20.01277922


2015

Japan

3.109068449

0.78951789

127141000

3.000245922

17.99064852


2016

Japan

4.003003875

-0.116666667

126994511

3.907680064

15.25227761


2017

Japan

4.174530252

0.467211747

126785797

3.507965686

16.83177447


2018

Japan

3.577708453

0.97990367

126529100

2.286517685

18.30947576


2019

Japan

3.490931282

0.476973684

126264931

2.119655646

17.39605215


2010

Malaysia

10.05571843

1.622852356

28208028

7.347736051

71.01446982


2011

Malaysia

10.90499128

3.174470922

28650962

14.62793829

69.6822425


2012

Malaysia

5.18877827

1.663571025

29068189

8.846019729

68.54184084


2013

Malaysia

3.466133636

2.105012312

29468923

7.397400682

67.09195043


2014

Malaysia

4.391645334

3.142990509

29866606

6.304048086

64.51873255


2015

Malaysia

3.008923124

2.104389802

30270965

3.043535132

61.92138155


2016

Malaysia

2.36769105

2.090566595

30684652

2.801133603

60.12356457


2017

Malaysia

2.807844141

3.871201158

31104655

4.644639093

63.14343086


2018

Malaysia

2.237542243

0.884709161

31528033

7.68802392

61.86083622


2019

Malaysia

3.371751531

0.662891866

31949789

2.674720321

57.77955669


2010

Philippines

3.445411927

3.789836348

93966784

10.89708277

33.22944879


2011

Philippines

2.409188641

4.718417047

95570049

5.306749763

31.69040782


2012

Philippines

2.653278535

3.026963911

97212639

6.977796232

30.37493166


2013

Philippines

4.009651001

2.582687661

98871558

29.32950255

29.64736142


2014

Philippines

3.61564288

3.597823439

100513137

12.43750048

30.1136679


2015

Philippines

2.370947775

0.674192537

102113206

9.195824606

31.93353487


2016

Philippines

-0.376262947

1.253698801

103663812

13.32627303

35.10306242


2017

Philippines

-0.652387671

2.853187726

105172921

11.42312495

38.61607889


2018

Philippines

-2.559391605

5.211604606

106651394

8.999145745

41.94979293


2019

Philippines

-0.808558128

2.480278587

108116622

9.843921639

40.45892225


2010

Singapore

22.93321266

2.823661349

5076732

8.590320534

171.686595


...
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