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Create scatter plot in stata

20/03/2021 Client: saad24vbs Deadline: 3 days

BADM 735 - Comparative Economics – Assignment Five (C)

Creating Scatter Diagrams and Correlation Matrix Using Stata

A scatter diagram plots two variables taken from the same point in time for different countries

to show relationship between the two variables.

For better understanding of scatter plots watch the video contained in the link below

https://www.youtube.com/watch?v=30LcZqRfPRY

According to the text, economic outcomes measured by economic growth is affected by a number

of factors. Also, hundreds of empirical studies on economic growth across countries have

highlighted the correlation between economic growth and a variety of variables.

a) Using your data from Assignment 3 B: Construct a scatterplot, in stata, that shows the

relationship between:

 Economic growth and Gross capital formation (% of GDP) (A measure of Investment)

 Economic growth and General government final consumption expenditure (% of GDP)

 Economic growth and Trade (% of GDP)

 Economic growth and Inflation, consumer prices (annual %)

 Economic growth and Foreign direct investment, net inflows (% of GDP)

 Economic growth and Population, total

 Economic growth and Total natural resources rents (% of GDP)

**Economic growth is our dependent variable; all the other variables are independent**

The graphs below should serve as a guide.

According to the graph, there appears to be a

positive correlation between Economic

Growth and Investment. The Correlation

coefficient is about 0.154 which confirms a

weak positive correlation between the two

variables.

https://www.youtube.com/watch?v=30LcZqRfPRY
2

STATA COMMANDS FOR SCATTER PLOTS

STEP 1: USING THE COMMAND WINDOW INSTALL “asdoc” AS SHOWN BELOW

“asdoc” is an add-on to stata that allows you to produce nicely formatted tables tables in stata

STEP 2: USING THE YOUR DO-FILE YOU CAN CREATE SCATTER PLOTS AS

SHOWN BELOW

 Why twoway -Because a scatter diagram plots two variables or shows the relationship

between two variables.

 Ifit- Fit a line in the scatter plot

 Note that your dependent variable comes before the independent variable ( as you can see

economic growth comes before trade)

Please note also that you have to run the same command for all the other relationships; for

example to show the relationship between economic growth and inflation you run:

twoway (scatter Economic_Growth Inflation) (lfit Economic_Growth Inflation)

STEP 3: EDITING, FORMATTING AND SAVING YOUR GRAPH

 It is important you edit your graph to conform to the scatter plot shown above. The video

contained in the link below should help you edit and format your graph.

https://www.youtube.com/watch?v=PWFZ_-eQd8I&t=296s

STEP 4: COPY YOUR GRAPHS INTO WORD

https://www.youtube.com/watch?v=PWFZ_-eQd8I&t=296s
3

b) Create a correlation matrix table that shows pairwise correlation coefficients between the

following variables (without significance test): GDP growth (annual %), Gross capital

formation (% of GDP), General government final consumption expenditure (% of GDP),

Trade (% of GDP), Inflation, consumer prices (annual %), Foreign direct investment, net

inflows (% of GDP), Population, total, and Total natural resources rents (% of GDP)

For better understanding of correlations watch the video contained in the link below

https://www.youtube.com/watch?v=jf-SIOFUuEo

STATA COMMANDS FOR CORRELATION MATRIX

USING THE YOUR DO-FILE YOU CAN GENERATE THE CORRELATION MATRIX

AS SHOWN BELOW

A sample shot of a correlation matrix

 Column (1) is Economic Growth

 Column (2) is Investment

 Column (3) is Government Expenditure

The 0.154 shows the strength of the relationship between Economic growth and Investment

https://www.youtube.com/watch?v=jf-SIOFUuEo
4

c) Compare the correlation matrix with the scatter graphs. See the example below

According to the graph, there appears to be a

positive correlation between Economic

Growth and Investment. The Correlation

coefficient is about 0.154 which confirms a

weak positive correlation between the two

variables.

***Please do not hesitate to call or email if you need assistance***

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