Official Econometrics Report_Trangntt50

8/12/2019 Official Econometrics Report_Trangntt50

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Econometrics ReportTopic:

Factors that affect the selfstudying time of students at Hanoi Foreign Trade

University of Viet Nam

Group:

L ThThuA19 CLC TCNHK50

Hong ThThu Hng A21 CLC TCNHK50

Nguyn ThThu TrangA21 CLC TCNHK50


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TABLE OF CONTENTS

Part one: INTRODUCTION........................................................................................................ 3

1. Topic introduction:............................................................................................................. 3

2. Objects and Scope of survey.............................................................................................. 3

3. Investigated factors............................................................................................................ 3

4. Survey Form........................................................................................................................ 4

5. Result................................................................................................................................... 5

Part two: ESTABLISHING REGRESSION MODEL.............................................................. 6

1. Population Regression Model............................................................................................ 6

2. Variables Explanation........................................................................................................ 6

3. Summary statistics:............................................................................................................ 8

Part three: EMPIRICAL RESULTS........................................................................................... 9

1. Running The Regression Model........................................................................................ 9

2. Hypothesis Testing............................................................................................................ 14

Part four: INTERPRETATION AND SUGGESTION........................................................... 16

1. Interpretation:.................................................................................................................. 18

2. Application of this model:.................................................................................................. 18

Part five: CONCLUSION........................................................................................................... 20

APPENDIX.................................................................................................................................. 21

REFERENCES............................................................................................................................ 23


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Part one

INTRODUCTION

1. Topic introduction:Foreign Trade University students are well-known for being smart, active,

responsive who always want to take advance in study and life. But how many of

those have already had enough knowledge of spending time and its effect on

studying, the essential thing to us as students. To realize what influence the self-

studying time of students, our group decided to choose Factors that affect theselfstudying time of students at Hanoi Foreign Trade University of Viet Nam

as the topic of econometric report.

In this report, we will be finding the factors that influence the times for

studying at home of foreign trade students, which factors impact mostly and how

should we interpret the conclusion from the result of data.

Our group hope that we can bring an viewpoints in the way student using their

time in studying and helpful advice.

2. Objects and Scope of surveyOur study, information and data were collected from the Foreign Trade

University in Hanoi - one of the most famous universities in Vietnam, which have

trained a lot of potential students. We distributed the online survey for students of

K48, K49, K50 and K51 that are studying in Hanoi Foreign Trade University.

3. Investigated factorsTo carry out this research of Factors impact the studying time of FTU

students, our group consider 10 factors to focus on:


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1. Time for Outdoor Activities (For playing, friends, part-time work)2. Time for Classes3. Year at FTU4. Time for Chores5. Time to the nearest Test6. Gender7. Rate of Competition in Studying Environment8. Parents Strictness9. State of Relationship10. Consideration of the Importance of Studying

4. Survey Form.To investigate those factors, we use the following form with 11 question.

ID Question Answer

1What is the average amount of time you use to study

yourself? (including self-studying and group-studying)hours per week

2How much time you spend on outdoor activities?(including entertaining time, social activities time, part-

time job time)

hours per week

3 How much time you spend on classes on average? hours per week

4 Which year at FTU are you in? year

5 How much time you spend on chores on average? hours per week

6 How much longer will you have to take a test? days

7 What is your gender? Male Female

8 Is your studying environment competitive? Yes No

9 Are your parents strict with your studying? Very strict. Not very strict.


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No strict at all.10 Are you single or not?

Yes No

11 Is studying important in your opinion?

Very important.

Not very important. No important at all.

5. Result.99 surveys were sent and recorded but only 64 were valid. 64 random students

were become the objects surveyed for this issue. Based on collected data from valid

surveys, we conducted imputing data.


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Part two

ESTABLISHING

REGRESSION MODEL

1.Population Regression Model

2.Variables Explanation

Kinds of

VariableID Variable Meaning Value

Predicted

signExpectation

Dependent

variable1 Y

Time for self-

studying.

exact

number

Quantitative

variables

2 X1

Time for

Outdoor

Activities (For

playing,

friends)

exactnumber

+/-

Time for outdoor

activities may

have positive ornegative effect

on self-studying

time.

3 X2Time for

Classes

exact

number+/-

Time for classes

may have

positive or

negative effect

on self-studying

time.

4 X3 Year at FTUexact

number+/-

The year at FTU

may have

positive or


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negative effect

on self-studying

time.

5 X4Time for

Chores

exact

number-

The more time is

spent on chores,the less time is

spent on

studying.

6 X5Time to the

nearest Test

exact

number-

The less time is

left for the

nearest test, the

more time is

spent on

studying.

Binary

variables

7 D1 Gender

1 for

male

0 for

female

+/-

Gender may

have positive or

negative effect

on self-studying

time.

8 D2

Rate of

Competition

in Studying

Environment

1 for

yes

0 for

no

+

The more

competitiveness

there is, the more

time is spent on

studying.

9 D3Parents

Strictness

2 or 1

or 0+

The stricter

parents are with

children'sstudying, the

more time is

spent on

studying.


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10 D4State of

Relationship

1 for

single

0 for

not

single

+/-

State of

relationship may

have positive or

negative effect

on self-studyingtime.

11 D5

Consideration

of the

Importance of

Studying

2 or 1

or 0+

The more

important the

studying is

considered, the

more time is

spent on

studying.

3.Summary statistics:

Valuable Mean Median Minimum MaximumStandard

Deviation

Y 15,9453 15 1 35 8,307619426

X1 18,2969 15 2 70 14,14840946

X2 19,5469 17,75 2 100 12,35121412

X3 2,34375 2 1 4 1,034087007

X4 10,8125 7,5 1 35 8,030946006

X5 15,2031 10 1 60 14,90195005

D1 0,3125 0 0 1 0,463512405

D2 0,82813 1 0 1 0,377271765

D3 0,92188 1 0 2 0,477777652

D4 0,71875 1 0 1 0,449609205

D5 1,5 2 0 2 0,684653197


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Part three

EMPIRICAL RESULTS

1. Running The Regression Modela. Model 1:

Before running the regression model, we check the normality problem:

Hypothesis H0: There is no normality problem.

H1: Normality problem exists.

Thanks to Gretl, we have the following result:


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As can be seen clearly from the table and graph, P-value= 0.9501 > =0.05.

We conclude that error is normally distributed and there is no problem of normality

of residual.

We run the regression on Gretl and receive the result as follow:

As we can see, there are 4 variables that has statistical significance, they are

X2, D1,D2 and D5. 6 variables left have not had statistical significance. The signsof significant variable follows our expectation. R- squared is 38.15% and Adjusted

R-squared is 26.48%.

Therefore we will use the new model 2with Yi and 4 variables: X2, D1, D2

and D5.


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b. Model 2:Before running the regression model 2, we check the normality problem:





We conclude that error is normally distributed and there is no problem of normalityof residual.

We run regression with 4 significant variables.


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Our model has R2= 28,88% and Adjusted R

2= 24,06%. The sign all variables

is followed our expectations. We will continue to test this model 2.

As can be seen from the result above:

-P-value (2) = 0,0859 < =0.1 Time for classes affects the result.- P-value (6) = 0,1919 >=0.1 Gender does not affect the result.

-P-value (7) = 0,0338 < =0.1 The rate of competition affects the result.-P-value (10) = 5,39e-05 < =0.1 Consideration of the importance of

studying affects the result.

Therefore we will use the new model 3with Yi and 3 variables: X2, D2 and

D5.

c. Model 3:Before running the regression model 3, we check the normality problem:





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We conclude that error is normally distributed and there is no problem of normality

of residual.

We run regression with 3 significant variables.


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Our model has R2= 26,78% and Adjusted R

2= 23,12%. The sign all variables

is followed our expectations. And with the confidence level of 10%, all the

variables have statistical significance. And we will continue to test this model 3.

2. Hypothesis TestingThe confidence level of all the tests below is 5%

a. Testing the suitability of SRF model with the sample statisticsBased on the Model 2 above:

P-value (F statistics) = 0,000293< =0.05 the SRF model is suitable with the sample statistics

b. Model specificationLack of necessary variable.In this part we will test if we have just omitted necessary variable. Using

Ramseys reset test, we have the following result:


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As can be seen from the result, the P-value is greater than =0.05 in all the

test. So we can conclude that we have not omitted necessary variables.

c. MulticollinearityRun auxiliary regression models one by one with variables, we have some

compatible R2and F as follow:

With k = 4, n = 64,

X2:

D2:

D5:

As can be seen from the result, the FXi, Diare all smaller than the F(k-2,n-k+1)=

F(2,61)so we can conclude that there is no multicollinearity.

d. HeteroskedasticityIn this part, we continue with the second consumption using White test.


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Hypothesis: H0: There is no heteroskedasticity problem.

H1: Heteroskedasticity problem exists.

The software gives us the result below:

P-value is equal to 0.695994, which is larger than =0.05 concluding that: we

do not reject Ho. In other words, there is no problem of heteroskedasticity.

e. Normality of ResidualIn this part, we will answer the question whether the error term Ui has normal

distribution. This work has already been done in the part 1. Running The

Regression Model.

f. AutocorrelationAs can be seen from the statistic of Durbin-Watson test, the p-value is

0.445703 > =0.05, so we can conclude that the model has no problem with

autocorrelation.


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Part four

INTERPRETATION

AND SUGGESTION

1. Interpretation:After running regression and testing all the assumptions for multiple

regressions, we have the following equation with R2= 26,78%

Studying time = 3,77885 + 0,144053*Time for classes + 5,46954*Rate of

Competition + 5,60707 *Importance of Studying + Ui (3.1)

According to the function (3.1), we can conclude as follows:

- 1: Providing that others factors are unchanged, when the time for classes

increases 1 hour, the working time increases by 0,144053 hours and vice versa.

- 2: Providing that other factors are unchanged, when there is competitiveness

in studying environment, the studying time increases by 5,46954 hours and vice

versa.

- 3: Providing that other factors are unchanged, when the importance of

studying to a student increases 1 times, the working time increases by 5,60707

hours and vice versa.

2. Application of this model:

From this model we can create a list of factors that have the most influence on

time for studying of students in Foreign Trade University.


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It can be seen that the more classes students take part in, the more time they

have to spend on studying at home. But they have to consider carefully went enroll

in any classes because one more classes means that more time spent and more

stress as well. Students should try to balance between studying and learning to have

a healthy mental life.

Besides, it can be concluded that competitiveness is actually a good way for

teachers to encourage students to spend more time in studying. Teachers should

find methods to increase the rate of competitiveness in their classes such as

rewarding points for active and diligent students, holding more small competition

in classes This result is also meaningful to students. It can be seen that to be

more concentrated in studying they should pay attention to other students and try to

keep up with them as well as to be the best in every classes, departments and so on.

Last but not least, attitude towards studying is also inevitably important.

Students should define their goals clearly to distribute their time appropriately. This

is also true whenever people try to achieve anything, definite targets and plans are

essential. And it is better to have a fixed point of view.


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Part five

CONCLUSION

From our regression model, we can conclude that among 10 variables, there

are some variables that follow our expectation but some do not. This indicates the

gap between theory and reality, which can be unpredictable and impossible to

fulfill without the help of subjects like Econometrics.

Besides, during the process of preparing this report, we have to face some

problems. The most challenged problem arising from the first step is that choosing

the independent variables to design our survey because there are many factors that

impact the studying time of students. And it is not easy to create the short list which

has to have enough factor but be as simple as possible. Beside, preparing the survey

form is also another challenge because if the questions are not exact and clear

enough, the result may change unexpectedly. Last but not least, it is also not easy to

draw the right and meaningful conclusion from the result of the research, which isan inevitably important steps in the process of research. However during the time

of doing this exercise we had chance to practicing team-working and understanding

more about the econometrics and its application in life.

To do this research paper, we hope to have an outlook into the self-studying

time of foreign trade universitys students as a representative for the students as a

whole. From the result of this paper, we also suggest some solutions for students to

manage their time best to reach their goal at universities.

We are sincerely grateful for the considerable help of Dr . TThy Anh and

MA. Thi Long dur ing the process of thi s report.


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APPENDIX

SURVEY RESULT

SelfStudy

Time

(Y)

Outd

oorActiv

ites

Time(X1)

Classes

Time

(X2)

Year

(X3

)

Chores

Time

(X4)

Timeto the

nearestTest

(X5)

Gend

er(D1)

Compe-

tition

(D2)

Parents'

Strictness (D3)

Relatio

n- ship(D4)

Impor

t-ance

of

Study(D5)

1 20 2 2 20 30 1 0 1 0 0

2 10 20 2 7 15 0 0 1 1 0

3 7 24 1 1 3 0 1 1 1 0

3,5 39 17,5 2 16 32 0 0 1 1 0

4 10 20 3 7 10 1 0 1 1 0

4 70 17 4 3 10 1 0 1 1 2

6 12 20 2 6 14 1 0 1 1 2

6 25 12 4 2 1 0 1 1 0 0

6 28 15 3 12 3 0 0 1 1 0

7 15 25 2 7 40 0 0 2 1 2

7 20 12 4 7 30 0 0 1 1 1

7 30 28 2 21 14 1 0 1 0 2

8 3 16 3 9 5 1 0 1 1 2

8 7 24 2 2 2 0 0 0 0 2

8 8 8 1 4 3 0 0 1 0 28 15 18 2 15 12 1 0 2 1 2

8 20 15 4 3 50 0 0 0 0 1

10 5 16 2 2 30 1 0 0 1 2

10 10 10 1 5 5 0 0 1 0 2

10 10 10 4 7 60 0 1 0 1 1

10 20 15 3 35 60 0 0 1 1 2

12 8 13,5 2 14 40 0 0 1 1 1

14 2 15 2 6 20 0 0 1 1 2

14 8 15 4 7 5 0 0 1 1 2

14 10 20 3 4 12 0 1 0 1 1

14 10 20 4 10 4 0 0 1 1 1

14 10 25 1 14 8 0 0 1 0 2

14 20 18 4 2 4 0 0 0 1 1

14 40 10 2 10 3 1 0 1 1 2

15 3 12 2 3 27 0 0 2 1 2

15 4 18 2 10 28 0 0 1 1 2


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15 5 18 3 8 4 0 0 1 0 1

15 15 16 2 6 4 1 0 1 1 2

15 50 12 1 20 1 0 0 1 1 1

18 6 15 2 3 20 0 0 1 0 1

18 15 30 1 15 7 0 0 1 1 1

18 20 20 2 20 15 0 1 0 1 1

18 38 20 2 15 14 0 0 1 1 1

20 8 25 2 8 5 0 0 1 0 1

20 10 20 2 15 30 0 0 1 0 2

20 10 20 3 7 7 1 0 2 0 2

20 15 12 4 15 1 0 1 1 0 2

20 15 15 2 7 30 1 0 1 1 2

20 20 25 2 25 3 1 0 1 0 2

20 35 15 4 35 14 1 0 1 1 2

21 8 28 1 28 14 0 0 1 1 2

21 10 12 1 7 3 1 0 1 1 2

21 10 30 1 15 7 0 0 1 1 2

21 10 100 3 7 4 0 0 1 1 1

21 21 42 2 14 19 1 0 1 1 2

21 25 17 4 10 3 0 1 0 1 2

21 30 20 4 7 20 0 0 0 0 2

22 10 24 1 7 6 0 0 0 1 2

23 15 18 2 21 25 1 0 1 1 1

24 30 15 4 30 7 1 1 1 0 2

25 30 10 2 14 15 0 0 1 1 228 15 12 2 10 15 1 1 1 0 2

28 30 40 3 14 60 0 0 1 1 2

30 5 28 2 21 14 0 0 1 1 2

30 6 11 1 1 6 1 1 1 1 2

30 20 28 3 5 10 0 0 2 1 1

30 70 12 1 2 4 0 1 1 1 1

35 30 12 1 7 2 0 0 1 1 2

35 35 18 1 2 4 0 0 1 1 2


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REFERENCES

Books- Econometrics Lecture (Vietnamese Edition) Published by National

Economics University

- James H. Stock and Mark W. Watson (2008), Introduction toEconometrics (Brief Edition), US: Pearson.

- Damodar Gujarati,BasicEconometrics.

Lecturers help- Dr. TThy AnhHead of Faculty of International Economics

FTU

- MA. Thi Long Lecturer of Faculty of International Economics FTU.

Documents

Official Econometrics Report_Trangntt50