Admissions Syllabus Past Papers Date Sheets Results Latest Jobs

# Econometrics Theory and Application, MA Economics Sargodha University Past Papers 2017

### Sergoda University MA Economics Paper-VIII Econometrics Theory and Application Past Papers 2017

Here you can download Past Papers of Paper-VIII Econometrics Theory and Application, MA Economics Part Two, 1st & 2nd Annual Examination, 2017 University of Sergoda.

Econometrics Theory and Application UOS Past Papers 2017

M.A. Economics Part – II

Paper-VIII(Econometrics)

1st Annual Exams.2017

Time: 3 Hours                                Marks:100

Note: Objective part is compulsory. Attempt any four questions from subjective parts

Objective Part

Q.1:Write short answers of the following on your answer sheet in two lines only.                                 (2*10)

1. What are ingredients of econometric model?
2. Differentiate between mathematical economics and econometrics.
3. Why we estimate standardized coefficients.
4. What is the format of ANOVA TABLE?
5. How can you define the problem of perfect multicollinearity?
6. What are the consequences of heteroskedasticity for OLS estimation?
7. How can you evaluate the forecasting power of a model?
8. List out the causes of coefficient variation.
9. Which tests can be used for identifying restrictions?
10. What is cointegration?

Subjective Part

Q.2: (a) Define econometrics and discuss its scope in detail.

(b)        Explain methodology of econometric research by discussing the stages of specification, estimation, evaluation and forecasting.

Q.3:     By using the following data, estimate appropriate model and test individual significance of parameters at 5% level of significance. Do the data support the existence of Phillips-Curve relationship (negative relationship between % change in wage rate and unemployment rate)

 % Change in wage rate 5 3.2 2.7 2.1 4.1 2.7 2.9 4.6 3.5 4.4 4 7.7 5.7 9.5 Unemployment % 1.6 2.2 2.3 1.7 1.6 2.1 2.6 1.7 1.5 1.6 2.5 2.5 2.5 2.7

Q.4: (a) What are the major causes of autocorrelation in a time series data.

b. Following residuals are estimated for a certain relationship. Apply an appropriate test to detect autocorrelation at 1% level of significance.

 Sr. No. 1 2 3 4 5 6 7 8 9 10 Residual 1 -1.5 -0.7 -1.3 -4.65 -0.3 -3.1 -5.5 -4.7 -1.3 Sr. No. 11 12 13 14 15 16 17 18 19 20 Residual 4.6 4.3 1.9 1.9 2.9 2.6 -2.3 0.9 1.4 3.7

Q.5: By considering the following model:

W1 = a1 + Kt + U1

Kt = β1 wt + β2Xt + U2

Prove that α1(ILS) = α1(2SLS)

Q.6: By considering the repression model:

Yt+1 = a + βXt+1 + et+1

Find mean and variance for un-conditional forecasts when

1. a is estimated, β is known
2. a is known and β is unknown

Q.7: Write note on the following

1. Detection on the following.
2. Recursive equation system.