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M.A-M.A Economics 3rd Sem EC : 303 (B) (Econometrics)(University of Pune, Pune-2013)

Saturday, 08 November 2014 06:52Nitha

                                  M.A. (Part II) (Third Semester) EXAMINATION, 2013
                                                            ECONOMICS
                                                EC : 303 (B) (Econometrics)
                                                       (2008 PATTERN)

Time : Three Hours                                                                       Maximum Marks : 80

N.B. :—

(i) Attempt All questions.

(ii) Figures to the right indicate full marks.

(iii) Answers should be precise and to the point.

(iv) Use of non-programmable calculator is allowed.

 

1. Answer any one of the following questions : [20]

(i) Fit the curve of the type y = a . b
x
to the following data and estimate population for the year 2010 :

Year Population

(in millions)

2001 140

2002 170

2003 200

2004 250

2005 300

P.T.O.[4304]-304 2

(ii) What is autocorrelation ? Explain the methods of detection, consequences and remedial measures of
autocorrelation.

2. Answer any one of the following questions : [20]

(i) Obtain the reduced form equations for the stochastic processes.

(ii) Explain the three single equation methods of estimation for simultaneous equations model.

3. Answer any two of the following questions : [20]

(i) Define econometrics. Explain the scope and methodology of econometric research.

(ii) State the consequences and remedial measures for heteroscedasticity.

(iii) Explain the methods for detection of multicollinearity.

(iv) State and explain the features of probit model.[4304]-304 3 P.T.O.

4. Answer any four of the following questions : [20]

(i) What is the role of stochastic error term in the regression analysis ? Explain.

(ii) Explain stationarity and non-stationarity of stochastic processes.

(iii) Explain how dummy variable can be used as an alternative to Chow-test.

(iv) State the distributions of Best Linear Unbiased Estimators (BLUE) of the coefficients in the linear regression model
x
y = α + β
.
(v) What are structural equations and reduced form equation in relation to simultaneous equations model.

(vi) Explain Box-Jenkins methodology for economic forecasting of time series.


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