Explain the concept of multicollinearity. What are its consequences on estimates? What remedial measures would you suggest for problem of multicollinearity?

Explain the steps followed in estimation of parameters through the method of Generalised least squares (GLS).

What is meant by indirect least squares (ILS) method? Explain how the following model can be estimated using this method?

Demand function: See Answer →

What is meant by identification problem in a simultaneous equation system? How to decide whether an equation is identified?

What is meant by heteroscedasticity? Explain one of the remedial measures for the problem of heteroscedasticity

Consider the multiple regression models in its standard matrix form. Show that OLS estimators are Best Linear Unbiased Estimators (BLUE).

What do you understand by autocorrelation? What are the consequences of autocorrelation? How do you detect autocorrelation in a data set? Explain the steps you would follow to remove the problem of autocorrelation.

Cross section data and time series data

Research hypothesis and Statistical hypothesis

Research design and Research method

Interval scale and Ratio scale as measurement scale technique

Systematic sampling and stratified sampling

What is the difference between case study method and survey method?

What is cluster analysis? Which steps are involved in cluster analysis? Give illustration

Distinguish between Mono Method Research and Mixed Method Research. State the rationale for use of mixed methods research in social sciences.

State the common elements of interpretation and critical theory paradigm. How does Interpretivism paradigm is useful for theory building?

Using the hypothetical date on real GDP in India for 1960-2007, we obtain the following regression results in the following table:

Rate of growth of real GDP, USA, 1960-2007.

Dependent Variable: LRGDP Method: Least Squares Sample: 1960 2007 Included Observations: 48

R-squared      0.994454   Mean dependent var   8.647156 Adjusted Rsquared      0.994333 S.D         dependent var 0.442081 S.E.       of regression      0.033280     Akaike info criterion            -3.926969 Sum squared resid        0.050947 Schwarz criterion         -3.849003 Log likelihood        96.24727 Durbin- Watson stat            0.347740 F-statistic 8247.650 Prob (F-statistic)        0.000000

State the various forms of regression model. For working out the GDP growth rate of Indian economy, which form of regression model would you like to use?

Explain with illustration the conflict between Inductivism and Hypothetic-Deductivism. How these two methods are useful in undertaking research in social sciences.

Write a note on IPAT and KAYA identities.