Coming soon
STATISTICAL METHODS FOR ECONOMIC ANALYSIS
To acquaint the students with statistical techniques useful for economic analysis.
Measures of central tendency, dispersion - standard deviation, coefficient of variation, Lorenz curve, Gini concentration ratio – Skewness (simple problems).
Elementary probability theory, concepts, binomial, Poisson and normal distribution.
Sampling distribution, standard error-testing of hypothesis: χ2, F- ANOVA, testing correlation and regression coefficients.
Correlation, regression, simple, multiple, linear (simple problems) – OLS-assumptions-violation of assumptions - heteroscedasticity, autocorrelation and multicollinearity (concepts only). Interpretation of Co-efficient
-Introduction to non-linear regression.
Uses, selection of number of items, base year price relatives-Fisher’s ideal index-Factor reversal test-Time reversal test- Chain index-Base shifting –conversion of current price data into constant price data- price index numbers in India – Components of time series - Moving averages-Straight line trend- Seasonal Index.
- Gupta, S.C. (1993), Fundamentals of Applied Statistics, S. Chand & Sons, New Delhi.
- Speigal, M.R. (1992), Theory and Problems of Statistics, McGraw Hill Book Co., London.
- Chou, Y. (1975), Statistics Analysis, Holt, Reinhart and Winston, New York.
- Croxton, Crowden and Klein (1971), Applied General Statistics, Prentice Hall of India, New Delhi.
- Nagar, A.L. and R.K. Das (1993), Basic Statistics, Oxford University Press, New Delhi
- Salvatore, Dominick (1982), Statistics and Econometrics, McGraw Hill, New DelhiSarantakos, S. 2005, Social Research, Palgrave MacMillan.
