includes index.

Data variable and models-- introduction to probability and statistical inference--random variable and probability distributions-- classical statistical inference-- Bayesian inference and decision theory-- introduction to econometric methods-- descriptive measures --simple linear regression multiple regression-- dummy variable, lagged variables and nonlinearities in multiple regression-- some further topics in multiple regression-- introduction to simultaneous- equation models-- hetroscedasticity and autocorrelation-- error in variables and nonnormal errors-- covariance analysis and pooling cross section and time series data--trend seasonal variationand forecasting-- distributed- lag model-- varying parameter model-- bayesian methods to econometrics-- appendix