Econometrics by Example

PART I: BASICS OF LINEAR REGRESSION.- 1. The Linear Regression Model .- 2. Functional Forms of Regression Models .- 3. Qualitative Explanatory Variables Regression Models .- PART II: REGRESSION DIAGNOSTICS.- 4. Regression Diagnostic I: Multicollinearity .- 5. Regression Diagnostic II: Heteroscedasticity .- 6. Regression Diagnostic III: Autocorrelation .- 7. Regression Diagnostic IV: Model Specification Errors .- PART III: REGRESSION MODELS WITH CROSS-SECTIONAL DATA .- 8. Stochastic Regressors and the Method of Instrumental Variables.- 9. The Logit and Probit Models.- 10. Multinomial Regression Models.- 11. Ordinal Regression Models.- 12. Limited Dependent Variable Regression Models .- PART IV: TIME SERIES ECONOMETRICS.- 13. Modeling Count Data .- 14. Stationary and Nonstationary Time Series.- 15. Conintegration and Error Correction Models.- 16. Asset Price Volatility: the ARCH and GARCH Models.- PART V: SELECTED TOPICS IN ECONOMETRICS.- 17. Economic Forecasting.- 18. Panel Data Regression Models.- 19. Stochastic Regressors and the Method of Instrumental Variables.- 20. Quantile Regression Modeling.- 21. Multivariate Regression Models.

Damodar Gujarati is Emeritus Professor of Economics, US Military Academy, West Point, New York, USA. He has over 40 years of teaching and writing experience. As well as his bestselling textbooks he has published many articles in leading economics and statistics journals. He has Visiting Professorships at leading universities in the UK, Australia, Singapore and India.