Applied Econometrics

Preface.- PART I: STATISTICAL BACKGROUND AND BASIC DATA HANDLING.- 1. Fundamental Concepts.- 2. The Structure Of Economic Data and Basic Data Handling.- PART II: THE CLASSICAL LINEAR REGRESSION MODEL.- 3. Simple Regression.- 4. Multiple Regression.- PART III: VIOLATING THE ASSUMPTIONS OF THE CLRM.- 5. Multicollinearity.- 6. Heteroskedasticity.- 7. Autocorrelation.- 8. Misspecification: Wrong Regressors, Measurement Errors And Wrong Functional Forms.- PART IV: TOPICS IN ECONOMETRICS.- 9. Dummy Variables.- 10. Dynamic Econometric Models.- 11. Simultaneous Equation Models.- 12. Limited Dependent Variable Regression Models.- PART V: TIME SERIES ECONOMETRICS.- 13. ARIMA Models And The Box–Jenkins Methodology.- 14. Modelling The Variance: ARCH–GARCH Models.- 15. Vector Autoregressive(VAR) Models And Causality Tests.- 16. Non-Stationarity and Unit Root Tests.- 17. Cointegration and Error-Correction Models.- 18. Identification In Standard and Cointegrated Systems.- 19. Solving Models.- 20. Time Varying Coefficient Models: A New Way of Estimating Bias Free Parameters.- PART VI: PANEL DATA ECONOMETRICS.- 21. Traditional Panel Data Models.- 22. Dynamic Heterogeneous Panels.- 23. Non-Stationary Panels.- PART VII: USING ECONOMETRIC SOFTWARE.- 24. Practicalities in Using Eviews and Stata.<p></p>