Paul Turner holds a PhD in economics and has over thirty years of teaching experience at the university level. He has written numerous articles for prestigious international journals and is the author of Modern Macroeconomic Analysis (McGraw-Hill) and Econometrics in Practice (Mercury Learning and Information).
1: Probability and the Statistical Foundations of Econometrics
2: Statistical Inference
3: The Bivariate Regression Model
4: The Multivariate Regression Model
5: Serial Correlation
6: Heteroscedasticity, Functional Form, and Structural Breaks
7: Binary Dependent Variables
8: Stochastic Regressors
9: Dynamic Models
10: Time Series Analysis and ARIMA Modelling
11: Unit Roots and Seasonality
12: Cointegration
13: Vector Autoregressions
References
Index
