: Utilized for complex panel data and microeconometric modeling.
If you are looking to master the techniques of applied econometrics, this book is an excellent starting point.
: The authors present essential equations without overwhelming the reader with abstract proofs.
: Applying ARCH and GARCH models to financial market data. 4. Panel Data and Microeconometrics applied econometrics dimitrios asteriou pdf
If you have struggled with texts that are either too mathematical (e.g., Greene) or too simplistic (e.g., basic introductory stats), Asteriou and Hall offer the middle ground —the practical cookbook with the theoretical backbone. It teaches you how to apply econometrics, not just what it means in theory.
: The content moves smoothly from basic linear regressions to advanced time-series and panel data techniques. Key Topics Covered in the Book
| Part | Topic & Chapters | Key Concepts Covered | | :--- | :--- | :--- | | | Statistical Background and Basic Data Handling 1. Fundamental Concepts 2. The Structure of Economic Data and Basic Data Handling | Probability, distributions, hypothesis testing; cross-sectional, time series, panel data; data transformation, handling missing observations. | | II | The Classical Linear Regression Model (CLRM) 3. Simple Regression 4. Multiple Regression | Ordinary Least Squares (OLS), R-squared, t-tests, F-tests; matrix notation, partial effects, model specification. | | III | Violating the Assumptions of the CLRM 5. Multicollinearity 6. Heteroskedasticity 7. Autocorrelation 8. Misspecification: Wrong Regressors, Measurement Errors And Wrong Functional Forms | Variance Inflation Factor (VIF), detection and remedies; White's test, GLS; Durbin-Watson, Breusch-Godfrey test; RESET test, proxy variables, functional form misspecification. | | IV | Topics in Econometrics 9. Dummy Variables 10. Dynamic Econometric Models 11. Simultaneous Equation Models 12. Limited Dependent Variable Regression Models | Intercept/slope dummies, Chow test; distributed lags, autoregressive models; Two-Stage Least Squares (2SLS), identification; Logit, Probit, Tobit models. | | 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 | Stationarity, autocorrelation functions; volatility clustering, GARCH (1,1) models; impulse response functions, Granger causality; Dickey-Fuller (ADF) tests; Engle-Granger method, Vector Error Correction Model (VECM). | | VI | Panel Data Econometrics 21. Traditional Panel Data Models 22. Dynamic Heterogeneous Panels 23. Non-Stationary Panels | Fixed effects, random effects; Panel ARDL, Mean Group estimators; panel unit root tests, panel cointegration. | | VII | Using Econometric Software 24. Practicalities in Using EViews and Stata | Importing data, running regressions, performing tests, generating graphs in the most common statistical software packages. | : Utilized for complex panel data and microeconometric
This approach ensures that readers do not just learn how to run regressions, but thoroughly understand what the outputs mean and how to interpret them in economic contexts. Key Topics Covered in the Textbook
Applied Econometrics eBook - Dimitrios Asteriou - Amazon.com
Rather than relying on stylized, artificial data, Asteriou and Hall use authentic economic indicators—such as GDP growth rates, inflation data, stock market indices, and employment statistics. This gives readers immediate insight into how econometrics is used to inform policy decisions, evaluate corporate strategies, and forecast market trends. The Role of the Text in Modern Academic Research : Applying ARCH and GARCH models to financial market data
: Emphasizes the interpretation of results and real-world economic theory over dense mathematical derivations.
For researchers working with data that tracks multiple subjects over time, the book covers panel data techniques. It explains the critical differences between Fixed Effects (FE) and Random Effects (RE) models, guided by the Hausman specification test. Understanding the Demand for the PDF Version