Applied Econometrics / Dimitrios Asteriou & Stephen G. Hall

By:

Asteriou, Dimitrios

Contributor(s):

Hall, Stephen G

Material type: Text

TextLanguage: English Publication details: New Delhi : Bloomsbury, 2022. Description: 536 pISBN:

9789356401303

Subject(s):

Econometrics

DDC classification:

23 330.015195 AST

Contents:

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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
General Books	CUTN Central Library General Stacks	330.015 AST (Browse shelf(Opens below))	Available		46433

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.

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