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Econometrics by example / Damodar Gujarati

By: Gujarati, Damodar.
Material type: TextTextPublisher: New York, New Delhi : Palgrave macmillan, Bloomsbury, 2011, 2022.Edition: 2nd ed.Description: xxvii, 371 p. 466 p. 23cm.ISBN: 9789354356117.Subject(s): Econometrics | Applied econometrics | Regression analysis | Economic models | Statistical methods—Economics | economicDDC classification: 330.015195
Contents:
Table of Contents:--- 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.
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books General Library (Scottish Church College) General Library (Scottish Church College) Economics 330.015195 G971Ec (Browse shelf(Opens below)) Available 72438
Books Books General Library (Scottish Church College) General Library (Scottish Church College) Economics 330.015195 G971Ec (Browse shelf(Opens below)) C1 Available 85944

Table of Contents:---
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.

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