Introduction to econometrics / James H. Stock, Harvard University, Mark W. Watson, Princeton University.
Material type:
TextSeries: The Pearson series in economicsPublisher: Boston : Pearson, [2015]Edition: Third editionDescription: 836 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 9781292071312 (hardcover)
- 1292071311 (hardcover)
- 330.015195 23 S.J.I
- HB139 .S765 2015
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Books
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Main library A4 | Faculty of Economics & Political (Economics) | 330.015195 S.J.I (Browse shelf(Opens below)) | Available | 00012713 |
economic&political bookfair2016
Includes bibliographical references (pages 765-769) and index.
Part I. Introduction and Review. 1. Economic Questions and Data --
2. Review of Probability --
3. Review of Statistics --
Part II. Fundamentals of Regression Analysis. 4. Linear Regression with One Regressor --
5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals --
6. Linear Regression with Multiple Regressors --
7. Hypothesis Tests and Confidence Intervals in Multiple Regression --
8. Nonlinear Regression Functions --
9. Assessing Studies Based on Multiple Regression --
Part III. Further Topics in Regression Analysis. 10. Regression with Panel Data --
11. Regression with a Binary Dependent Variable --
12. Instrumental Variables Regression --
13. Experiments and Quasi-Experiments --
Part IV. Regression Analysis of Economic Time Series Data. 14. Introduction to Time Series Regression and Forecasting --
15. Estimation of Dynamic Causal Effects --
16. Additional Topics in Time Series Regression --
Part V. The Econometric Theory of Regression Analysis. 17. The Theory of Linear Regression with One Regressor --
18. The Theory of Multiple Regression.
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