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Book Categories |
| Review: Random variables and sampling theory | ||
| 1 | Covariance, variance, and correlation | |
| 2 | Simple regression analysis | |
| 3 | Properties of the regression coefficients and hypothesis testing | |
| 4 | Multiple regression analysis | |
| 5 | Transformations of variables | |
| 6 | Dummy variables | |
| 7 | Specification of regression variables: a preliminary skirmish | |
| 8 | Heteroscedasticity | |
| 9 | Stochastic regressors and measurement errors | |
| 10 | Simultaneous equations estimation | |
| 11 | Binary choice and limited dependent models, and maximum likelihood estimation | |
| 12 | Models using time-series data | |
| 13 | Autocorrelation | |
| 14 | Introduction to nonstationary time series | |
| App. A: Statistical tables | ||
| App. B: Data sets | ||
| Bibliography | ||
| Author index | ||
| Subject index |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Steve Pimentel
reviewed Introduction to Econometrics on February 03, 2017 Introduction to Econometrics
A good reference book for PhD level time series Econometrics. For more theoretical studies Hurn's "Econometric Modeling" is suggested.
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Add Introduction to Econometrics, Retaining the student-friendly approach of previous editions, Introduction to Econometrics, Fourth Edition, uses clear and simple mathematics notation and step-by step explanations of mathematical proofs to help students thoroughly grasp the, Introduction to Econometrics to the inventory that you are selling on WonderClubX
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Add Introduction to Econometrics, Retaining the student-friendly approach of previous editions, Introduction to Econometrics, Fourth Edition, uses clear and simple mathematics notation and step-by step explanations of mathematical proofs to help students thoroughly grasp the, Introduction to Econometrics to your collection on WonderClub |
