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Introduction to econometrics / Christopher Dougherty.

By: Material type: TextTextPublisher: Oxford : Oxford University Press, [2011]Copyright date: ©2011Edition: Fourth editionDescription: xvii, 573 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0199567085
  • 9780199567089
Subject(s): DDC classification:
  • 330.015195 22
LOC classification:
  • HB139 .D67 2010
Contents:
Review: random variables, sampling, and estimation -- 1. Simple regression analysis -- 2. Properties of regression coefficients and hypothesis testing -- 3. Multiple regression analysis -- 4. Transformation of variables -- 5. Dummy variables -- 6. Specification regression variables: a preliinary skirmish -- 7. Heteroscedasticity -- 8. Stochastic regressors and measurement errors -- 9. Simultaneous equations estimation -- 10. Binary choice models and maximum likelihood Estimation -- 11. Models using time series data -- 12. Autocorrelation -- 13. Introduction to nonstationary time series -- 14. Introduction to panel data models.
Summary: "Introduction to Econometrics provides students with clear and simple mathematics notation and step-by step explanations of mathematical proofs to give them a thorough understanding of the subject. Extensive exercises throughout to encourage students to apply the techniques and gain confidence with, this new edition has been thoroughly revised in line with market feedback. "--Publisher's website.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 330.015195 DOU (Browse shelf(Opens below)) 1 Available A501771B

Third ed. : 2007.

Includes bibliographical references and index.

Review: random variables, sampling, and estimation -- 1. Simple regression analysis -- 2. Properties of regression coefficients and hypothesis testing -- 3. Multiple regression analysis -- 4. Transformation of variables -- 5. Dummy variables -- 6. Specification regression variables: a preliinary skirmish -- 7. Heteroscedasticity -- 8. Stochastic regressors and measurement errors -- 9. Simultaneous equations estimation -- 10. Binary choice models and maximum likelihood Estimation -- 11. Models using time series data -- 12. Autocorrelation -- 13. Introduction to nonstationary time series -- 14. Introduction to panel data models.

"Introduction to Econometrics provides students with clear and simple mathematics notation and step-by step explanations of mathematical proofs to give them a thorough understanding of the subject. Extensive exercises throughout to encourage students to apply the techniques and gain confidence with, this new edition has been thoroughly revised in line with market feedback. "--Publisher's website.

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