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Introduction to econometrics / Christopher Dougherty.

By: Material type: TextTextPublication details: Oxford ; New York : Oxford University Press, 2007.Edition: 3rd edDescription: xiii, 464 p. : ill. ; 25 cmISBN:
  • 9780199280964
  • 0199280967
Subject(s): DDC classification:
  • 330.01/5195 22
LOC classification:
  • HB 172 .D68 2007
Online resources:
Contents:
Review : random variables, sampling, and estimation -- Simple regression analysis -- Properties of the regression coefficients and hypothesis testing -- Multiple regression analysis -- Transformations of variables -- Dummy variables --- Specification of regression variables : a preliminary skirmish -- Heteroscedasticity -- Stochastic regressors and measurement errors -- Simultaneous equations estimation -- Binary choice and limited dependent variable models, and maximum likelihood estimation -- Models using time series data -- Properties of regression models with time series data -- Introduction to nonstationary time series -- Introduction to panel data models.
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Holdings
Item type Current library Call number Status Barcode
Books The MUA Library South C campus - Open Collection HB 172 .D68 2007 (Browse shelf(Opens below)) Available 2008-1320
Browsing The MUA Library South C campus shelves, Shelving location: - Open Collection Close shelf browser (Hides shelf browser)
HB 172 .B39 2008 Macroeconomics with contributions from mohsen bahmani-oskooee / HB 172 .D65 2007 Microeconomics / HB 172 .D65 2007 Microeconomics / HB 172 .D68 2007 Introduction to econometrics / HB 172 .T39 2009 Principles of microeconomics : HB 172.5 .A23 2008 Macroeconomics / HB 172.5 .G35 2006 Macroeconomics /

Includes bibliographical references (p. [451]-453) and indexes.

Review : random variables, sampling, and estimation -- Simple regression analysis -- Properties of the regression coefficients and hypothesis testing -- Multiple regression analysis -- Transformations of variables -- Dummy variables --- Specification of regression variables : a preliminary skirmish -- Heteroscedasticity -- Stochastic regressors and measurement errors -- Simultaneous equations estimation -- Binary choice and limited dependent variable models, and maximum likelihood estimation -- Models using time series data -- Properties of regression models with time series data -- Introduction to nonstationary time series -- Introduction to panel data models.

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