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Undergraduate econometrics /

by Hill, R. Carter; Griffiths, William E; Judge, George G; Gutermuth, Karen; Reiman, Mark A.
Material type: materialTypeLabelBookPublisher: New York ; Chichester : Wiley, c2001Edition: 2nd ed.Description: xvi, 402 p. : ill. ; 26 cm. +.ISBN: 0471331848 (hbk. : alk. paper); 9780471331841; 0471412376 (Using Excel); 04714122392 (Using Eviews).Subject(s): EconometricsOnline resources: WorldCat details
Contents:
Table of contents An Introduction to Econometrics -- Some Basic Probability Concepts -- The Simple Linear Regression Model: Specification and Estimation -- Properties of the Least Squares Estimators -- Inference in the Simple Regression Model: Interval Estimation, Hypothesis Testing, and Prediction -- The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form -- The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form -- The Multiple Regression Model -- Further Inference in the Multiple Regression Model -- Dummy (Binary) Variables -- Nonlinear Models -- Heteroskedasticity -- Autocorrelation -- Random Regressors and Moment Based Estimation -- Simultaneous Equations Models -- Distributed Lag Models -- Regression with Time Series Data -- Pooling Time-Series and Cross-Sectional Data -- Qualitative and Limited Dependent Variable Models -- Writing an Empirical Research Report, and Sources of Economic Data.
List(s) this item appears in: Management
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Item type Location Collection Call number Copy number Status Date due
Text Text Reserve Section Non Fiction 330.015195 HIU 2001 (Browse shelf) C-1 Not For Loan
Text Text Reserve Section Non Fiction 330.015195 HIU 2001 (Browse shelf) C-2 Not For Loan

A multi-media instructional package, including Web sites, is available to supplement the text.

Accompanying material: Using Excel for undergraduate econometrics, 2nd ed / Karen Gutermuth and R. Carter Hill -- Using Eviews for undergraduate econometrics, 2nd ed / Mark A. Reiman and R. Carter Hill -- Eviews, student version 3.1.

Table of contents An Introduction to Econometrics --
Some Basic Probability Concepts --
The Simple Linear Regression Model: Specification and Estimation --
Properties of the Least Squares Estimators --
Inference in the Simple Regression Model: Interval Estimation, Hypothesis Testing, and Prediction --
The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form --
The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form --
The Multiple Regression Model --
Further Inference in the Multiple Regression Model --
Dummy (Binary) Variables --
Nonlinear Models --
Heteroskedasticity --
Autocorrelation --
Random Regressors and Moment Based Estimation --
Simultaneous Equations Models --
Distributed Lag Models --
Regression with Time Series Data --
Pooling Time-Series and Cross-Sectional Data --
Qualitative and Limited Dependent Variable Models --
Writing an Empirical Research Report, and Sources of Economic Data.

Economics

Sagar Shahanawaz

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