Introduction to Econometrics/ by Christopher Dougherty

By:

Dougherty,Christopher

Material type: Text

TextPublication details: U K: Oxford University Press, 2021.Edition: 5th edDescription: xvii,590pISBN:

9780192858788

Subject(s):

Econometrics

DDC classification:

330.015195 DOU/I

Contents:

Review:Random Variables,Sampling,Estimation ,and Inference-- 1.Sample Regression Analysis-- 2.Properties of the Regression Coefficients and Hypothesis Testing-- 3.Multiple Regression Analysis-- 4.Nonlinear Models and Transformations of Variable-- 5.Dummy Variables-- 6.Specification of Regression Variables-- 7.Heteroskedasticity-- 8.Stochastic Regressors and Measurement Errors-- 9.Simultaneous Equations Estimation-- 10.Binary Choice and Limited Dependent Variable 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Book	Study Centre Alappuzha, University of Kerala Processing Center	Study Centre Alappuzha, University of Kerala	330.015195 DOU/I (Browse shelf(Opens below))		Available		USCA6055
Book	Study Centre Alappuzha, University of Kerala	Study Centre Alappuzha, University of Kerala	330.015195 DOU/I;1 (Browse shelf(Opens below))	1	Available		USCA6197

Browsing Study Centre Alappuzha, University of Kerala shelves Close shelf browser (Hides shelf browser)

Previous			No cover image available No cover image available					Next
Previous	330.0151 SIM/M Mathematics for economists/	330.015195 DOU/I Introduction to Econometrics/	330.015195 DOU/I Introduction to Econometrics/	330.015195 DOU/I;1 Introduction to Econometrics/	330.015195 GUJ/B Basic econometrics/	330.015195 GUJ/B Basic Econometrics/	330.015195 GUJ/E Econometrics By Example/	Next

Review:Random Variables,Sampling,Estimation ,and Inference--
1.Sample Regression Analysis--
2.Properties of the Regression Coefficients and Hypothesis Testing--
3.Multiple Regression Analysis--
4.Nonlinear Models and Transformations of Variable--
5.Dummy Variables--
6.Specification of Regression Variables--
7.Heteroskedasticity--
8.Stochastic Regressors and Measurement Errors--
9.Simultaneous Equations Estimation--
10.Binary Choice and Limited Dependent Variable 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.

There are no comments on this title.

to post a comment.