Edition: 6th 2008
List price: $193.33
30 day, 100% satisfaction guarantee
If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.
Learn more about our returns policy
Description: Econometric Analysisi, 6/eserves as a bridge between an introduction to the field of econometrics and the professional literature fornbsp;nbsp;social scientists and other professionals in the fieldnbsp;of social sciences, focusing on applied econometrics and theoretical background. This book provides a broad survey of the field of econometrics that allows the reader to move from here to practice in one or more specialized areas. At the same time, the reader will gain an appreciation of the common foundation of all the fields presented and use the tools they employ.This book gives space to a wide range of topics including basic econometrics, Classical, Bayesian, GMM, and Maximum likelihood, and gives special emphasis to new topics such a time series and panels.For social scientists and other professionals in the field who want a thorough introduction to applied econometrics that will prepare them for advanced study and practice in the field.
Rush Rewards U
You have reached 400 XP and carrot coins. That is the daily max!
Limited time offer:
Get the first one free!
All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $193.33
Copyright year: 2008
Publisher: Prentice Hall PTR
Publication date: 8/7/2007
Size: 8.00" wide x 9.50" long x 1.75" tall
|The Classical Multiple Linear Regression Model|
|Statistical Properties of the Least Squares Estimator|
|Inference and Prediction|
|Functional Form and Structural Change|
|Specification Analysis and Model Selection|
|Generalized Regression Model and Heteroscedasticity|
|Models for Panel Data|
|Systems of Regression Equations|
|Nonlinear Regression Models|
|Instrumental Variables Estimation|
|Estimation Frameworks in Econometrics|
|Minimum Distance Estimation and the Generalized Method of Moments|
|Maximum Likelihood Estimation|
|Simulation Based Estimation and Inference|
|Bayesian Estimation and Inference|
|Models With Lagged Variables|
|Models for Discrete Choice|
|Truncation, Censoring and Sample Selection|
|Models for Event Counts and Duration|
|Probability and Distribution Theory|
|Estimation and Inference|
|Large Sample Distribution Theory|
|Computation and Optimization|
|Data Sets Used in Applications|