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Introduction to Modern Econometrics Using Stata

ISBN-10: 1597180130
ISBN-13: 9781597180139
Edition: 2006
List price: $92.95 Buy it from $85.77
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Description: Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification  More...

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Book details

List price: $92.95
Copyright year: 2006
Publisher: StataCorp LP
Publication date: 8/17/2006
Binding: Paperback
Pages: 341
Size: 7.25" wide x 9.50" long x 0.75" tall
Weight: 1.408
Language: English

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata. As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming. Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.

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Introduction
Working with economic and financial data in Stata
Organizing and handling economic data
Linear regression
Specifying the functional form
Regression with non-i.i.d. errors
Regression with indicator variables
Instrumental-variables estimators
Panel-data models
Models of discrete and limited dependent variables
Getting the data into Stata
The basics of Stata programming

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