Fundamentals of Applied Econometrics

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ISBN: 9780470591826 | 047059182X
Cover: Hardcover
Copyright: 1/11/2012

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Fundamentals of Applied Econometrics is designed for an applied, undergraduate econometrics course providing students with an understanding of the most fundamental econometric ideas and tools. The texts serves both the student whose interest is in understanding how one can use sample data to illuminate economic theory and the student who wants and needs a solid intellectual foundation on which to build practical experiential expertise. Starting with a unique Statistics review to start the book, students will learn by doing. Ashley provides students with integrated, hands-on exercises, and the text is supplemented with Active Learning Exercises.

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What's Different about This Book	p. xiii
Working with Data in the "Active Learning Exercises"	p. xxii
Acknowledgments	p. xxiii
Notation	p. xxiv
Introduction and Statistics Review	p. 1
Introduction	p. 3
A Review of Probability Theory	p. 11
Estimating the Mean of a Normally Distributed Random Variable	p. 46
Statistical Inference on the Mean of a Normally Distributed Random Variable	p. 68
Regression Analysis	p. 97
The Bivariate Regression Model: Introduction, Assumptions, and Parameter Estimates	p. 99
The Bivariate Linear Regression Model: Sampling Distributions and Estimator Properties	p. 131
The Bivariate Linear Regression Model: Inference on ß	p. 150
The Bivariate Regression Model: R² and Prediction	p. 178
The Multiple Regression Model	p. 191
Diagnostically Checking and Respecifying the Multiple Regression Model: Dealing with Potential Outliers and Heteroscedasticity in the Cross-Sectional Data Case	p. 224
Stochastic Regressors and Endogeneity	p. 259
Instrumental Variables Estimation	p. 303
Diagnostically Checking and Respecifying the Multiple Regression Model: The Time-Series Data Case (Part A)	p. 342
Diagnostically Checking and Respecifying the Multiple Regression Model: The Time-Series Data Case (Part B)	p. 389
Additional Topics in Regression Analysis	p. 455
Regression Modeling with Panel Data (Part A)	p. 459
Regression Modeling with Panel Data (Part B)	p. 507
A Concise Introduction to Time-Series Analysis and Forecasting (Part A)	p. 536
A Concise Introduction to Time-Series Analysis and Forecasting (Part B)	p. 595
Parameter Estimation Beyond Curve-Fitting: MLE (With an Application to Binary-Choice Models) and GMM (With an Application to IV Regression)	p. 647
Concluding Comments	p. 681
Mathematics Review	p. 693
Index	p. 699
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Fundamentals of Applied Econometrics

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Author Biography

Table of Contents

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Fundamentals of Applied Econometrics

Summary

Author Biography

Table of Contents

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