{"product_id":"fundamentals-of-applied-econometrics-isbn-9780470591826","title":"Fundamentals of Applied Econometrics","description":"\u003cb\u003eFundamentals of Applied Econometrics\u003c\/b\u003e 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.  What’s Different about Thi' Book xiii  \u003cp\u003eWorking with Data in the \"Active Learning Exercises\" xxii\u003c\/p\u003e \u003cp\u003eAcknowledgments xxiii\u003c\/p\u003e \u003cp\u003eNotation xxiv\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I. Introduction and Statistics Review 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1. Introduction 3\u003c\/p\u003e \u003cp\u003eChapter 2. A Review of Probability Theory 11\u003c\/p\u003e \u003cp\u003eChapter 3. Estimating the Mean of a Normally Distributed Random Variable 46\u003c\/p\u003e \u003cp\u003eChapter 4. Statistical Inference on the Mean of a Normally Distributed Random Variable 68\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II. Regression Analysis 97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 5. The Bivariate Regression Model: Introduction, Assumptions, and Parameter Estimates 99\u003c\/p\u003e \u003cp\u003eChapter 6. The Bivariate Linear Regression Model: Sampling Distributions and Estimator Properties 131\u003c\/p\u003e \u003cp\u003eChapter 7. The Bivariate Linear Regression Model: Inference on β 150\u003c\/p\u003e \u003cp\u003eChapter 8. The Bivariate Regression Model: R\u003csup\u003e2\u003c\/sup\u003e and Prediction 178\u003c\/p\u003e \u003cp\u003eChapter 9. The Multiple Regression Model 191\u003c\/p\u003e \u003cp\u003eChapter 10. Diagnostically Checking and Respecifying the Multiple Regression Model: Dealing with Potential Outliers and Heteroscedasticity in the Cross-Sectional Data Case 224\u003c\/p\u003e \u003cp\u003eChapter 11. Stochastic Regressors and Endogeneity 259\u003c\/p\u003e \u003cp\u003eChapter 12. Instrumental Variables Estimation 303\u003c\/p\u003e \u003cp\u003eChapter 13. Diagnostically Checking and Respecifying the Multiple Regression Model: The Time-Series Data Case (Part A) 342\u003c\/p\u003e \u003cp\u003eChapter 14. Diagnostically Checking and Respecifying the Multiple Regression Model: The Time-Series Data Case (Part B) 389\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III. Additional Topics in Regression Analysis 455\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 15. Regression Modeling with Panel Data (Part A) 459\u003c\/p\u003e \u003cp\u003eChapter 16. Regression Modeling with Panel Data (Part B) 507\u003c\/p\u003e \u003cp\u003eChapter 17. A Concise Introduction to Time-Series Analysis and Forecasting (Part A) 536\u003c\/p\u003e \u003cp\u003eChapter 18. A Concise Introduction to Time-Series Analysis and Forecasting (Part B) 595\u003c\/p\u003e \u003cp\u003eChapter 19. Parameter Estimation Beyond Curve-Fitting: MLE (With an Application to Binary-Choice Models) and GMM (With an Application to IV Regression) 647\u003c\/p\u003e \u003cp\u003eChapter 20. Concluding Comments 681\u003c\/p\u003e \u003cp\u003eMathematics Review 693\u003c\/p\u003e \u003cp\u003eIndex 699 \u003c\/p\u003e \u003cp\u003e\u003cb\u003eRichard Ashley\u003c\/b\u003e is a professory of Economics at Virginia Tech. He earned his Ph.D in 1976 at the University of California, San Diego. Prior to VT, he taught economics at the University of Texas, Austin. His specialties and areas of interest include Econometrics and Macroeconomic Forecasting. He has received several teaching and research grants and has been published in \u003ci\u003eMacroeconomic Dynamics\u003c\/i\u003e, \u003ci\u003eJournal of Applied Econometrics\u003c\/i\u003e, \u003ci\u003eEconometric Reviews\u003c\/i\u003e, \u003ci\u003eInternational Review of Economics and Finance\u003c\/i\u003e, among others.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989256356069,"sku":"NP9780470591826","price":215.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470591826.jpg?v=1761783402","url":"https:\/\/k12savings.com\/es\/products\/fundamentals-of-applied-econometrics-isbn-9780470591826","provider":"K12savings","version":"1.0","type":"link"}