{"product_id":"econometrics-for-dummies-isbn-9781118533840","title":"Econometrics For Dummies","description":"\u003cb\u003eScore your highest in econometrics? Easy.\u003c\/b\u003e \u003cp\u003eEconometrics can prove challenging for many students unfamiliar with the terms and concepts discussed in a typical econometrics course. \u003ci\u003eEconometrics For Dummies \u003c\/i\u003eeliminates that confusion with easy-to-understand explanations of important topics in the study of economics.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eEconometrics For Dummies \u003c\/i\u003ebreaks down this complex subject and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eAn excellent resource for anyone participating in a college or graduate level econometrics course\u003c\/li\u003e \u003cli\u003eProvides you with an easy-to-follow introduction to the techniques and applications of econometrics\u003c\/li\u003e \u003cli\u003eHelps you score high on exam day\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIf you're seeking a degree in economics and looking for a plain-English guide to this often-intimidating course, \u003ci\u003eEconometrics For Dummies\u003c\/i\u003e has you covered.\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Getting Started with Econometrics 5\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1: Econometrics: The Economist’s Approach to Statistical Analysis 7\u003c\/p\u003e \u003cp\u003eChapter 2: Getting the Hang of Probability 21\u003c\/p\u003e \u003cp\u003eChapter 3: Making Inferences and Testing Hypotheses 39\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Building the Classical Linear Regression Model 59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 4: Understanding the Objectives of Regression Analysis 61\u003c\/p\u003e \u003cp\u003eChapter 5: Going Beyond Ordinary with the Ordinary Least Squares Technique 75\u003c\/p\u003e \u003cp\u003eChapter 6: Assumptions of OLS Estimation and the Gauss-Markov Theorem 93\u003c\/p\u003e \u003cp\u003eChapter 7: The Normality Assumption and Inference with OLS 111\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Working with the Classical Regression Model 135\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 8: Functional Form, Specification, and Structural Stability 137\u003c\/p\u003e \u003cp\u003eChapter 9: Regression with Dummy Explanatory Variables 153\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: Violations of Classical Regression Model Assumptions 173\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 10: Multicollinearity 175\u003c\/p\u003e \u003cp\u003eChapter 11: Heteroskedasticity 191\u003c\/p\u003e \u003cp\u003eChapter 12: Autocorrelation 209\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V: Discrete and Restricted Dependent Variables in Econometrics 229\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 13: Qualitative Dependent Variables 231\u003c\/p\u003e \u003cp\u003eChapter 14: Limited Dependent Variable Models 253\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VI: Extending the Basic Econometric Model 265\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 15: Static and Dynamic Models 267\u003c\/p\u003e \u003cp\u003eChapter 16: Diving into Pooled Cross-Section Analysis 281\u003c\/p\u003e \u003cp\u003eChapter 17: Panel Econometrics 291\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VII: The Part of Tens 305\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 18: Ten Components of a Good Econometrics Research Project 307\u003c\/p\u003e \u003cp\u003eChapter 19: Ten Common Mistakes in Applied Econometrics 315\u003c\/p\u003e \u003cp\u003eAppendix: Statistical Tables 321\u003c\/p\u003e \u003cp\u003eIndex 327\u003c\/p\u003e \u003cp\u003e\u003cb\u003eRoberto Pedace\u003c\/b\u003e, PhD, is an associate professor in the Department of Economics at Scripps College. His published work has appeared in \u003ci\u003eEconomic Inquiry, Industrial Relations,\u003c\/i\u003e the \u003ci\u003eSouthern Economic Journal\u003c\/i\u003e, \u003ci\u003eContemporary Economic Policy\u003c\/i\u003e, the \u003ci\u003eJournal of Sports Economics\u003c\/i\u003e, and other outlets.\u003c\/p\u003e  \u003cp\u003eLearn to:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eGrasp the techniques and applications of econometrics\u003c\/li\u003e \u003cli\u003eMake sense of complex concepts and material\u003c\/li\u003e \u003cli\u003eUse specialized software to apply your acquired econometrics skills\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eUnderstand econometric theory and apply econometric techniques\u003c\/p\u003e \u003cp\u003eEconometrics can prove challenging for many students. Thankfully, \u003ci\u003eEconometrics For Dummies\u003c\/i\u003e eliminates that confusion with easy-to-understand explanations of important topics in the study of econometrics. This hands-on, friendly guide breaks down the complex subject of econometrics and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe nuts and bolts — get familiar with the various characteristics of the classical linear regression model (CLRM), which is the foundation of traditional econometric analysis\u003c\/li\u003e \u003cli\u003eForm and function — discover how econometric analysis is able to accommodate a considerable amount of flexibility with different mathematical functions and types of data\u003c\/li\u003e \u003cli\u003eDon't assume — find out how econometricians use some bizarre titles to identify problems that violate CLRM assumptions\u003c\/li\u003e \u003cli\u003eBe discrete — get to know how discrete and restricted dependent variables can create problems for traditional regression analysis and discover the techniques econometricians have developed to modify traditional regression analysis\u003c\/li\u003e \u003cli\u003eMake special note — delve deeper into a few specialized areas of econometrics, namely time-series analysis, pooled cross sections, and panel econometrics\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eOpen the book and find:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePlain-English explanations of complex material\u003c\/li\u003e \u003cli\u003eComputer outputs from STATA for many of the examples\u003c\/li\u003e \u003cli\u003eThe economist's approach to statistical analysis\u003c\/li\u003e \u003cli\u003eThe various characteristics of the classical linear regression model\u003c\/li\u003e \u003cli\u003eThe most common problems encountered when performing regression analysis\u003c\/li\u003e \u003cli\u003eLots of helpful figures\u003c\/li\u003e \u003cli\u003eCommon mistakes in applied econometrics\u003c\/li\u003e \u003c\/ul\u003e","brand":"For Dummies","offers":[{"title":"Default Title","offer_id":47989101035749,"sku":"NP9781118533840","price":29.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118533840.jpg?v=1761782799","url":"https:\/\/k12savings.com\/products\/econometrics-for-dummies-isbn-9781118533840","provider":"K12savings","version":"1.0","type":"link"}