Introductory Econometrics: A Modern Approach
Introduce your students to how empirical researchers actually think about and apply econometric methods with the practical, professional approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 5E. Unlike traditional texts, this book's unique presentation demonstrates how econometrics can be used to empirically study and answer questions across a variety of disciplines. A reflection of how econometric instruction has evolved, INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed with a systematic approach, where assumptions are introduced only as they are needed to obtain a certain result. This approach simplifies the exposition and makes the text's material easier for students to comprehend. Packed with timely, relevant applications the text emphasizes examples that have implications for policy or provide evidence for or against economic theories. More than 100 intriguing data sets are now available in six formats for your teaching flexibility. A wealth of new and revised instructor resources, written by the author, is provided at no cost to the instructor. The Instructor's Manual with Solutions contains answers to all problems and exercises, teaching tips on how to present the material in each chapter and also sources for each of the data files, with many suggestions on how to use them on problem sets, exams, and term papers. For the first time ever, a new Test Bank has been created to aid instructors as they teach the course. PowerPoint slides and Scientific Word slides are also new to this edition. The updated Data Set Handbook is also available to help instructors present the latest emerging developments in the field. Give your students a full understanding of how econometrics is genuinely useful for answering questions in business, policy evaluation, and forecasting environments with INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 5E.
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
2012 Cengage Learning 2SLS assume asymptotic average ceteris paribus Chapter coefficient confidence interval copied Copyright 2012 Cengage critical value cross-sectional data set denote dependent differencing Due to electronic dummy variable duplicated eB ook and/or econometric Editorial review electronic rights endogenous equation error term example exogenous expected value exper explanatory variables F statistic factors fitted values fixed effects forecast function Gauss-Markov assumptions heteroskedasticity heteroskedasticity-robust homoskedasticity independent variables instrumental variables intercept linear model log(wage matrix mean measure multiple regression normal distribution null hypothesis observations obtain OLS estimators ook and/or eChapter(s p-value panel data pany parameters partial effect percentage population predicted probability R-squared random sample random variable regression analysis regression model Rights Reserved scanned Section serial correlation simple regression slope standard errors statistically significant sum of squared suppressed third party content tion Tobit model trend unbiased estimator uncorrelated unit root variance wage whole zero