An introduction to econometrics : a self-contained approach /
By: Westhoff, FrankMaterial type: BookPublisher: Cambridge, Massachusetts : The MIT Press, c2013.Description: xvii, 874 p. : ill. ; 24 cm.ISBN: 9780262019224Other title: An introduction to econometrics : a self contained approach.Subject(s): EconometricsDDC classification: 330.015195 WE IN Online resources: Location Map
|Item type||Home library||Call number||Status||Notes||Date due||Barcode||Item holds|
|REGULAR||University of Wollongong in Dubai Main Collection||330.015195 WE IN (Browse shelf)||Available||Dec2018||T0061533|
, Shelving location: Main Collection Close shelf browser
|330.015195 VE GU A guide to modern econometrics /||330.015195 VO EC Econometrics :||330.015195 VO EC Econometrics :||330.015195 WE IN An introduction to econometrics :||330.015195 WO EC Econometric analysis of cross section and panel data||330.015195 WO EC Econometric analysis of cross section and panel data||330.015195 WO IN Introductory econometrics :|
An introductory textbook (requiring no previous knowledge of probability and statistics) that offers students a solid foundation in regression analysis. This unique introduction to econometrics provides undergraduate students with a command of regression analysis in one semester, enabling them to grasp the empirical literature and undertake serious quantitative projects of their own. It does not assume any previous exposure to probability and statistics but does discuss the concepts in these areas that are essential for econometrics. The bulk of the textbook is devoted to regression analysis, from simple to advanced topics. Students will gain an intuitive understanding of the mathematical concepts; Java applet simulations on the book's website demonstrate how the algebraic equations are derived in the text and are designed to reinforce the important concepts. After presenting the essentials of probability and statistics, the book covers simple regression analysis, multiple regression analysis, and advanced topics including heteroskedasticity, autocorrelation, large sample properties, instrumental variables, measurement error, omitted variables, panel data, simultaneous equations, and binary/truncated dependent variables. Two optional chapters treat additional probability and statistics topics. Each chapter offers examples, prep problems (bringing students "up to speed" at the beginning of a chapter), review questions, and exercises. An accompanying website offers students easy access to Java simulations and data sets (available in EViews, Stata, and Excel files). After a single semester spent mastering the material presented in this book, students will be prepared to take any of the many elective courses that use econometric techniques. * Requires no background in probability and statistics * Regression analysis focus * "Econometrics lab" with Java applet simulations on accompanying Website.