Econometrics: A Simple Introduction. Simple Introductions, #7
Par :Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- FormatePub
- ISBN978-1-310-60728-8
- EAN9781310607288
- Date de parution02/03/2014
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurJPCA
Résumé
Econometrics: A Simple Introduction offers an accessible guide to the principles and methods of econometrics, with data samples, regressions, equations and diagrams to illustrate the analysis. Examine a linear and multiple regression model, ordinary least squares method, and the Gauss-Markov conditions for a best linear unbiased estimator. Understand hypothesis testing, with a null hypothesis, t, F or chi-square test statistics and distributions, and interpret regression results.
Dummy variables model qualitative data and Chow tests assess regression equivalence. Explore heteroscedasticity with the White method and with generalized least squares, Goldfeld-Quandt, Breusch-Pagan, and White tests. Assess autocorrelation with Durbin-Watson, Durbin h, and Breusch-Godfrey tests, lagged variables and auxiliary regressions. Assess the impact of omitted variables, incorrect variables or functional form, and a non-normal distribution with Ramsey RESET and Jarque-Bera tests.
Model random variables with the Method of Moments' estimators, instrumental variables and Hausman test.
Dummy variables model qualitative data and Chow tests assess regression equivalence. Explore heteroscedasticity with the White method and with generalized least squares, Goldfeld-Quandt, Breusch-Pagan, and White tests. Assess autocorrelation with Durbin-Watson, Durbin h, and Breusch-Godfrey tests, lagged variables and auxiliary regressions. Assess the impact of omitted variables, incorrect variables or functional form, and a non-normal distribution with Ramsey RESET and Jarque-Bera tests.
Model random variables with the Method of Moments' estimators, instrumental variables and Hausman test.
Econometrics: A Simple Introduction offers an accessible guide to the principles and methods of econometrics, with data samples, regressions, equations and diagrams to illustrate the analysis. Examine a linear and multiple regression model, ordinary least squares method, and the Gauss-Markov conditions for a best linear unbiased estimator. Understand hypothesis testing, with a null hypothesis, t, F or chi-square test statistics and distributions, and interpret regression results.
Dummy variables model qualitative data and Chow tests assess regression equivalence. Explore heteroscedasticity with the White method and with generalized least squares, Goldfeld-Quandt, Breusch-Pagan, and White tests. Assess autocorrelation with Durbin-Watson, Durbin h, and Breusch-Godfrey tests, lagged variables and auxiliary regressions. Assess the impact of omitted variables, incorrect variables or functional form, and a non-normal distribution with Ramsey RESET and Jarque-Bera tests.
Model random variables with the Method of Moments' estimators, instrumental variables and Hausman test.
Dummy variables model qualitative data and Chow tests assess regression equivalence. Explore heteroscedasticity with the White method and with generalized least squares, Goldfeld-Quandt, Breusch-Pagan, and White tests. Assess autocorrelation with Durbin-Watson, Durbin h, and Breusch-Godfrey tests, lagged variables and auxiliary regressions. Assess the impact of omitted variables, incorrect variables or functional form, and a non-normal distribution with Ramsey RESET and Jarque-Bera tests.
Model random variables with the Method of Moments' estimators, instrumental variables and Hausman test.
