Aris SpanosCambridge University PressEdition: 2, 9/19/2019EAN 9781107185142, ISBN10: 1107185149Hardcover, 782 pages, 25 x 18.2 x 3.9 cmLanguage: EnglishDoubt over the trustworthiness of published empirical results is not unwarranted and is often a result of statistical mis-specification: invalid probabilistic assumptions imposed on data. Now in its second edition, this bestselling textbook offers a comprehensive course in empirical research methods, teaching the probabilistic and statistical foundations that enable the specification and validation of statistical models, providing the basis for an informed implementation of statistical procedure to secure the trustworthiness of evidence. Each chapter has been thoroughly updated, accounting for developments in the field and the author's own research. The comprehensive scope of the textbook has been expanded by the addition of a new chapter on the Linear Regression and related statistical models. This new edition is now more accessible to students of disciplines beyond economics and includes more pedagogical features, with an increased number of examples as well as review questions and exercises at the end of each chapter.1. An introduction to empirical modeling2. Probability theory as a modeling framework3. The concept of a probability model4. A simple statistical model5. Chance regularities and probabilistic concepts6. Statistical models and dependence7. Regression models8. Introduction to stochastic processes9. Limit theorems in probability10. From probability theory to statistical inference11. Estimation Iproperties of estimators12. Estimation IImethods of estimation13. Hypothesis testing14. Linear regression and related models15. Mis-specification (M-S) testing.
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