Includes bibliographical references (pages 1054-1097) and index.

Note continued: 10.4.5. System Methods of Estimation -- 10.5. Summary and Conclusions -- ch. 11 Models for Panel Data -- 11.1. Introduction -- 11.2. Panel Data Modeling -- 11.2.1. General Modeling Framework for Analyzing Panel Data -- 11.2.2. Model Structures -- 11.2.3. Extensions -- 11.2.4. Balanced and Unbalanced Panels -- 11.2.5. Attrition and Unbalanced Panels -- 11.2.6. Well-Behaved Panel Data -- 11.3. The Pooled Regression Model -- 11.3.1. Least Squares Estimation of the Pooled Model -- 11.3.2. Robust Covariance Matrix Estimation and Bootstrapping -- 11.3.3. Clustering and Stratification -- 11.3.4. Random Number Generation -- 15.2.1. Generating Pseudo-Random Numbers -- 15.2.2. Sampling from a Standard Uniform Population -- 15.2.3. Sampling from Continuous Distributions -- 15.2.4. Sampling from a Multivariate Normal Population -- 15.2.5. Sampling from Discrete Populations -- 15.3. Simulation-Based Statistical Inference: The Method of Krinsky and Robb -- 15.4. Bootstrapping Standard Errors and Confidence Intervals -- 15.4.1. Types of Bootstraps -- 15.4.2.

Note continued: 16.7. Panel Data Application: Individual Effects Models -- 16.8. 18.3.4. Panel Data Applications -- 18.3.4.a. Ordered Probit Models with Fixed Effects --

Designed to bridge the gap between social science studies and field-econometrics, Econometric Analysis, 8th Edition presents this ever-growing area at an accessible level. The book first introduces readers to basic techniques, a rich variety of models, and underlying theory that is easy to put into practice. It then presents readers with a sufficient theoretical background to understand advanced techniques and to recognize new variants of established models. This focus, along with hundreds of worked numerical examples, ensures that readers can apply the theory to real-world application and are prepared to be successful economists in the field. -- Provided by publisher.