Cameron, Colin.A <br/><br/>
Micro Econometrics Methods and Applications 

 - United Kingdom:  Cambridge University Press,  2020. 
 - xxii,1034p. 
<br/><br/>	1. Overview --<br/>2. Causal and noncasual models --<br/>3. Microeconomic data structures --<br/>4. Linear models --<br/>5. Maximum likelihood and nonlinear least-squares estimation --<br/>6. Generalized method of moments and systems estimation --<br/>7. Hypothesis tests --<br/>8. Specification tests and model selection --<br/>9. Semiparametric methods --<br/>10. Numerical optimization --<br/>11. Bootstrap methods --<br/>12. Simulation-based methods --<br/>13. Bayesian methods --<br/>14. Binary outcome models --<br/>15. Multinomial models --<br/>16. Tobit and selection models --<br/>17. Transition data : survival analysis --<br/>18. Mixture models and unobserved heterogeneity --<br/>19. Models of multiple hazards --<br/>20. Models of count data --<br/>21. Linear panel models : basics --<br/>22. Linear panel models : extensions --<br/>23. Nonlinear panel models --<br/>24. Stratified and clustered samples --<br/>25. Treatment evaluation --<br/>26. Measurement error models --<br/>27. Missing data and imputation -- 
<br/><br/><label>ISBN: </label>9780521848053 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Econometrics.<br/>Microeconomics -- Econometric models.
<br/><br/><label>Dewey Class. No.: </label>338.5015195  / CAM/M