TY  - BOOK
AU  - Winkelmann,Rainer
AU  - Bosi,Stefano
TI  - Analysis of microdata / 
SN  - 9783540927471
U1  - 330.015195  21
PY  - 2009///
CY  - Berlin : 
PB  - Springer Verlag, 
N1  - Incluye referencias bibliográficas páginas 301-309) e índice; 1. Introduction: 1.1. What are microdata? ; 1.2. Types of microdata ; 1.3. Why not linear regression? ; 1.4. Common elements of microdata models ; 1.5. Examples ; 1.6. Overview of the book -- 2. From regression to probability models: 2.1. Introduction ; 2.2. Conditional probability functions ; 2.3. Probability and probability distributions ; 2.4. Further exercises -- 3. Maximum likelihood estimation: 3.1. Introduction ; 3.2. Likelihood functions ; 3.3. Properties of the maximum likelihood estimator : 3.4. Normal linear model ; 3.5. Further aspects of maximum likelihood estimation ; 3.6. Testing ; 3.7. Pros and cons of maximum likelihood ; 3.8. Further exercises -- 4. Binary response models: 4.1. Introduction ; 4.2. Models for binary response variables ; 4.3. Discrete choice models ; 4.4. Estimation ; 4.5. Goodness-of-fit ; 4.6. Non-standard sampling schemes ; 4.7. Flexible specification of binary response models ; 4.8. Further exercises – 5. Multinomial response models: 5.1. Introduction ; 5.2. Multinomial logit model ; 5.3. Conditional logit model ; 5.4. Generalized multinomial response models ; 5.5. Further exercises -- 6. Ordered response models: 6.1. Introduction ; 6.2. Standard ordered response models ; 6.3. Generalized threshold models ; 6.4. Sequential models ; 6.5. Interval data ; 6.6. Further exercises -- 7. Limited dependent variables: 7.1. Introduction ; 7.2. Tobin’s corner solution model ; 7.3. Sample selection models ; 74. Treatment effect models ; 7.5. Further exercises -- 8. Event history models: 8.1. Introduction ; 8.2. Duration models ; 8.3. Count data models ; 8.4. Further exercises
ER  -