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雷达卡
author: A.COLIN CAMERON PRAVINK. TRIVEDI
CONTENTS
PART ONE Preliminaries
CHAPTER 1 Overview
1.1 Introduction
1.2 Distinctive Aspects of Microeconometrics
1.3 Book Outline
CHAPTER 2 Causal and Noncausal Models
2.1 Introduction
2.2 Structural Models
2.3 Exogeneity
2.4 Linear Simultaneous Equations Model
2.5 Identification Concepts
2.6 Single Equation Models
2.7 Potential Outcomes Model
2.8 Causal Modeling and Estimation Strategies
2.9 Bibiliographic Notes
CHAPTER 3 Microeconomic Data Structures
3.1 Introduction
3.2 Observational Data
3.3 Data from Social Experiments
3.4 Data from Natural Experiments
3.5 Practical Considerations
3.6 Bibiliographic Notes
PART Two Core Methods
CHAPTER 4 Linear Models
4.1 Introduction
4.2 Regressions and Loss Functions
4.3 Examples: Returns to Schoolings
4.4 Ordinary Least Squares
4.5 Weighted Least Squares
4.6 Median and Quantile Regression
4.7 Model Misspecification
4.8 Instrumental Variables
4.9 Instrumental Variables in Pratice
4.10 Practical Considerations
4.11 Bibiliographic Notes
CHAPTER 5 ML and NLS Estimation
CHAPTER 6 GMM and System Estimation
CHAPTER 7 Hypothesis Tests
CHAPTER 8 Specification Tests and Model Selection
CHAPTER 9 Semiparametric Methods
CHAPTER 10 Numerical Optimization
CHAPTER 11 Bootstrap Methods
CHAPTER 12 Simulation-based Methods
CHAPTER 13 Bayesian methods
CHAPTER 14 Binary Outcome Models
CHAPTER 15 Multinomial Models
CHAPTER 16 Tobit and Selection Models
CHAPTER 17 Transition Data: Survival Analysis
CHAPTER 18 Mixture Models and Unobserved Heterogeneity
CHAPTER 19 Models of Multiple Hazards
CHAPTER 20 Models of Count Data
CHAPTER 21 Linear Panel Models: Basics
CHAPTER 22 Linear Panel Models: Extensions
CHAPTER 23 Nonlinear Panel Models
CHAPTER 24 Stratified and Clustered Samples
CHAPTER 25 Treatment Evaluation
CHAPTER 26 Measurement Error Models
CHAPTER 27 Missing Data and Imputation
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