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