The SAGE Handbook of Regression Analysis and Causal Inference, 1st Edition

  • Henning Best
  • Published By: Sage UK
  • ISBN-10: 1473908353
  • ISBN-13: 9781473908352
  • DDC: 519.5
  • Grade Level Range: College Freshman - College Senior
  • 432 Pages | eBook
  • Original Copyright 2014 | Published/Released September 2016
  • This publication's content originally published in print form: 2014

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Covering both general and advanced aspects of multivariate methods, this Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis and provides readers with an introduction to and explorati

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Estimation and Inference.
1: Estimation Techniques: Ordinary Least Squares and Maximum Likelihood.
2: Bayesian Estimation of Regression Models.
Regression Analysis for Cross-Sections.
3: Linear Regression.
4: Regression Analysis: Assumptions and Diagnostics.
5: Non-linear and Non-Additive Effects in Linear Regression.
6: The Multilevel Regression Model.
7: Logistic Regression.
8: Regression Models for Nominal and Ordinal Outcomes.
9: Graphical Display of Regression Results.
10: Regression with Complex Samples.
Causal Inference and Analysis of Longitudinal Data.
11: Matching Estimators for Treatment Effects.
12: Instrumental Variables Regression.
13: Regression Discontinuity Designs in Social Sciences.
14: Fixed-Effects Panel Regression.
15: Event History Analysis.
16: Time-Series Cross-Section.
Name Index.
Subject Index.