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 exploration of a large range of techniques.
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 exploration of a large range of techniques.
Introduction Christof Wolf and Henning Best PART I: ESTIMATION AND INFERENCE Estimation Techniques: Ordinary least squares and maximum likelihood Martin Elff Bayesian Estimation of Regression Models Susumu Shikano PART II: REGRESSION ANALYSIS FOR CROSS SECTIONS Linear Regression Christof Wolf and Henning Best Regression Analysis: Assumptions and Diagnostics Bart Meuleman, Geert Loosveldt and Viktor Emonds Non Linear and Non Additive Effects in Linear Regression Henning Lohmann The Multilevel Regression Model Joop Hox and Leoniek Wijngaards de Meij Logistic Regression Henning Best and Christof Wolf Regression Models for Nominal and Ordinal Outcomes J. Scott Long Graphical Display of Regression Results Gerrit Bauer Regression With Complex Samples Steven G. Heeringa, Brady T. West and Patricia A. Berglund PART III: CAUSAL INFERENCE AND ANALYSIS OF LONGITUDINAL DATA Matching Estimators for Treatment Effects Markus Gangl Instrumental Variables Regression Christopher Muller, Christopher Winship and Stephen L. Morgan Regression Discontinuity Designs in Social Sciences David S. Lee and Thomas Lemieux Fixed effects Panel Regression Josef Bruderl and Volker Ludwig Event History Analysis Hans Peter Blossfeld and Gwendoline J. Blossfeld Time Series Cross Section Jessica Fortin Rittberger
Introduction Christof Wolf and Henning Best PART I: ESTIMATION AND INFERENCE Estimation Techniques: Ordinary least squares and maximum likelihood Martin Elff Bayesian Estimation of Regression Models Susumu Shikano PART II: REGRESSION ANALYSIS FOR CROSS SECTIONS Linear Regression Christof Wolf and Henning Best Regression Analysis: Assumptions and Diagnostics Bart Meuleman, Geert Loosveldt and Viktor Emonds Non Linear and Non Additive Effects in Linear Regression Henning Lohmann The Multilevel Regression Model Joop Hox and Leoniek Wijngaards de Meij Logistic Regression Henning Best and Christof Wolf Regression Models for Nominal and Ordinal Outcomes J. Scott Long Graphical Display of Regression Results Gerrit Bauer Regression With Complex Samples Steven G. Heeringa, Brady T. West and Patricia A. Berglund PART III: CAUSAL INFERENCE AND ANALYSIS OF LONGITUDINAL DATA Matching Estimators for Treatment Effects Markus Gangl Instrumental Variables Regression Christopher Muller, Christopher Winship and Stephen L. Morgan Regression Discontinuity Designs in Social Sciences David S. Lee and Thomas Lemieux Fixed effects Panel Regression Josef Bruderl and Volker Ludwig Event History Analysis Hans Peter Blossfeld and Gwendoline J. Blossfeld Time Series Cross Section Jessica Fortin Rittberger
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