The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science - from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, and data collection, and quantitative and qualitative empirical analysis - exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions and Designing Good Research Projects; Part Two: Methods of Theoretical Argumentation; Part Three: Conceptualization and Measurement; Part Four: Large-Scale Data Collection and Representation Methods; Part Five: Quantitative-Empirical Methods; Part Six: Qualitative and Mixed Methods.

Dynamic Systems of Equations

Dynamic Systems of Equations

Dynamic systems of equations
Mark Pickup

This chapter explores dynamic systems of equations in three parts. First, the topic is motivated by a discussion of why a researcher might use a dynamic model and might go beyond a single-equation model to a system of equations. This discussion is structured in terms of the violations of exogeneity that such models are designed to resolve. Second, the chapter describes common multiple-equation dynamic models: structural vector autoregression (SVAR), reduced form vector autoregression (VAR) and vector error-correction (VEC). Third, the chapter describes the state-space approach to dynamic modelling, showing that it encompasses these models and additional models, such as dynamic-factor and dynamic seemingly unrelated regression (SUR) equations.


Giving the parameter estimates of any ...

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