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.
Chapter 31: Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal-Response Estimation
One can identify four modes, or purposes, of empirical analyses of positive1 political science and international relations: measurement and description, testing (of causal theory or ‘effects’), prediction or forecasting, and estimation (of causal models and causal responses or effects).2 These alternative aims or ends one might have in empirical analyses will place emphasis on different methodological challenges and properties over others and so demand different methodological approaches and tools. Econometric modeling3 is an approach and set of tools that can be useful toward all four ends, but it plays an especially crucial role in the last: causal-response estimation. ...