Policy Research and Evaluation

Quantitative Methods for Policy Research and Evaluation

The purpose of this course is to help student gain a deeper understanding and appreciation of quantitative methods, expand their knowledge of quantitative analysis, apply knowledge to policy-relevant questions, and critically evaluate the claims of those who use quantitative research to promote specific policies.

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Through handling empirical problems when working with real-world data, this course will cover a wide range of techniques useful to policy research and evaluation, including: tabular analysis, regression analysis in its various forms (multiple linear regression,
multilevel methods, etc.), regression diagnostics and robust regression, etc. Visit https://en.wikipedia.org/wiki/Policy_analysis for more information.

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Apart from learning different techniques, this course will also have a substantial component detailing the rationale of crucial “pillars” of statistical wisdom, as well as contemporary debates over “standards” and “good practice” of quantitative analysis. The pillars aforementioned include: aggregation, information, likelihood, inter comparison, regression, design, and residual.

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