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Institution:
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Massachusetts Institute of Technology
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Subject:
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Description:
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Provides a survey of advanced empirical tools for political science and public policy research. Focuses on applied causal inference, i.e. statistical methods designed to address research questions that concern the impact of an institution, intervention, policy, or event on an outcome, result, or performance. Covers a variety of causal inference designs, including experiments, matching, regression, panel methods, difference-in-differences, synthetic control methods, instrumental variables, regression discontinuity designs, and bounds.
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Credits:
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4.00
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Credit Hours:
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Prerequisites:
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Prereq: 17.800 or 17.871
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(617) 253-1000
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Regional Accreditation:
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New England Association of Schools and Colleges
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Calendar System:
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Four-one-four plan
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