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PMAP 8521 • (4) Measurement and DAGs: (3) Paths, doors, and adjustment
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Discussion of how to identify associations, close backdoors, and isolate pathways in a DAG
Andrew Heiss
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0:02:14
PMAP 8521 • (4) Measurement and DAGs: (0) Introduction
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PMAP 8521 • (4) Measurement and DAGs: (1) Abstraction, stretching, and validity
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PMAP 8521 • (4) Measurement and DAGs: (2) Causal models
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PMAP 8521 • (4) Measurement and DAGs: (3) Paths, doors, and adjustment
0:21:00
PMAP 8521 • Instrumental variables 4: Using instruments
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PMAP 8521 • Regression discontinuity 4: Main RDD concerns
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PMAP 8521 • (11) Instrumental variables I: (2) Instruments
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PMAP 8521 • Instrumental variables 1: Introduction
0:16:43
PMAP 8521 • Instrumental variables 2: Endogeneity & exogeneity
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PMAP 8521 • (11) Instrumental variables I: (1) Endogeneity and exogeneity
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PMAP 8521 • Regression discontinuity 3: Drawing lines & measuring gaps
0:42:50
PMAP 8521 • (7) Randomization and matching: (4) Adjustment with matching
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PMAP 8521 • (1) Evaluation and the causal revolution: (0) Introduction
0:30:42
PMAP 8521 • (10) Regression discontinuity I: (2) Drawing lines and measuring gaps
0:12:30
PMAP 8521 • Example: DAGs with Dagitty
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PMAP 8521 • (12) IV II + RDD II: (1) Treatment effects and compliance
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PMAP 8521 • (6) Threats to validity: (4) External validity
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PMAP 8521 • (8/9) Difference-in-differences I & II: (1) Quasi-experiments
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PMAP 8521 • Regression discontinuity 2: Arbitrary cutoffs & causal inference
0:13:01
PMAP 8521 • Example: Matching and IPW with R: 4: Matching
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PMAP 8521 • Example: Regression discontinuity with R: 6: Measuring the gap nonparametrically
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PMAP 8521 • Regression discontinuity 1: Introduction
0:10:19
PMAP 8521 • (12) IV II + RDD II: (2) Randomized promotion
0:27:41
PMAP 8521 • (11) Instrumental variables I: (3) Using instruments