Tools for exploring cost-benefit analysis, decision trees, sensitivity analysis, and welfare economics — drawn from Carnegie Mellon, UW Madison, and MIT curricula.
Practice cost-benefit analysis on mini policy scenarios: name costs and benefits, pick a social discount rate, apply willingness to pay valuation for non-market benefits like time savings and lives, and handle uncertainty with simple sensitivity analysis.
Coordinate a graduate policy workshop team: divide CBA, risk analysis, multi-criteria evaluation, and optimization modeling across teammates; debate assumptions in threaded comments; and produce a version-controlled policy memo with full traceability for the client agency.
Manage a rolling portfolio of regulatory cost-benefit analyses: define impact categories, apply agency-standard willingness to pay valuations and social discount rates, run decision analysis under uncertainty, and produce analytic appendices in the standardized format the agency requires.
Structure a major regulatory impact analysis: define alternatives, document the causal pathway from each provision to economic effect, handle tail risks with Monte Carlo framing, run multi-criteria evaluation for non-monetized goals, and produce the full RIA section by section.
Review agency regulatory impact analyses for OMB-standard rigor: evaluate alternative definitions, causal logic documentation, willingness to pay valuation choices, sensitivity analysis ranges, and distributional analysis — and surface patterns across the regulatory portfolio.
