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Recent Projects

  • Letter to David Paterson re: regulatory review

    More than ever before, state governments now undertake an ambitious range of regulatory programs and often become leaders on environmental, health, and safety policies. As states expand their regulatory reach, it becomes increasingly important to ensure that statewide regulatory decisions are efficient, consistent, fair, and justified.

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  • Cause or Cure? Cover

    Cause or Cure?

    Cost-Benefit Analysis and Regulatory Gridlock

    In Cause or Cure?: Cost-Benefit Analysis and Regulatory Gridlock, Michael A. Livermore argues that cost-benefit analysis can be used to overcome regulatory paralysis. An earlier version of this working paper was presented at the Breaking the Logjam Conference at NYU Law in the spring of 2008.

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  • Letter to the OMB re: midnight regulations

    Agencies are infamous for pushing through regulations on the eve of an Administration’s exit. In May 2008, the Bush Administration issued a bulletin mandating that no regulations were to be proposed after June 1, 2008, except in extraordinary circumstances.

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  • Comments on New York’s GORR cost-benefit analysis guidelines

    For the first time in a dozen years, the New York State Governor’s Office of Regulatory Reform (GORR) has begun to update its guidelines for how state agencies should conduct cost-benefit analysis. This update seeks to transform what had been an infrequently and inconsistently used technique in New York into a more standard and powerful decisionmaking tool.

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  • Retaking Rationality Cover

    Retaking Rationality

    How Cost-Benefit Analysis Can Better Protect the Environment and Our Health

    In Retaking Rationality: How Cost-Benefit Analysis Can Better Protect the Environment and Our Health (Oxford University Press, 2008), Dean Richard L. Revesz and Michael A. Livermore argue for a more rational approach to cost-benefit analysis and regulation. They show how traditional cost-benefit analysis tends to overestimate costs and underestimate benefits, leading to less-than-optimal levels of regulation.

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