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5StrategiesforEvidence-BasedPolicymaking.pdf

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There's plenty of bipartisan support for the idea. Implementing it requires

some concrete steps.

February 23, 2017 • Quentin Palfrey

Despite the hyperpartisan climate of American politics today, the notion that

policy decisions should be informed by solid evidence continues to garner

bipartisan support at the local, state and national levels. Last year, for example,

Republican House Speaker Paul Ryan, Democratic Sen. Patty Murray and

President Obama came together to enact legislation creating a federal

Commission on Evidence-Based Policymaking. Governments across the country

are experimenting with new methods for developing and using data and

evidence in their decision-making.

Compare, for example, the evolution of modern medicine with the typical

approach taken in government. In the 20th century, randomized controlled trials

revolutionized medicine, replacing guesswork with a rigorous, scientific method

to determine what works and what does not. But in government and

philanthropy, all too often decisions about how to allocate scarce resources have

continued to be been informed by hunch and anecdote. Replacing hunches with

facts has dramatic consequences for the efficacy of government programs,

particularly those that deliver services to assist the poorest in our society.

But how do you go about building a system of evidence-based policymaking? In

an era of tight budgets and hard choices, here are five concrete steps that state

VOICES OF THE GOVERNING INSTITUTE

5 Strategies for Evidence-Based Policymaking

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and local policymakers can take to ensure that taxpayer money is being used in

the most effective ways possible:

1. Add requirements and support for rigorous evaluation into existing

funding streams. When authorizing pilot programs, lawmakers should

encourage agencies to roll them out in a way that allows agencies and scholars to

compare the effect of the programs on those who receive services from them

against a statistically identical population that receives only pre-existing services.

Policymakers should seek out technical assistance for agencies to become better

producers and consumers of evidence and to create a culture of evaluation across

the jurisdiction's executive branch.

2. When allocating scarce resources to oversubscribed programs, consider

determining eligibility by lottery rather than first-come-first-served. This is a

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way for agencies to evaluate the impact of a program on recipients and make the

case for further funding if it is demonstrably effective. Lotteries can also be the

fairest way to select individuals off a wait list. This approach was used to great

effect by the state of Oregon when it expanded Medicaid to previously ineligible

applicants by lottery, allowing scholars to observe precisely what effects

expanded Medicaid access had on beneficiaries' financial circumstances and

physical and mental health.

3. Require that agencies link administrative datasets. Government programs

often affect people's lives in ways that are not confined to bureaucratic silos. A

housing program can have a profound effect on health, an education program

can affect students' job prospects, or a program for substance use disorder

treatment can influence the likelihood that patients will get into trouble with the

law. But these outcomes can be hard to detect if data is confined to silos within

agencies that do not work together. Policymakers should insist that agencies

think collaboratively about how to link data so that policymakers and

researchers can observe the true effects of programs. South Carolina, for

example, has established an integrated data system to make it easier for

government and independent evaluators to study the impact of initiatives such as

the Nurse-Family Partnership program.

4. Institutionalize best practices by creating independent evaluation offices.

These are tasked with identifying opportunities for randomized evaluations and

other rigorous research, linking administrative datasets across state agencies to

facilitate these evaluations, and applying existing evidence to improve the

efficacy of state programs. For example, the Washington state legislature

established the Washington State Institute for Public Policy to carry out policy-

relevant research and to use this evidence to advise legislators. In a similar

model with a focus on behavioral science, Philadelphia and Washington, D.C.,

have created behavioral "nudge" units, along the lines of the White House Social

and Behavioral Science Team, to apply research from behavioral science to

improve the efficacy of their programs.

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5. Take a page from Congress' book by establishing state-level commissions

on evidence-based policymaking. These would be charged with carrying out

systematic reviews of existing data and evaluation infrastructure and finding

better ways to institutionalize the generation and use of evidence in government

policy.

By implementing these kinds of suggestions, state and local government

policymakers can build the infrastructure to design and fund programs that work

-- a win-win for policymakers of all political persuasions and for the citizens they

serve.

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Executive director of J-PAL North America and a former White House adviser

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Quentin Palfrey

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