Archive for the ‘Politics’ Category

On Tuesday, I had the chance to testify before the Senate Finance Committee on business tax reform. Here are my opening remarks. They are a bit on the glum side, emphasizing challenges and constraints lawmakers face.  Moving from optimistic rhetoric about tax reform to legislative reality is hard. You can find my full testimony here.

America’s business tax system is needlessly complex and economically harmful. Thoughtful reform can make our tax code simpler. It can boost American competitiveness. It can create better jobs. And it can promote shared prosperity.

But tax reform is hard. Meaningful reforms create winners and losers. And you likely hear more complaints from the latter than praise from the former. I feel your pain. At the risk of adding to it, my testimony makes eight points about business tax reform.

  1. Thoughtful reform can promote economic growth, but we should be realistic about how much.

More and better investment boosts economic activity over time. The largest effects will occur beyond the 10-year budget window. If reform is revenue neutral, revenue raisers may temper future growth. If reform turns into tax cuts, deficits may crowd out private investment. Either way, the boost to near-term growth may be modest. Dynamic scoring will thus play only a small role in paying for tax reform.

  1. The corporate income tax makes our tax system more progressive.

The corporate income tax falls on shareholders, investors more generally, and workers. Economists debate how much each group bears. Workers are the most economically diverse. But they include highly paid executives, professionals, and managers as well as rank-and-file employees. The bulk of the corporate tax burden thus falls on people with high incomes even if workers bear a substantial portion.

  1. Workers would benefit from reforms that encourage more and better investment in the United States.

In the long run, wages, salaries, and benefits depend on worker productivity. Reforms that encourage investment and boost productivity would thus do more to help workers than those that merely increase shareholder profits.

  1. Taxing pass-through business income at preferential rates would inspire new tax avoidance.

When taxpayers can switch from a high tax rate to a lower one, they often do. Kansans did so when their state stopped taxing pass-through income. Professionals use S corporations to avoid payroll taxes. Investment managers convert labor income into long-term capital gains. Congress and the IRS can try to limit tax avoidance. But the cost will be new complexities, arbitrary distinctions, and new administrative burdens.

  1. Capping the top rate on pass-through business income would benefit only high-income people.

To benefit, taxpayers must have qualifying business income and be in a high tax bracket. Creating a complete schedule of pass-through rates could reduce this inequity. But it would expand the pool of taxpayers tempted by tax avoidance.

  1. Taxing pass-through business income at the corporate rate would not create a level playing field.

Pass-through income faces one layer of tax. But corporate income faces two, at the company and again at taxable shareholders. Taxing pass-throughs and corporations at the same rate would favor pass-throughs over corporations. To get true tax parity, you could apply a higher tax rate on pass-through business income. You could levy a new tax on pass-through distributions. Or you could get rid of shareholder taxes.

  1. It is difficult to pay for large cuts in business tax rates by limiting business tax breaks and deductions.

Eliminating all corporate tax expenditures except for deferral, for example, could get the corporate rate down to 26 percent. You could try to go lower by cutting other business deductions, such as interest payments. But deductions lose their value as tax rates fall. To pay for large rate reductions, you will need to raise other taxes or introduce new ones. Options include raising taxes on shareholders, a value-added tax or close variant like the destination-based cash flow tax, or a carbon tax.

  1. Finally, making business tax cuts retroactive to January 1, 2017 would not promote growth.

Retroactive tax cuts would give a windfall to profitable businesses. That does little or nothing to encourage productive investment. Indeed, it could weaken growth by leaving less budget room for more pro-growth reforms. Another downside is that all the benefits would go to shareholders, not workers.


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How fast will the US economy grow? When mainstream forecasters consult their crystal balls, they typically see real economic growth around 2 percent annually over the next decade. The Congressional Budget Office (CBO) and midpoint estimates of Federal Reserve officials and private forecasters cluster in that neighborhood.

When President Trump looks in his glowing orb, he sees a happier answer: 3 percent.

That percentage point difference is a big deal. Office of Management and Budget director Mick Mulvaney recently estimated the extra growth could add $16 trillion in economic activity over the next decade and almost $3 trillion in federal revenues.

But could our economy really grow that fast? Maybe, but we’d need to be both lucky and good. We’ve grown that fast before. But it’s harder now because of slower population growth and an aging workforce. And there are signs that productivity growth has slowed in recent years.

To illustrate the challenge, I’ve divvied up past and projected economic growth (measured as the annual growth rate in real gross domestic product) into three components: the growth rates of population, average working hours, and productivity.


The link between population and growth is simple: more people means more workers generating output and more consumers buying it. Increased working hours have a similar effect: more hours mean more output and larger incomes. Hours go up when more people enter the labor force, when more workers find jobs, and when folks with jobs work more.

Productivity measures how much a worker produces in an hour. Productivity depends on worker skills, the amount and quality of capital they use, managerial and organizational capability, technology, regulatory policy, and other factors.

As the first column illustrates, the US economy averaged 3 percent annual growth over more than six decades. Healthy growth in population and productivity offset a slight decline in average hours. Of course, that six-decade average includes many ups and downs. The Great Recession and its aftermath dragged growth down to only 1.4 percent over the past decade. In the half century before, the United States grew faster than 3 percent.

Mainstream forecasters like the CBO and the Federal Reserve expect slower future growth along all three dimensions. People are having fewer children, and more adults are moving beyond their child-rearing years, so population growth has slowed. Our workforce is aging. Baby boomers are cutting back hours and retiring, and younger workers aren’t fully replacing them, so average working hours will decline. Productivity growth has slowed sharply in recent years, for reasons that are not completely clear. Productivity is notoriously difficult to forecast, but recent weakness has inspired many forecasters to expect only moderate growth in the years to come.

Proponents of President Trump’s economic agenda offer a rosier view. Four prominent Republican economic advisers—John F. Cogan, Glenn Hubbard, John B. Taylor, and Kevin Warsh—recently argued that policy, not just demographic forces, has brought down recent growth. They claim supply-side policy reforms—cutting tax rates, trimming regulation, and reducing unproductive spending—can bring it back up. They argue that encouraging investment, reinvigorating productivity growth, and drawing enough people into the labor force to offset the demographic drag would generate persistent 3 percent growth.

Many analysts doubt such supply-side efforts can get us to 3 percent growth (e.g., here, here, here, and here). Encouraging investment and bringing more people into the labor force could certainly help, but finding a full percentage point of extra growth from supply-side reforms seems like a stretch. Especially if you plan to do it without boosting population growth.

The most direct supply-side policy would be expanding immigration, especially among working-age adults (reducing our exceptional rates of incarceration could also boost the noninstitutional population). But the Trump administration’s antipathy to immigration, and that of some Republicans in Congress, pushes the other way. Cutting legal immigration in half over the next decade could easily take 0.2 percentage points off future growth (see this nifty interactive tool from ProPublica and Moody’s Analytics). Three percent growth would then be even more of a stretch.

Another group of economists believes that demand-side policies—higher spending and supportive monetary policy—could lift growth above mainstream forecasts.

One trio of economists took a critical look at past efforts to forecast potential GDP growth, a key driver of long-run growth forecasts. They conclude that forecasters, including those at the Federal Reserve and the CBO, have overreacted to temporary economic shocks, overstating potential growth when times are good and understating it when times are bad. We’ve recently had bad times, so forecasters might be underestimating potential GDP almost 10 percent. If so, policies that boost demand could push up growth substantially in coming years. (For a related argument, see here.)

So where does that leave us?

Well, every crystal ball (and glowing orb) is cloudy. We should all be humble about our ability to forecast the economy over the next decade. Scarred by the Great Recession and its aftermath, forecasters may be inadvertently lowballing potential growth. Good luck and good supply- and demand-side policies might deliver more robust growth than they anticipate. But those scars remind us we can’t always count on good policy, and luck sometimes runs bad.

We can hope that luck and good policy lift growth to 3 percent. But it’s prudent to plan for 2 percent, and pray we don’t fall to 1 percent.

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The House Freedom Caucus wants to eliminate the Budget Analysis Division at the Congressional Budget Office and rely on outside research organizations, including the Urban Institute, instead. As a former acting director of CBO and an Institute fellow at Urban, I think this is a terrible idea. It would harm fiscal policymaking and weaken the Congress.

Here’s the proposal offered by Representatives Scott Perry (R-PA), Jim Jordan (R-OH), and Mark Meadows (R-NC):

The Budget Analysis Division of the Congressional Budget Office, comprising 89 employees with annual salaries aggregating $15,000,000, is hereby abolished. The duties imposed by law and regulation upon the employees of that Division are hereby transferred to the Office of the Director of the Congressional Budget Office, who shall carry out such duties solely by facilitating and assimilating scoring data compiled by the Heritage Foundation, the American Enterprise Institute, the Brookings Institution, and the Urban Institute.

We certainly appreciate the shout out. Here at Urban, we have amazing researchers who model policies involving health insurance, Social Security, taxes, food stamps, housing, and many other programs. We are proud of our work and try to be as helpful as possible to lawmakers across the political spectrum.

But neither we nor other private organizations can replace CBO’s budget group. Our skills overlap, but we fill different niches in the policy ecosystem.

Consider the sheer scope of CBO’s responsibilities. As Director Keith Hall noted in recent testimony, the agency expects to publish official scores of more than 600 pieces of legislation in the next year. The scores will estimate the spending and, usually with input from the Joint Committee on Taxation, the revenue implications of every provision in those bills. They will also assess whether the bills impose substantial mandates on the private sector or state, local, and tribal governments.

To do this, CBO has staffers familiar with every nook and cranny of the government, from agriculture to veterans. In just the past week, CBO has published more than two dozen cost estimates covering everything from flood insurance to child care to maritime administration to sanctions on Russia, Iran, and North Korea. Not to mention scoring Senate proposals to repeal and possibly replace the Affordable Care Act. Only CBO and its White House equivalent, the Office of Management and Budget, have the capacity to model every facet of federal spending.

Outside groups could certainly expand their capacities. And Congress could expand the list of anointed organizations. But the bottom line is that we would need substantial new resources, both funding and people. Replacing the capacities of CBO’s budget division is not something research organizations can or should do for free.

But resources aren’t the core issue. In addition to its published cost estimates, CBO provides thousands of confidential cost estimates to members of Congress and their staffs as they craft potential legislation. This service is vital to thoughtful legislating. Confidential feedback helps members test new ideas, consider alternatives, and refine proposals until they are ready to go public.

Outside organizations can, and indeed already do, provide similar modeling help to members. At Urban, we frequently get requests from Representatives and Senators of both parties. But working through iterations of potential legislation works best when lawmakers and their staffs work directly with the analysts who will give them official scores. Working with CBO’s budget team is a much more effective process than trying to coordinate different scores, based on different models and assumptions, from multiple outside organizations.

The most important difference between research organizations and Congress is also the most obvious. CBO works for Congress and only for Congress. CBO works closely with the budget committees and House and Senate leadership to juggle priorities, set deadlines, and provide the analyses Congress needs and wants. CBO obeys congressional budget rules, even when it disagrees with them. CBO has the backing of Congress when it gathers data and information from agencies.

CBO thus has an edge in providing the analyses Congress needs, when it needs them. Research organizations can and do provide timely analysis as well, but there are limits. We have other projects and demands on our time.

Moreover, we outside researchers rely heavily on the work that CBO’s budget analysis division currently does. CBO’s annual baselines, for example, often provide the starting point for our analyses. And CBO scores provide many of the numbers we use to model alternative policies. Eliminating CBO’s budget team would undermine our ability to deliver the type of analyses that Congress wants.

Eliminating CBO’s budget team would also weaken Congress. Congress created CBO in the early 1970s as part of a larger battle with President Nixon about power over the purse. Congress created CBO to ensure its own source of credible budget information. Defunding CBO’s budget team would weaken Congress at a moment when objective budget information and a balance between Congress and the President are as important as ever.

My colleagues and I would welcome opportunities to provide more help to Congress as members grapple with policy challenges, develop options, and try to understand the range of potential outcomes. But asking us to replace CBO’s budget team would undermine thoughtful policy making and weaken the Congress.

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Mexico won’t willingly write the check for Donald Trump’s wall. So the president is hunting for a way to make Mexico pay.

That search isn’t going well.

Last week, press secretary Sean Spicer floated one idea: the destination-based cash flow tax. The DBCFT taxes imports and exempts exports. We import about $50 billion more from Mexico each year than we export. So the DBCFT could raise substantial revenue from trade with Mexico. Maybe Trump could earmark that money to pay for the wall?

Such earmarking sounds superficially plausible. But it has fundamental budget and logic flaws.

The budget problem is that Congress has other plans for that money. The DBCFT is the centerpiece of the House proposal for tax reform. House leaders insist reform will be revenue neutral. Any new money from the DBCFT will offset money lost from cutting business taxes. That leaves nothing for Trump’s wall.

Broader point: You can’t pay for anything with revenue-neutral tax reform (or, for that matter, with revenue-losing “tax relief”).

Trump may be more concerned with messaging than with these budget niceties. So he could still try to rhetorically link the DBCFT to paying for the wall.

But that leads to the logic problem. We run trade deficits with many countries. If the DBCFT makes Mexico pay for the wall, what does it make China pay for? Germany? Japan? Vietnam? And what about countries like Hong Kong, where America has a trade surplus? Are we paying them for something? And what happens when the wall has been paid for? Does Mexico become exempt from the DBCFT? Or does it start paying for something else?

These questions have no sensible answers. The DBCFT treats Mexico like every other nation, so it can’t make Mexico pay for the wall.

Some observers initially thought Spicer was suggesting a new tariff on Mexican imports. Most economists rightly hate that idea and fear it could spark retaliation against American products. And it seems clear that Spicer really meant the DBCFT. But let’s give that interpretation some credit. A tariff, unlike the DBCFT, could raise new revenue specifically from trade with Mexico.

But a tariff still faces a fundamental economics problem. A tariff doesn’t work like Las Vegas. Just because it targets Mexican products doesn’t mean the tax stays there. Instead, businesses will raise prices, passing some tax on to American customers. Consumers would pay more for cars, TVs, and avocados. Businesses would pay more for auto parts, trucks, and telecommunications equipment. Some burdens would decline over time as businesses shift to suppliers outside Mexico. But some shift of the burden to Americans is inevitable. A tariff would thus make American consumers and businesses, not just Mexicans, pay for Trump’s wall. And that’s without any retaliation.

If President Trump wants to target Mexico alone, he needs another strategy. Neither the DBCFT nor a tariff can make Mexico pay for the wall.


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What do indoor tanning, shopping bags, junk food, alcoholic beverages, tobacco, “gas guzzling” cars, ozone-depleting chemicals, sugary drinks, marijuana, gasoline, coal, carbon-containing fuels, and financial transactions have in common? Taxes that discourage them. The United States taxes indoor tanning to reduce skin cancer, for example, while Washington DC taxes shopping bags to cut litter, and Mexico taxes junk food to fight obesity.

Governments hope these “corrective taxes” will reduce harms from pollution, unhealthy consumption, and other risky behaviors. But taxing “bads” can also bring in big money. A US carbon tax could easily raise more than $100 billion annually, for example, and a tax on sugary drinks could raise $10 billion.

How should governments use that money? As you might expect, policymakers, advocates, and analysts have proposed myriad ways to use the revenue to pay for new spending, to cut taxes, or, in a few cases, to reduce borrowing. In a new paper, however, Adele Morris and I argue that all these options boil down to four basic approaches:

Revenue Use Table 2

Advocates often suggest that revenue be put toward the same goal as the tax. Carbon tax revenues might subsidize energy efficiency or clean energy, for example, and sugary drink revenues might subsidize healthier food or nutrition information programs. Using revenue that way may make sense if you believe the tax won’t sufficiently change business and consumer choices. But there are downsides. A successful tax will typically reduce the potential benefits from other policies aimed at the same goal. As a result, it may make sense to roll back other policies, rather than expand them, when a substantial corrective tax is implemented. Directing revenues to the same goal may also limit lawmakers’ ability to build a coalition for a corrective tax, while other uses may attract supporters with other priorities.

Another approach is to use the revenue to offset the burdens that a corrective tax creates. New taxes on food, energy, and other products can squeeze household budgets, particularly for families with lower incomes. Shrinking the market for targeted products may disproportionately burden specific workers, industries, and communities. If a tax is large enough, moreover, it may slow overall economic activity. Tax cuts, expansions in transfer programs, or other spending increases may offset some of these harms while leaving the incentives intact. This is particularly important when taxes are intended to help people who suffer from internalities—health risks and other costs they unintentionally impose on themselves. In those cases, rebating revenue to affected consumers can help ensure that a tax actually helps the people who pay it.

A third approach is to use revenues to offset costs of the taxed activity. If an activity imposes costs on an identifiable group of people, it may make sense to compensate them for the harm. A US tax on coal does this, for example, by funding assistance to workers who develop black lung disease. Revenues can also cover some costs of providing public services that support the taxed activity. Fuel taxes paid by drivers, airplane passengers, and maritime shippers , for example, help fund the creation and maintenance of the associated infrastructure.

Finally, governments could treat corrective taxes like any revenue source, with receipts used to reduce borrowing, boost spending, or cut taxes in ways unrelated to the goal of the tax. Governments could allocate the money using ordinary budget processes, as Berkeley, California does with its soda tax revenue, or could earmark revenues to specific efforts, as France does by directing some financial transactions tax revenue to international aid.

Policymakers must consider a host of factors when deciding what mix of these options to pursue. Complete flexibility may allow them to put revenue to its best use over time. But surveys suggest that the public is often skeptical of corrective taxes if they don’t know how the revenue will be used. Many worry, for example, that the corrective intent of a tax may just be a cover story for policymakers’ real goal of expanding government.

Recycling corrective tax revenue into offsetting tax cuts can assuage that concern. But revenue neutrality has downsides as well. Matching incoming revenues and offsetting tax cuts may be difficult, given uncertainties in future revenues from a corrective tax and any offsetting tax cuts. In addition, it may be easier to achieve some distributional goals through spending than tax reductions. For example, a new spending program may be a more straightforward way to help coal miners hurt by a carbon tax than some kludgy tax credit. People who generally oppose wholesale revenue increases from corrective taxes should thus be open to modest deviations from revenue neutrality that provide a more effective way to accomplish policy goals.

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Behavioral “nudges” can increase college enrollment by low-income students, boost health insurance take up, encourage federal workers to save for retirement, cut delinquencies on student loans, reduce vendor fraud, and save paper, according to the first annual report of the White House’s “nudge” unit.

President Obama established the unit—officially known as the Social and Behavioral Sciences Team (SBST)—to use insights from psychology, behavioral economics, and other decision sciences to improve federal programs and operations. Those social sciences increasingly appreciate what regular folks have long known: people are imperfect. We procrastinate. We avoid making choices. We get confused and discouraged by complex forms. We forget to do things. We sometimes lack the energy to weigh decisions thoroughly, so we act based on what we think our peers do or how choices are framed. And we sometimes cut corners when we think no one is looking.

Changing how people engage with the choices they face—“nudging” them—can reduce those imperfections and substantially affect their decisions. The SBST is exploring how that insight can improve government activities. To date, it’s completed more than 15 pilots exploring such questions as:

  • Can prompted choice and sending reminders increase service-member participation in employee retirement plans? Yes.
  • Can personalized text messages reduce “summer melt,” the failure to enroll of low-income students accepted to colleges? Yes.
  • Can reminder emails reduce student loan delinquencies? Yes, modestly.
  • Can a simple change to a form reduce vendor low-balling of the fees they owe the government? Yes, a bit.
  • Can redesigning a collection letter increase debt recovery? No, at least not the letter that SBST tested.
  • Can notifying doctors that they are especially high prescribers of controlled substances reduce inappropriate prescriptions in Medicare? No, but SBST is trying new notifications.
  • Can a pop-up box get employees to print double-sided rather than single-sided? Yes.

These examples run the gamut from the life-changing to the almost trivial. But they illustrate a common theme: details matter. Policy debates usually focus on high-level issues. Should health insurance be offered on exchanges? Should student loan repayments be limited as a share of a borrower’s income? But after such issues are settled, their impact depends on how policies are implemented. The nitty-gritty of designing forms, deciding how and when to prompt people, and framing and communicating options really matter.

The SBST’s first year also demonstrates the importance of testing new approaches before rolling them out at large scale. It isn’t enough to recognize that particular nudges can influence people. Where possible, agencies should test different approaches to see how they work in specific circumstances. Letters comparing your behavior to your peers’ may encourage people to conserve electricity and pay their taxes, for example, but as one pilot found, that doesn’t mean that they will get doctors to prescribe fewer opioids.

On Tuesday, President Obama signed an executive order making the SBST a permanent part of the White House and directing government agencies to use behavioral sciences to improve their programs and operations. That move is consistent with a larger, bipartisan effort to bring more evidence to bear on the design and implementation of federal programs. The government shouldn’t operate in the dark when there’s an opportunity to use evidence to make programs more efficient and effective.

That potential comes with responsibility, however. One of the most important lessons from behavioral science is that framing matters. Government nudges are a perfect case in point. I’ve been characterizing the SBST’s efforts as “pilots” and “testing new approaches” to improve government activities. Those words are innocuous or positive. As a recent headline illustrates, however, this effort can also be characterized as “President Obama Orders Behavioral Experiments on American People.” That sounds much more ominous.

That characterization reflects concern about the goals of government nudging and the oversight of experiments. Are they really trying to improve our government and lives? Or are they manipulating us to do whatever Uncle Sam wants?

The most effective response is transparency. Tell the American people about the experiments, their goals, and their results. The SBST deserves good marks on that dimension. Its first report provides a good deal of information about each of the pilot studies, both the successes and the failures. As behavioral approaches spread, the government should build on that transparency to ensure that policymakers, media, and the public have the evidence they need to judge their merits.

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The House recently changed the rules of budget scoring: The Congressional Budget Office and the Joint Committee on Taxation will now account for macroeconomic effects when estimating the budget impacts of major legislation. Here are three things you should know as we await the first official dynamic score.

1. Spending and regulations matter, not just taxes

You might think dynamic scoring is just about taxes. It’s not. Spending and regulatory policies can also move the economy. Take the Affordable Care Act. CBO estimates that the law’s insurance subsidies will reduce labor supply by 1.5 to 2.0 percent from 2017 to 2024, some 2 to 2.5 million full-time equivalent workers. If CBO and JCT do a dynamic score of the House’s latest ACA repeal, this effect will be front and center.

The same goes for immigration reform. In 2013 (and in 2006), CBO and JCT included some macroeconomic effects in their score of comprehensive immigration reform, though they did not do a fully dynamic score. Under today’s rules, reform would show an even bigger boost to the economy and more long-term deficit reduction than the agencies projected in the earlier bills.

2. Dynamic scoring isn’t new

For more than a decade, CBO and JCT have published dynamic analyses using multiple models and a range of assumptions. For example, JCT projected former House Ways & Means Committee chairman Dave Camp’s tax reform plan would boost the size of the economy (not its growth rate) by 0.1 to 1.6 percent over 2014 to 2023. The big step in dynamic scoring will be winnowing such multiple estimates into the single set of projections required for official scores.

Observers understandably worry about how the scorekeepers will do that. For example, what will JCT and CBO do with certain forward-looking models that require assumptions not just about the policy in question but also about policy decisions Congress will make in the future? If the agencies score a tax cut today, do they also have to include future tax increases or spending cuts to pay for it, even if Congress doesn’t specify them? If so, how should the agencies decide what those offsetting policies are? Does the existence of such models undermine dynamic scoring from the start?

Happily, we already have a good sense of what the agencies will do, and no, the existence of such models doesn’t hamstring them. At least twice a year, CBO and JCT construct baseline budget projections under existing law. That law often includes scheduled policy changes, most notably the (in)famous “fiscal cliff” at the end of 2012. CBO and JCT had to include the macro effects of the cliff in their budget baseline at that time, even though they had no idea whether and how Congress might offset those policies further in the future. That’s dynamic scoring in all its glory, just applied to the baseline rather than analyzing new legislation. CBO and JCT didn’t need to assume hypothetical future policies to score the fiscal cliff, and they won’t need to in scoring legislation either.

3. Dynamic scoring won’t live up to the hype, on either side

Some advocates hope that dynamic scoring will usher in a new era of tax cuts and entitlement reforms. Some opponents fear that they are right.

Reality will be more muted. Dynamic scores of tax cuts, for example, will include the pro-growth incentive effects that advocates emphasize, leading to more work and private investment. But they will also account for offsetting effects, such as higher deficits crowding out investment or people working less because their incomes rise. As previous CBO analyses have shown, the net of those effects often reveals less growth than advocates hope. Indeed, don’t be surprised if dynamic scoring sometimes shows tax cuts are more expensive than conventionally estimated; that can easily happen if pro-growth incentives aren’t large enough to offset anti-growth effects.

Detractors also worry that dynamic scoring is an invitation for JCT or CBO to cherry pick model assumptions to favor the majority’s policy goals. Doing so runs against the DNA of both organizations. Even if it didn’t, the discipline of twice-yearly budget baselines discourages cherry picking. Neither agency wants to publish rosy dynamic scenarios that are inconsistent with how they construct their budget baselines. You don’t want to forecast higher GDP when scoring a tax bill enacted in October, and have that GDP disappear in the January baseline.

I am cautiously optimistic about dynamic scoring. Done well, it can help Congress and the public better understand the fiscal effects of major policies. There are still some process issues to resolve, most notably how investments might be handled, but we should welcome the potential for better information.

For more views, see the dynamic scoring forum at TaxVox, the blog of the Tax Policy Center.

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