Department of Treasury: Refugees promote fiscal stability

Last month, the Department of Health and Human Services released a new report looking at the fiscal impact that refugees and asylees had on the American economy. Specifically, they looked at how tax revenue generated by Asylees and Refugees compared to federal and local spending on refugees and asylees. 

Essentially, this report asked whether or not the tax contributions of refugees and asylees paid for the public services these people accessed. 

In total, the Department of Health and Human Services found that over a 15-year period, government expenditures on refugees and asylees totalled $457.2 billion, compared to $581 billion in tax revenue generated by refugees and asylees. This means that refugees and asylees had a positive fiscal impact on the federal budget of $123.8 billion over this 15-year period. 

When looking at refugees, asylees, and their immediate families, there still exists a total net positive fiscal impact, though it is much smaller. This is because when accounting for immediate families, the federal government experiences a net fiscal benefit of $37.5 billion while local governments experience a net fiscal loss of $21.4 billion. Local governments bear a disproportionately high amount of the costs associated with refugees and asylees since they fund public K-12 schools refugee children are educated in. 

Overall, this report shows that welcoming refugees and asylees is not just a humanitarian service, it also helps U.S. fiscal solvency. 

One of the limitations of this study is that it only looks at the financial impacts that refugees and asylees have on public budgets. It does not address the social impacts refugees and asylees have on the communities they become a part of, or the economic impact of these refugees on the broader community.

One study from 2016 looked at the spillover effects that refugee camps in Rwanda had on their neighboring communities. These researchers found that as a result of the aid that refugees received, real wages increased in nearby communities. 

While refugees and asylees in the United States are clearly living in a different context, it is encouraging to know that in some areas, the presence of displaced people can directly benefit the communities that they become a part of. 

It would be valuable for researchers to explore some of these questions in the context of the United States. Understanding what the spillover effects of accepting refugees are, and if they vary in any ways, could help maximize what appears to already be a beneficial program from a financial perspective. 

Additionally, more research could identify inefficiencies that hinder refugees and asylees in the United States. For example, one paper from 2017 found that despite the fact that refugees and asylees provide net fiscal benefits in the long run, they were much poorer and had much lower employment compared to native residents when they first entered the country. This means that in the short run, they likely rely more heavily on social services.

It is impractical to expect refugees and asylees to immediately find their footing after moving to the United States, but if something could be done to make that transition smoother, then we might expect them to have an even greater positive fiscal impact.

This research highlights the fact that refugees and asylees can provide financial value to the public sectors of communities they enter. While we still don’t understand the total impacts these people have, this study at least gives us a valuable piece of the puzzle.

High-quality child care is key to improving tomorrow’s workforce in Ohio

In a recent Cleveland.com article, Jeremy Pelzer reported that the Ohio Chamber of Commerce has been expressing public concerns about Ohio’s child care market.

The general argument being made by Steve Stivers, president and CEO of the Ohio Chamber of Commerce, is that workers need child care options if they want to go to work. If child care options are too expensive or not readily available, potential workers will opt out of the workforce.

This will reduce Ohio’s labor force participation rate, which will drive up costs for labor and will run Ohio companies out of business.

This reasoning is sound and reflects an immediate problem for Ohio businesses. If workers cannot afford child care, they will opt to care for children on their own rather than pay the cost of child care.

Workforce participation of the parents is not the only economic impact of lack of child care, however. A potentially larger long-term economic impact comes from how lack of quality child care will affect the workforce trajectory of the kids themselves.

In his book on the topic, “Investing in Kids, Economic Development Economist Timothy Bartik tackles this question. 

Bartik started his career as an economist focused on economic development incentives. Tax incentives for economic development are maligned by economists as a “race to the bottom” public policy tool that pits localities against one another and leaves them all worse off.

Bartik’s interest was in whether economic development incentives made sense to local policymakers themselves. He created a model that helped explain what the impact of economic development incentives was on local wages.

What Bartik found was that well-designed economic development incentives that did things like invest in export-heavy industries through tools like local infrastructure development and workforce training could have a positive impact on local wages.

After doing this work, Bartik was approached by a foundation who asked him a new question: could early childhood education be an economic development tool? Could investing in kids today lead to better local wages decades down the line?

Bartik tackled the question and found the answer is yes, investing in early childhood education today is investing in tomorrow’s local workforce. He found that not only was investing in early childhood education a good way to improve wages down the line, but that the gains realized by early childhood education were comparable to the gains realized by well-designed economic development incentives.

Also important about Bartik’s analysis is that he found these benefits accrued to local wages. So this means that even after accounting for the fact that many children will eventually move away from the place where they received their early education, localities will still end up with better wages down the road that more than pay for the up-front cost of providing early education for children in the first place.

According to the best evidence we have today, improving access to high-quality child care and early education is not just a key part of supporting today’s workforce. It’s also an effective policy lever for improving tomorrow’s.

This commentary first appeared in the Ohio Capital Journal.

What does anti-poverty policy look like in a post-COVID world?

One thing I’ve noticed in conversations I have with people working in nonprofit and public finance is a growing nervousness around the coming expiration of ARPA funds.

According to a blog post from the Economic Policy Institute last month, 2024 is the last opportunity for state and local governments to make spending decisions on ARPA funds. State governments have only decided how to spend about $140 billion of the $200 billion allocated to them while local governments have only decided how to spend $59 billion of the $100 billion allocated to them. This means about $100 billion in ARPA funds for state and local governments have not been decided on yet.

Even if all these funds are allocated, they will run out in 2026. This is temporary state and local support and any programs they fund will have to find new sources of funding or cease. Many schools are set to lose ARPA funding in September of this year.

COVID-19 was a unique time in our public policy history. Policymakers responded much more quickly than usual, putting aside political differences to rally behind emergency measures in a way that mirrored wartime unity. The package of allocations for state and local governments, cash transfers to taxpayers, and expansion of programs like SNAP and school lunches represented a general acceptance among policymakers that the public sector needed to support individuals because there was an external threat, no fault of their own, that they needed protection from.

The strange thing about this assessment is that this is the problem of poverty every day of every year. Very few people choose poverty the same way they choose what to wear in the morning. Poverty chooses them.

One of the problems with how policymakers approach poverty is that it is often treated as some sort of cosmic justice for people’s decisions in the past. The hesitancy policymakers have to even address child poverty suggests this goes beyond a belief that is rooted in empirical evidence or some idea of who deserves what. It reflects a belief that there is something metaphysical that levies poverty on these children. Either that, or that child poverty is somehow justice for parents who make poor decisions.

We at Scioto Analysis are here to dispel this myth. No one deserves poverty. And a strong social safety net that catches people when they are about to fall into it creates safety that lets people climb the tightrope and take risks that lead to innovation. A landmark 2018 study found someone in the richest 1 percent of the country was ten times more likely to be an inventor than someone in the poorest 50 percent of the country. This is because people in the richest 1 percent have a safety net not available to the bottom 50 percent–family support.

With the unity of the COVID-19 pandemic long gone now, old notions of desert of poverty are back in vogue. But poverty continues to cause problems for people in poverty and people not in it alike. Are policymakers willing to confront this problem or will they push their heads deeper in the sand?

How have SNAP benefits evolved in Ohio?

In November of last year, Brookings published a report comparing state social safety nets. One of the most significant parts of safety nets in the states is the Supplemental Nutrition Assistance Program, otherwise known as SNAP  and formerly known as “food stamps”.

SNAP is an extremely important anti-poverty program. The Census Bureau estimates that nationwide, 3.7 million people are lifted out of poverty as a result of these benefits. This makes it the third largest anti-poverty program in the United States, behind only Social Security and refundable tax credits like the Earned Income Tax Credit.

Below are two charts. The first shows the number of Ohioans that received SNAP benefits in each month since January 2007, and the second shows the average amount of benefits each person received in dollars. All data below comes from the Ohio Department of Job and Family Services.

These two graphs highlight how the SNAP benefits changed during the Great Recession and during the COVID-19 pandemic. During both downturns, SNAP benefits increased in Ohio, but the nature of these downturns highlights some important differences. 

One difference between the Great Recession and the COVID-19 pandemic is that in 2008, there was a large increase in the number of people receiving benefits, while in 2020 there was a massive spike in the size of those benefits. During both events, the number of people and the value of the benefits increased, but there is a clear difference in the magnitude of each change.

This is because of how the Federal Government chose to respond to these different crises. In 2009, the Obama administration passed the American Recovery and Reinvestment Act which provided funding for infrastructure, healthcare, and education. The goal of this was to get the economy back on track after the financial markets collapsed.

In 2020, one of the steps the Trump administration took early on to address the pandemic was the passing of the Families First Coronavirus Response act, which among other things allowed states to increase the amount of money families received substantially. This resulted in the total amount of SNAP benefits issued in Ohio to more than double from $169 million to $387 million, while the total number of recipients only increased from 1.3 million people to 1.6 million people.

The difference between these two downturns was that in 2008, the financial sector failed from within. In 2020, there was a major outside force that caused all of the damage. The response from the Obama administration reflects the fact that fundamental change was needed in order to get back on track. Extreme emergency spending would have been helpful, but it would not have addressed the long term issues that plagued the economy. 

When the pandemic began in 2020, there wasn’t the same type of major structural flaw in the economy. Certainly the pandemic exposed every flaw that it could find, but at the time it was not unreasonable to think that with a large enough band-aid type fix could solve the immediate problems until a vaccine brough the pandemic to a close. This is the same time that officials were issuing lockdowns that were only supposed to last a few weeks. 

What is interesting about the expansion of benefits during the COVID-19 pandemic is that they were extremely successful at abating poverty, even after the vaccine was developed and case counts began to fall. Unfortunately, programs like the expanded SNAP allotments and the expanded Child Tax Credit are starting to phase out. 

At the end of 2024, local governments will run out of time to use the last of their American Rescue Plan Act funding. This means local policymakers are on the clock to try and find ways to use this money wisely. If it gets used ineffectively, then people who have come to rely on increased assistance in the face of rising prices are going to get left behind. Hopefully this last bit of stimulus can be used to create long-lasting change. 

What does sustainable economic development look like?

The rising cost of housing and rent has emerged as a defining public policy problem of the 2020s.

In response to the rapidly increasing price of housing, most experts in the housing sphere have pointed to the culprit: housing supply. High-demand metro areas are growing rapidly, but housing supply has not caught up with that demand. When demand outstrips supply, guess what? Housing prices go up.

Why hasn’t housing supply kept up with demand? Experts in the housing sphere say it has a lot to do with local housing policy. Rigid zoning, policies that favor single-family housing, and a patchwork of housing support between public housing, rent controls, and federal vouchers have led to a system that has slowed housing growth to a spigot in many metropolitan areas while population has continued to grow.

Simply put: governments have been too rigid in telling people what kind of housing can be built where and have distorted the housing market.

Two Bloomberg stories caught my attention lately that showed policymakers putting their thumbs on the scale in local economic development in different ways.

One was about a trend in local governments subsidizing grocery stores to encourage them to stay open in “food deserts.” The idea here is that the local food market is not strong enough to support a grocery store, so the public sector should subsidize stores to reduce food insecurity.

Another was about local governments banning new car washes in their neighborhoods. Local citizens have felt overwhelmed by the number of car washes in their neighborhoods and have been working to use local control ordinances to reduce the opening of car washes in their neighborhoods.

I see both of these as examples of a similar phenomenon: local policymakers trying to shape the character of their neighborhood by encouraging or discouraging certain types of development.

There are a few problems that come with this approach.
First, corruption. The types of tools policymakers use for these sorts of interventions are easily abused by businesses. Subsidies are more likely to go to companies that are connected to policymakers. We saw this with the infamous HB6 scandal in Ohio. “Exemptions” from bans are more likely to go to companies that have the ins to advocate for them.

Second, efficiency. What if the most efficient intervention for one family to stave off food insecurity is to grow a community garden? What if the most efficient way for another is access to transportation to a part of town with more job opportunities? What if the most efficient intervention for another family is allowing them to take part in programs like SNAP-Ed? Subsidizing grocery stores does not help any of those families. A more efficient approach would be to give cash to families and allow them to decide what to spend them on, an approach showing positive results across the country and world.

Third, unintended consequences. What if a subsidized grocery store runs others out of town? What if a car wash banned from a neighborhood means fewer jobs for local residents? These are possible occurrences that come from trying to put pressure on local economic development that isn’t centered on improving the well-being of residents.

The experts say that the best way to keep housing prices low is to reduce barriers to development, not increase them. They also say the best way to reduce poverty is to give resources to families, not make decisions for them about what they do with those resources.

How do we estimate the size of a black market?

Last year, Scioto Analysis published a cost-benefit analysis on Ohio’s recreational marijuana ballot initiative. One of the benefits we calculated was the consumer surplus that recreational marijuana users would receive in the marketplace. 

An individual’s consumer surplus is the difference between the price that they would be willing to pay for a good and the price that the good actually costs in the market. The total consumer surplus for a market is the sum of all individual consumer surpluses. Calculating consumer surplus lets us estimate how much value people are getting from a good defined by their own valuation of the good.

One of the challenges with using consumer surplus as a benefit is that we can’t say that the entirety of the legal market's consumer surplus is the benefit added from legalizing recreational marijuana, because there already was a black market that generated some consumer surplus. 

To come to an accurate estimate of consumer surplus, we should be measuring the change in consumer surplus that results from legalizing recreational marijuana. The challenge with this is that we don’t know what the illegal market for recreational marijuana looks like. 

That is the topic of a new working paper published by the National Bureau of Economic Research. The economists who authored the paper are concerned with measuring the market for menthol cigarettes under a hypothetical ban. Menthol cigarettes have become a topic of focus since the FDA first proposed a rule to prohibit them in 2022.

These researchers used data from a discrete choice experiment where smokers were asked about what products they would use under certain menthol-ban scenarios. Respondents were given four product choices, non-menthol and menthol cigarettes and e-cigarettes, and the option to say they would quit smoking. The scenarios they were presented with varied on the prices of those products and their legality. 

For example, one subject might be presented with the scenario of a full ban, but prices for menthol cigarettes remain low and as a result, they might continue to purchase and use menthol cigarettes illegally. 

The result of this discrete choice experiment is a mixed logit model that allows the researchers to understand how a menthol cigarette ban might affect people’s decision to continue to smoke. The researchers found that if menthol cigarettes are banned but menthol e-cigarettes are not, then the demand-side for an illegal menthol cigarette market would be between 59% and 92% the size of the current market. If both menthol cigarettes and e-cigarettes are banned, then the demand-side of the menthol cigarette market would be between 69% and 100% the size of the current market. 

Although this result suggests that there would still be a robust demand for menthol cigarettes with a ban in place, the researchers also found that this ban would lead to smokers attempting to quit at a rate 14% - 28% higher than currently. The authors cap their paper off with a brief cost-benefit analysis that finds that because the demand remains quite high for menthol cigarettes, a ban would actually have higher costs than benefits. This is because not many smokers would quit, meaning the avoided externalities are quite small, and the people who continue to use the now illegal cigarettes are burdened by much higher prices. 

One notable area this experiment is unable to address is the effect that banning menthol cigarettes might have on preventing new smokers, especially children, from ever entering the market. However, this framework for identifying the demand-side of a black market could prove extremely useful for future research on banned goods. 

Ohio economists split on impact of cigarette taxes

In a survey released this morning by Scioto Analysis, Ohio economists were split on what they believed the impacts of raising Ohio’s cigarette tax to match Michigan’s would be. In December, the State Legislature voted to override Governor DeWine’s veto of a bill that would restrict cities from regulating flavored tobacco products. Given that Ohio has the fourth highest rate of cigarette use according to the CDC, lawmakers might consider taxes as a market-based method of regulation.

Of the 23 economists surveyed, 15 agreed that the increase in taxes would lead to significantly higher prices for consumers. However, only eight economists believed that these prices would lead to significant reductions in cigarette use. 

Kathryn Wilson from Kent State agreed that this tax increase would reduce cigarette use, and wrote “Studies have shown that higher cigarette prices reduce the likelihood that youth will begin smoking and reduce cigarette consumption among youth. The results for adults are generally not as strong. I agree that the tax would likely result in a reduction in cigarette consumption, particularly among youth, but I don't know that the tax increase would be enough to significantly reduce consumption overall.”

Curtis Reynolds from Kent State disagreed with this statement, saying “Research is clear that demand for cigarettes is very inelastic, so increases in prices does not lower cigarette consumption much (an older literature suggested larger decreases for teenagers but more recent studies find smaller effects).  Depending on which estimates you look at, this tax might reduce cigarette consumption by about 1-5%. And there is strong evidence of tax avoidance (casual smuggling from other states) which would further lower the effects towards zero.”

In addition to the market effects of a cigarette tax, 12 economists agreed that increasing the tax would lead to some health benefits for Ohioans. As Robert Gitter from Ohio Wesleyan wrote, “any reduction in smoking, no matter how small, will lead to fewer health problems.”

The Ohio Economic Experts Panel is a panel of over 40 Ohio Economists from over 30 Ohio higher educational institutions conducted by Scioto Analysis. The goal of the Ohio Economic Experts Panel is to promote better policy outcomes by providing policymakers, policy influencers, and the public with the informed opinions of Ohio’s leading economists. Individual responses to all surveys can be found here

Texts or Online: Where should we invest in smoking cessation?

Earlier this month, my colleague Rob Moore wrote a commentary for the Ohio Capital Journal asking what can be done about cigarette use in Ohio. Although it doesn’t get nearly as much attention as other public health crises, smoking is responsible for more deaths annually than HIV, illegal drug use, alcohol use, car crashes, and guns, combined.

Tobacco use is a particular problem in Ohio. According to the CDC, Ohio has the fourth-highest rate of cigarette use in the country. Fortunately for Ohio, there is a lot of research exploring how to reduce cigarette use. The challenge for local policymakers is to figure out what the best evidence based approaches are. 

One resource available for local leaders is the Community Guide. The Community Guide is a publication from the Community Preventive Services Task Force, an organization of academics and medical doctors convened by the Department of Health and Human Services. 

The Community Preventive Services Task Force reviews the research on areas of public health and makes recommendations for community leaders based on that evidence. One topic they’ve undertaken is evaluating evidence-based ways to decrease tobacco use.

One policy option that there is strong evidence for is text messages targeted towards people who want to quit smoking. A systematic review of text message interventions found that they increased smoking cessation rates by a median of 2.3 percentage points. When combined with other smoking cessation interventions, text messages were able to increase smoking cessation rates by as much as 4.4 percentage points. 

Another policy the Community Preventive Services Task Force reviews is internet-based smoking cessation interventions. Unlike text message interventions, the Community Preventive Services Task Force only believes that there is “sufficient evidence” to support these types of interventions, as opposed to the “strong evidence” designation given to text messages . According to appendix five of their methodology page, this means that despite the fact that the research seems to indicate that the outcomes are quite good, the panel members had problems with the methods used by the initial researchers. 

Internet-based smoking cessation interventions were slightly less effective than text-based interventions, only increasing smoking cessation rates by 1.2 percentage points. When looking at only the studies conducted in the United States, this increase in smoking cessation rate fell to only 0.1 percentage points. 

This is not to say that text message interventions are strictly superior to internet-based interventions. It could be the case that a local government already has the infrastructure in place to provide internet-based smoking cessation interventions, and could introduce this policy change at almost no additional cost. 

For local governments with extremely tight budgets, this could be a superior option to building out the capacity for text-message based interventions. No matter what, policymakers need to have access to this kind of information in order to make those decisions. 

If Ohio is serious about addressing its smoking problem, looking at the interventions outlined by the Community Preventive Services Task Force would be a great place to start. Hopefully local policymakers can learn from these studies and improve the state’s public health.

Suicide is on the rise in Ohio

This article is about suicide. If you or someone you know needs support now, call or text 988 or chat 988lifeline.org.

Five Ohioans die of suicide every day.

This is just one of the many data points released in a new publication released last week by the Health Policy Institute of Ohio. This data snapshot focuses on the prevalence of suicide in Ohio and how incidence has changed over time.

Below are some of the top findings from the release.

Suicide is a leading cause of death for working-age Ohioans.

Over 1,400 Ohioans died from suicide in 2022, the most recent year we have data for. This makes suicide the fifth-leading causes of death for working-age Ohioans, behind unintentional injuries like drug overdose and motor vehicle crashes, cancer, heart disease, and COVID-19.

Ohio’s suicide death rate is 15 deaths per 100,000 people, just slightly above than the national rate of 14.5 deaths per 100,000 people.

Suicide victims are disproportionately white, male, working-age, and Appalachian.

In 2022, 17 white Ohioans died from suicide per 100,000 population, higher than the rate of 12 for Black Ohioans, 10 for Hispanic Ohioans, and 7 for Asian Ohioans. Men were also four times likely to die from suicide than women. This is despite the fact that women attempt suicide at a rate 70% higher than men.

Suicide rates were highest in 2022 for working-age adults, higher than the rate for young adults, retirement-age adults, and children. Suicide was most common in Appalachian counties, with 15 of Ohio’s 22 counties with the highest suicide rates located in Appalachia.

Suicide is on the rise–for nearly everyone.

Since 2007, suicide rates have increased for men and women, white, Black, and Hispanic Ohioans, and Ohioans in every age group. The only major demographic group that has seen a flat suicide trend are non-Hispanic Asian or Pacific Islander Ohioans.

Risk factors for high school students are also becoming more common.

Compared to 2019, female Ohio high school students were more likely in 2021 to feel sad or hopeless, seriously consider suicide, make a plan to commit suicide, or attempt suicide. While more male high-school felt sad or hopeless and seriously considered suicide over that time period, fewer made a plan or attempted suicide. The increase in suicide plans and attempts among female students was much larger than the decrease among male students.

The increase in suicide rate is driven by firearms.

Suicide deaths involving a firearm increased 60% from 2007 to 2022. This accounted for 75% of the total increase in suicides over that time period. The remainder of the increase was driven mostly by an increase in deaths by suffocation and other causes. Deaths by poisoning decreased over that time period.

Suicide is a hard social problem to make progress against. That being said, the Health Policy Institute of Ohio suggests interventions to improve mental health to prevent suicide attempts.

A 2016 evidence review published in the American Journal of Psychiatry concluded legislation reducing firearm ownership lowers firearm suicide rates. It also acknowledged, however, that court interpretations of the second amendment to the U.S. Constitution have made most legislative options for reducing firearm ownership politically unfeasible in the United States.

The researchers however, say targeted initiatives like gun violence restraining orders, smart gun technology, and gun safety education may be able to reduce risk for current gun owners. These sorts of approaches do not have a strong evidence base yet, but they at least give us something to tackle this difficult problem.

This commentary first appeared in the Ohio Capital Journal.

What is Cantril’s Ladder?

There is a disconnect between how the general public is doing and how policymakers assess how the general public is doing. If a friend asked “how are you doing today,” it wouldn’t make sense to respond by telling them how much stuff you have.

That doesn’t mean how much stuff you have is a useless piece of information. It might be correlated with how you are doing, but it’s not the whole picture. But this is what policymakers are appealing to when they use the standard slate of economic indicators to determine how well society is doing. 

At Scioto Analysis, we want policymakers in the United States to start directly asking their constituents how they are doing. In the academic world, we call these types of questions subjective wellbeing measures

The goal of subjective wellbeing research is to find a way to scientifically measure how people believe their lives are going, and determine what factors influence their own subjective assessment. A good example of this is the United Kingdom’s Office for National Statistics’ wellbeing research.

One of the earliest examples of a well defined subjective wellbeing measurement is Cantril’s Ladder, first proposed by Hadley Cantril in his 1965 book “The Pattern of Human Concerns.” Cantril’s ladder is an example of an evaluative measure. Evaluative measures are designed by researchers to try to generally understand life satisfaction among a population. 

Below is the adaptation of Cantril’s ladder used in the Gallup World Poll:

  • Please imagine a ladder with steps numbered from zero at the bottom to ten at the top. Suppose we say that the top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you.

  • If the top step is 10 and the bottom step is 0, on which step of the ladder do you feel you personally stand at the present time?

Cantril’s Ladder was an important addition to wellbeing research because it allowed respondents to define the upper and lower rungs of the ladder themselves. This means that by combining the results from the ladder with outside data, researchers can see what factors associate with people rating their wellbeing highly. 

This is different from simply looking at income or health directly because it allows the respondents to indirectly say how valuable those things are. This information allows us to better understand what actually makes people happy.

One addition to the ladder that Gallup uses in their polling is the addition of a future wellbeing question. Specifically, they ask “on which step do you think you will stand about five years from now?”

This additional question can be useful for fully understanding how well our society is doing. For example, if people are reporting high levels of current wellbeing, but low levels of expected future wellbeing, we might be more concerned than if many people are going through a rough patch, but expect to be doing much better soon. 

Subjective wellbeing data can be an extremely useful tool for policymakers in the United States to have. In 2022, the grassroots organization Gross National Happiness USA released the US happiness survey, a first of its kind look at subjective wellbeing across the US. Currently, We are working with a group of students from Ohio State to conduct a wellbeing survey in Ohio. Hopefully this kind of research can encourage policymakers to seek out this data.