Category: Urban Policy

Policies We Should Be Talking About – in 500 Words or Less

What policies should be undertaken to improve society? I would hope that would also be the fundamental question of politics, but it often seems to take a backseat to “how do we obtain and hold political power?”

Nonetheless, I like to push back against that worldview, and I hope this blog has somewhat succeeded at doing so. Efficient Advocacy is a way to answer the question of what policies should be undertaken to improve society, while Artificial General Intelligence and Existential Risk analyzes why we might be concerned about extremely high impact, although unlikely, events. There’s also a good discussion of the various aspects to consider when choosing where to expend resources and effort: is the policy widely known or discussed, is it popular, do candidates take a position on this issue, should political processes themselves be reformed before the policy can be implemented?

This post is going to be the first in a recurring group of posts discussing various good policies. For the most part, these posts will discuss policies that are outside of the main political discourse, but ought to be discussed more. I’ll try and note why they may or may not be politically tolerable, but I’ll also try and keep each policy discussion very brief, to 500 words or fewer, with three policies in each post. I’m not ruling out that policies will repeat, but that will depend on the frequency of posts and how good the policies are. Many of these policies may be new or incomplete, but all discussions start somewhere.

Nominal GDP Futures Targeting

The Federal Reserve is the most important institution for macroeconomic stabilization policy. It is not particularly political, it can react quicker than Congress, and it controls the money supply for the most widely used currency in the world. The 1977 Federal Reserve Reform Act gave the Fed the goals of price stability and maximum employment in what is known as the “dual mandate”.  However, these particular goals are often at odds, which means the “correct” policy the Fed should be taking isn’t obvious.

The 90s saw the rise of the Taylor Rule, although Milton Friedman had argued for a rules-based policy regime long before this. The Taylor Rule isn’t an exact rule, but it is an attempt to codify monetary policy to stabilize prices, increasing the real interest rate in response to inflation, and thus targeting a specific inflation level.  Nominal GDP targeting, on the other hand, doesn’t target specific interest rates, but levels of spending in the economy. Scott Sumner, and others at the Mercatus Center have argued that the Taylor Rule is inferior to Nominal GDP targeting because the Taylor Rule relies on retrieving more information, specifically both inflation and the “gap” between real and potential economic output. It’s argued that Nominal GDP is much simpler to get data on in real time, allowing the Fed to apply monetary policy with better understanding of the economy’s current state.

Additionally, NGDP targeting can be enhanced with futures markets, allowing the Fed to have direct feedback from the market on the expected levels of NGDP growth. This helps to solve the Hayekian knowledge problem, by pulling as much data as possible into a single market price. NGDP is also beneficial in that it doesn’t target specific interest rates, just spending levels, so in a low-interest rate environment, like the 2008 recession, the Fed would have had a rule to help guide the level of quantitative easing, instead of just shooting in the dark and hoping it would work.

So what is the political status of this policy? Well it’s pretty technical and so I doubt any voters have or could be persuaded to have much of a view on this. That also means it doesn’t have much political opposition, although conservatives interested in monetary policy don’t love it. The actual legislation that would need to happen would probably revolve around the legalization of NGDP Futures markets, which would essentially be speculative gambling on government data collections. Luckily, from the Fed’s perspective, policy change requires no legal hurdles; the Taylor Rule is a self-imposed policy goal that could be exchanged for NGDP targeting as soon as Fed officials are convinced of its benefits.

To convince them, here is some further reading:

Social Security Identity Theft Reform

Social Security wasn’t meant to be a national ID program, but because it is the only national program everyone is guaranteed to be enrolled in, it has become the de facto national ID number. SSNs can’t be revoked easily like credit cards, they weren’t assigned randomly until 2011, and they are used for authentication despite being universally stored, subjecting them to serious security issues. Identity theft is thus a major problem.

The solution is to make SSNs a public/private key pair. For a 5 minute intro on Public Key Cryptography, check out my post on encrypted communication apps. The basics of SSNs wouldn’t need to change. This cryptography system would utilize a particular type of Public Key Cryptography called Elliptic Curve Cryptography; the only reason this detail is important is that in ECC, any number can be a private key (as opposed to only prime numbers) and keys can be relatively short and human memorizable. I would recommend new SSNs with at least 12 digits to make them harder to guess. SSNs don’t have a checksum digit, so I’d recommend adding that as well.

The technical details of how people would use this number to authenticate themselves would be with the application of the Elliptic Curve Digital Signature Algorithm. For an average person, all that needs to be known is that this algorithm is standardized, like sending a message to an e-mail address; any computer can send a message without it mattering what the message says, since “sending an email to an address” is something all computers know how to do. When a person has to prove who they are to a company or the government, instead of the organization checking their SSN against a database, the person will type in their private SSN, the computer will compute a digital signature, and that will be sent to the organization. The organization would compare the signature to the public key of the person to validate they are who they say they are.

How will they know the public keys? Unlike private keys, public keys can be published freely, so the Social Security Administration can maintain a public database of public keys without issue. Digital signatures can only be computed with private keys, which should be kept secret. The benefits arise because organizations can hold signatures in their databases instead of private keys. Stealing a signature in a data breach would do nothing; today losing SSNs is equivalent to losing your private keys. Problems that could arise involve lack of knowledge on the part of organizations, which could mistakenly store private keys instead of signatures. However, this is already the problem today, so things can only get better.

Potential political pitfalls involve people believing this would be a national ID number, even though SSNs already are, and that it’s difficult to update systems for better security.

Increase the Housing Stock in US Cities

This idea was taken from the Niskanen Center’s Wil Wilkinson, in his response for the single best policy to reduce inequality in the United States. Wealth inequality doesn’t concern me too much, but this policy would solve inequality by improving the options of those least well off, allowing them to move to high productivity cities where high paying jobs are. Wilkinson’s piece is already pretty short, so I’ll be quoting it a bit here.

Wages have barely budged in decades, yet housing costs have soared in the bigger cities in which most Americans live, because restrictive municipal zoning and land-use policy have prevented housing supply from keeping up with demand. When rent takes an ever-larger chunk of workers’ paychecks, savings and wealth accumulation rates go down.

Additionally, the restrictions on housing have caused massive losses in productivity. Chang-Tai Hsieh and Enrico Moretti suggest in this paper that the inability of labor to relocate to high productivity cities has significant effects on GDP growth rates, leading to pretty massive losses in potential productivity. Andrii Parkhomenko suggests that federal policy that incentivizes localities to deregulate housing supply would have a pretty sizeable impact on growth rates. Going back to Wilkinson, he details what this policy might be:
If I were king for a day, I would dangle a huge pot of federal infrastructure money in front of states, and then condition those delicious, fat federal grants on big cities in those states hitting growth targets for housing supply. If big cities fail to add new housing stock fast enough, they and the states they are in will lose many, many, many billions in federal funds for new and upgraded infrastructure.
So why isn’t this happening now? Wilkinson continues:
The political power of NIMBY-ism (“not in my back yard”) has made it nearly impossible to tackle rising housing costs, and the wealth inequality it produces, at the municipal level. But a federal lever can offset the self-seeking forces of NIMBY-ism by giving city and state governments a strong incentive to cut the red tape that keeps housing supply lagging so far behind demand.
I’m skeptical that it will be straightforward to get a federal bill like this passed, although it will probably be easier than in local municipalities. The potential benefits here are far too great to be ignored, but it’s disappointing housing policy isn’t a major issue for most voters today.

 

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Urbanization and Free Markets

I’m not an environmentalist. I find global warming problematic because it will likely make living on Earth more expensive for humans. Preservation of natural resources is not inherently important to me because I don’t find it morally wrong to consume these resources at high levels. Nonetheless, it could be valuable to preserve natural resources if there is a tragedy of the commons where resources are underpriced by the market and are thus being inefficiently overconsumed. I also think humans tend to enjoy at least visiting and observing pleasant natural land and seascapes, but it only makes sense to preserve them to the extent of which the value of observing these natural areas outweighs their economic value in improving human lives through development.

Unfortunately, I find a lot of the arguments for urbanization tend to emphasize the environmental benefits. These types of arguments will not do well in convincing libertarians that they should also promote urbanization. The goal of this post is to present an argument for libertarians, classical liberals, and free market economists on why they should be interested in urbanization and urban policy.

Cities

Cities are a vital part of human civilization due to specialization, economies of scale, and network effects. You can’t build a hospital with specialized departments and research facilities in a town of 100 people. You can’t make an engineering startup in a town without stores that sell specialized equipment. You can’t teach specific niche courses in cryptography if your city can’t support a university large enough to have advanced Math and Computer Science departments.

Cities also provide more for their inhabitants to consume due to economies of scale. Cities have more diverse food and cultural entertainment like museums, concerts, or festivals. These experiences are also in constant competition, spurring innovation. We think of cities as being more expensive than living in the country, but that’s somewhat misleading; diverse experiences are available in cities rather than rural areas because they can only be provided cheaply in cities. The selection of products is much narrower in less densely inhabited areas. In cities, supply chains can focus on getting tons of varied products to a single location where everyone lives, rather than transporting fewer standardized products across a giant area. The internet is a mitigating factor to some of this, but it’s also true that you can’t get continued technological innovation without concentrating innovators in cities!

There’s another important point about cities from a libertarian or postlibertarian perspective: they offer anonymity and individuality. Cities pack enough people into an area that you can make choices about your social interactions. Unlike a small town where your personal relationships are limited by geography to the few people in the town. It is far more likely you can meet with others that share your obscure interests in a large city rather than a small town. You’re not forced to conform to what your few neighbors believe are acceptable social behavior or beliefs. Diverse cities allow for varied cultural norms, and I’d argue increased tolerance.

The policies and discussions surrounding urbanization and urban planning have mostly been driven by those on the political left. Their political enemies, the Red Tribe (for more explanation, see section IV of I Can Tolerate Anyone Except the Outgroup), is often identified by its opposition to rich urban elites. Libertarians themselves have streaks of this disdain for progressive cities and yearning for an idealized Jeffersonian yeoman farmer nation, where everyone lives on their own separate plots of land and does as they please. But postlibertarians and the Grey Tribe should not cede urban policy to the left so easily; cities are largely vital for the economic reasons I’ve put forward. While today they are often bastions of progressive politics, cities are too important to be left to be governed by the ideas of a single political group.

Dense Cities

Since there are benefits to people who live in cities as described above, it seems to follow that denser cities might emphasize those benefits to a greater degree.

The economic argument seems to make sense here: if cities concentrate people, denser cities should concentrate logistical costs. That means less investment cost in infrastructure per person and less cost to deliver a larger amount of physical goods to the same people. There should be better economies of scale for transportation when cities are packed together. Another interesting benefit might be that with locations closer together, fewer people would use cars, so there would be less total hours wasted in traffic for a city of similar size but lower density. Perhaps this would be offset by longer total transportation time since walking is slower than driving. Certainly it seems that fewer people would die in car accidents at least.

Another benefit specifically for libertarians might actually be fewer road square footage per person. Roads are expensive, are often centrally managed by the city, and so don’t respond to price signalling. Optimal road work is thus not easily achievable, leading to poorly timed construction (overabundance of construction due to road opportunity cost not being priced) or not enough road repairs (too little construction due to no consumer payment for roads). Narrower streets specifically would essentially privatize space in a dense city, space that is highly valuable.

There is also a little bit of anecdotal evidence for cultural benefits of dense cities too. For example, we might expect denser cities to have more people from an odd subculture willing to meet than the population of the city might suggest (due to close proximity). As an example, let’s use Slate Star Codex’s series of local meetups earlier this year. If we expected SSC meetup populations to be based solely on total population, we’d see it match the US Census’ Core Based Statistical Area ranking: New York, Los Angeles, Chicago, Dallas, Houston, Philadelphia, Washington, Miami.

If we expected denser cities to show the social/cultural benefits to a greater extent than spread out cities, we should expect the SSC meetup populations to more closely match the population density of top cities. Unfortunately there’s no exact definition for a dense city. The simple way to define it is total population within a city’s political borders divided by the land area under that polity. However, cities usually extend beyond the political boundaries specifically because those municipal governments get in the way. If we go by this definition, the top US cities should be New York, San Francisco, Boston, Chicago, Philadelphia, and Miami. Now this actually matches the top SSC American cities pretty well, with the exception of Miami which didn’t meet the 10 person minimum despite being in the top seven cities in both total population and density. Another way we can represent density is through the number of high density areas in each metropolitan area. This yields in order: New York, Los Angeles, Philadelphia, Miami, Boston, Chicago, San Francisco.

There are obviously other factors at work in the SSC meetups including culture of the city (Silicon Valley/startup culture is probably the best predictor of SSC readers, as we see small Silicon Valley towns like Mountain View on the list) as well as a number of English speakers (explains why dense foreign cities are not high on the list), and college degrees. This last point is interesting. This article discusses how denser cities only seem to realize productivity gains in high human capital situations. Finance, technology, and other professional industries requiring higher education stand to gain from higher density cities. One question then is whether college graduates are attracted to dense urban cores or whether urbanization simply occurs around where college graduates tend to be (around universities?). To me it seems that cities clearly predate modern universities and college graduates. The establishment and growth of cities seems fairly organic, emergent, and spontaneous.

Too Dense?

This brings us to the next point: cities don’t require urban planning to exist. Humans are completely capable of decentralized self-organization of urban areas, and cities existed and continue to exist without strong municipal governments, zoning laws, building codes, etc. Nonetheless, with close quarters comes externalities, and so governments arguably have a lot of benefits to offer residents of cities over not having governments. Yet, as urban economist Issi Romem writes, American cities tend to expand outwards, and those cities that don’t expand geographically see large cost of living increases. Relatedly, as this Forbes piece points out, many of the highest density cities in the world (Dhaka, Delhi, Karachi, Mumbai)  are also relatively poor. Cities can be rich, but density doesn’t seem to be a requirement for being rich. In the U.S., most new housing comes from urban expansion, not density increases. This seems to beckon that it is not only cheaper to expand at the outside of cities than it is to expand the interior of cities, but more desirable to residents. Given the benefits of cities and density, how could this be?

One possibility is that it could be more expensive to bring goods into a city center than we thought. Maybe economies of scale don’t work as well due to increased traffic. I don’t have much evidence for that, but I guess it’s possible. This seems unintuitive though, as living in the suburbs means dealing with much more driving and traffic anyway.

However, some goods don’t need to be transported into the city…like housing. Once it’s there, it is consumed slowly over time. Yet rent is fairly correlated with density.  I don’t have good data on it, but I took at look at padmapper.com in a couple cities that I knew the general density of. I took the price slider and noted where the high priced places were compared to the low priced areas. It wasn’t a perfect correlation, but it did match my general feeling that more density was associated with higher prices. So if we assume that a housing market is in equilibrium, differences in price for dense and non-dense areas indicate on the demand side that there are plenty of people who would prefer to live in urban dense cores over suburbs given the same price.

Next, on the supply side, differences in price between dense and non-dense areas indicates higher marginal cost in dense areas compared to less dense areas. So what is driving that cost?

Certainly more complex tall structures are needed for dense living, although part of that cost is spread over many more inhabitants. Additionally, there is more reliance on public transportation infrastructure than is needed in the suburbs, which might lead to higher taxes to pay for it. However, other infrastructure costs are lower per person in the city than in the suburbs (lower fixed costs to build water, sewage, electrical, internet, and roads because they scale largely with horizontal distance, which is minimized in a city). Additionally, if cities are supposed to help make people more productive then we might hope similar tax rates would bring higher revenue in dense cities than suburbs.  It’s hard to know then whether tax burdens should be higher in cities, but it seems colloquial wisdom believes they are (high density cities don’t seem like low tax areas). I did find this 2005 paper from Harvard indicating that multi-family buildings (apartments) had a higher tax incidence than individual family homes. Moreover, as Stephen Smith at Market Urbanism pointed out, much of that local tax money goes to roads and schools, things denser urban dwellers likely use at lower rates than suburbanites. Finally, the federal mortgage interest tax credit further makes housing cheaper for suburbanites over urban core residents.

Free Market Perspectives

So while it’s possible to say that it simply costs more to live in a dense city, it’s also true that government seems to cost a lot in cities. Perhaps that’s a necessary part of living in cities, but if we leave urban policy as the sole domain of the Left, there will be no counterbalancing philosophy that understands market forces. Without that check, government will cost more than its benefits.

Moreover, raising tax revenue and providing services are not the only functions of municipal governments: they also create regulations, which are another way they contribute directly to the cost of living in cities. Here it seems there is little nuance to be had: most high productivity cities have far too restrictive housing regulations. This has reduced the ability of labor to relocate to more productive areas of the economy, and according to this NBER paper, has allowed for massive missed opportunities in economic growth. And this makes intuitive sense; over time, technology should allow us to build denser and denser cities more cheaply, yet new housing in some of the most productive cities has not kept pace with demand. The explanation must be regulatory hurdles on new housing.

Such an outcome squares well with the common opposition to urban development known among the urban policy community with the pejorative NIMBY (not in my backyard), and it applies not just to housing, but to any development in a city. Elected municipal governments are responsible to the people who live in the city at present, not to possible future citizens. While this may seem just, it is emphatically a net negative in a utilitarian calculation; improvements in human lives should not be discounted based on where that human lives. Policy that makes it harder for people to move to a city to make it denser, when those people want to move there, creates worse outcomes than we would otherwise have.

Finally, let’s take a step back: I’m not saying that people have to live in dense urban cores; people should live wherever and however they would like to. I’m saying that governments can mismanage urban policy in ways that prevent people from moving to where they would actually want to go. Bad policy changes the nature of cities and reduces the potential benefits they can bring. Because urban policy tends to rely significantly on some state intervention, I find that there is not a plethora of free market urbanists. Nonetheless, cities are an important part of the modern human experience and they will continue to be in the future. Libertarian perspectives have much to offer urban policy and it would be a shame to abandon it to the left.

 

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Metacontrarian contributed to this post.