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Posts Tagged ‘migration’

Nick Gillespie notes in a recent post:

[I]f working on Reason Saves Cleveland taught me one thing, it’s that there’s no simple solution to urban decline. Some of it is simply historical – the Northeast is not going to dominate American business and culture that way it did 100 years ago and cities such as Cleveland or Buffalo or Detroit will never regain their earlier populations or the density at which they lived…

But it’s also clear that private and public sector boosters are always more interested in laying big bets on giant development deals that won’t transform a city or region even if they happen to work out perfectly. What makes and keeps places livable and attractive are the smaller-ticket items, such as quality of basic services such as roads, law enforcement, business climate, schools, taxes, and regulations. These aren’t sexy items but they are the things that actually keep cities thriving.

I think Nick’s right that policy fixes will not be enough to restore places like Buffalo to past glories, though New York’s high-cost regulatory regime does harm upstate New York. International economic factors have made most of the U.S. Rust Belt uncompetitive: their legacy industries are in long-term decline.

This observation might seem to pose a problem for economic theory. The theory of comparative advantage shows that every economy benefits from free trade with the rest of the world, a conclusion that “new trade theory” has not overturned. But what about America’s former industrial heartlands? Surely they have lost out to competition from Japan and China (and Tennessee).

But in fact, Buffalo has benefited from comparative advantage and trade with the world. If Buffalo enacted trade barriers to Japanese and Chinese goods, Buffalo’s people would be worse off. Buffalo’s industrial decline happened not because Buffalo firms could no longer sell to Buffalo consumers, but because Buffalo firms could no longer sell to American consumers. The Rust Belt used to have a captive consumer audience; their potential Asian competitors were shut out of a relatively sheltered U.S. market (in part not because of trade barriers or even high shipping costs, but because in global context in the 1950s, Buffalo’s economy was capital-intensive and its labor force highly skilled). In that environment, Buffalo firms could compete. So yes, Buffalo might well be better off if the U.S. shut out foreign trade in automobiles, cereal, and other goods still manufactured in the area. In the same way, the U.S. might be better off if all of the Americas, say, shut out non-U.S. imports of semiconductors and wheat, but that does not mean the U.S. would be better off shutting out those imports on its own. (Arguably, preferential trade agreements like NAFTA and CAFTA are precisely aimed at giving U.S.-made goods an advantage over the Japanese and Europeans in nearby countries.) In the end, then, there seems to be no problem for the theory of comparative advantage. The theory does not say that the best of all possible worlds for every economy is a situation in which every other economy is free-trading. The terms of trade still matter.

But there remains a subtler problem for comparative advantage in the experiences of Buffalo, Detroit, Cleveland, and Pittsburgh. Why have these cities seen net out-migration as a response to changing economic fortunes? The theory of comparative advantage suggests that in response to growing trade, people will retool and start to specialize in new lines of business. Moving away just isn’t part of the model. So why has the Buffalo metropolitan area lost people in every decade since the 1960s?

To answer this question, we need to look to transaction cost economics. A transaction cost is the cost associated with a particular exchange, the toll you have to pay just to be able to make a trade, in addition to the price you pay for the good or service itself.

Trade in goods and services, movement of capital, and movement of labor (migration) are all substitutes, in that they have essentially the same distributional and aggregate consequences, in the absence of transaction costs. But each of these types of transactions does face some costs. Trade in goods and services faces shipping costs, but there are also problems with trading goods when contracts are unenforceable or there are monopoly markets. In these cases, you might be better off investing rather than trading. For instance, Nike knows something special about designing and marketing footwear. Why don’t they just sell their good ideas to startup manufacturers in Vietnam? Because it’s difficult to enforce that kind of contract in ideas: what ideas exactly would the startup be buying, how could it evaluate their worth without examining them before buying, and if they examine them before buying, what’s to stop them from using the ideas without paying? Because of these problems, Nike chooses instead to direct-invest in Vietnam, building its own factories.

Direct investment faces transaction costs too: risks of expropriation, difficulties in managing across continents, etc. So sometimes firms trade rather than invest.

And workforces migrate. Why? Because transaction costs in trade and investment limit the extent to which those mechanisms of globalization can raise workers’ incomes. In the 19th century, European workers moved en masse to the New World because globalization wasn’t raising their wages fast enough. Shipping costs were high, though falling, and multinational investment was rare outside a few industries like railroads, mines, and large-scale agriculture concerns. Moreover, total factor productivity was lower in many European countries because of their dysfunctional political systems. It’s no accident that so many Italians, Germans, Irish, and Poles fled their homelands in the latter half of the 19th century, while comparatively few French, Swiss, Dutch, and even British (considering their common language with their former colonies) did so.

So why have workers fled Buffalo? The introduction of air conditioning has made southern climates more pleasant, to be sure, but Sioux Falls, South Dakota is colder than Buffalo and has actually attracted people. Buffalo has a comparative advantage now in relatively low-tech, labor-intensive manufacturing, by developed-world standards, rather like, say, Tennessee. But Tennessee attracts foreign direct investment, while upstate New York does not, even though upstate New York has had a workforce already trained in industries like auto parts manufacturing. Here we can look for policy explanations: politicians impose transaction costs that prevent workers in upstate New York from exploiting their comparative advantage. Favorable conditions for collective bargaining and expensive business regulations may not hamstring the financial economy of Manhattan, but they do harm upstate New York. Tennessee and South Dakota lack those regulatory obstacles.

So there we have it: in the absence of New York’s heavy regulatory burden, globalization would still have caused upstate New York incomes to decline, but net outmigration probably would have been significantly less.

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I have just posted a couple of my working papers to SSRN for those who are interested. They are as follows:

  1. Public Policy and Quality of Life: An Empirical Analysis of Interstate Migration, 2000-2012
    Abstract:
    Individuals and households choose their political jurisdiction of residence on the basis of expected income differentials and jurisdiction-specific characteristics covered by the general term “amenities.” In addition to fixed characteristics like climate and terrain, amenities may include public policies, as in the well-known Tiebout model of migration. Do Americans reveal preferences for certain public policies by tending to migrate toward jurisdictions that offer them? This article tests whether state government involvement in fiscal policy, business regulation, and civil and personal liberties more often reflects an amenity or a disamenity for Americans willing to move. As identification strategies, the article estimates spatial, matched-neighbors, and dyadic models of net interstate migration for all 50 states, covering the years 2000-2012. The evidence suggests that cost of living, which is in turn strongly correlated with land-use regulation, strongly deters in-migration, while both fiscal and regulatory components of “economic freedom” attract new residents. There is less robust evidence that “personal freedom” attracts residents.
  2. Civil Libertarianism-Communitarianism: A State Policy Ideology Dimension
    Abstract:
    This paper investigates the existence of a second dimension of state policy ideology orthogonal to the traditional left-right dimension: civil libertarianism-communitarianism. It argues that voter attitudes toward nonviolent acts that are sometimes crimes, particularly weapons and drugs offenses, are in part distinct from their liberal or conservative ideologies, and cause systematic variation in states’ policies toward these acts. The hypotheses are tested with a structural equation model of state policies that combines “confirmatory factor analysis” with linear regression. The existence of a second dimension of state policy essentially uncorrelated with left-right ideology and loading onto gun control, marijuana, and other criminal justice policies is confirmed. Moreover, this dimension of policy ideology relates in the expected fashion to urbanization and the strength of ideological libertarianism in the state electorate. The results suggest that the libertarian-communitarian divide represents an enduring dimension of policy-making in the United States.

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In Freedom in the 50 States, we present some statistical results on the association between the three dimensions of freedom — fiscal, regulatory, and personal — and “net interstate migration,” that is, the number of movers into a state from other states minus the number of movers from a state to other states, divided by initial population. We found that all three dimensions are positively associated with net in-migration, usually statistically significantly so. Moreover, the substantive importance of the associations is large. A half-point increase in each of the three dimensions, measured in 2001, is associated with between two and five percentage points more in-migration from 2000 to 2011, as a percentage of 2000 population.

The results seem to imply that Americans value freedom and are willing to vote with their feet for it. Of course, some freedoms are not very plausibly related to migration. Tobacco, alcohol, and gambling laws can be evaded through travel or the black market. It seems unlikely that very many people at all will move from New York simply because of the high cigarette taxes. There are cheaper alternatives. And some freedoms with high symbolic importance, like eminent domain reform or legalization of sodomy (prior to 2003), are unlikely to drive anyone to move, simply because so few people are likely to suffer from their denial. Sodomy laws were almost never enforced, and eminent domain for private gain is rather rare even where totally unregulated.

But some other freedoms are plausibly related to migration. People definitely consider tax burden in their choice of a new home. Business regulation can dampen job opportunities, and people tend to move where the jobs are. Medical cannabis users move where their medicine is legal; gun enthusiasts move where their lifestyle is respected; same-sex couples move where they have legal rights; home-schooling parents move where they can educate with less state control.

In this blog post, I explore some other ways of testing whether the relationship between freedom and migration is causal. The first technique is something I call “matched-neighbors analysis.” The independent variables here, including freedom, represent the value of the variable for the given state minus the average value for its neighbors (technically, the weighted-average value, where the weights are the neighboring states’ populations — I’ve also tried using a pure average, with nearly identical results). This procedure is called “spatial differencing.” So the notion here is that states that are freer than their neighbors will be more likely to see net in-migration. Let’s see if that’s true.

First, some specs: regressions include all 50 states (unlike the results with just the Lower 48 included in the F50S study), all independent variables are standardized to mean zero and standard deviation one (so that the coefficient estimates represent the effect of a standard-deviation change in each variable), and the dependent variable, net migration, is measured over 2000-2012 instead of just 2000-2011 as in the original study. Here are the results: (more…)

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Last time I was here, I had a lot of fun teasing American libertarian readers, at least until the earthquake brought my guest blogging to an abrupt halt.

Support for liberty is a lot like support for GMO-free food. If you survey people, they’ll tell you how much they love it. They might even tell you it’s the most important thing in the world for them. But make them pay $0.50 extra to have it and they’ll choose the next product on the shelf. A few pay extra for the GMO-free tags, but if you’d probably be disappointed if you launched a GMO-free brand based on a survey of how much people claimed to hate genetically modified foods.

Jason Sorens and William Ruger have done great work in showing the substantial differences in experienced freedom across the 50 US States. A lot of libertarians live in New York; New York tends to come last in these surveys. Moving someplace that doesn’t keep trying to ban large sodas would mean giving up easy access to Broadway shows. It’s fine to be a pluralist and to weigh Broadway shows against personal liberties in some great personal utilitarian calculus, but it’s not exactly consistent with ‘Live Free or Die’ rhetoric.*

Absolute differences across American states are perhaps not large enough to make it worth moving. But if that’s the case, what are we to make of libertarian activism in the less-free states? It’s exceptionally unlikely that even the most effective activist in New York could move the state more than a point or two in the ordinal rankings, but that same person could take an oil job in North Dakota and move from worst to first while working there to help make North Dakota even better.

I’ve also argued, and often, that American libertarians should consider moving to New Zealand, which ranks first in the worldwide index weighing civil and economic freedoms. Why not choose to live free, or as free as is possible in the current world?

The Honours thesis I’m supervising this year will examine the price of liberty. The international ranking above gives a nice cross-sectional snapshot of differences in liberty across countries. Some of the measures can be extended backward in time. My student, Chris Read, is going to add these measures to international migration data to estimate the elasticity of migration flows to measured liberty and compare that elasticity to things like expected income differences across countries. Most people are messy pluralists; I’m really curious to see how things here pan out. Hopefully by the end of it, we’ll be able to say “A unit increase in civil liberties, all else equal, has about the same effect on inbound migration as a $X increase in median income.” That X will be close to a revealed preference measure of the price of freedom.

Later this week, I’ll post reassessing some of my Kiwi-enthusiasm in light of the post-earthquake policy experience. I’ve been pretty disappointed with how things here have panned out. We are not as far outside of the asylum as I had thought.

* I count myself as a messy pluralist of this sort too; I’m not trying to disparage it! Freedom matters, other stuff matters too.

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I thought I would throw in a little economic research to support Grover Cleveland’s point:

Based on a panel of quality of life and business environment measures, households prefer MSAs in warm coastal areas and non-metropolitan locations, while firms prefer large, growing cities. In addition, cities with improving business environments acquire increasing shares of workers, especially workers with high levels of human capital; cities with improving consumer amenities become relatively more populated by retirees.

Further analysis of individual level migration decisions indicates that regardless of marital status, young, highly educated households tend to move towards places with higher quality business environments. This tendency is especially pronounced among highly educated couples who are more subject to job market co-location problems. In contrast, regardless of education, couples near retirement tend to move away from places with favorable business environments and towards places with highly valued consumer amenities. These patterns help explain why areas unattractive to both households and business have struggled, as with upstate New York, while the sun-belt and other regions are thriving.

From Chen and Rosenthal (2008). They argue that household-preferred areas will tend to have low wages and high rents, while business-preferred locations have high wages and high rents.

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  1. Jordan Rappaport, “Moving to Nice Weather,” Regional Science and Urban Economics. U.S. residents have been moving en masse to places with nice weather. Well known is the migration towards places with warm winters, which is often attributed to the introduction of air conditioning. But people have also been moving to places with cooler, less-humid summers, which is the opposite of what is expected from the introduction of air conditioning. Nor can the movement to nice weather be primarily explained by shifting industrial composition or by migration of the elderly. Instead, a large portion of weather-related movement appears to be driven by an increased valuation of nice weather as a consumption amenity, probably due to broad-based rising per capita income.
  2. Nathan J. Ashby, “Freedom and International Migration,” Southern Economic Journal. Economic freedom attracts immigrants.
  3. Duggan, Hjalmarsson, & Jacob, “The Short Term and Localized Effect of Gun Shows: Evidence from California and Texas,” Review of Economics and Statistics. We examine the effect of more than 3,400 gun shows using data from Gun and Knife Show Calendar and vital statistics data from California and Texas. Considering the one month following each show and a surrounding area ranging from 80 to 2,000 square miles, we find no evidence that gun shows increase either gun homicides or suicides. The similarity of our estimates for California and Texas suggests that the much tighter California gun show regulations do not substantially reduce the number of firearms-related deaths in that state. Using incident-level crime data for Houston, Texas, we also find no evidence of an effect on other crime categories.

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I want to piggy-back here on Mark’s great post on urban planning and the poor. I’ve been playing around with some state-level data on local land-use regulations and cost of living. The last decade in the U.S. has been one of very slow productivity growth. As a result, fast-growing states tend to be those with low growth in cost of living. This explains not just states like Texas but North Dakota as well (and at the other end, California). Take a look at the list of states with highest annualized real personal income growth over 2000 to 2007 (the deflator, a state cost of living index, comes from the newest, 2009 Berry et al. data, which explains why the series ends at 2007):

1. Louisiana – 2.8%
2. Wyoming – 2.8%
3. North Dakota – 2.6%
4. South Dakota – 2.1%
5. Oklahoma – 1.9%
6. Arkansas – 1.8%
7. Mississippi – 1.5%
8. Nebraska – 1.5%
9. Montana – 1.5%
10. Kansas – 1.4%

Surprised? These are hardly “knowledge economies.” In some cases, mining or energy accounts for strong growth, and indeed in multiple regression mining share of GDP in 2000 does strongly explain subsequent real personal income growth (per capita or total). And in Louisiana’s case Hurricane Katrina chased away a lot of low-income people. But part of the story is elastic housing supply leading to low growth in house prices during the 2000-2007 bubble. A better measure of state economic success is arguably total rather than per capita income growth, which rewards states that attract people. Here are those numbers:

1. Wyoming – 3.6%
2. Nevada – 3.1%
3. Florida – 3.0%
4. South Dakota – 2.8%
5. Arizona – 2.8%
6. Arkansas – 2.6%
7. Texas – 2.6%
8. North Dakota – 2.6%
9. Oklahoma – 2.5%
10. Louisiana – 2.5%

Again, these states have in common slow growth in housing prices during the bubble. And what explains slow growth in housing prices? Land-use regulation. I use the Gyourko et al. land-use regulation variable to predict both cost of living in 2000 and growth in cost of living over 2000-2007. It is an extremely strong predictor of both (statistical significance>99.99%). When net 2000-2007 in-migration (% of 2000 population) is regressed on both 2000 cost of living and the land-use regulation index along with controls (economic and personal freedom, 2000 accommodations GDP per capita), both are highly statistically significant and negative. When total personal income growth is regressed on migration, controls, and the land-use regulation index, land-use regulation is insignificant while migration is highly significant and positive. No surprise there – land-use regulation doesn’t reduce total factor productivity, but it does discourage labor inflows.

So here’s the big story of growth in those states that have experienced it in the last decade: lack of land-use regulation –> slow growth in cost of living –> more in-migration –> more income growth. Highly regulated states like California (-0.4% annual growth), Oregon (0.1%), Massachusetts (0.1%), and New Jersey (0.3%) could learn something. If we are entering a “great stagnation,” we may have to squeeze increases in living standards out of lower prices rather than innovation for a while.

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