Institutions Matter

From a recent St. Louis Fed study

Using cross-country analysis, we find that a key factor for fast-growing countries to grow faster than the United States and for trapped economies to grow slower than the United States is the relative TFP, which may be technology driven and not related to institutional barriers.  Yet more-severe institutional barriers in the lag-behind countries actually hinder the process of structural transformation and economic development, causing these countries to fall behind the fast-growing economies despite having similar or even better initial states five decades ago. Overall, we find that institutional barriers have played the most important role, accounting for more than half the economic growth in fast-growing and trapped economies and for more than 100 percent of the economic growth in the lag-behind countries. By conducting country studies, we identify that unnecessary protectionism, government misallocation, corruption, and financial instability have been key institutional barriers causing countries to either fall into the poverty trap or lag behind without a sustainable growth engine. Such barriers have created frictions or distortions to capital markets, trade, and industrialization, subsequently preventing these countries from advancing (pg. 260-261).

Economist Linda Yueh explains why institutions are important for economic growth:

Research by the OECD estimates that by 2030, for the first time in history, more than half of the world’s population will be middle class (OECD 2012). That’s 4.9 billion out of an estimated 8.6 billion people. In 2009 1.8 billion (out of around 7 billion) people earned between $10 and $100 per day, a measure of the income that defines the new global middle class. That’s enough to buy a refrigerator, adjusted for what a dollar buys in their countries.

Based on current trends, in 2030 around two-thirds of the middle classes worldwide – nearly 3 billion people – will be in Asia. The UN describes it as a historic shift not seen for 150 years (Yueh 2018). The European and North American middle classes will fall from more than half of that class’s world total to one-third.

How has this been achieved? Possessing good institutions is what economists have come to focus on and the spread of such institutions seems to have been key, as the father of New Institutional Economics predicted. The seminal work in this area was by Douglass North who was frustrated by neoclassical economic models that focused on measurable factors like workers and investment, with attempts to measuring technological progress, even though they could not fully explain why some economies grow well and others do not.

So, North took economics out of its comfort zone, which consisted of examining more easily measured inputs like labour and capital, and instead brought in politics, psychology, and strategy, as well as history, in order to understand why some countries succeed and others fail. He stressed that there was no reason why countries could not learn from more successful economies to better their own institutions. That finally happened in the 1990s.

In the early 1990s, China, India, and Eastern Europe changed course. China and India re-oriented their economies outward to integrate with the world economy, while Eastern Europe shed the old communist institutions and adopted market economies. In other words, having tried central planning (in China and the former Soviet Union) and import substitution industrialisation (in India), these economies abandoned their old approaches and adopted as well as adapted the economic policies of more successful economies. For instance, China, which has accounted for the bulk of poverty reduction since 1990, undertook an ‘open door’ policy that sought to integrate into global production chains which increased competition into its economy that had been dominated by state-owned enterprises. India likewise abandoned its previous protectionist policies and embraced exports to a greater extent. The wholesale transformation of the economic system was of course in Central and Eastern Europe. Communism gave way to capitalism, with these nations adopting entirely new institutions that re-geared their economies toward the market and many joining the EU.

Thus, the 1990s witnessed the rapid growth of emerging economies whose growth via industrialisation eventually led to an extraordinary commodity super-cycle due to their voracious demand for raw materials to fuel their development. As many of these economies, especially China, have become middle-income countries, their economic growth is slowing down. And they may slow down so far that they never become rich. But, their collective growth has lifted a billion people of out of extreme poverty, and the UN hopes that their continued growth will lead to the end of abject poverty in the next decade or so, which would be a historic achievement. That would realise the first of the Sustainable Development Goals adopted by every nation around the world to end extreme poverty – i.e. those earning less than $1.90 per day adjusted for what a dollar buys in their country – by 2030.

Institutions matter.

Is the Politicization of Facebook Making Us More Partisan?

Regarding the claim that political deliberation leads to positive results, philosopher Jason Brennan writes,

In a comprehensive survey of the empirical research on democratic deliberation, political scientist Tali Mendelberg (2002, 154)  concludes that the “empirical evidence for the benefits that deliberative theorists expect” is “thin or non-existent”. Deliberation tends to undermine cooperation among groups (Mendelberg 2002, 156). When groups are of different sizes, deliberation tends to exacerbate conflict rather then mediate it (Mendelberg 2002 158). Status-seeking drives the discussion. Deliberators try to win positions of influence and power over others (Mendelberg 2002, 159). High-status individuals have more influence, regardless of whether the high status individuals actually know more (Mendelberg 2002, 165-7). During deliberation, people use language in biased and manipulative ways (Mendelberg 2002, 170-2). As Mendelberg concludes, “in most deliberations about public matters”, group discussion tends to “amplify” intellectual biases rather than “neutralize” them (Mendelberg 2002, 176, citing Kerr, MacCoun, and Kramer 1996).

…Mendelberg’s take on the empirical literature is not unusual. Other reviews of the extant political literature—including by people who favor deliberative democracy—find similar results (Landemore 2012, 118-19; Pincock, 2012). For instance, deliberation tends to move people toward more extreme versions of their ideologies rather than toward more moderate versions (Sunstein 2002). Deliberation over sensitive matters—such as pornography laws—often leads to “hysteria” and “emotionalism”, with parties to the debate feigning moral emergencies and booing and hissing at one another (Downs, 1989).

Relatedly, political scientist Diana Mutz’s (2006) empirical work shows that deliberation and participation do not come together. The people who are most active in politics tend to be Hooligans. Vulcans tend to stay home.

Mutz finds that being exposed to contrary points of view tends to lessen one’s enthusiasm for one’s own political views. Cross-cutting political exposure decreases the likelihood that a person will vote, reduces the number of political activities a person engages in, and makes people take longer to decide how to vote (Mutz 2006, 92, 110, 112-113). In contrast, active, participatory citizens tend not to engage in much deliberation and tend not to have much cross-cutting political discussion (Mutz 2006, 30). Instead, they seek out and interact only with others with whom they already agree.  When asked why other people hold contrary points of view, participatory citizens tend to respond that others must be stupid or corrupt.

Many political theorists advocate provide more meaningful opportunities for political participation.  Mutz, in effect, finds that the people most likely to take advantage of such opportunities are extremists and partisans (Mutz, 135-6).

Some might wonder, if deliberative democracy does not work, then what does? Unfortunately, the answer might be nothing.

While Mutz’s work finds that positive interpersonal interactions can increase political compromise, a new study suggests that online interactions do quite the opposite:

Social media sites like Facebook are often charged with increasing political polarization by establishing what are called “echo chambers,” places of discourse that prevent people from being exposed to things that contradict their beliefs. It is commonly believed that exposure to opposing opinions is a good thing, as it allows one to empathize with their interlocutors and see the merits of another point of view. A recent study published in the Proceedings for the National Academy of Sciences seems to imply the opposite though, increased exposure to opposing political views can actually increase one’s political polarization.

In the published study, the researchers first surveyed 2 large groups of Republicans and Democrats who were frequent Twitter users about a range of policy issues. Then they had each group follow Twitter bots that retweeted content from elected officials and public figures with opposing political views for one month. Afterward, the participants were surveyed again regarding their political opinions. What the researchers found was that Republicans who followed a liberal Twitter bot expressed substantially more conservative opinions than before. Alternatively, they found that Democrats following a conservative Twitter bot expressed slightly more liberal opinions, although not to a statistically significant degree.

Such a study highlights the important (and potentially negative) effects that social media can have on political discourse. It is commonly touted nugget of wisdom that exposure to opposing political beliefs can temper one’s own, causing them to fall closer to the center of the political spectrum. In actuality, sometimes exposure to opposing opinions can have a “backfire effect”—where exposure to foreign ideas actually makes one hold their own ideas more strongly and can push one further to the ends of the political spectrum.

…The results indicated that liberals who had followed a conservative bot showed a slight increase in liberal attitudes, but not to any statistically significant degree. On the contrary, Republicans who followed a liberal Twitter bot showed a substantial increase in conservative political opinions. Of the Republican respondents who fully completed the ending survey, the researchers measured an average increase in polarization of .60 points, around .59 standard deviations. Even when controlled for both age, and for initial extremeness of position, the results stayed the same; Republicans had a much more pronounced polarizing reaction to exposure to opposing political opinions. Thus, it seems that this “backfire effect” is more likely to be seen and be more pronounced in Republicans than Democrats.

That’s disappointing, if entirely predictable.

Does the U.S. Subsidize Global Health Care?

From a USC study earlier this year:

What we pay for medicines today affects the number and kinds of drugs discovered tomorrow. Empirical research has established that drug development activity is sensitive to expected future revenues in the market for those drugs. The most recent evidence suggests that it takes $2.5 billion in additional drug revenue to spur one new drug approval, based on data from 1997 to 2007.

Another study assesses the Orphan Drug Act, passed in 1982 to stimulate development of treatments for rare diseases. Its key feature was the granting of market exclusivity that would restrict entry by competitors— in other words, allow for higher prices. The result was a dramatic increase in the number of compounds brought into development to treat rare diseases (figure 3). This linkage may not help patients with tuberculosis today in Nigeria and Indonesia — two poor countries hardest hit by tuberculosis—but it is currently benefiting patients in the same countries who have HIV. Decades ago, demand for HIV treatment in wealthy countries spurred medical breakthroughs that have since found their way — albeit more slowly than we would like — into the poorest corners of the globe. As of July 2017, 20.9 million people living with HIV were accessing antiretroviral therapy globally; 60 percent of them live in eastern and southern Africa.

American consumers may feel some philanthropic pride about the benefits they have spurred for the world’s poorest HIV patients. But similar benefits are also enjoyed by German, British, and French HIV patients, and were financed by the same revenues generated, in large part, by high American drug prices. Whether one sees this as philanthropy on the part of American drug buyers, or free-riding on the part of other wealthy countries who pay much less for the same drugs, America clearly contributes more to pharmaceutical revenue, and hence incentives for new drug development, than its income and population size would suggest (pg. 2).

The study goes on to point out that Americans pay 3 times as much on drugs as Europeans and 90% more as a share of income. American consumers “account for about 64 to 78 percent of total pharmaceutical profits, despite accounting for only 27 percent of global income…American patients use newer drugs and face higher prices than patients in other countries” (pg. 2-3). Most policy discussions focus on lowering American prices. But what if we instead raised European prices? The researchers write,

Increasing European prices by 20 percent — just part of the total gap — would result in substantially more drug discovery worldwide, assuming that the marginal impact of additional investments is constant. These new drugs lead to higher-quality and longer lives that benefit everyone. After accounting for the value of these health gains — and netting out the extra spending — such a European price increase would lead to $10 trillion in welfare gains for Americans over the next 50 years. But Europeans would also be better off in the long run, by $7.5 trillion, weighted towards future generations. This is because European populations are rapidly aging, and they need new drugs too…At the end of the day…evidence conclusively demonstrates that higher expected revenues leads to more drug discovery, with the most recent numbers suggesting that on average every $2.5 billion of additional revenue leads to a new drug approval (pg. 4).

In short, “if other wealthy countries shouldered more of the burden for medical innovation, both American and European patients would benefit” (pg. 5). Recent research confirms that the difference between U.S. and European healthcare is driven mainly by prices. The authors suggest that more can be done through trade, international harmonization of regulatory standards, and further research on the costs of free-riding. “As incomes in less-developed countries rise,” they conclude, “they will face the challenges of fighting conditions like diabetes, heart disease, and even dementia. Spending a bit more now to ensure their populations have access to effective treatment is in everyone’s interest (pg. 5).

Medical innovations are vital to increased well-being and the U.S. dominates in this arena.

Drug Discovery, 1996-2017
Medical Laboratory Technology, 1996-2017
Medicine, 1996-2017

Even when compared to the European Union as a whole, the United States still comes out on top.

As the authors of the two graphs above explain,

Although many factors are surely relevant, one likely contributor is differences in monetary compensation. Other things being equal, individuals and firms will tend to invest more in medical innovation when (a) they expect a larger return; (b) the returns will last for a longer period of time; and (c) the returns arrive sooner rather than later…Americans pay more for pharmaceuticals because of the nature of our health care system. Single-payer and other centrally organized health care systems, like those in much of Europe, are characterized by a great deal of monopsony (buyer) power that pushes down compensation…In addition to pushing down prices, centrally organized health care systems also limit the use of new drugs, technologies, and procedures. Those systems “control costs by upstream limits on physician supply and specialization, technology diffusion, capital expenditures, hospital budgets, and professional fees.” The result is that those countries use new innovations less extensively than the United States (pg. 8).

They conclude (and I agree), “The healthcare debate should address more than just covering the uninsured and controlling costs. It should also consider whether proposed policies will promote or hinder the ability of creative individuals to innovate” (pg. 11).

Does Immigration Increase Income Inequality?

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According to Harvard economist Edward Glaeser,

Cities aren’t full of poor people because cities make people poor, but because cities attract poor people with the prospect of improving their lot in life. The poverty rate among recent arrivals to big cities is higher than the poverty rate of long-term residents, which suggests that, over time, city dwellers’ fortunes can improve considerably. The poorer people who come to cities from other places aren’t mad or mistaken. They flock to urban areas because cities offer advantages they couldn’t find in their previous homes…The absence of poor people in an area is a signal that it lacks something important, like affordable housing or public transportation or jobs for the least skilled. The great urban poverty paradox is that if a city improves life for poor people currently living there by improving public schools or mass transit, that city will attract more poor people.[ref]The Triumph of the City, pg. 70-71.[/ref]

In short, “The flow of less advantaged people into cities from Rio to Rotterdam demonstrates urban strength, not weakness…Urban poverty should be judged not relative to urban wealth but relative to rural poverty.”[ref]Ibid., pg. 9-10.[/ref] In my view, Glaeser’s insight is incredibly important. Not only does it stress the need for proper comparisons, but also highlights the difference between absolute mobility and relative inequality. This indicates that if city officials were to focus solely on the poverty rate or level of inequality within their cities without tracking mobility and length of residency, they could very well be misdiagnosing the situation.[ref]Andreas Bergh and Therese Nilsson have made similar observations about inequality and poverty.[/ref]

I think a similar approach can be taken concerning poverty and inequality within the United States. What if inequality in the United States isn’t necessarily because of some abstraction like “the rich,”[ref]Not to make light of powerful groups who do capture segments of the economy.[/ref] but is due to the amount of low-income immigrants we’ve taken in over the last several decades? Yes, within-country inequality has grown, but is it in part due to low-skill, low-education workers escaping the poverty of their origin countries and becoming better off by coming here (therefore, lowering between-country inequality)?

A new paper from Mission Foods Texas-Mexico Center at SMU explores the effects of immigration on inequality. After reviewing the economic literature, the authors conclude

that low-skilled immigration to the U.S., much of it from Mexico, has only played a minor role in rising income and wage inequality. To the extent that there is an effect, it has come through the presence of immigrants, and less as a result of immigration’s effect on natives’ wages. Immigrants’ bimodal skill distribution, with clustering at the top and bottom of the U.S. skill distribution, has widened the overall income distribution slightly. At the same time, low-skilled immigration to the U.S., and migrants’ remittances, have played a large role in lowering global inequality by moving millions of low-income Mexican families further away from poverty and closer to the global middle class.

Migration from poor to rich countries represents a reallocation of labor that increases the wage of the migrant while also raising wages in the sending country. It moves labor to capital-rich countries where businesses readily employ it. Productivity and output rise. As long as business investment responds to the worker influx, wage effects on native workers will be limited. Migration is the last frontier of globalization. Removing barriers to international mobility would result in large economic gains that far outweigh any costs (pg. 11-12).[ref]You can find a brief overview of the paper here.[/ref]

Though it only plays a small role, immigration has increased inequality within the U.S. because poor non-citizens became less poor. Elsewhere, Pia Orrenius–vice president and senior economist at the Federal Reserve Bank of Dallas and one of the authors of the paper above–explains further:

We surveyed the literature that’s out there and we found two high quality studies that showed that all this out migration from Mexico has actually increased wages in Mexico. That is consistent with economic theory. If there’s fewer workers they should command a higher return…You might think that if migration raises wages in Mexico, it should lower them in the U.S. But what the surveys of literature say is that there’s actually only a very small impact on the wages of native workers in terms of the competition with immigrants, and there’s many reasons for that. The main reason is that there really aren’t a lot of low-skilled workers in the U.S. who compete with immigrants. You’re looking at a small and shrinking group of workers and so there’s not a lot of effect there.

Where we did see an impact is on the income distribution. When Mexican immigrants come in, for example, they have very low levels of education and so they come into the U.S. and they initially earn very low wages. So just by virtue of them coming into the country they’re actually broadening the income distribution by coming into the low end. So just mechanically there’s more income inequality because they’re coming in at very low wage jobs that generally Americans are not filling.

So there’s a mechanical reasoning for the increase in income inequality that’s partly related to migration, but generally we found in looking at the literature the bigger reasons are what’s called routine bias technological change and the hollowing out of the middle of the income distribution. And that’s due to technological change and the replacement of workers and routine-based occupations. We call that labor market polarization.

Labor market polarization or the hollowing out of the middle class is not consistent with migration from Mexico because again immigration from Mexico is coming in at the very low end of the distribution. So that’s how we concluded that there’s a lot going on here, but generally the main driver for income inequality in the U.S. and other countries is not low-skilled immigration.

…The other thing that we noted, and this is actually really important, is that if we’re looking at income inequality in the United States or in western Europe, yes you do see increasing income inequality. We’re unhappy with that—obviously that isn’t something that people want to see. But what we urge people to do in the paper is to look at the global income inequality. Thanks to globalization, we’ve actually seen falling income inequality in the world. So the world as a whole is better and better and better off. We’re richer as a world; we’re less unequal as a world, thanks to all of these trends that are going on. So what’s going on in the world globally is not the same as what’s going on in these individual countries.

It’s very important to remember that some of these trends that we see as negative in the U.S. are actually positive globally because they’ve allowed the poorest people in the world, like the people in India, the people in China to come out of abject poverty and actually join at least the lower middle class or the middle class.

The globalization of capital and labor may contribute to inequality within rich countries, but it’s making the world as a whole a more equal place.

Has War Really Declined Since WW2?

From a recent working paper:

we give a simple exposition of the central ideas behind the new critiques of the decline-of-war thesis made by Cirillo and Taleb (2016b) and Clauset (2018). Note that these ideas hinge centrally on the original insight of Richardson (1948) into the fat-tailed size distribution of modern wars. This connection provides the relevance of our paper to the present book. Second, we transform the war-size data into units of battle death per 100,000 or world population rather than absolute battle deaths and argue that these units are appropriate for investigating the probability that a random person will die in a war. We show that this change tilts the evidence towards rejecting the no-change hypothesis; it does not on its own result in formal rejection at a standard significance level but it does move us toward a preponderance of evidence against no change. Third, we show that sliding the candidate break point slightly forward in time, to 1950 rather than 1945, leads us further down the path toward formal rejection of the no-change hypothesis. Finally, we expand range of wars to include not just the interstate wars considered by Clauset (2018) but also intra-state wars. Now we do formally reject the no-change hypothesis. Finally, we show that our results do not depend on the choice between two widely used war datasets.

From one of the authors:

We can read off the picture on the right…that wars killing more than 45 people per 100,000 of world population after 1950 have been much less common than such wars were before 1950.  Indeed, the estimated probability that the pre-1950 war generation mechanism continued to operate after 1950 for wars of sizes above 45 per 100,000 is only around 0.05.  So we can even formally reject a hypothesis that nothing changed after 1950 for wars of sizes 45 per 100,00 and above.

gleditsch_all

 

Global Study: Alcohol Is Bad For You (Surprise)

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Because it’s bad for you.

From CNN:

If you’re one of the third of all humankind who drinks alcohol, take note: There’s no amount of liquor, wine or beer that is safe for your overall health, according to a new analysis of 2016 global alcohol consumption and disease risk. Alcohol was the leading risk factor for disease and premature death in men and women between the ages of 15 and 49 worldwide in 2016, accounting for nearly one in 10 deaths, according to the studypublished Thursday in the journal The LancetFor all ages, alcohol was associated with 2.8 million deaths that year. Those deaths include alcohol-related cancer and cardiovascular diseases, infectious diseases such as tuberculosis, intentional injury such as violence and self-harm, and traffic accidents and other unintentional injuries such as drowning and fires.“The most surprising finding was that even small amounts of alcohol use contribute to health loss globally,” said senior study author Emmanuela Gakidou, a professor at the University of Washington’s Institute for Health Metrics and Evaluation. “We’re used to hearing that a drink or two a day is fine. But the evidence is the evidence.”

It continues:
University of Cambridge epidemiologist Steven Bell co-authored a separate study published in April in The Lancet that found drinking is beneficial in lowering the risk for heart attack. However, that study’s big takeaway was that even one drink a day could shorten life expectancy; long-term reduction in alcohol use added one to two years to life expectancy at age 40. He points out that his study looked only at drinkers, but the new research compared drinkers to non-drinkers in accessing risk and is one of the first to look at data from low- and middle-income countries. “Based on these findings,” Bell said, “at no point … is there a level of consumption that appears to lower the overall risk of developing any of the wide array of diseases investigated in comparison to non-drinking. The take-home message being that people shouldn’t drink under the belief that it will lower their risk of disease,” he said, “and those of us who opt to drink should minimize our intake if we wish to prolong our life and well-being.”
The evidence against alcohol consumption is growing year after year.

The Dunning-Kruger Effect: Political Edition

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Partisans

Here’s your daily dose of unsurprising findings in social science:

People who know less about politics are more confident about their political knowledge, according to research published in the scientific journal Political Psychology. The new study found that this effect was exacerbated when partisan identities were activated.

“The Dunning-Kruger effect holds that individuals with little knowledge about a topic will be, paradoxically, the most confident that they know a lot about the topic. Knowledgeable individuals will also discount their knowledgeability,” explained study author Ian Anson, an assistant professor at the University of Maryland, Baltimore County.

…For his study, Anson examined 2,606 American adults using two online surveys. He evaluated the knowledge of the participants by quizzing them regarding the number of years served by a senator, the name of the current Secretary of Energy, the party with more conservative positions regarding health care, the political party currently in control of the House of Representatives, and which of four programs the U.S. federal government spends the least on. Most of the participants performed poorly on the political quiz — and those who performed worse were more likely to overestimate their performance.

“Many Americans appear to be extremely overconfident in their political knowledgeability, because they have no way of knowing how little they actually know about the world of politics (this is the so-called ‘double bind of incompetence’). But there’s a catch: when Republicans and Democrats engage in partisan thought processes, this effect becomes even stronger than before,” Anson explained.

“Partisans with modest factual knowledge about politics become even more convinced that they are savvier than average when they reflect on a world full of members of the opposite party. In fact, when I asked partisans to ‘grade’ political knowledge quizzes filled out by fictional members of the other party, low-skilled respondents gave out scores that reflected party biases much more than actual knowledge.”

“The results seem to indicate the existence of a widespread failure of political discourse in the United States: when a partisan talks to someone of the out-party, they are pretty likely to misjudge the political knowledgeability of themselves and their conversation partner. More often than not, this means that partisans will think of themselves as far more politically knowledgeable than an out-partisan, even when that person is extremely politically knowledgeable,” Anson told PsyPost.

Say it with me again: politics makes us mean and dumb.

People Are Wrong About the World

A few posts ago, I wrote the following:
In short, ignorance and fear of the unknown or “the other” (which ends up manifesting as racial resentment) lead to anti-immigration sentiments. Many have been quick to point out that economic anxieties didnot play a significant role in the rise of Trump. Cultural values, for example, played a far more significant role. Evidence from Belgium also suggests that declinism–a negative view of the state and evolution of society–is far more important in predicting populist support than economic insecurities. Nonetheless, there is some evidence that economic downturns and uncertainty do lead to a rise in populism, particularly in Europe. Increases in unemployment following the Great Recession eroded trust in mainstream political parties in Europe and led to a rise in support for populist parties.  Harvard’s Dani Rodrik has made a case that economic globalization helped create a populist political backlash.
I linked to several more studies that connected the rise of populism with financial crises. However, a recent Pew study offers support for this notion of declinism mentioned above (at least in Europe):

Nostalgia may be a better predictor of populist sentiments.[ref]Psychological research supports this.[/ref] Roughly six-in-ten French adults with a positive view of the populist National Front (62%) say life in France is worse today for people like them than it was 50 years ago. Only about four-in-ten (41%) of the rest of the French population share that perspective. In Germany, 44% of [Alternative for Germany] supporters say life today is worse than 50 years ago; that compares with just 16% of other Germans. Those with populist sympathies in Sweden and the Netherlands similarly lament the passing of better times in the past.

Those who view populist parties favorably are more likely to say life is worse today than it was 50 years ago

The link between populism and declinism is disconcerting, especially given poll numbers from a 2017 study conducted by Ipsos with the Gates Foundation. Economist Max Roser at Our World in Data has provided the answers in graph formation below:

Roser notes,

The countries I marked with a star are those that were a low-income or lower-middle-income countries a generation ago (in 1990). In these poorer countries more people understand how global poverty has changed. People in richer countries on the other hand – in which the majority of the population escaped extreme poverty some generations ago – have a very wrong perception about what is happening to global poverty…And just as with knowledge about extreme poverty, the share of uninformed people [regarding child mortality] is much higher in the rich countries of the world…The widespread ignorance about these truly important changes in the world feeds into a general discontent about how the world is changing. When YouGov asked in a separate survey the more general question: “All things considered, do you think the world is getting better or worse?” there were very few who gave a positive answer. In France and Australia only 3%(!) think the world is getting better. And again we see that in poorer countries the share of people who answer positively is higher. 

…Finally the survey suggests that there is a connection between our perception of the past and our hope for the future. The chart below shows that the degree of optimism about the future differs hugely by the level of people’s knowledge about global development. Those that were most pessimistic about the future tended to have the least basic knowledge on how the world has changed. Of those who could not give a single correct answer to the survey questions, only 17% expect the world to be better off in the future. At the other end of the spectrum, those who had very good knowledge about how the world has changed were the most optimistic about the changes that we can achieve in the next 15 years…Of course no one can know how the future turns out and there is nothing that would make the progress we have seen in recent decades continue inevitably and not every global development pessimist is ill-informed. But what we do know from these surveys is that these two views go together: Those who are pessimistic are much more likely to have little understanding about what is happening in the world.

The Preferences of Non-Voters: 2016 Election Edition

The Washington Post has a recent article that highlights the preferences of non-voters:

The data…makes another point very clear: Those who didn’t vote are as responsible for the outcome of the election as those who did. As we noted shortly after the election, about 30 percent of Americans were eligible to vote but decided not to, a higher percentage than the portion of the country who voted for either Trump or his Democratic opponent, Hillary Clinton. Pew’s data shows that almost half of the nonvoters were nonwhite and two-thirds were under age 50. More than half of those who didn’t vote earned less than $30,000 a year; more than half of those who did vote were over age 50.

The piece goes through several demographics:

  • Race: “Black and Hispanic voters voted much more heavily Democratic than white votes backed Trump, but they turned out less.”
  • Age: “People under 30 preferred Clinton by 30 points but made up much more of the nonvoter population than the population that actually voted. A third of nonvoters were under 30; only 1 in 8 voters was in that age group.”
  • Income: “Poorer whites and nonwhites generally made up more of the nonvoter pool than the voter pool.”
  • Education: “College graduates leaned toward Clinton — but whites without college degrees voted heavily for Trump. Nonwhites without a college education were 40 percent of the nonvoter pool and only 1 in 5 actual voters.”
  • Religion: “Evangelicals were the most strongly pro-Trump of the religious groups of voters, and they represented more of the voting pool than the nonvoting pool. Black Protestants and Hispanic Catholics made up less of the voting population than the nonvoting population — and strongly preferred Clinton.”

All together, the voter/nonvoter political divide looks like this:

The article concludes, “Demographic groups that preferred Trump were three times as likely to be a bigger part of the voter pool than nonvoters. Among groups that preferred Clinton, they were about 50 percent more likely to be a bigger part of the nonvoting community. Clinton nonetheless won the popular vote. But an increased turnout of under-30 voters in, say, Wisconsin, Pennsylvania and Michigan could easily have changed the results of the history.”

This fits with previous data: non-voters are a largely younger, poorer, uneducated, racially diverse group that lean left.

The Social Science of Identity Politics

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Political scientist Sheri Berman has an excellent piece in The Guardian that covers some of the most relevant social science on identity politics and its implications:

Rather than being directly translated into behavior, psychologists tell us beliefs can remain latent until “triggered”. In a fascinating study, Karen Stenner shows in The Authoritarian Dynamic that while some individuals have “predispositions” towards intolerance, these predispositions require an external stimulus to be transformed into actions. Or, as another scholar puts it: “It’s as though some people have a button on their foreheads, and when the button is pushed, they suddenly become intensely focused on defending their in-group … But when they perceive no such threat, their behavior is not unusually intolerant. So the key is to understand what pushes that button.”

What pushes that button, Stenner and others find, is group-based threats. In experiments researchers easily shift individuals from indifference, even modest tolerance, to aggressive defenses of their own group by exposing them to such threats. Maureen Craig and Jennifer Richeson, for example, found that simply making white Americans aware that they would soon be a minority increased their propensity to favor their own group and become wary of those outside it. (Similar effects were found among Canadians. Indeed, although this tendency is most dangerous among whites since they are the most powerful group in western societies, researchers have consistently found such propensities in all groups.)

Building on such research, Diana Mutz recently argued that Trump’s stress on themes like growing immigration, the power of minorities and the rise of China highlighted status threats and fears particularly among whites without a college education, prompting a “defensive reaction” that was the most important factor in his election. This “defensive reaction” also explains why Trump’s post-election racist, xenophobic and sexist statements and reversal of traditional Republican positions on trade and other issues have helped him – they keep threats to whites front and center, provoking anger, fear and a strong desire to protect their own group.

Understanding why Trump found it easy to trigger these reactions requires examining broader changes in American society. In an excellent new book, Uncivil Agreement, Lilliana Mason analyzes perhaps the most important of these: a decades-long process of “social sorting”. Mason notes that although racial and religious animosity has been present throughout American history, only recently has it lined up neatly along partisan lines. In the past, the Republican and Democratic parties attracted supporters with different racial, religious, ideological and regional identities, but gradually Republicans became the party of white, evangelical, conservative and rural voters, while the Democrats became associated with non-whites, non-evangelical, liberal and metropolitan voters.

This lining up of identities dramatically changes electoral stakes: previously if your party lost, other parts of your identity were not threatened, but today losing is also a blow to your racial, religious, regional and ideological identity. (Mason cites a study showing that in the week following Obama’s 2012 election, Republicans felt sadder than American parents after the Newtown school shooting or Bostonians after the Boston Marathon bombing.) This social sorting has led partisans of both parties to engage in negative stereotyping and even demonization. (One study found less support for “out-group” marriage among partisan Republicans and Democrats than for interracial marriage among Americans overall.)

Once the other party becomes an enemy rather than an opponent, winning becomes more important than the common good and compromise becomes an anathema. Such situations also promote emotional rather than rational evaluations of policies and evidence. Making matters worse, social scientists consistently find that the most committed partisans, those who are the angriest and have the most negative feelings towards out-groups, are the most politically engaged.

She continues, pointing out that

research suggests that calling people racist when they do not see themselves that way is counterproductive. As noted above, while there surely are true bigots, studies show that not all those who exhibit intolerant behavior harbor extreme racial animus. Moreover, as Stanford psychologist Alana Conner notes, if the goal is to diminish intolerance “telling people they’re racist, sexist and xenophobic is going to get you exactly nowhere. It’s such a threatening message. One of the things we know from social psychology is when people feel threatened, they can’t change, they can’t listen.”

This has obvious implications for recent debates about civility. Incivility is central to Trump’s strategy – it helps him galvanize his supporters by reminding them how “bad” and “threatening” the other side is. Since this has become such a hot-button topic on the left, it is worth being clear what incivility is. There is no definition of democracy that does not accept peaceful protest and other forms of vociferous political engagement. Incivility is about form – not substance; it is consistently defined by scholars as including invective, ridicule, emotionality, histrionics and other forms of personal attacks or norm-defying behavior. By engaging in even superficially similar tactics, Democrats abet Trump’s ability to do this – as one Trump supporter put it, every time Democrats attack him “it makes me angry, which causes me to want to defend him more” – potentially alienate wavering Republican-leaning independents, and help divert debate from policies, corruption and other substantive issues.

Of course, there is a double standard here and this, along with the psychic release that comes with venting the anger and grievances that have been building over the past year, are the rationales given by the left for incivility. But against these must be weighed incivility’s impact on upcoming elections as well as the overall health of democracy. (Scholars consistently find that incivility spreads rapidly, generates anger and defensive reactions, demobilizes moderates and activates the strongest partisans, corrodes faith in government, trust in institutions and respect for our fellow citizens.)

Over the long term of course the goal is repairing democracy and diminishing intolerance and for this promoting cross-cutting cleavages within civil society and political organizations is absolutely necessary. (Here, recent debates about ideological diversity and the new grassroots activism within the Democratic party is relevant.) Scholars have long recognized the necessity of cross-cutting cleavages to healthy democracy. In his classic study, the Social Requisites of Democracy, Seymour Martin Lipset, for example, noted that “the available evidence suggests that the chances for stable democracy are enhanced to the extent that groups and individuals have a number of cross-cutting, politically relevant affiliations”.

More specifically, research has linked cross-cutting cleavages with toleration, moderation and conflict prevention. This too has implications for contemporary debates about “identity politics”. Perhaps ironically, identity politics is a both more powerful and efficacious for Republicans (and rightwing populists more generally) than it is for Democrats, since the former are more homogeneous.

…In addition, Americans are more divided socially than they are on the issues; there is significant agreement even on controversial topics like abortion, gun control, immigration and economic policy. Promoting cross-cutting cleavages and diminishing social divisions might therefore help productive policymaking actually occur.

Things to consider the next time you feel the itch to promote or debate party politics.