The North Korea problem isn’t solved

Donald Trump and Kim Jong Un just met and signed a deal committing North Korea to nuclear disarmament. Yay! Problem solved!

Except that there’s a long historical precedent of North Korea signing deals just like this one, only to immediately go back on them. Here’s a timeline for some relevant historical context.

1985: North Korea signs Nuclear Non-Proliferation Treaty
1992: North Korea signs historic agreement to halt nuclear program! (#1)
1993: North Korea is found to be cheating on its commitments under the NPT
1994: In exchange for US assistance in production of proliferation-free nuclear power plants, North Korea signs historic agreement to halt nuclear program! (#2)
1998: North Korea is suspected of having an underground nuclear facility
1998: North Korea launches missile tests over Japan
1999: North Korea signs historic agreement to end missile tests, in exchange for a partial lifting of economic sanctions by the US.
2000: North Korea signs historic agreement to reunify Korea! Nobel Peace Prize is awarded
2002-2003: North Korea admits to having a secret nuclear weapons program, and withdraws from the NPT
2004: North Korea allows an unofficial US delegation to visit its nuclear facilities to display a working nuclear weapon
2005: In exchange for economic and energy assistance, North Korea signs historic agreement to halt nuclear program and denuclearize! (#3)
2006: North Korea fires seven ballistic missiles and conducts an underground nuclear test
2006: North Korea declares support for denuclearization of Korean peninsula
2006: North Korea again supports denuclearization of Korean peninsula
2007: In exchange for energy aid from the US, North Korea signs historic agreement to halt nuclear program! (#4)
2007: N&S Korea sign agreement on reunification
2009: North Korea issues a statement outlining a plan to weaponize newly separated plutonium
2010: North Korea threatens war with South Korea
2010: North Korea again announces commitment to denuclearize
2011: North Korea announces plan to halt nuclear and missile tests
2012: North Korea announces halt to nuclear program
2013: North Korea announces intentions to conduct more nuclear tests
2014: North Korea test fires 30 short-range rockets, as well as two medium missiles into the Sea of Japan
2015: North Korea offers to halt nuclear tests
2016: North Korea announces that it has detonated a hydrogen bomb
2016: North Korea again announces support for denuclearization
2017: North Korea conducts its sixth nuclear test
2018: Kim Jong Un announces that North Korea will mass produce nuclear warheads and ballistic missiles for deployment
2018: In exchange for the cancellation of US-South Korea military exercises, North Korea, once again, commits to “work toward complete denuclearization on the Korean peninsula”

Maybe this time is really, truly different. But our priors should be informed by history, and history tell us that it’s almost certainly not.

Some social justice factoids

Starting on a brief personal note…

I’m a bit disappointed with myself for being absent from this blog for the past few weeks. In a Reddit AMA last week, my favorite blogger said that the limiting factor on his productivity is the amount of time he has in a day. This to me is an ideal that I wish I could always be at. The limiting factor on my productivity is almost always my mental capacity to avoid the infinite potential sources of short-term gratification, and to motivate myself to do the things that I get deeper and more long-lived satisfaction out of. Writing this blog is one of those things. My capacity to enforce mental discipline is pretty correlated with my overall state of mind and mood. I think you can actually probably fairly reliably track my mental health by just looking at how often I’m posting here!

I’m also disappointed because I have been thinking about a great many interesting things that deserve posts. I like the idea of using this blog as a faithful recording of my intellectual life, and having discontinuities doesn’t help with this. Much of what I’ve been thinking about over the past few weeks is related to meta-ethics, but it also goes more broadly into the nature of philosophy in general. I hope to write up some posts on these soon.

In the meantime, I’ve also been compiling some interesting factoids I’ve recently encountered related to social justice. Here they are, with sources!

Race

  • Bias against blacks in the justice system can be found in sentencing and in arrests for drug use, but not in arrest rates for violent crimes, police shootings, prosecution rates, or conviction rates. Source.
  • Juries in the Deep South were commonly all-white up until the 1986 case Batson v Kentucky (where loopholes that allowed exclusion of blacks from juries were closed). (from Just Mercy, p. 60)
  • Black Americans graduate from high school at the same rate as white Americans (92.3% vs 95.6%). Source.
    • In 1968, these numbers were 54.4% and 75%.
    • Percentage of college graduates age 25 to 29: 22.8% and 42.1%. (19.3% gap)
  • White adults who don’t graduate high school, don’t get married before having children, and don’t work full time have much greater median wealth than comparable black and Latino adults. Source.
    • Consumption habits can’t explain the wealth gap: white households spend more than black households of comparable incomes.
    • The median white single parent has 2.2 times more wealth than the median black two-parent household and 1.9 times more wealth than the median Latino two-parent household.
  • Poverty rates among African Americans have declined substantially: 34.7% in 1968 to 21.4% in 2016. Source.
    • Among whites: 10% in 1968 to 8.8% in 2016.
  • Great table showing the change in socioeconomic circumstances of blacks and whites in the US from 1968 to 2018: (Source)  
    • Most strikingly in that table… Median household wealth is 10 times higher for white Americans than black Americans (but it used to be 20 times higher).

Gender

  • There is a 7% unexplained wage gap between men and women in the US. Source.
    • Controlling for college major selection, occupational segregation, hours worked, unionization, education, race, ethnicity, age, and marital status.
  • Female leaders are evaluated slightly more negatively than equivalent male leaders (controlling for leadership style). Source.
    • The discrepancy is more pronounced for autocratic leadership styles, and vanishes for democratic leadership styles.
  • Most anthropologists hold there are no known societies that are/were unambiguously matriarchal. Source.
  • Experiments show that women value temporal flexibility relatively more than men, and men value income growth relatively more than women. This is the most powerful explanation of the wage gap. Source.
    • Right after college, wages are pretty similar between men and women, and the wage gap appears as time passes, indicating that ‘innate’ differences aren’t hugely at play (including bargaining ability and temperament).
    • 75% of the wage gap is due to differences within occupations, and only 25% across occupations.
    • Among the top-paying occupations (salary ≥ $60K), the within-occupation corrected pay gaps are biggest where there’s lots of self-employment (explained by self-employment being more demanding).
  • Symphony orchestras introduced blind auditions in the ‘90s, which served as a natural experiment that found significant gender bias against women. Source.
    • The analysis found that in a blind audition for preliminary rounds, the same woman was 9.3% more likely to be hired (from 19.3% to 28.6%), and the same man is 2.3% less likely to be hired.
    • For final rounds, the same woman was 14.8% more likely to be hired in a blind audition (from 8.7% to 23.5%).
    • Introduction of blind auditions also caused an explosion of female auditions.
  • The rate of false reporting for sexual assault is in the range of 2-8%. Source.
  • Estimates of the prevalence rate of campus sexual assault in the US vary hugely, from .61% to 27% of female students, depending on survey definitions and methodology. Source.
  • The percentage of trans men that report lifetime suicide attempts is 46%, trans women is 42%, LGB adults is 10-20%, and among the overall US population is 4.6%. Source.
    • Suicide attempt rates are lower (by about 9%) among trans women that are perceived by others as women, but are the same among trans men.

Other

  • “The IAT is a noisy, unreliable measure that correlates far too weakly with any real-world outcomes to be used to predict individuals’ behavior.” Source.
    • Many early studies on IAT as a predictor of discriminatory behavior had serious methodological problems, including falsification of data by an “overzealous undergraduate”.
    • IAT has a test-retest reliability of .55 on a scale from 0 to 1.
    • Meta-analyses of the IAT-behavior link show that race IAT scores are weak predictors of discriminatory behavior.
    • IAT tests done on fictional races that are identified as one oppressed and the other privileged show “implicit bias” against the oppressed group.
    • More noise in the data predictably biases the IAT score downwards
  • When people hear stereotyping is normal, they may do more of it. Source.
  • The “few antibias trainings that have been proven to change people’s behavior” look at bias as a habit that can be broken. The Prejudice and Intergroup relations lab at UW Madison has had promising results with these type of trainings. Source.

Some takeaways: A lot of the concerns of the social justice movement are clearly very valid and rooted in real issues of societal inequalities that have been handed down to us by previous generations. That said, however, there is a good degree of subtlety required in the analysis of race and gender issues that is missing in the mainstream social justice movement.

The oft-cited 23% gender gap is misleading to say the least, and the actual percentage due to discrimination is unclear but something less than 7%. The focus the Black Lives Matter movement puts on racially biased police shootings is unjustified, and the focus would be better placed on disparate sentencing and drug arrests. And more generally, the overall trends in racial inequality in the United States look extremely positive in virtually every dimension.

It also looks like current methods at identifying and intervening on things like implicit bias and stereotyping leave a lot to be desired. This has some serious implications for questions about actual practical solutions to issues of racism and sexism… even if we acknowledge their existence and seriousness, this does not mean that we should jump on board with any plausible-sounding diversity training program. The question of how to solve these issues is highly nontrivial and deserves a lot of careful attention.

The Scourge of Our Time

Human life must be respected and protected absolutely from the moment of conception. From the first moment of his existence, a human being must be recognized as having the rights of a person – among which is the inviolable right of every innocent being to life.

Since it must be treated from conception as a person, the embryo must be defended in its integrity, cared for, and healed, as far as possible, like any other human being.

Catechism of the Catholic Church, #2270, 2274

In this paper, Toby Ord advances a strong reductio ad absurdum of the standard pro-life position that life begins at conception. I’ve heard versions of this argument before, but hadn’t seen it laid out so clearly.

Here’s the argument:

  1. The majority (~62%) of embryos die within a few weeks of conception (mostly from failure to implant in the lining of the uterus wall). A mother of three children could be expected to also have had five spontaneous abortions.
  2. The Catholic Church promotes the premise that an embryo at conception has the same moral worth as a developed human. On this view, more than 60% of the world population dies in their first month of life, making this a more deadly condition than anything else in human history. Saving even 5% of embryos would save more lives than a cure for cancer.

  3. Given the 200 million lives per year at stake, those that think life begins at conception should be directing massive amounts of resources towards ending spontaneous abortion and see it as the Scourge of our time.

Here are two graphs of the US survival curve: first, as we ordinarily see it, and second, as the pro-lifer is obligated to see it:

Screen Shot 2018-04-05 at 2.22.12 PMScreen Shot 2018-04-05 at 2.22.22 PM

This is of course a really hard bullet for the pro-life camp to bite. If you’re like me, you see spontaneous abortions as morally neutral. Most of the time they happen before a pregnancy has been detected, leaving the mother unaware that anything even happened. It’s hard then to make a distinction between the enormous amount of spontaneous abortions naturally occurring and the comparatively minuscule number of intentional abortions.

I have previously had mixed feelings about abortion (after all, if our moral decision making ultimately comes down to trying to maximize some complicated expected value, it will likely be blind to whether is a real living being or just a “potential” living being), but this argument pretty much clinches the deal for me.

Facts about guns

I’ve recently come across some pretty surprising statistics regarding guns and violence, so I’ve decided to compile some of them here. I might update this if I run across more interesting things in the future.

  • Guns probably save many more lives than they end. Source (CDC and the National Research Council) and source (1995 criminology paper).
    • There are an estimated 500,000 to 3,000,000 defensive gun uses per year, and only about 300,000 violent gun crimes per year.
    • Defensive uses of guns in the US save around 162,000 lives per year (based off self-report), while overall non-suicide gun deaths only result in 11,000 deaths per year. Estimates of lives saved don’t include any military service, police work, or work as a security guard.
    • Defensive gun use reliably reduces injury rates among gun-using crime victims.

 

  • 1994 imposition of five-day waiting periods for firearms didn’t reduce the overall suicide rate. Source (paper in AMA journal).

 

  • Homicides have been on the decline for years, and guns aren’t nearly as dangerous as we think. Source (Freakonomics podcast).
    • There have been an average of 2 mass shootings and 16.5 fatalities a year from mass shootings (excluding gang shootings and armed robberies).
    • Any particular handgun in the US will kill somebody about once every 10,000 years.
    • A given swimming pool is 100 times more likely to lead to the death of a child than a particular gun is to lead to the death of a child.
    • Gun buyback programs are horribly ineffective – typically saving an estimated .0001 lives.

 

  • The “more likely to have your gun used against you” meme is super misleading; it refers to the increased chance of suicide in the home for men with guns, not intruders wielding your gun against you. Source for one of the original findings.

 

Side note: Upon reflection, I’m super suspicious of the 162,000 lives/year saved number. Obviously measuring the counterfactual “would you have died if not for X?” is hard, but the number seems impossibly large when you think about the current murder rate… it corresponds to almost an extra 50 per 100,000 where the current homicide rate is 4.9 per 100,000. The cited study looks at self-reported potential fatality, which seems quite plausibly skewed upwards (if people tend to exaggerate the lethality of their encounters).

Cults, tribes, states, and markets

The general problem solved by Civilization is how to get a bunch of people with different goals, each partial to themselves, to live together in peace and build a happy society instead of all just killing each other. It’s easy to forget just how incredibly hard of a problem this is. The lesson of game theory is that even two people whose interests don’t align can end up in shitty suboptimal Nash equilibria where they’re both worse off, by each behaving apparently perfectly rationally. Generalize this to twenty people, or a thousand people, or 300 million people, and you start to get a sense of how surprising it is that civilization exists on the scale that it does at all.

Yes, history tells many thousands of tales about large-scale defecting (civil wars, corruption, oppressive treatment of minority populations, outbreaks of violence and lawlessness, disputes over the line of succession) and the anarchic chaos that results, but it’s easy to imagine it being way, way worse. People are complex things with complex desires, and when you put that many people together, you should expect some serious failures. Hell, even a world of selfless altruists with shared goals would still have a tough time solving coordination problems of this size. Nobody thinks that the average person is better than this, so what gives?

Part of the explanation comes from psychologists like Jonathan Haidt and Joshua Greene, who detail the process by which humans evolved a moral sense that involved things like tit-for-tat emotional responses and tribalistic impulses. This baseline level of desire to form cooperative equilibria with friends helps push the balance away from chaos towards civilization, but it can’t be the whole explanation. After all, history does not reveal a constant base-rate of cooperative capacity between different humans, but instead tells a story of increasingly large-scale and complex civilizations. We went from thousands of small tribes scattered across Africa and Asia, to chiefdoms of tens of thousands individuals all working together, to vast empires that were home to millions of humans, and to today’s complex balance of global forces that make up a cooperative web that we are all part of. And we did this in the space of some ten thousand years.

This is not the type of timescale over which we can reasonably expect that evolution drastically reshaped our brains. Our moral instincts (love of kin, loyalty to friends, deference to authority, altruistic tendencies) can help us explain the cooperation we saw in 6000 B.C.E. in a tribe of a few hundred individuals. But they aren’t as helpful when we’re talking about the global network of cooperation, in which lawfulness is ensured by groups of individuals thousands of miles away, in which virtually every product that we rely on in our day-to-day life is the result of a global supply chain that brings together thousands of individuals that have never even seen each other, and in which a large and growing proportion of the world have safe access to hospitals and schools and other fruits of cooperation.

The explanation for this immense growth of humanity’s cooperative capacity is the development of institutions. As time passed, different bands of humans tried out different ways of structuring their social order. Some ways of structuring society worked better and lived on to the next generations of humans, who made further experiments in civilizational engineering. I think there is a lot to be learned by looking at the products of this thousand-year-long selection process for designing stable cooperative structures and seeing what happened to work best. In a previous post I described the TIMN theory of social evolution, which can be thought of as a categorization of the most successful organizational strategies that we’ve invented across throughout history. The following categorization is inspired by this framing, but different in many places.

The State: Cooperation is enforced by a central authority who can punish defectors. This central authority employs vast networks of hierarchically descending authority and systems of bureaucracy to be able to reach out across huge populations and keep individuals from defecting, even if they are nowhere near the actual people in charge. “State” is technically too narrow of a term, as these types of structures are not limited to governments, but can include corporate governance by CEOs, religious organizations, and criminal organizations like the Medellin Cartel. Ronfeldt uses the term Institution for this instead, but that sounds too broad to me.

The Market: Cooperation is not enforced by anybody, but instead arises as a natural result of the self-interested behaviors of individuals that each stand to gain through an exchange of goods. Markets have some really nice properties that a structure like the State doesn’t have, such as natural tendencies for exchange rates to equilibrate towards those that maximize efficiency. They also are fantastically good at dealing with huge amounts of complex information that a single central authority would be unable to parse (for instance, a weather event occurs on one coast of the United States, affecting suppliers of certain products, who then adjust their prices to re-equilibrate, which then results in a cascade of changes in consumer behavior across other markets, which also then react, and eventually the “news” of the weather event has traveled to the other coast, adjusting prices so that the products are allocated efficiently). A beautiful feature of the Market structure is that you can get HUGE amounts of people to cooperate in order to produce incredibly innovative and valuable stuff, without this cooperation being explicitly enforced by threats of punishment for defecting. Of course, Markets also have numerous failings, and the nice properties I discussed only apply for certain types of goods (those that are excludable and rival). When the Market structure extends outside of this realm, you see catastrophic failures of organization, the scale of which pose genuine threats to the continued existence of human civilization.

The Tribe: Cooperation is achieved not through a central authority or through mutually beneficial exchange, but through strong kinship and friendship relations. Tribe-type structures spring up naturally all the time in extended families, groups of friends, or shared living situations. Strong loyalty intuitions and communitarian instincts can serve to functionally punish defectors through social exclusion from their tribe, giving it some immunity to invading defector strategies. But the primary mechanism through which cooperation is enforced is the part of our psychology that keeps us from lying to our friends or stealing from our partners, even when we think we can get away with it. The problem with this structure is that it scales really poorly. Our brains can only handle a few dozen real friendships at a time, and typically these relationships require regular contact to be maintained. Historically, this has meant that tribes can only survive for fairly small groups of people that are geographically close to each other, and this is pretty much the range of their effectiveness.

The Cult: The primary idea of this category is that cooperation does not arise from self-interested exchange or from punishment for defectors, but from shared sacred beliefs or values. These beliefs often shape their holders’ entire world-views and relate to intense feelings of meaning, purpose, reverence, and awe. They can be about political ideology, metaphysics, aesthetics, or anything else that carries with it sufficient value as to penetrate into and reshape a whole worldview. The world’s major religions are the most striking examples of this, having been one of the biggest shapers of human behavior throughout history. Different members of the same religion can pour countless hours into dedicated cooperative work, not because of any sense of kinship with one another, but because of a sense of shared purpose.

The Pope won’t throw you in jail if you stop going to church, and you don’t go to make an exchange of goods with your priest (except in some very metaphorical sense that I don’t find interesting). You go because you believe deeply in the importance of going. There are aspects of Science that remind me of the Cult structure, like the hours of unpaid and anonymous work that senior scientists put into reviewing the papers of their colleagues in the field in order to give guidance to journals, grant-funders, or the researchers themselves on the quality of the material. When I’ve asked why spend so much time on doing this when they are not getting paid or recognized for their work, the responses I’ve gotten make reference to the value of the peer-review process and the joy and importance of advancing the frontier of knowledge. This type of response clearly indicates the sense of Science as a Sacred Value that serves as a driving force in the behavior of many scientists.

A Cult is like a Tribe in many ways, but one that is not limited to small sizes. Cults can grow and become global behemoths, inspiring feelings of camaraderie between total strangers that have nothing in common besides shared worldview. While the term ‘Cult’ is typically derogatory, I don’t mean to use it in this sense here. Cults are incredibly powerful ways to get huge numbers of people to work together, despite there being no obvious reason why they should do so to anybody on the outside of their worldview. And not only do they inspire large-scale cooperative behavior, but they are powerful sources of meaning and purpose in our lives. This seems tremendously valuable and loaded with potential for developing a better future society. Think about the strength of something like Judaism, and how it persevered through thousands of years of repeated extermination attempts, diasporas, and religious factioning, all the while maintaining a strong sense of Jewish identity and fervent religious belief. Taking the perspective of an alien visiting the planet, it might be baffling to try to understand why this set of beliefs didn’t die out long ago, and what constituted the glue holding the Jewish people together.

I think that the Cult structure is really undervalued in the circles I hang out in, which tend to focus on the irrationality that is often associated with a Cult. This irrationality seems natural enough; a Cult forms around a deeply held belief or set of beliefs, and strong identification with beliefs leads to dogmatism and denial of evidence. I wonder if you could have a “Cult of Rationality”, in which the “sacred beliefs” include explicit dedication to open-mindedness and non-dogmatic thinking, or if this would be in some sense self-defeating. There’s also the memetic aspect of this, which is that not just any idea is apt to become a sacred belief. It might be that the type of person that is deeply invested in rationality is exactly the type that would typically scoff at the idea of a Cult of Rationality, for instance.

Broad strokes: Tribes play on our loyalty and kinship intuitions. States play on our respect for authority. Markets play on our self-interest. And Cults play on our sense of reverence, awe, and sacredness.

Inequality and free markets

(This post is a summary of the main things I found while diving into the economics literature on income inequality. Will try to condense my findings as much as possible, but there’s a lot to talk about. TL;DR at the end for lazy folk)

First, a note on terminology

Before getting into the published research on this topic, I started by surveying articles from popular news sources. I was curious to ultimately compare the standard media presentation to what I’d find in the scientific literature.

A large portion of what I read consisted of debates about the meanings of terms – one person says that capitalism is a lightly regulated market with a social safety net, another says any social safety net is socialism and therefore not capitalism, another says that a free market with any form of government regulation is corporatism, not capitalism, and they all yell at each other about terms and don’t get anything done.

By contrast, the terminology used in the economics and public policy literature was consistent, straightforward, and clear. I’ll define the controversial terms right here at the start to avoid confusion. These definitions are in line with the way that the terms are used in the literature.

Economic freedom: A combination of factors including limited regulation of businesses, protected rights to own private property, trade freedom, and small government.

Free marketAn economic system characterized by high degrees of economic freedom. Continue reading “Inequality and free markets”

40 papers on inequality in one sentence each

(Preliminary post – am planning to write this all up more digestibly in a future post)

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Free markets and income inequality

Positive relationship

Capital in the 21st Century (Piketty)
When the rate of return on capital is greater than the rate of economic growth (as tends to occur in a free market given time), this leads to a concentration of wealth.

Capitalism and inequality: The negative consequences for humanity (Stevenson)
Inequalities are the inevitable result of capitalism, and we should abolish private property.

Envisioning Real Utopias (Wright)
Capitalism causes inequality through profit-seeking behavior and encouragement of innovation in technology.

How Privatization Increases Inequality (In the Public Interest)
Privatization of public goods causes inequality and inefficiency.

Income inequality and privatisation: a multilevel analysis comparing prefectural size of private sectors in Western China (Bakkeli)
More privatization corresponds to higher income inequality and lower individual outcome.

Economic Freedom, Income Inequality and Life Satisfaction in OECD Countries (Graafland, Lous)
Economic freedom causes higher income per capita, higher inequality, and overall lower happiness.

Negative relationship

Testing Piketty’s Hypothesis on the Drivers of Income Inequality: Evidence from Panel VARs with Heterogeneous Dynamics (Góes)
Piketty’s r – g hypothesis is wrong; the effect of r > g is not wealth concentration, but in fact mild wealth dispersion.

Economic Freedom and the Trade-off between Inequality and Growth (Scully)
Economic freedom overall reduces inequality, despite that economic growth increases inequality.

A Dynamic Analysis of Economic Freedom and Income Inequality in the 50 U.S. States: Empirical Evidence of a Parabolic Relationship (Bennett, Vedder)
Increases in economic freedom are associated with lower income inequality, and larger government is associated with greater inequality (with the exception of progressive taxation)

Economic freedom and equality: Friends or foes? (Berggren)
More economic freedom is associated with less inequality, because of trade liberalization and economic growth.

Economic Freedom And Income Inequality Revisited: Evidence From A Panel Error Correction Model (Apergis, Dincer, Payne)
Economic freedom reduces inequality in both the short and long run, and inequality causes less economic freedom.

Income inequality and economic freedom in the U.S. states (Ashby, Sobel)
More economic freedom causes larger per capita income, higher rates of economic growth, and less relative income inequality.

Other

On the ambiguous economic freedom–inequality relationship (Bennett, Nikolaev)
The relationship between economic freedom and inequality is ambiguous – it depends on how you choose your freedom and inequality measures.

***

Income inequality in the US

Trade

The Geography of Trade and Technology Shocks in the United States (Autor, Dorn, Hanson)
Two biggest causes of growing inequality are technology and trade, which are geographically separate in their effects.

Why are American Workers getting Poorer? China, Trade and Offshoring (Ebenstein, Harrison, McMillan)
Offshoring to China has led to US wage declines, but trade with China is much more important in explaining wage declines.

China Trade, Outsourcing and Jobs (Kimball, Scott)
China is a currency manipulator, encouraging a huge trade imbalance and hurting US workers.

The China Syndrome: Local Labor Market Effects of Import Competition in the United States (Autor, Dorn, Hanson)
China imports increase unemployment, lower labor force participation, and reduce wages in the US.

Technology

Rising Income Inequality: Technology, or Trade and Financial Globalization? (Jaumotte, Lall, Papageorgiou)
Technological progress is the primary cause of the rise of inequality in the last 2 decades, and increased globalization has had a minor impact.

World Economic Forum Outlook, April 2017: Gaining Momentum? (International Monetary Fund)
Decrease in bottom wages in advanced economies is driven mostly by technology and also by globalization.

It’s the Market: The Broad-Based Rise in the Return to Top Talent (Kaplan, Rauh)
Incomes at the top are driven by technological change in information and communications that increase the relative productivity of talented individuals through audience magnification.

Policy

Wage Inequality: A Story of Policy Choices (Mishel, Scmitt, Shierholz)
Income inequality is the result of erosion of the minimum wage value, decreased union power, industrial deregulation, traid policy, failure to use fiscal spending to stimulate the economy, bad monetary policy by the Fed, and rent-seeking behaviors from CEOs.

Controversies about the Rise of American Inequality: A Survey (Gordon, Dew-Becker)
Rising inequality is due to a low minimum wage, the decline in unionization, audience magnification, generous stock options, and unregulated corporate wage practices, not imports, immigration, or a lower labor share of income.

The Top 1 Percent in International and Historical Perspective (Alvaredo, Atkinson, Piketty, Saez)
Tax policy, decreased labor bargaining ability, and increased capital income explain the growing income share at the very top, not technology.

Rent-seeking

Declining Labor and Capital Shares (Barkai)
Capital shares have declined faster than labor shares in the last 30 years, and the decline of labor shares is due entirely to an increase in markups, which decreases output and consumer welfare.

The Pay of Corporate Executives and Financial Professionals as Evidence of Rents in Top 1 Percent Incomes (Bivens, Mishel)
CEO pay is driven by rent-seeking behavior.

Evidence for the Effects of Mergers on Market Power and Efficiency (Blonigen, Pierce)
Mergers in manufacturing from 1997 to 2007 haven’t significantly increased productivity or efficiency, but have increased markups.

Skill premium

Skills, education, and the rise of earnings inequality among the “other 99 percent” (Autor)
Income inequality is mostly due to an increasing skill premium, but is also due to a decline in the minimum wage value, automation, international trade, de-unionization, and regressive taxation.

Other

The long-run determinants of inequality: What can we learn from top income data? (Roine, Vlachos, Waldenström)
High growth benefits top income earners, tax progressiveness reduces top income shares, and trade openness doesn’t really do anything.

Why Hasn’t Democracy Slowed Rising Inequality? (Bonica, McCarty, Poole, Rosenthal)
Democracy hasn’t slowed the rise in inequality because of a political acceptance of free-market capitalism, immigration and a low turnout of poor voters, rising real income and wealth making social insurance less attractive, money influencing politics, and distortion of democracy through gerrymandering.

Billionaire Bonanza (Collins, Hoxie)
The people at the top are crazy rich and we should tax them.

***

More on free markets

Economic Freedom, Institutional Quality, and Cross-Country Differences in Income and Growth (Gwartney, Holcombe, Lawson)
More economic freedom leads to more rapid growth and higher income levels.

Economic Freedom of the World: 2017 Annual Report (Gwartney, Lawson, Hall)
Economic freedom is strongly correlated with rapid growth, higher average income per capita, lower poverty rates, higher income amount/share for the poorest 10%, higher life expectancy, more civil liberties and political rights, more gender equality, greater happiness, and better access to electricity, gas, and water supplies.

Agent-Based Simulations of Subjective Well-Being (Baggio, Papyrakis)
Economic growth weakly correlates with happiness, and pro-middle and balanced growth correspond to much higher levels of long-term happiness than pro-rich growth.

***

Decline of income inequality

Latin America

Deconstructing the Decline in Inequality in Latin America (Lustig, López-Calva, Ortiz-Juarez)
Income inequality declined in Latin American countries because of a declining skill premium and government redistribution.

China

Global Inequality Dynamics: New Findings from WID.world (Alvaredo, Chancel, Piketty, Saez, Zucman)
China’s top 1% income share has risen since 1980 (partially due to privatization), peaked near 2006, and is stable/slightly declining.

The great Chinese inequality turnaround (Kanbur, Wang, Zhang)
Drop in Chinese inequality is due to tightening of rural labor markets from migration, government investment in infrastructure in the rural sector, minimum wage policies, and social programs.

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Views on inequality

The Challenge of Shared Prosperity (Rivkin, Mills, Porter)
Business leaders care about inequality, and it’s in their perceived self-interest to reduce inequality.

How Much (More) Should CEOs Make? A Universal Desire for More Equal Pay. (Kiatpongsan, Norton)
Everybody across all socioeconomic classes wants less inequality.

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Minimum wage

Minimum Wages and Employment (Neumark, Wascher)
Most studies show that minimum wages reduce employment of low-wage workers.

The Effects of a Minimum-Wage Increase on Employment and Family Income (Congressional Budget Office)
Increases in minimum wage would cause unemployment but have a net positive real income effect.