Results for “the Labor Share”
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How much do schools mediate the international transmission of income?

Not that much.  From Jesse Rothstein:

Chetty et al. (2014b) show that children from low-income families achieve higher adult incomes, relative to those from higher income families, in some commuting zones (CZs) than in others. I investigate whether children’s educational outcomes help to explain the between-CZ differences. I find little evidence that the quality of schools is a key mechanism driving variation in intergenerational mobility. While CZs with stronger intergenerational income transmission have somewhat stronger transmission of parental income to children’s educational attainment and achievement, on average, neither can explain a large share of the between-CZ variation. Marriage patterns explain two-fifths of the variation in income transmission, human capital accumulation and returns to human capital each explain only one-ninth, and the remainder of the variation (about one-third) reflects differences in earnings between children from high- and low-income families that are not mediated by human capital. This points to job networks and the structure of local labor and marriage markets, rather than the education system, as likely factors influencing intergenerational economic mobility.

Here is the NBER working paper.

Apprenticeships

The Richmond Fed has a good overview of apprenticeships in the United States and some of the academic literature:

According to a 2013 World Bank and International Labour Office study, only about 0.3 percent of the total U.S. workforce is in registered apprenticeships — about a 12th of the share in Germany. But some states, including South Carolina, have expanded “dual system” apprenticeships in recent years by building partnerships between colleges and firms and, in some cases, offering tax credits. Through the state’s “Apprenticeship Carolina” program, about 27,000 workers have been trained since 2007, including many at foreign-owned firms. Nationwide, there were about 505,000 registered apprentices in 2016, according to the U.S. Labor Department.

The review offers some useful ideas on why apprenticeships are less common in the United States. One problem is cultural:

In other countries, it’s more likely that college is seen as one option among many, and apprenticeships are con­sidered a worthwhile route to middle-class employment. In the United States, parents are more likely to see college as a vital investment without considering other alterna­tives…

As I said in Launching the Innovation Renaissance:

The U.S. has paved a single road to knowledge, the road through the classroom. “Sit down, stay quiet, and absorb. Do this for 12 to 16 years,” we tell the students, “and all will be well.” Most of them, however, crash before they reach the end of the road — some drop out of high school and then more drop out of college. Who can blame them? Sit-down learning is not for everyone, perhaps not even for most people. There are many roads to knowledge.

How much do public sector unions matter politically?

A recent paper by Mr. Hertel-Fernandez and two colleagues may foretell what Democrats can expect if Mr. Uihlein and his fellow philanthropists succeed. It found that the Democratic share of the presidential vote dropped by an average of 3.5 percentage points after the passage of so-called right-to-work laws allowing employees to avoid paying union fees. That is larger than Democrats’ margin of defeat in several states that could have reversed their last three presidential losses.

That is from Noam Scheiber and Kenneth P. Vogel at the NYT.  You may have read that “…the Supreme Court [Monday] hears a case that could cripple public-sector unions by allowing the workers they represent to avoid paying fees.”  Yet the Democratic Party seems increasingly dependent on such funds.  By the way, the cited research paper, by Feigenbaum, Hertel-Fernandez, and Williamson, also reports this:

The weakening of unions also has large downstream effects both on who runs for office and on state legislative policy. Fewer working class candidates serve in state legislatures and Congress, and state policy moves in a more conservative direction following the passage of right-to-work laws.

So the stakes here are probably high.

Georgescu-Roegen vs. Henry George vs. Wakefield vs. Solow

For Georgescu-Roegen, the ultimate fixed factor is the laws of physics, due to entropy.  Economic systems cannot receive an ongoing influx of both energy and matter indefinitely, and so eventually they reach limits to growth.  At that margin substitutability breaks down and catastrophe ensues.  To check this outcome, we must find a way to live with slower rates of economic growth, and eventually a zero or negative rate of economic growth.  For him this is as much a criticism of Marxism as of capitalism, and he wrote about making do with agrarianism.  Consistent with this view, his consumer theory portrayed wants as hierarchical rather than smoothly substitutable.  He would have liked this Alex post on not all gdp being created equal.

For Henry George, the ultimate fixed factor is land, due to the nature of space.  There is always enough energy, due to Julian Simon-like arguments that allow capital and ingenuity to be substituted for all other fixed resources, except for  land.  Economic systems cannot create or activate more land indefinitely, and thus the marginal benefits of growth are captured mostly by landowners, to the detriment of social welfare.  At this final margin substitutability breaks down and widespread poverty ensues.  To check this outcome, the returns to land must be redistributed to the rest of society, ideally through a single tax.  Unlike many environmentalists, he wasn’t worried about soil erosion because land is land.

For 19th century colonial theorist Edward Gibbon Wakefield, human beings and the positive externalities from human contact are the ultimate scarcity.  If you let people settle the countryside, you will have an underpopulated republic of deplorables — there is no substitute for city life!  So the price of external farm land has to be kept high, so that settlers cluster in the city and as wage laborers contribute to ongoing innovation, urbanity, and economic growth.  Wakefield worked in New Zealand — did they listen?  If Wakefield were around today, maybe he would want to cut off broadband to large swathes of the Midwest and Appalachia.  Justly or not, he cited rural French Canadians as an example of what he was worried about, whereas Georgescu-Roegen might have appreciated their agrarianism.

For Robert Solow, ultimate fixed factors do not come into play and substitutability reigns at all relevant margins.  If some resources become scarce, just substitute in more capital.  Growth continues forever, though it can be accelerated by investing more in the ultimate growth driver, namely new ideas.  Georgescu-Roegen argued that Solow did not incorporate the idea of entropy or insights from science.

Is it proper that Solow’s model should have so dominated in the economics profession?

You cannot understand or evaluate environmentalism without revisiting these debates.  One reason many environmental critiques do not seem so strong is that they are trying to measure costs in a Solow-like framework, when in fact the underlying model might involve core non-substitutabilities, a’la the other thinkers.  Unless you stress how not all gdp is created equal, the costs of bad environmental outcomes won’t show up as very high, not relative to total wealth.  It will appear as if you always can substitute away from bearing those costs full on, even though perhaps you cannot.

My own view is that the ultimate scarcity in today’s system comes from what the political economy of our societies and polities can bear, but that must await another day.

Monday assorted links

1. America is still a suburban nation.

2. “Evidence from applying this framework to these data indicates that between and 45 and 75 percent of the
burden of corporate taxes is borne by labor with the balance borne by capital.”  That estimate seems high to me, but this paper is a serious effort.

3. Germany bans children’s smart watches.

4. “One of the friends who helped her through that period was Ivanka Trump, though their relationship has grown more complicated.”  This article is really quite something.  NYT, you have to keep on reading to grasp the narrative.

5. 100 cryptocurrencies in four words or less.  You can play this game in your car with the children.

6. Most popular names for girls, state-by-state, year-by-year  What is it with Nebraska and “Addison”?

Is this the world you should want?

We use a machine learning algorithm to identify potential social capital measures that best predict neighborhood-level variation in labor market networks. We find evidence suggesting that smaller and less centralized schools, and schools with fewer poor students, foster social capital that builds labor market networks, as does a larger Republican vote share. The presence of establishments in a number of non-profit oriented industries are identified as predictive of strong labor market networks, likely because they either provide public goods or facilitate social contacts. These industries include, for example, churches and other religious institutions, schools, country clubs, and amateur or recreational sports teams or clubs.

That is from a new NBER working paper by Brian J. Asquith, Judith K. Hellerstein, Mark J. Kutzbach, and David Neumark.

Sunday assorted links

1.  Is the BBC tailoring some content to do away with the plot?

2. Mark Koyama reviews Peter Leeson.

3. Paul Krugman responds on corporate tax incidence.  I see this as a classic case of “as usual the truth lies somewhere in between.”  In response to Paul, foreign capital goes after American rents all the time (ask Toyota), exchange rate overshooting models have little validity in the data (“news” moves exchange rates), and I don’t see why the long-run is a bad guide to tax policy.  That said, I do think more of the burden of capital taxation falls on capital than labor, but plenty falls on labor nonetheless.  See the most recent comments from Summers, stronger arguments overall.

4. “The Seattle Sperm Bank categorizes its donors into three popular categories: “top athletes,” “physicians, dentists and medical residents,” and “musicians.””  Link here.

5. Excellent Scott Sumner post on an excellent John Cochrane post.

6. The Saudis and the Kurds.

Is the great wage stagnation over?

Possibly so, though some more good years would be nice, to say the least.  To some extent this could be noise, or delayed catch-up growth.  Still, there seems to be a break in the previous trend:

In 2015, median household incomes rose by 5.2 percent. That was the fastest surge in percentage terms since the Census Bureau began keeping records in the 1960s. Women living alone saw their incomes rise by 8.7 percent. Median incomes for Hispanics rose by 6.1 percent. Immigrants’ incomes, excluding naturalized citizens, jumped by over 10 percent.

The news was especially good for the poor. The share of overall income that went to the poorest fifth increased by 3 percent, while the share that went to the affluent groups did not change. In that year, the poverty rate fell by 1.2 percentage points, the steepest decline since 1999.

…The numbers for 2016 have just been released by the Census Bureau, and the trends are pretty much the same. Median household income rose another 3.2 percent, after inflation, to its highest level ever. The poverty rate fell some more. The share of national income going to labor is now rising, while the share going to capital is falling.

That is from the new David Brooks column.

The Gender Gap in STEM is NOT What You Think

In a new NBER working paper David Card and Abigail Payne have a stunning new explanation of the gender gap in STEM at universities. The conventional wisdom is that the gender gap is about women and the forces–discrimination, sexism, parenting, aptitudes, choices; take your pick–that make women less likely to study in STEM fields. Card and Payne are saying that the great bulk of the gap is actually about men and their problems. At least that is my interpretation of their results, the authors, to my mind, don’t clearly state just how much their results run against the conventional wisdom. (Have I misunderstood their paper? We shall see.)

The authors are using a large data set on Canadian high school students that includes data on grade 12 (level 4) high school classes and grades and initial university program. Using this data, the authors find that females are STEM ready:

…At the end of high school, females have nearly the same overall rate of STEM readiness as males, and
slightly higher average grades in the prerequisite math and science courses.  The mix of STEM related courses taken by men and women is different, however, with a higher concentration of women in biology and chemistry and a lower concentration in physics and calculus.

Since females are STEM-ready when leaving high school you are probably thinking that the gender gap must be a result either of different entry choices conditional on STEM-readiness or different attrition rates. No. Card and Payne say that entry rates and attrition rates are similar for males and females. So what explains why males are more likely to take a STEM degree than females?

The main driver of the gender gap is the fact that many more females (44%) than males (32%) enter university.  Simply assuming that non‐STEM ready females had the same university entry rate as non‐STEM ready males would
narrow the gender gap in the fraction of university entrants who are STEM ready from 14
percentage points to less than 2 percentage points.

Moreover:

On average, females have about the same average grades in UP (“University Preparation”, AT) math and sciences courses as males, but higher grades in English/French and other qualifying courses that count toward the top 6 scores that determine their university rankings. This comparative advantage explains a substantial share of the gender difference in the probability of pursing a STEM major, conditional on being STEM ready at the end of high school.

Put (too) simply the only men who are good enough to get into university are men who are good at STEM. Women are good enough to get into non-STEM and STEM fields. Thus, among university students, women dominate in the non-STEM fields and men survive in the STEM fields. (The former is mathematically certain while the latter is true only given current absolute numbers of male students. If fewer men went to college, women would dominate both fields). I don’t know whether this story will hold up but one attractive feature, as a theory, is that it is consistent with the worrying exit from the labor market of men at the bottom.

If we accept these results, the gender gap industry is focused on the wrong thing. The real gender gap is that men are having trouble competing everywhere except in STEM.

Hat tip: Scott Cunningham.

The Rise of Market Power?

I am referring to the new Jan De Loecker and Eeckhout paper that is starting to get some buzz (ungated versions here).  Their major result, quite simply, is:

In 1980, average markups start to rise from 18% above marginal cost to 67% now.

That sounds like big news, and probably it is.  But I don’t think the authors are doing enough to interpret their results.  There are two ways these mark-ups go could up: first there may be more outright monopoly, second there may be more monopolistic competition, with high mark-ups but also high fixed costs, and firms earning close to zero profits.  The two scenarios have very different distributional implications, and different policy implications as well.

Consider my local Chinese restaurant.  Maybe the fixed cost of a restaurant has gone up, due to rising rents and the need to invest in information technology.  That can mean higher fixed costs, but still a positive mark-up at the margin.  The marginal meal ordered there probably is taken from food inventory, representing almost pure profit.  They are happy when I walk in the door!  Yet they are not getting super-rich, rather they are earning the going risk-adjusted rate of return.

Now, if the economy is moving more toward monopolistic competition, higher mark-ups don’t explain other distributional changes in the macro data, such as the decline of labor’s share, as cited by the authors.

The authors consider whether fixed costs have risen in section 3.5.  They note that measured corporate profits have increased significantly, but do not consider these revisions to the data.  Profits haven’t risen by nearly as much as the unmodified TED series might suggest.  I do see super-high profits in firms such as Google and Facebook, however.  Those companies for the most part have lowered margins compared to the status quo ex ante when the relevant service cost infinity.  “Mark-ups over time” measurements become very tricky when new products are being introduced.

The authors argue that the rising value of the stock market (plus dividends) is further evidence for rising profits.  Maybe, but keep in mind that the public market is less and less representative of corporate America.  It also has significant survivorship bias, based on size, as superfirms are rising and the number of small and mid-sized companies listing has plummeted since the 1980s.  I suspect what has really happened is that large firms are way more profitable, partly because of globalization, not because they are doing such a major rip-off of American consumers.  In most areas we have more choice, maybe much more choice, than before.  I would be very surprised if it turned out that most good ol’ normal mid-sized service sectors firms saw a nearly fourfold increase of the profit rate relative to gdp since 1980, as the authors are suggesting might be true for the American economy as a whole.  Health care, maybe, I grant that.

Or consider old-style manufacturing.  The authors report that “Markups have gone up in all industries…”  This is in an environment where numerous other highly credible empirical pieces, backed also by good anecdotal observation, cite rising competition from Chinese and other global suppliers.  How does that all square?  I side with David Autor on that one, yet it is reported that those mark-ups, in the sectors where American business now competes with the Chinese, are rising as measured.  I am worried the paper does not at all try to square this tension.  Surely it means the measures are significantly wrong in some way.

Similarly, the time series for manufacturing output is a pretty straight upward series, especially once you take out the cyclical component.  If there is some massive increase in monopoly power, where does the resulting output restriction show up in that data?  Once you ask that simple question, the whole story just doesn’t add up.

Or ask yourself a simple question — in how many sectors of the American economy do I, as a consumer, feel that concentration has gone up and real choice has gone down?  Hospitals, yes.  Cable TV?  Sort of, but keep in mind that program quality and choice wasn’t available at all not too long ago.  What else?  There are Dollar Stores, Wal-Mart, Amazon, eBay, and used goods on the internet.  Government schools.  Hospitals.  Government.  Did I mention government?

I do think concentration in the American economy is up modestly, as I argue in The Complacent Class, and probably profits are up too, including relative to gdp.  Hospitals are the most significant practical problem in this regard, and again that squares with the anecdotal evidence.  As it stands, I don’t yet see that this paper has established its central claim that measured rising mark-ups indicate truly higher profits in a significant way.

Addendum: The section on macroeconomic implications I think is premature (they cite the declining labor share, declining capital share, decline of low skill wages, declining LFP, declining labor market flows, declining migration rates, and slower productivity growth).  They should try to calibrate this, to see if the postulated effects possibly might work out as suggested, and by the way RBC research really is useful.  And timing matters too!  Given the mechanisms the authors cite, what kind of timing lags are possible?  It would seem for instance that when mark-ups rise, real wages fall right then and there, due to the higher prices.  Is that what the data show?  Do the productivity growth effects, and their weird timing with 1973 and 1995-2004 breaks, fit into the same framework?  And so on.  I would be very surprised if the pieces fit together in even a crude sense.

And here are remarks by Rohan Shah.  I thank Alex and Robin for useful comments and discussion, of course without implicating them.

Canada fact of the day

Canada’s foreign-born population is more educated than that of any other country on earth. Immigrants to Canada work harder, create more businesses and typically use fewer welfare dollars than do their native-born compatriots.

Here is the full NYT piece by Jonathan Tepperman.  It remains interesting, of course, that Canada has produced so few noteworthy international business brands.  Could it be that Canada gets the labor right but America rules when it comes to the capital?

The Paradox of India’s Vacant Houses

Walking around Mumbai I see many vacant houses and apartments and the statistics verify what I see on the ground, an astounding 15% of Mumbai’s housing stock lies vacant. In Mumbai, the slums are full but thousands of homes lie vacant. The share of vacant housing in Mumbai is only slightly higher than the national average of 12% (In comparison, the United States has a vacant homeowner rate of less than 2%.) Sahil Gandhi and Meenaz Munshi, two of my colleagues at the IDFC Institute, examine the paradox of India’s vacant housing:

Urban India has a severe shortage of housing, yet Indian cities have many vacant houses. According to the census of India 2011, out of the 90 million residential census units, 11 million units are vacant; that is about 12% of the total urban housing stock consists of vacant houses.

Gandhi and Munshi focus on two issues. First, government built housing is shockingly underused. In one centrally sponsored housing project in Delhi, for example, the government built 27,344 units and 26,288 lie vacant! Government housing has often been built far from jobs and public transport and in some cases the houses have been of low quality and lacking basic infrastructure. As the government acknowledged:

“In spite of the continuous efforts by the government, slum dwellers are reluctant to move to the houses built by the government due to lack of proper infrastructure and means of livelihood,” the statement to Parliament said, explaining further that the new houses often lack electricity and water, cheaply available–often through illegal connections–in slums. The new houses are usually not close to workplaces, the ministry acknowledged.

People living in India’s urban slums have often preferred to stay living in the slums rather than move to government built housing–which is really saying something.

Government built housing, however, is only a small part of the housing stock. The bigger problem is that owners of private housing would prefer to see their housing capital lie vacant than to rent.

Renting out a property is a risky affair in India due to perceived (often, correctly) difficulties of evicting tenants, particularly under the onerous regulatory framework of the various rent control laws that are still applicable across states in India.

….These laws fix rent for properties at much below the prevailing market rates and make eviction of tenants difficult. As a result, they increase perception of risk and distort incentives for renting. To get around this, leave and licence agreements are being used as an alternate legal mechanism to rent properties. Despite this, the legacy of rent control and policy uncertainty creates reluctance to rent. To provide an example of policy uncertainty, in 1973 the Maharashtra government brought the then existing leave and licensees contracts under rent control (Gandhi et al 2014). Instances like this have had an adverse impact on the confidence of investors and landlords.

As I pointed out in A Twisted Tale of Rent Control in the Maximum City it can take courts decades to resolve legal disputes, especially those involving land and tenancy so this further disincentives rental housing.

As Gandhi and Munshi note, the problems in the housing market exacerbate probems in the labor market (just as in the United States):

Without a vibrant rental housing market labour markets cannot function efficiently (see Shah 2013). Bringing the private vacant housing stock into the rental market and understanding and resolving the reasons for vacancy in the government provided stock could significantly improve efficiency in utilising available stock of housing.

See Gandhi and Munshi’s blog post and a forthcoming IDFC report on housing for more details.

The Economic Consequences of Partisanship in a Polarized Era

That is the title of a new paper by Christopher McConnell, Yotam Margalit, and Neil Malhotra.  The main (and sad) point is that even in non-political settings we trust other people less if they have different political views than ours:

With growing affective polarization in the United States, partisanship is increasingly an impediment to cooperation in political settings. But does partisanship also affect behavior in non-political settings? We show evidence that it does, demonstrating its effect on economic outcomes across a range of experiments in real-world environments. A field experiment in an online labor market indicates that workers request systematically lower reservation wages when the employer shares their political stance, reflecting a preference to work for co-partisans. We conduct two field experiments with consumers, and find a preference for dealing with co-partisans, especially among those with strong partisan attachments. Finally, via a population-based, incentivized survey experiment, we find that the influence of political considerations on economic choices extends also to weaker partisans. Whereas earlier studies show the political consequences of polarization in American politics, our findings suggest that partisanship spills over beyond the political, shaping cooperation in everyday economic behavior.

For the pointer I thank Daniel Klein.