Category: Data Source
Do land use restrictions increase restaurant quality and diversity?
Daniel Shoag and Stan Veuger say yes, but I am not so convinced.
It turns out that metrics of land use restrictions are correlated with restaurant quality, across cities. To cut to the chase, Los Angeles ranks number one on this index, and I can agree with that assessment in terms of food quality and also diversity. (Other good food cities, such as Miami, also rank high on the index.) Yet for the metropolitan area near L.A., food is generally best where the land use restrictions are least binding. Beverly Hills and Santa Monica have some decent fancy restaurants, but the real gems are to be found elsewhere, in fringes such as northeast Hollywood, Silverlake (gentrifying a bit too much these days, however), north Orange County, Monterey Park, and so on. Pasadena has hardly anywhere excellent to eat.
I would suggest an alternative channel of influence: urban areas with high inequality have both better food (see An Economist Gets Lunch, but basically imagine the wealthier people generating demand and the poorer people supplying cheap labor) and more building restrictions. The wealthier people decide to do something to keep the poorer people out of their neighborhoods.
I hate to say “correlation does not prove causation,” but…correlation does not prove causation.
Sentences to ponder — *Who Wants to Run?*
Incumbent polarization is also consistently below that of new candidate polarization.
That is from the forthcoming interesting book by Andrew B. Hall. He also argues that while voters can elect moderates, they cannot force more extreme candidates to govern as moderates. Furthermore, devaluing office leads to more extreme candidates being interested in running for office.
The book’s argument is that who runs for office helps determine the level of ideological polarization in the legislature.
Engagement with “fake news” on Facebook is declining
In recent years, there has been widespread concern that misinformation on social media is damaging societies and democratic institutions. In response, social media platforms have announced actions to limit the spread of false content. We measure trends in the diffusion of content from 569 fake news websites and 9,540 fake news stories on Facebook and Twitter between January 2015 and July 2018. User interactions with false content rose steadily on both Facebook and Twitter through the end of 2016. Since then, however, interactions with false content have fallen sharply on Facebook while continuing to rise on Twitter, with the ratio of Facebook engagements to Twitter shares decreasing by 60 percent. In comparison, interactions with other news, business, or culture sites have followed similar trends on both platforms. Our results suggest that the relative magnitude of the misinformation problem on Facebook has declined since its peak.
That is from a new NBER working paper by Allcott, Gentzkow, and Yu.
San Francisco fact of the day
San Francisco has more drug addicts than it has students enrolled in its public high schools, the city Health Department’s latest estimates conclude.
There are about 24,500 injection drug users in San Francisco — that’s about 8,500 more people than the nearly 16,000 students enrolled in San Francisco Unified School District’s 15 high schools
Here is more, via an MR reader.
The Impact of the Affordable Care Act: Evidence from California’s Hospital Sector
The Affordable Care Act (ACA) authorized the largest expansion of public health insurance in the U.S. since the mid-1960s. We exploit ACA-induced changes in the discontinuity in coverage at age 65 using a regression discontinuity based design to examine effects of the expansion on health insurance coverage, hospital use, and patient health. We then link these changes to effects on hospital finances. We show that a substantial share of the federally-funded Medicaid expansion substituted for existing locally-funded safety net programs. Despite this offset, the expansion produced a substantial increase in hospital revenue and profitability, with larger gains for government hospitals. On the benefits side, we do not detect significant improvements in patient health, although the expansion led to substantially greater hospital and emergency room use, and a reallocation of care from public to private and better-quality hospitals.
That is from a new NBER working paper by Mark Duggan, Atul Gupta, and Emilie Jackson.
IQ economics > behavioral economics
We use administrative and survey-based micro data to study the relationship between cognitive abilities (IQ), the formation of economic expectations, and the choices of a representative male population. Men above the median IQ (high-IQ men) display 50% lower forecast errors for inflation than other men. The inflation expectations and perceptions of high-IQ men, but not others, are positively correlated over time. High-IQ men are also less likely to round and to forecast implausible values. In terms of choice, only high-IQ men increase their propensity to consume when expecting higher inflation as the consumer Euler equation prescribes. High-IQ men are also forward-looking — they are more likely to save for retirement conditional on saving. Education levels, income, socio-economic status, and employment status, although important, do not explain the variation in expectations and choice by IQ. Our results have implications for heterogeneous-beliefs models of household consumption, saving, and investment.
That is from a new NBER working paper by Francesco D’Acunto, Daniel Hoang, Maritta Paloviita, and Michael Weber.
Does “putting yourself in the shoes of others” reduce attitude change?
From Rhia Catapano, Zakary L. Tormala, and Derek D. Rucker:
Counterattitudinal-argument generation is a powerful tool for opening people up to alternative views. On the basis of decades of research, it should be especially effective when people adopt the perspective of individuals who hold alternative views. In the current research, however, we found the opposite: In three preregistered experiments (total N = 2,734), we found that taking the perspective of someone who endorses a counterattitudinal view lowers receptiveness to that view and reduces attitude change following a counterattitudinal-argument-generation task. This ironic effect can be understood through value congruence: Individuals who take the opposition’s perspective generate arguments that are incongruent with their own values, which diminishes receptiveness and attitude change. Thus, trying to “put yourself in their shoes” can ultimately undermine self-persuasion. Consistent with a value-congruence account, this backfire effect is attenuated when people take the perspective of someone who holds the counterattitudinal view yet has similar overall values.
Yes, yes the replication crisis. Still, this may be a useful countertonic against the notion that trying to understand other people always yields high returns. Perhaps the better approach is simply to drain yourself of values when considering the perspectives of other people.
Eric Kaufmann’s *Whiteshift*
The subtitle is Populism, Immigration, and the Future of White Majorities, and might this be the must-read book of the year? It is “to the right” of my views on immigration policy, but still I found it informative, fascinating, and relevant on just about every page. Here is the author’s opening framing:
First, why are right-wing populists doing better than left-wing ones? Second, why did the migration crisis boost populist-right numbers sharply while the economic crisis had no overall effect? If we stick to data, the answer is crystal clear. Demography and culture, not economic and political developments, hold the key to understanding the populist moment.
Kaufmann, by the way, is Professor of Politics at Birkbeck in London, but hails from Canada. As for the basics, there is this in addition:
Much of this book is concerned with the clash between a rising white tribalism and an ideology I term ‘left-modernism.’
If you wish to understand “all the stuff that is going on today,” maybe Whiteshift is the best place to start? Kaufmann, by the way, is not a mega-pessimist and he seems to think that “broadening the category of white” will lead to a “good enough” solution for many of the Western democracies. Still, much of this book is disturbing, especially for readers who might consider themselves to be on the left. Most of all, he sees “whiteness” as a legitimate cultural interest, and one which, if we deny, will lead to more overt racism rather than less.
Here is Kaufmann on Brexit, brutal but I think largely correct:
…many analysts bring a political lens to their analysis which inclines them to want to tell a story about wealth and power. Over half the country voted Leave and we can’t condemn such a large group. So we pretend populist voters are motivated by the same things we are: economic stagnation (for fiscal conservatives) or, for left-liberals, inequality and resentment of the establishment.
Kaufmann also has strong evidence for the “immigration backlash” hypothesis, for instance:
…a higher immigrant share is a consistent predictor of higher opposition to immigration over time…in Western Europe there is a .63 correlation between projected 2030 Muslim share and the highest poll or vote share a populist-right party has achieved.
On top of all of its other virtues, Whiteshift provides the best intellectual history of the immigration debates I have seen. It also has the best discussion of why Canada seems to be different when it comes to immigration, and I may cover that in another blog post.
Kaufmann does very much argue that the left-wing values of diversity and solidarity stand very much in conflict. How is this for an “ouch” sentence?:
Casual observation would suggest that being black in diverse San Francisco is not necessarily better than being black in white-majority Fargo [North Dakota].
By no means am I convinced by everything in this book. I don’t think European politics can handle systematized refugee camps in Europe itself (rather than Turkey and Lebanon), and most of all I am not sure that recognizing whiteness as a legitimate cultural concern will diminish rather than boost racism. I wish he had said much more about gender, and how immigration and gender issues interact.
Nonetheless this book has more points of interest yet, including an original and persuasive take on residential clustering, a good analysis of racial intermarriage, and a sustained argument that avoiding the “no dominant ethnic group” approach of Guyana and Mauritius is imperative.
Strongly recommended, it is out next week, you can pre-order here.
Cable TV really does matter for political outcomes
This is only one estimate, from Gregory J. Martin and Ali Yurukoglu, but nonetheless it is backed by a plausible identification stragegy and this is very interesting research:
We find that in a hypothetical world without Fox News but with no other changes, the Republican vote share in the 2000 election would have been about half a percentage point lower. By 2008, the effect of there being no Fox News rises to more than six percentage points – a result of the channel’s increasing viewership and increasingly conservative slant over this period.
Unfortunately, that is followed by a real clunker of a paragraph:
All of these results suggest that citizens and regulators have reason to be concerned about media consolidation and the non-market objectives of media owners. A hypothetical monopolist controlling all three channels and interested in electoral influence would have enormous power over election outcomes.
How many things are wrong in those two sentences? How can a profession supposedly devoted to rigor allow such sloppy thought to continue? Here are a few of my objections:
1. The real story in this paper is about Fox News, and Fox — whether you like it or not — is very much an alternative to the mainstream media approach. If you don’t like Fox, you might have preferred the “bad old days” of three dominant and pretty similar networks.
2. Do the authors have any argument that “the non-market objectives of media owners” are bad? No. In fact, there is a longstanding literature that “the market objectives of media owners” are bad, whether you agree or not. Do they really just mean to say “I don’t like Fox News”? Just say it. Don’t worry, I don’t think most authors, especially of media studies, are objective to begin with.
3. Don’t the results suggest we should perhaps be worried about polarized news rather than consolidated news ownership?
4. Is it possible to consolidate news ownership in a world with so many cable channels and so many news alternatives to cable? I strongly doubt this, but in any case it is not something the authors have shown. Instead, they have shown that a renegade news channel can rise to a position of great political influence.
5. Might it have been better simply to have written?: “I am really worried that Rupert Murdoch, in the absence of regulation, could buy up all the news channels and implement political outcomes I do not like.” That is an entirely coherent argument, and I wonder if it isn’t what the authors were getting at but couldn’t bring themselves to write it and thus were forced into the most illogical two sentences I have read this week.
6. By the way, Murdoch owns a lot of media properties and most of them have political stances, and most of all tones, fairly different from that of Fox News. Worth a ponder.
For the pointer I thank the excellent Samir Varma.
How productive are owner-managers?
We find that the average premature death of a million-dollar-earning owner causes an 82% decline in firm profits.
And:
The data reveal a striking world of business owners who prevail at the top of the income distribution. We find that most private business profits reflect the return to owner human capital. Overall, the top earners are predominantly working rich, and the majority of top income accrues to the human capital of wage earners and entrepreneurs, not idle owners of financial and physical capital.
That is from Matthew Smith, Danny Yagan, Owen M. Zidar, and Eric Zwick, “Capitalists in the Twenty-First Century,” a new research paper.
Latino approval of Donald Trump
From a recent NPR/PBS poll:
African-American approval: 11%
White approval: 40%
Latino approval: 50%
I thank an MR reader for the pointer.
Declining Labor Force Growth Explains Declining Dynamism
The best paper I have read in a long time is Hopenhayn, Neira and Singhania’s From Population Growth to Firm Demographics: Implications for Concentration, Entrepreneurship and the Labor Share. HNS do a great job at combining empirics and theory to explain an important fact about the world in an innovative and surprising way. The question the paper addresses is, Why is dynamism declining? As you may recall, my paper with Nathan Goldschlag, Is regulation to blame for the decline in American entrepreneurship?, somewhat surprisingly answered that the decline in dynamism was too widespread across too many industries to be explained by regulation. HNS point to a factor which is widespread across the entire economy, declining labor force growth.
Figure Two of the paper (at right) looks complicated but it tells a consistent and significant story. The top row of the figure shows three measures of declining dynamism: the rise in concentration which is measured as the share of employment accounted for by large (250+) firms, the increase in average firm size, and the declining exit rate. The bottom row of the figure shows the same measures but this time conditional on firm age. What we see in the bottom figure is two things. First, most of the lines jump around a bit but are generally flat or not increasing. In other words, once we control for firm age we do not see, for example, increasing concentration. Peering closer at the bottom row the second thing it shows is that older firms account for a larger share of employment, are bigger and have lower exit rates. Putting these two facts together suggests that we might be able to explain all the trends in the top row by one fact, aging firms.
So what explains aging firms? Changes in labor force growth have a big influence on the age distribution of firms. Assume, for example, that labor force growth increases. An increase in labor force growth means we need more firms. Current firms cannot absorb all new workers because of diminishing returns to scale. Thus, new workers lead to new firms. New firms are small and young. In contrast, declining labor force growth means fewer new firms. Thus, the average firm is bigger and older.
HNS then embed this insight into a dynamic model in which firms enter and exit and grow and shrink over time according to random productivity shocks (a modified version of Hopenhayn (1992)). We need a dynamic model because suppose the labor force grows today, this causes more young and small firms to enter the market today. Young and small firms, however, have high exit rates so today’s high entry rate will generate a high exit rate tomorrow and also a high entry rate tomorrow as replacements arrive. Thus, a shock to labor force growth today will influence the dynamics of the system many periods into the future.
So what happens when we feed the actual decline in labor force growth into the HNS dynamic model (calibrated to 1978.) Surprisingly, we can explain a lot about declining dynamism. At right, for example, is the startup rate. Note that it jumps up with rising labor force growth in the 1950s and 1960s and declines after the 1970s.
The paper also shows that the model predictions for firm age and concentration also fit the data reasonably well.
Most surprisingly, HNS argue that essentially all of the decline in the labor share of national income can be explained by the simple fact that larger firms use fewer non-production workers per unit of output. That is very surprising. I’m not sure I believe it.
If HNS are correct it implies a very different perspective on the decline in labor share. In the HNS model for example non-competitive factors do not play a role so there’s no monopoly or markups . Moreover, if the decline in labor share is caused by larger firms using fewer non-production workers then this is surely a good thing. In their model, however, there is only one factor of production so declining labor share means increasing profit share which I find dubious. If production and non-production labor are distinguished it may also be that declining non-production share will redound to production labor so the labor share won’t fall as much. Nevertheless, the ideas here are intriguing and the results on dynamism, which are the heart of the paper, do not rely on the arguments about the labor share.
What people actually say before they die
Deathbed aphorisms and declarations of love for one’s country are exceptions or inventions. According to one doctor, the last words of the dying are often strings of curses; a hospice nurse says that most dying men call for ‘Mommy’ or ‘Mama’, if they can call at all. “At the end of life, the majority of interactions will be non-verbal as the body shuts down and the person lacks the physical strength for long utterances. People will whisper, and they’ll be brief, single words — that’s all they have energy for.”
Here is the article by Michael Erard at The Atlantic, via The Browser.
China fact (?) of the day
China Daily reported Friday that unnatural deaths have taken the lives of 72 mainland billionaires over the past eight years. (Do the math.)
Which means that if you’re one of China’s 115 current billionaires, as listed on the 2011 Forbes Billionaires List, you should be more than a little nervous.
Mortality rate notwithstanding, what’s more disturbing is how these mega wealthy souls met their demise. According to China Daily, 15 were murdered, 17 committed suicide, seven died from accidents and 19 died from illness. Oh, yes, and 14 were executed. (Welcome to China.)I don’t know about you but I find it somewhat improbable that among such a small population there could be so many “suicides,” “accidents” and “death by disease” (the average age of those who died from illness was only 48).
Here is the Forbes story by Ray Kwong, I am not sure how confirmed to treat this as being.
From the comments:
Right. The Chinese number units are ones, tens, hundreds, thousands, ten thousands, and ten thousand ten thousands. The “billionaires” in the article are ten thousand ten thousandaires.
+1 (Google Translate confirms that the base is 55k people 🙂 )
The mortality rates now seem far more reasonable…
Ratio of <= 40 to >= 50 scientists funded by the NIH
The dotted line at the top is the Jones-implied ratio of productivity of <= 40 year olds to >= 50 year-olds, as drawn from Figure 1 in this source.
For the construction of this data source I am indebted to PseudoMontaigne. Does it not imply that NIH funding is vastly over-allocated according to the criterion of seniority? Or might this be the rise of the lab system, where the older people are the PIs, and they in turn dole this money out to younger researchers? More middlemen, so to speak. Opinions?