Category: Data Source
A recent study of opioid-related deaths in Massachusetts underlines this crucial point, finding that prescription analgesics were detected without heroin or fentanyl in less than 17 percent of the cases. Furthermore, decedents had prescriptions for the opioids that showed up in toxicology tests just 1.3 percent of the time.
Alexander Walley, an associate professor of medicine at Boston University, and five other researchers looked at nearly 3,000 opioid-related deaths with complete toxicology reports from 2013 through 2015. “In Massachusetts, prescribed opioids do not appear to be the major proximal cause of opioid-related overdose deaths,” Walley et al. write in the journal Public Health Reports. “Prescription opioids were detected in postmortem toxicology reports of fewer than half of the decedents; when opioids were prescribed at the time of death, they were commonly not detected in postmortem toxicology reports….The major proximal contributors to opioid-related overdose deaths in Massachusetts during the study period were illicitly made fentanyl and heroin.”
The study confirms that the link between opioid prescriptions and opioid-related deaths is far less straightforward than it is usually portrayed. “Commonly the medication that people are prescribed is not the one that’s present when they die,” Walley told Pain News Network. “And vice versa: The people who died with a prescription opioid like oxycodone in their toxicology screen often don’t have a prescription for it.”
Interesting throughout, but most of all see pp.5-6, comparing how men rate women to how women rate men. Here is half of that story:
You also can see that meeting on the job peaked in the 1990s, and do I need to tell you about meeting through church and the neighbors? Recommended.
This paper uses complete death certificate data from the Mortality Multiple Cause Files with American Community Survey data to examine age-specific mortality rates for married and non-married people from 2007 to 2017. The overall rise in White mortality is limited almost exclusively to those who are not married, for men and women…
That is from Philip N. Cohen, via Arnold Kling.
More than a third of Ph.D. students have sought help for anxiety or depression caused by Ph.D. study, according to results of a global survey of 6,300 students from Nature.
Thirty-six percent is a very large share, considering that many students who suffer don’t reach out for help. Still, the figure parallels those found by other studies on the topic. A 2018 study of mostly Ph.D. students, for instance, found that 39 percent of respondents scored in the moderate-to-severe depression range. That’s compared to 6 percent of the general population measured with the same scale.
Twenty-one percent of respondents said they’d been bullied in their programs. Of those, 48 percent said their supervisor was the perpetrator.
Here is the full story from Colleen Flaherty at Inside Higher Ed.
Overall, renters in New York City suffer a loss of $178mm per annum, as the losses from the rent channel dominate the gains from the host channel. I find that the increased rent burden falls most heavily on high-income, educated, and white renters, because they prefer housing and location amenities most desirable to tourists. Moreover, there is a divergence between the median and the tail, where a few enterprising low-income households obtain substantial gains from home-sharing, especially during demand peaks.
That is from the job market paper of Sophie Calder-Wang of Harvard. You will note there still are likely net gains once you count tourist demand, but of course this helps explain why Airbnb rentals are unpopular in some cities.
Yes, not a surprise but here are some details:
We identify a strong negative relationship between the consumption rate and the lifetime net resource. The predicted APC [average propensity to consume] of the highest net resource cohort about 0.03, which is two standard deviations smaller than the lowest resource cohort.
That is from a new paper by Ilin, Ye, and Yu (Yu is on the job market). Of course this relates to the recent wealth tax debate — almost all of that tax would fall on the investment of the wealthy, not their consumption. Note, however, that if the wealth tax induced more consumption by the wealthy, consumption inequality could quite easily go up.
The racial integration of the US Army during the Korean War (1950-1953) is one of the largest and swiftest desegregation episodes in American history. This paper argues that racial integration improved white survival rates at the expense of blacks, and resulted in less anti-black prejudice among white veterans decades after the war. Using a novel military casualty file, I construct a wartime similarity index to measure the extent of racial integration across military units and time. Using exogenous changes in racial integration, I show that integrated whites were 3% more likely to survive their injuries than segregated whites, whereas integrated blacks were 2% were less likely to survive their injuries than segregated blacks. Given that blacks were initially confined to noncombat support roles, the results reflect a convergence in hazardous combat assignments. To explore the long-term effects of racial integration, I link individual soldiers to post-war social security and cemetery data using an unsupervised learning algorithm. With these matched samples, I show that a standard deviation change in the wartime racial integration caused white veterans to live in more racially diverse neighborhoods and marry non-white spouses. In aggregate, these results are some of the first and only examples of large-scale interracial contact reducing prejudice on a long-term basis.
That is from the job market paper from Daniel Indacochea of the University of Toronto.
In this paper I exploit a novel and rich data-set with biographical information of US state legislators to investigate their sorting based on remoteness and attractiveness of the state capital. The main finding of the chapter is that in more remote US state capitals the legislators are on average less educated and experienced. The results are robust to using different measures of remoteness, based on the spatial distribution of the population, and controlling for other characteristics of the legislatures. To identify the causal effect of capitals’ remoteness, I use instrumental variables relying on proximity of capitals to the state centroids. Finally, I also find that legislators’ education affects public good provision and corruption.
That is the abstract of the job market paper of Giuseppe Rossitti from the London School of Economics.
This 5-year prospective longitudinal study of 70,000+ English children examined the association between psychometric intelligence at age 11 years and educational achievement in national examinations in 25 academic subjects at age 16. The correlation between a latent intelligence trait (Spearman’s g from CAT2E) and a latent trait of educational achievement (GCSE scores) was 0.81. General intelligence contributed to success on all 25 subjects. Variance accounted for ranged from 58.6% in Mathematics and 48% in English to 18.1% in Art and Design. Girls showed no advantage in g, but performed significantly better on all subjects except Physics. This was not due to their better verbal ability. At age 16, obtaining five or more GCSEs at grades A⁎–C is an important criterion. 61% of girls and 50% of boys achieved this. For those at the mean level of g at age 11, 58% achieved this; a standard deviation increase or decrease in g altered the values to 91% and 16%, respectively.
A growing body of research suggests that populations around the globe vary substantially along several important psychological dimensions and that populations characterized as Western, Educated, Industrialized, Rich, and Democratic (WEIRD) are particularly unusual. People from these societies tend to be more individualistic, independent, and impersonally prosocial (e.g., trusting of strangers) while revealing less conformity and in-group loyalty. Although these patterns are now well documented, few efforts have sought to explain them. Here, we propose that the Western Church (i.e., the branch of Christianity that evolved into the Roman Catholic Church) transformed European kinship structures during the Middle Ages and that this transformation was a key factor behind a shift towards a WEIRDer psychology.
That is a new piece in Science by Jonathan F. Schulz, Duman Bahrani-Rad, Jonathan P. Beauchamp, and Joe Henrich, try this link too. This one works for sure. Here is Harvard magazine coverage of the piece. Here is a relevant Twitter thread.
The two Jonathan co-authors are new colleagues of mine at GMU economics, so I am especially excited this work is seeing the light of day in such a good venue.
We show that Harvard encourages applications from many students who effectively have no chance of being admitted, and that this is particularly true for African Americans.
Here is the whole abstract, by Peter Arcidiacono, Josh Kinsler, and Tyler Ransom:
Over the past 20 years, elite colleges in the US have seen dramatic increases in applications. We provide context for part of this trend using detailed data on Harvard University that was unsealed as part of the SFFA v. Harvard lawsuit. We show that Harvard encourages applications from many students who effectively have no chance of being admitted, and that this is particularly true for African Americans. African American applications soared beginning with the Class of 2009, with the increase driven by those with lower SAT scores. Yet there was little change in the share of admits who were African American. We show that this change in applicant behavior resulted in substantial convergence in the overall admissions rates across races yet no change in the large cross-race differences in admissions rates for high-SAT applicants.
And from the paper’s conclusion:
If the goal of recruiting African Americans is not simply to increase the diversity of matriculants, but also to achieve racial balance in the admit pool and/or racial balance in admit rates, then the policy could be deemed a success. As an example, admit rates for African American applicants were twice as large as admit rates for Asian American applicants in 2000, but by 2017 were approximately the same. Why Harvard might careabout the racial distribution of admit rates and applicants is not obvious. What is clear is that each year there are a significant number of African American high school students who have a potentially false impression about their chances of being admitted to Harvard.
In the United States, elected district attorneys’ offices prosecute over 85% of all felony cases, but we know little about their effect on local criminal justice outcomes. Using a newly-collected dataset of district attorney elections, I show that Republican district attorneys lead to a 18-21% increase in new prison admissions in the two years following their election, while nonwhite district attorneys lead to a 10% decline. In both cases, there are no significant effects on local crime or arrest rates. These results show that the identity of the local district attorney is an important determinant of incarceration rates.
Here is the paper, by Sam Krumholz, on the job market this year from UCSD, that is not his job market paper, here is his full portfolio, public economics and law and economics, to me one of the more interesting candidates this year.
This paper studies how governments manage public employee pensions and how this affects insolvency risk. I propose a quantitative model of governments that choose their savings and risk exposure by borrowing/saving in defaultable bonds, borrowing in non-defaultable pension benefits, and saving in a pension fund that earns a risk premium. In insolvency, the government can receive transfers from households who may differ from the government in their preferences for public services and private consumption. I match the model to a panel of CA cities and a hand-collected record of fiscal emergencies. The model predicts that governments are highly vulnerable to another stock market bust. A hypothetical shock to pension funds in 2015 produces twice as many fiscal emergencies as the original 2008-10 shock. In the quantified model, the government undersaves and take excess risk relative to what households would choose. Savings requirements that limit spending to essential services plus 0.3% of cash-on-hand produce large welfare gains for households. Requiring the pension fund to invest more in safe assets decreases household welfare because the lower average return discourages the government from saving.
The Impact of the Affordable Care Act: Evidence from California’s Hospital Sector
(with Mark Duggan and Atul Gupta) R&R, AEJ: Economic Policy
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.
Using difference-in-difference and regression discontinuity techniques, we find that US states governed by Democrats and those by Republicans perform equally well on economic, education, crime, family, social, environmental, and health outcomes on the timeline introduced by elections (2-4 years downstream).
That is from a new paper by Adam Dynes and John B. Holbein, forthcoming in APSR.