Banks usually hold large amounts of domestic public debt which makes them vulnerable to their own sovereign’s default risk. At the same time, governments often resort to costly public bailouts when their domestic banking sector is in trouble. We investigate how the interbank network structure and the distribution of sovereign debt holdings jointly affect the optimal bailout policy in the presence of this "doom loop". Rescuing banks with high domestic sovereign exposure is optimal if these banks are sufficiently central in the network, even though that requires larger bailout expenditures than rescuing low-exposure banks. Our findings imply that highly central banks can use exposure to their own government as a strategic tool to increase the likelihood of being bailed out. Our model thus illustrates how the "doom loop" exacerbates the "too interconnected to fail" problem in banking.

Innovation policy involves trading off monopoly output and pricing in the short run in exchange for incentives for firms to develop new products in the future. While existing research demonstrates that expected profits fuel R&D investments, little is known about the novelty of the projects funded by these investments. Relying on data that describe the scientific approaches used by a large sample of experimental drug projects, we expand on this literature by examining the scientific novelty of pharmaceutical R&D investments following the creation of the Medicare Part D program. We find little evidence that the positive demand shock implied by this program prompted firms to undertake scientifically novel R&D activity, as measured by whether the specific scientific approach had been used before. However, we find some evidence that firms invested in products involving novel combinations of scientific approaches. These estimates can inform economists and policymakers assessing the tradeoffs associated with marginal changes in commercial returns from newly developed pharmaceutical products.

This paper investigates the effect of a large negative agricultural shock, the boll weevil, on black-white inequality in the first half of the twentieth century. To do this we use complete count census data to generate a linked sample of fathers and their sons. We find that the boll weevil induced enormous labor market and social disruption as more than half of black and white fathers moved to other counties following the arrival of the weevil. The shock impacted black and white sons differently. We compare sons whose fathers initially resided in the same county and find that white sons born after the boll weevil had similar wages and schooling outcomes to white sons born prior to its arrival. In contrast, black sons born after the boll weevil had significantly higher wages and years of schooling, narrowing the black-white wage and schooling gaps. This decrease appears to have been driven by relative improvements in early life conditions and access to schooling both for sons of black fathers that migrated out of the South and sons of black fathers that stayed in the South.

We use longitudinal data from the income tax system to study the impacts of firms’ employment and wage-setting policies on the level and change in immigrant-native wage differences in Canada. We focus on immigrants who arrived in the early 2000s, distinguishing between those with and without a college degree from two broad groups of countries – the U.S., the U.K. and Northern Europe, and the rest of the world. Consistent with a growing literature based on the two-way fixed effects model of Abowd, Kramarz, and Margolis (1999), we find that firm-specific wage premiums explain a significant share of earnings inequality in Canada and contribute to the average earnings gap between immigrants and natives. In the decade after receiving permanent status, earnings of immigrants rise relative to those of natives. Compositional effects due to selective outmigration and changing participation play no role in this gain. About one-sixth is attributable to movements up the job ladder to employers that offer higher pay premiums for all groups, with particularly large gains for immigrants from the “rest of the world” countries.

This paper proposes a new methodology for estimating teacher value-added. Rather than imposing a normality assumption on unobserved teacher quality (as in the standard empirical Bayes approach), our nonparametric estimator permits the underlying distribution to be estimated directly and in a computationally feasible way. The resulting estimates fit the unobserved distribution very well regardless of the form it takes, as we show in Monte Carlo simulations. Implementing the nonparametric approach in practice using two separate large-scale administrative data sets, we find the estimated teacher value-added distributions depart from normality and differ from each other. To draw out the policy implications of our method, we first consider a widely-discussed policy to release teachers at the bottom of the value-added distribution, comparing predicted test score gains under our nonparametric approach with those using parametric empirical Bayes. Here the parametric method predicts similar policy gains in one data set while overestimating those in the other by a substantial margin. We also show the predicted gains from teacher retention policies can be underestimated significantly based on the parametric method. In general, the results highlight the benefit of our nonparametric empirical Bayes approach, given that the unobserved distribution of value-added is likely to be context-specific.

We explore whether minimum wage increases result in substitution from lower-skilled to slightly higher-skilled labor. Using 2011-2016 American Community Survey data (ACS), we show that workers employed in low-wage occupations are older and more likely to have a high school diploma following recent statutory minimum wage increases. To better understand the role of firms, we examine the Burning Glass vacancy data. We find increases in a high school diploma requirement following minimum wage hikes, consistent with our ACS evidence on stocks of employed workers. We see substantial adjustments to requirements both within and across firms.

Estimating the returns to education remains an active area of research amongst applied economists. Most studies that estimate the causal return to education exploit changes in schooling and/or labor laws to generate exogenous differences in education. An implicit assumption is that more time in school may translate into greater earnings potential. None of these studies, however, explicitly consider the quality of schooling to which impacted students are exposed. To extend this literature, we examine the interaction between school quality and policy-induced returns to schooling, using temporally-available school quality measures from Card and Krueger (1992). We find that additional compulsory schooling, via either schooling or labor laws, increases earnings only if educational inputs are of sufficiently high quality. In particular, we find a consistent role for teacher quality, as measured by relative teacher pay across states, in generating consistently positive returns to compulsory schooling.

How should the design of incentives vary with agent time preferences? We develop two predictions. First, “bundling” the payment function over time – specifically by making the payment for future effort increase in current effort – is more effective if individuals are impatient over effort. Second, increasing the frequency of payment is more effective if individuals are impatient over payment. We test the efficacy of time-bundling and payment frequency, and their interactions with impatience, using a randomized evaluation of an incentive program for exercise among diabetics in India. Consistent with our theoretical predictions, bundling payments over time meaningfully increases effort among the impatient relative to the patient. In contrast, increasing payment frequency has limited efficacy, suggesting limited impatience over payments. On average, incentives increase daily steps by 1,266 (13 minutes of brisk walking) and improve health.

Public schooling systems are an essential feature of modern states. These systems often developed at the expense of religious schools, which undertook the bulk of education historically and still cater to large student populations worldwide. This paper examines how Indonesia’s long-standing Islamic school system responded to the construction of 61,000 public elementary schools in the mid-1970s. The policy was designed in part to foster nation building and to curb religious influence in society. We are the first to study the market response to these ideological objectives. Using novel data on Islamic school construction and curriculum, we identify both short-run effects on exposed cohorts as well as dynamic, long-run effects on education markets. While primary enrollment shifted towards state schools, religious education increased on net as Islamic secondary schools absorbed the increased demand for continued education. The Islamic sector not only entered new markets to compete with the state but also increased religious curriculum at newly created schools. Our results suggest that the Islamic sector response increased religiosity at the expense of a secular national identity. Overall, this ideological competition in education undermined the nation-building impacts of mass schooling.

Traveling beyond the immediate surroundings of one’s residence can lead to greater exposure to new ideas and information, jobs, and greater transmission of disease. In this paper, we document the geographic mobility of individuals in the U.S., and how this mobility varies across U.S. cities, regions, and income classes. Using geolocation data for ~1.7 million smartphone users over a 10-month period, we compute different measures of mobility, including the total distance traveled, the median daily distance traveled, the maximum distance traveled from one’s home, and the number of unique haunts visited. We find large differences across cities and income groups. For example, people in New York travel 38% fewer total kilometers and visit 14% fewer block-sized areas than people in Atlanta. And, individuals in the bottom income quartile travel 12% less overall and visit 13% fewer total locations than the top income quartile.

Most jobs require teamwork. Are some people good team players? In this paper we design and test a new method for identifying individual contributions to group performance. We randomly assign people to multiple teams and predict team performance based on previously assessed individual skills. Some people consistently cause their group to exceed its predicted performance. We call these individuals “team players”. Team players score significantly higher on a well-established measure of social intelligence, but do not differ across a variety of other dimensions, including IQ, personality, education and gender. Social skills – defined as a single latent factor that combines social intelligence scores with the team player effect – improve group performance about as much as IQ. We find suggestive evidence that team players increase effort among teammates.

Recent research has highlighted unequal treatment for women in academic economics along several different dimensions, including promotion, hiring, credit for co-authorship, and standards for publication in professional journals. Can the source of these differences lie in biases against women that are pervasive in the discipline, even among students in the earliest stages of their training? In this paper, we provide evidence on the importance of explicit and implicit biases against women among students in economics relative to other fields. We conducted a large scale survey among undergraduate students in Chilean universities, among both entering first-year students and students in years 2 and above. On a wide battery of measures, economics students are more biased than students in other fields. Economics students are somewhat more biased already upon entry, before exposure to any economics classes. The gap is more pronounced among students in years 2 and above, in particular for male students. We also find an increase in bias in a sample of students that we follow longitudinally. Differences in political ideology explain essentially all the gap at entry, but none of the increase in the gap with exposure. Exposure to female students and faculty attenuates some of the bias.

In an interview, Arne Schönbohm, 49, the head of Germany's Federal Office for Information Security, discusses the potential danger posed by Huawei, why he thinks it is "manageable" and the general state of IT threats in Germany.

Californians venturing onto the beach after a month of lockdown are being greeted with the ethereal sight of bioluminescent waves from an algae bloom.

A California dad allegedly tossed his baby daughter off a “steep cliff” to her death after he stabbed the child’s mom and a bystander who tried to help, relatives and police said.

He’ll need a better defense than the one his favorite team managed against LSU last year.

The Social Security Administration will not release its list of popular baby names this year.

This paper takes an early look at the Paycheck Protection Program (PPP), a large and novel small business support program that was part of the initial policy response to the COVID-19 pandemic. We use new data on the distribution of PPP loans and high-frequency micro-level employment data to consider two dimensions of program targeting. First, we do not find evidence that funds flowed to areas more adversely affected by the economic effects of the pandemic, as measured by declines in hours worked or business shutdowns. If anything, funds flowed to areas less hard hit. Second, we find significant heterogeneity across banks in terms of disbursing PPP funds, which does not only reflect differences in underlying loan demand. The top-4 banks alone account for 36% of total pre-policy small business loans, but disbursed less than 3% of all PPP loans. Areas that were significantly more exposed to low-PPP banks received much lower loan allocations. As data become available, we will study employment and establishment responses to the program and the impact of PPP support on the economic recovery. Measuring these responses is critical for evaluating the social insurance value of the PPP and similar policies.

We show that trade credit in production networks is important for the transmission of unconventional monetary policy. We find that firms with bonds eligible for purchase under the European Central Bank’s Corporate Sector Purchase Program act as financial intermediaries and extend more trade credit to their customers. The increase in trade credit flows is more pronounced from core countries to periphery countries and towards financially constrained customers. Customers increase investment and employment in response to the additional financing, while suppliers with eligible bonds increase their customer base, potentially favoring upstream industry concentration. Our findings suggest that the trade credit channel of monetary policy produces heterogeneous effects on regions, industries, and firms.

Emergency department visits are costly to providers and to patients. We use the Flint water crisis to test if an increase in office visits reduced avoidable emergency room visits. In September 2015, the city of Flint issued a lead advisory to its residents, alerting them of increased lead levels in their drinking water, resulting from the switch in water source from Lake Huron to the Flint River. Using Medicaid claims for 2013-2016, we find that this information shock increased the share of enrollees who had lead tests performed by 1.7 percentage points. Additionally, it increased office visits immediately following the information shock and led to a reduction of 4.9 preventable, non-emergent, and primary-care-treatable emergency room visits per 1000 eligible children (8.2%). This decrease is present in shifts from emergency room visits to office visits across several common conditions. Our analysis suggest that children were more likely to receive care from the same clinic following lead tests and that establishing care reduced the likelihood parents would take their children to emergency rooms for conditions treatable in an office setting. Our results are potentially applicable to any situation in which individuals are induced to seek more care in an office visit setting.

Out of nearly 20 bids at a public auction for the Norman Lykes House, the winning bid came from a man who lives out of state, Heritage Auctions told The Associated Press.

New York Attorney General Letitia James is investigating allegations of racially discriminatory tactics by Long Island real estate agents as described in a sweeping Newsday report.

Over the next 20 years more than a quarter of the nation’s currently owner-occupied homes will be on the market as owners pass on with Orlando being one of the top impacted areas.

A three-bedroom duplex in River North that Roeper owned from 2005 until 2014 sold Jan. 7 for 13% less than what Roeper got for it.

A new National Association of Realtors report revealed the ways that legalizing marijuana has impacted real estate.

Ruby Walsh believes enforcing social distancing should not prove too much of an issue when racing eventually resumes.

We develop a multi-risk SIR model (MR-SIR) where infection, hospitalization and fatality rates vary between groups—in particular between the “young”, “the middle-aged” and the “old”. Our MR-SIR model enables a tractable quantitative analysis of optimal policy similar to those already developed in the context of the homogeneous-agent SIR models. For baseline parameter values for the COVID-19 pandemic applied to the US, we find that optimal policies differentially targeting risk/age groups significantly outperform optimal uniform policies and most of the gains can be realized by having stricter lockdown policies on the oldest group. For example, for the same economic cost (24.3% decline in GDP), optimal semi–targeted or fully-targeted policies reduce mortality from 1.83% to 0.71% (thus, saving 2.7 million lives) relative to optimal uniform policies. Intuitively, a strict and long lockdown for the most vulnerable group both reduces infections and enables less strict lockdowns for the lower-risk groups. We also study the impacts of social distancing, the matching technology, the expected arrival time of a vaccine, and testing with or without tracing on optimal policies. Overall, targeted policies that are combined with measures that reduce interactions between groups and increase testing and isolation of the infected can minimize both economic losses and deaths in our model.

We construct a quantitative model of an economy hit by an epidemic. People differ by age and skill, and choose occupations and whether to commute to work or work from home, to maximize their income and minimize their fear of infection. Occupations differ by wage, infection risk, and the productivity loss when working from home. By setting the model parameters to replicate the progression of COVID-19 in South Korea and the United Kingdom, we obtain three key results. First, government-imposed lock-downs may not present a clear trade-off between GDP and public health, as commonly believed, even though its immediate effect is to reduce GDP and infections by forcing people to work from home. A premature lifting of the lock-down raises GDP temporarily, but infections rise over the next months to a level at which many people choose to work from home, where they are less productive, driven by the fear of infection. A longer lock-down eventually mitigates the GDP loss as well as flattens the infection curve. Second, if the UK had adopted South Korean policies, its GDP loss and infections would have been substantially smaller both in the short and the long run. This is not because Korea implemented policies sooner, but because aggressive testing and tracking more effectively reduce infections and disrupt the economy less than a blanket lock-down. Finally, low-skill workers and self-employed lose the most from the epidemic and also from the government policies. However, the policy of issuing “visas” to those who have antibodies will disproportionately benefit the low-skilled, by relieving them of the fear of infection and also by allowing them to get back to work.

What are the characteristics of workers in jobs likely to be initially affected by broad social distancing and later by narrower policy tailored to jobs with low risk of disease transmission? We use O NET to construct a measure of the likelihood that jobs can be conducted from home (a variant of Dingel and Neiman, 2020) and a measure of low physical proximity to others at work. We validate the measures by showing how they relate to similar measures constructed using time use data from ATUS. Our main finding is that workers in low-work-from-home or high-physical- proximity jobs are more economically vulnerable across various measures constructed from the CPS and PSID: they are less educated, of lower income, have fewer liquid assets relative to income, and are more likely renters. We further substantiate the measures with behavior during the epidemic. First, we show that MSAs with less pre-virus employment in work-from-home jobs experienced smaller declines in the incidence of `staying-at-home', as measured using SafeGraph cell phone data. Second, we show that both occupations and types of workers predicted to be employed in low work-from-home jobs experienced greater declines in employment according to the March 2020 CPS. For example, non-college educated workers experienced a 4ppt larger decline in employment relative to those with a college degree.

The lack of reliable electricity in the developing world is widely viewed by policymakers as a major constraint on firm productivity. Yet most empirical studies find modest short-run effects of power outages on firm performance. This paper builds a dynamic macroeconomic model to study the long-run general equilibrium effects of power outages on productivity. The model captures the key features of how firms acquire electricity in the developing world, in particular the rationing of grid electricity and the possibility of self-generated electricity at higher cost. Power outages lower productivity in the model by creating idle resources, by depressing the scale of incumbent firms and by reducing entry of new firms. Consistent with the empirical literature, the model predicts that the short-run partial-equilibrium effects of eliminating outages are small. However, the long-run general-equilibrium effects are many times larger, supporting the view that eliminating outages is an important development objective.

We show a causal impact of immigration on innovation and dynamism in US counties. To identify the causal impact of immigration, we use 130 years of detailed data on migrations from foreign countries to US counties to isolate quasi-random variation in the ancestry composition of US counties that results purely from the interaction of two historical forces: (i) changes over time in the relative attractiveness of different destinations within the US to the average migrant arriving at the time and (ii) the staggered timing of the arrival of migrants from different origin countries. We then use this plausibly exogenous variation in ancestry composition to predict the total number of migrants flowing into each US county in recent decades. We show four main results. First, immigration has a positive impact on innovation, measured by the patenting of local firms. Second, immigration has a positive impact on measures of local economic dynamism. Third, the positive impact of immigration on innovation percolates over space, but spatial spillovers quickly die out with distance. Fourth, the impact of immigration on innovation is stronger for more educated migrants.

We model optimal e-cigarette regulation and estimate key sufficient statistics. Using tax changes and scanner data, we estimate relatively elastic demand and limited substitution between e-cigarettes and combustible cigarettes. In sample surveys, historical smoking declines for high- and low-vaping demographics were unchanged after e-cigarettes were introduced; this demographic shift-share identification also suggests limited substitution. We field a new survey of experts, who report that vaping is almost as harmful as smoking cigarettes. In our model, these results imply that current e-cigarette taxes are far below the social optimum, but Monte Carlo simulations highlight substantial uncertainty.

The victim, believed to be in her 40s, was hit at the intersection of Atlantic Ave. and Pennsylvania Ave. in East New York about 4:30 a.m., cops said.

Instead of waking up to wish his daughter the best on her 23rd birthday, Collin Dixon got the phone call every parent dreads.

The city withheld explosive allegations of racism against two high-ranking NYPD cops accused of demanding arrests of black and Hispanic people, an attorney charged Friday.

The Friday morning deaths capped off a deadly three days across the city.

Garcia Luna, accused of turning a blind eye toward murderous drug overlord Joaquin “El Chapo” Guzman while serving as Mexico’s secretary of public security from 2006-12, arrived in Brooklyn Federal Court with his attorney for a Friday afternoon hearing.

The frightening incident happened Wednesday around 8 a.m., on 55th St. between 14th Ave. and New Utrecht Ave. in Borough Park, according to Ezra Friedlander, who shared the video on Twitter.

Rubin, now a genteel 72-year-old Staten Island resident, alleges in a newly-filed Child Victims Act lawsuit that he was sexually abused on a weekly basis between 1960-65 by a cabal of five predatory teachers at the prestigious school.

The plaintiff, a former high school cheerleader identified only by the pseudonym “Mary Coe,” was in her first year at the school when defendant William Martire allegedly initially forced her to perform oral sex on him in the early 1980s, according to a horrifying 18-page Brooklyn Supreme Court filing.

“Those people shot him to kill him. It’s a miracle that my son is alive,” Carmen Cruz said of the Feb. 6 incident in which her son, 26-year-old Erick Diaz-Cruz, was wounded in a confrontation with Immigration and Customs Enforcement agents in Gravesend.

The 8:15 a.m. crash at Pennsylvania and Blake Aves. in East New York happened just paces from three neighborhood schools and about two miles from where a 10-year-old girl was fatally struck by a school bus Tuesday, officials said.

The teen victim was chased to the corner of Utica Ave. and Sterling Place around 4:10 p.m. Thursday before being knocked to the ground. Video then shows a horde of teens descending upon her.

More than 200 mourners filed into the Love Fellowship Tabernacle church in East New York Thursday night for Payson Lott’s wake and funeral. The youngster was struck and killed by an unlicensed driver as he crossed a street in his neighborhood.