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.

Clouds are gathering on the horizon of the global economy and the risk of a recession is growing. Many experts believe that the international banking system is unprepared and Germany has begun getting ready for the worst.

German multinational Bayer underestimated the risks of acquiring Monsanto. Now, the company is desperately seeking to contain the damage by selling business divisions and cutting jobs. So far, though, none of these moves have helped.

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.

In an interview, Alex Zhu, the head of the Chinese video app TikTok, defends the company against accusations of spying and censorship and explains why he isn't interested in making the platform a place for political debate.

Former Renault-Nissan chairman and CEO Carlos Ghosn fled Japan in a dramatic escape just over a month ago. He is currently the subject of an Interpol search warrant. DER SPIEGEL met him in Beirut for an interview.

Pressure is growing across the board for large corporations to do more to protect the environment and the climate. Even institutional investors like Blackrock head Larry Fink are joining the chorus of voices calling for change.

Greed, envy, poor leadership and a poisonous internal culture: New York Times journalist David Enrich has written a book about Deutsche Bank that also sheds light on the financial institution's relationship with U.S. President Donald Trump.

Freelancers and small companies are getting hit especially hard by the corona crisis. DER SPIEGEL has learned that the federal government is planning a massive financial aid package. It would mark the end of Germany’s balanced budget policy.

Am I required to work if I can't find alternative childcare with daycare centers now closed? Will I still get my salary? What happens to my health insurance? Answers to the most pressing questions about labor law in times of the coronavirus.

It is an unprecedented crisis: The coronavirus pandemic is crippling entire economies, while governments and central banks are deploying all means available to prevent a systemic collapse. How long can we hold out?

The corona crisis has hit the German economy at full force. Already, 470,000 applications have been filed for a German government subsidy that prevents employees from getting laid off, 20 times more than the previous record during the 2009 financial crisis.

The coronavirus pandemic has inflicted massive damage on the aviation industry. But Lufthansa CEO Carsten Spohr says that the German flag carrier is in a good position to survive, even if it will take several years for the industry to recover.

German carmakers are going to have to open up their factories and car dealerships again soon – otherwise they could face a widespread collapse. And that would be disastrous for the German economy.