Guest Post: As of 2019, Segment Routing over IPv6 data plane (SRv6) has been deployed in eight large-scale networks; supported more than 25 hardware implementations at line rate; and implemented in 11 open-source platforms/applications.

The head of Angela Merkel’s Chancellery has warned that people’s behavior this weekend will be pivotal in determining whether strict shelter-in-place curfews are imposed in Germany to control the spread of the coronavirus.

Helge Braun, 47, Chancellor Angela Merkel's chief of staff, speaks with DER SPIEGEL about the rapidly rising number of coronavirus infections and about whether more stringent measures will have to be implemented.

The German health-care system is considered one of the best in the world. But the coronavirus is mercilessly exposing its weaknesses, with some hospitals already facing difficulties. Can Germany prevent the kind of collapse seen in Italy?

Germany's federal and state governments have agreed to further tighten restrictions on public life. Here's an overview of what's now allowed and what's not.

The German chancellor is staying home after being exposed to a doctor who tested positive for the coronavirus. A first test came back negative, but Merkel will keep governing remotely for the time being. What does Germany's line of succession look like, and who would jump in if Merkel gets sick?

The gravest threat posed by the coronavirus is that high-risk groups like the elderly and other high-risk groups will get infected by it. The pressure on staffs at nursing homes is growing. Some patient advocates are calling for emergency contingency plans. Are the facilities safe enough for the people living in them?

Drägerwerk is a world leader in the production of ventilators. In an interview, company head Stefan Dräger, 57, discusses the challenges of keeping up with current demand as the corona crisis accelerates.

The fight against the coronavirus has paralyzed society and the economy. Lockdown measures are fine for the short term, but they threaten to rapidly destroy the economy and erode our existing social order. What should the next steps be?

Some in Germany have the impression that the country can survive a long-term lockdown without suffering any grave consequences. That thinking is dangerous.

The German government failed to obtain enough protective masks for the country. That's one of the reasons Germany has so far refused to require its citizen's to wear them in public. But those facial coverings could be critical in lifting restrictions on public life.

German politicians have begun calling for industry to be shielded from too much environmental protection during the coronavirus crisis. But corporations aren't joining the appeal. They managed to turn CO2 reduction into a competitive advantage long ago.

All of Germany is looking forward to Easter this year, with hopes that the government will soon be able to loosen coronavirus restrictions. But will it? And if so, which ones? By DER SPIEGEL Staff

The February Revolution was the first of two revolutions in Russia in 1917. Though spontaneous and poorly organized, the revolution resulted in the abdication of Tsar Nicholas II, the end of the Romanov dynasty, and the start of a new, provisional government. It resulted from a number of factors—low confidence in the monarchy, a looming famine, and a series of failures in World War I, which Russia was ill-equipped to fight. How did Rasputin help to spur the revolution, even though he was dead? Discuss

Definition: (verb) Restore to a previous or better condition.
Synonyms: restitute.
Usage: This old farmhouse may look ramshackle now, but it will be the epitome of rustic charm once I renovate it.

We study the impact of non-pharmaceutical policy interventions (NPIs) like “stay-at-home” orders on the spread of infectious disease. NPIs are associated with slower growth of Covid-19 cases. NPIs “spillover” into other jurisdictions. NPIs are not associated with significantly worse economic outcomes measured by job losses. Job losses have been no higher in US states that implemented “stay-at-home” during the Covid-19 pandemic than in states that did not have “stay-at-home”. All of these results demonstrate that the Covid-19 pandemic is a common economic and public health shock. The tradeoff between the economy and public health today depends strongly on what is happening elsewhere. This underscores the importance of coordinated economic and public health responses.

Ambient pollution is a byproduct of economic activity. It has been widely reported that COVID-19 and associated lockdowns have generated large improvements in air quality worldwide, including to China's notoriously-poor air quality. We analyze China's official pollution monitor data and account for the large, recurrent improvement in air quality following Lunar New Year (LNY), which essentially coincided with lockdowns in 2020. With the important exception of NO2, China's air quality improvements in 2020 are smaller than we should expect near the pandemic's epicenter: Hubei province. Compared with LNY improvements experienced in 2018 and 2019 in Hubei, we see smaller improvements in SO2 while ozone concentrations increased in both relative and absolute terms (roughly doubling). Similar patterns are found for the six provinces neighboring Hubei. We conclude that whether COVID-19 actually decreased pollution in China depends on the pollutant and reference period considered.

We conducted a large-scale survey covering 58 countries and over 100,000 respondents between late March and early April 2020 to study beliefs and attitudes towards citizens’ and governments’ responses to the COVID-19 pandemic. Most respondents reacted strongly to the crisis: they report engaging in social distancing and hygiene behaviors, and believe that strong policy measures, such as shop closures and curfews, are necessary. They also believe that their government and their country’s citizens are not doing enough and underestimate the degree to which others in their country support strong behavioral and policy responses to the pandemic. The perception of a weak government and public response is associated with higher levels of worries and depression. Using both cross-country panel data and an event-study, we additionally show that strong government reactions correct misperceptions, and reduce worries and depression. Our findings highlight that policy-makers not only need to consider how their decisions affect the spread of COVID-19, but also how such choices influence the mental health of their population.

Do new societal needs increase charitable giving or simply reallocate a fixed supply of donations? We study this question using IRS datasets and the natural experiment of deadly tornadoes. Among ZIP Codes located more than 20 miles away from a tornado's path, donations by households increase by over $1 million per tornado fatality. We find no negative effects on charities located in these ZIP Codes, with a bootstrapped confidence interval that rejects substitution rates above 16 percent. The results imply that giving to one cause need not come at the expense of another.

We explored two measures of inequality that described the full income distribution in cities. One measure is an income gini based on family incomes in 1929 for 33 cities and in 1933 for up to 48 cities in 1933 were spread throughout the country. We also estimated gini coefficients that made use of contract rents for renters and implicit rents for home owners for up to 955 cities throughout the country. We were able to expand to all counties when looking at a top-end inequality measure, the number of taxpayers per family. All three measures varied substantially across the country. We show the correlations between the various measures and also estimate the relationship between the measures and various relief programs developed by governments at all levels during the period.

Many countries in Eastern Europe are taking drastic measures to slow the spread of COVID-19 -- in part because their health-care systems may not be up to the task.

With the wave of coronavirus infections washing over Europe, countries have turned inward to protect themselves. European Commission President Ursula von der Leyen has struggled to define the EU's role in the crisis as border checks have been reintroduced across the Continent.

Family members aren't allowed into hospitals nor can they take part in funerals. Crematoriums are overloaded. The horrors of coronavirus still have a firm hold on northern Italy.

The European Commission is limited in what it can do to combat the spread of the SARS-CoV-2 virus, but this only makes it more imperative for Brussels to set the correct priorities.

European researchers have developed a new technology aimed at slowing the spread of the novel coronavirus. Called PEPP-PT, it has been designed to conform with EU data privacy rules. Its developers spoke with DER SPIEGEL about the app.

In an interview, Italian Foreign Minister Luigi Di Maio calls for greater solidarity among Europeans and for the EU to come up with an aid package comparable to the one recently passed in the United States.

L'Europa è più di una mera alleanza di egocentrici. Non esistono alternative agli Eurobond in una crisi come questa.

Europa es más que una coalición de ególatras. En una crisis como esta no existe alternativa para los eurobonos.

This paper documents a new fact, then analyzes its causes and consequences: in most countries, import tariffs and non-tariff barriers are substantially lower on dirty than on clean industries, where an industry’s “dirtiness” is defined as its carbon dioxide (CO2) emissions per dollar of output. This difference in trade policy creates a global implicit subsidy to CO2 emissions in internationally traded goods and so contributes to climate change. This global implicit subsidy to CO2 emissions totals several hundred billion dollars annually. The greater protection of downstream industries, which are relatively clean, substantially accounts for this pattern. The downstream pattern can be explained by theories where industries lobby for low tariffs on their inputs but final consumers are poorly organized. A quantitative general equilibrium model suggests that if countries applied similar trade policies to clean and dirty goods, global CO2 emissions would decrease and global real income would change little.

The Austrian winter-sports mecca of Ischgl is well known for its parties. But after helping spread the virus across Europe, the town's reputation is changing to one of incompetence and greed.

Well-off Brazilians have brought the coronavirus back home with them from their travels. Many of them also employ domestic workers from the country's favelas - who they're apparently unwilling to protect by telling them to stay home. Brazil's poorest class could make easy quarry for the disease.

In the fight against COVID-19, doctors and health workers are testing drugs and treatments whose efficacy has been proven against other illnesses. We take a look at the most prominent ones and the early findings.

In an interview with DER SPIEGEL, German Foreign Minister Heiko Maas, 53, criticizes the U.S., China and Hungary for their handling of the coronavirus pandemic. He also promises not to abandon Italy and explains why he doesn't want to say that he's actually in favor of corona bonds.

The Chinese metropolis of Wuhan spent weeks in complete lockdown to stop the spread of the novel coronavirus. Now, it is reopening its shops and restaurants. But the people remain fearful and cautious.

We estimate valuations of time using detailed consumer choice data from a large European ride hail platform, where drivers bid on trips and consumers choose between a set of potential rides with different prices and waiting times. We estimate consumer demand as a function of prices and waiting times. While demand is responsive to both, price elasticities are on average four times higher than waiting-time elasticities. We show how these estimates can be mapped into values of time that vary by place, person, and time of day. Regarding variation within a day, the value of time during non-work hours is 16% lower than during work hours. Regarding the spatial dimension, our value of time measures are highly correlated both with real estate prices and urban GPS travel flows. A variance decomposition reveals that most of the substantial heterogeneity in the value of time is explained by individual differences as opposed to place or time of day. In contrast with other studies that focus on long run choices we do not find evidence of spatial sorting. We apply our measures to quantify the opportunity cost of traffic congestion in Prague, which we estimate at $483,000 per day.

We study the trade-offs faced by Internet Service Providers (ISPs) that serve as platforms through which consumers access both television and internet services. As online streaming video improves, these providers may respond by attempting to steer consumers away from streaming video toward their own TV services, or by attempting to capture surplus from this improved internet content. We augment the standard mixed bundling model to demonstrate the trade-offs the ISP faces when dealing with streaming video, and we show how these trade-offs change with the pricing options available to the ISP. Next, we use unique household-level panel data and the introduction of usage-based pricing (UBP) in a subset of markets to measure consumers' responses and to evaluate quantitatively the ISP's trade-offs. We find that the introduction of UBP led consumers to upgrade their internet service plans and lower overall internet usage. Our findings suggest that while steering consumers towards TV services is possible, it is likely costly for the ISP and therefore unlikely to be profitable. This is especially true if the ISP can offer rich pricing menus that allow it to capture some of the surplus generated by a better internet service. The results suggest that policies like UBP can increase ISPs' incentive to maintain open access to new internet content.

Brendan Leipsic talked his way out of a job.

Dominican Yankees and Mets stars are working with Pedro Martinez to respond to the coronavirus pandemic in their homeland.

Levine is making the rounds to make the case for baseball in the time of the coronavirus pandemic.

Joe Castiglione saw his first baseball game in the Bronx.

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.

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.

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.