Edward Conard

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  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
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  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
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Boeing Battles Brain Drain As Engineers Chase the Allure of Space

AI Summary. The average tenure of a Boeing engineer has fallen from 16.4 years to 12.6 years, according to data from the union representing 12,000 Boeing engineers, with tenure shortening in almost every age bracket. Analysts, recruiters and union officials describe this "brain drain" as a drag on operations that could make launching a new plane harder.

Claire Bushey Financial Times
Date Posted:
January 2, 2025
Is Database:
Database

The mean tenure of Boeing engineers has fallen from 16.4 to 12.6 years over the last decade as job cuts and competition from space firms increase; the brain drain is threatening the institutional knowledge needed to design and build a new plane.

Is shorter engineer tenure hurting a planemaker's ability to build new aircraft?

Core argument: The average tenure of a Boeing engineer fell from 16.4 years to 12.6 years over the past decade, according to data from the Society of Professional Engineering Employees in Aerospace, the union representing 12,000 Boeing engineers.

The average tenure of a Boeing engineer has fallen over the past decade from 16.4 years to 12.6 years, according to data from the union representing 12,000 Boeing engineers, the Society of Professional Engineering Employees in Aerospace. Tenure shortened in almost every age bracket, with employees in their 20s and 30s averaging fewer years, as well as those in their late 40s through 65. The risk of this “brain drain”, as analysts, recruiters and union officials have described it, is that it drags on current operations and could make it harder for Boeing to launch its next new plane. “All of this experience is gone,” said Matt Kempf, SPEEA’s senior director for compensation and retirement. That raises concerns because “aerospace engineers aren’t made, they’re grown”. Boeing also held back on announcing a new plane, depriving engineers of a moonshot project to excite imaginations. The last “clean sheet” aeroplane was launched 20 years ago and became the 787.

Takeaways by Macro Roundup® AI

  1. The average tenure of a Boeing engineer fell from 16.4 years to 12.6 years over the past decade, according to data from the Society of Professional Engineering Employees in Aerospace, the union representing 12,000 Boeing engineers.
  2. Boeing engineer tenure shortened in almost every age bracket, including employees in their 20s and 30s and those from their late 40s through 65, according to SPEEA data.
  3. Analysts, recruiters and union officials have described a "brain drain" at Boeing that drags on current operations and could make launching its next new plane harder; Boeing's last "clean sheet" aeroplane was launched 20 years ago and became the 787.

Related Articles:

  • Space: The Missing Element of Your Strategy — Private-sector funding of space-related companies has topped $10bn, close to a tenfold rise over the past decade, though the US government remains the largest source of space funding. If current momentum continues, commercial funding for space ventures could surpass government funding within 20 years.
  • It’s Not a Space Race, It’s the Space Olympics — The US operates 81% of commercial satellites in orbit and 86% of global effective launch capacity, with NATO allies second in satellites at 11% and China second in launch capacity at 9%. China is pursuing mega satellite constellations and reusable rockets, in many cases copying approaches already proven by US companies.
  • Building an Enduring Advantage in the Third Space Age — The United States and China each logged their highest-ever annual launch rates, at 103 and 66 launches, while Russia fell to 19 and Europe recorded three. The US accounted for roughly half of global launches but 81% of effective launch capacity, since Falcon 9 and Falcon Heavy comprised 93% of US launches.
  • Institutional Capabilities
  • Productivity
Previous articleJanuary 2, 2025The AlchemistsMichael Cembalest argues that “hyperscalers” like Google, Microsoft, and Meta would need to generate an additional $400-500B in revenue to earn their traditional 50% gross margins on $250B in projected 2025 data center spending.Next articleJanuary 2, 2025How Tariffs Can Help America.@michaelxpettis argues that tariffs would raise GDP: “By taxing consumption to subsidize production, modern-day tariffs would redirect a portion of US demand toward increasing the total amount of goods and services produced at home.”
Showing 4 database articles primarily about Institutional Capabilities

The World’s Rust Belts: The Heterogeneous Effects of Deindustrialization on 1,993 Cities in Six Countries

AI Summary. A study of 1,993 cities in France, Germany, Italy, Japan, the UK and the US finds former manufacturing hubs lost employment on average after each country's manufacturing peak, though a large share fully recovered. After the peak, hubs with a higher initial share of college-educated workers grew significantly faster.

Luisa Gagliardi, Enrico Moretti and Michel Serafinelli University of California
Date Posted:
October 31, 2023
Is Database:
Database
Is Important:
Important

Enrico Moretti, Michel Serafinelli and @GagliarL show that, among cities worldwide that were hit by shocks that caused a decline in manufacturing, those that had a high share of college-educated workers recovered faster.

Why do some former manufacturing hubs recover employment while others decline?

Core argument: Across 1,993 cities in France, Germany, Italy, Japan, the UK, and the US, former manufacturing hubs lost employment on average after their country's manufacturing peak, yet a surprisingly large share in each country fully recovered.

We study the employment consequences of deindustrialization for 1,993 cities in six countries: France, Germany, Italy, Japan, the United Kingdom, and the United States. We focus on former manufacturing hubs—defined as Local Labor Markets that in the year of their country’s manufacturing peak have a manufacturing employment share in the top tercile of their country’s distribution. While on average former manufacturing hubs lost employment after their country’s manufacturing peak, a surprisingly large share in each country was able to fully recover. We find that in the two decades before the relevant country’s manufacturing peak, cities with a high share of college-educated workers experienced a similar rate of employment growth as those with a low share of college-educated workers. By contrast, in the decades after the manufacturing peak, the employment trends diverge: cities with a high initial share of college-educated workers experience significantly faster employment growth.

Takeaways by Macro Roundup® AI

  1. Across 1,993 cities in France, Germany, Italy, Japan, the UK, and the US, former manufacturing hubs lost employment on average after their country's manufacturing peak, yet a surprisingly large share in each country fully recovered.
  2. In the two decades before each country's manufacturing peak, cities with high and low shares of college-educated workers grew employment at similar rates, with trends diverging only after the peak.
  3. After their country's manufacturing peak, cities with a high initial share of college-educated workers experienced significantly faster employment growth than those with a low share.

Related Articles:

  • Are Manufacturing Jobs Still Good Jobs? An Exploration of the Manufacturing Wage Premium — Manufacturing average hourly wages, once about 3% above private-sector wages, have grown more slowly than private-sector wages, erasing the manufacturing wage premium for most manufacturing jobs. The authors estimate that declining unionization accounts for more than 70% of that drop, an effect that remains significant after controlling for worker and sector characteristics.
  • Bottlenecks: Sectoral Imbalances and the US Productivity Slowdown — The authors estimate that greater dispersion in productivity growth among an industry's input and idea suppliers has a strong negative effect on that industry's own productivity growth, using data on 462 US manufacturing industries and 42 non-manufacturing industries. Their evidence implies most of the US productivity slowdown can be explained by rising cross-industry variance in productivity growth.
  • The Economics of Inequality in High-Wage Economies — United States Income, Wealth, Consumption, and Inequality Diana Furchtgott-Roth
  • Institutional Capabilities
  • Productivity
    • Workforce Reorganization
      • Urban vs Rural

Artificial Intelligence Is A Familiar-Looking Monster, Say Henry Farrell and Cosma Shalizi

AI Summary. Markets and bureaucracies are enormous impersonal distributed systems of information-processing that make use of tacit knowledge no individual brain or government can comprehend, and large language models are another such system rather than something new. The authors argue individual freedom is preserved by setting these systems against one another.

Henry Farrell and Cosma Shalizi The Economist
Date Posted:
June 27, 2023
Is Database:
Database

.@henryfarrell and Cosma Shalizi argue that free markets and institutional hierarchies were revolutions in human information-processing, and AI can be seen along the same lines.

.@henryfarrell and Cosma Shalizi argue that free markets and institutional hierarchies were revolutions in human...

Are large language models just another impersonal information-processing system like markets?

Core argument: Henry Farrell and Cosma Shalizi argue that artificial intelligence is a familiar-looking monster whose lineage began at least two centuries ago with the industrial revolution, when vast inhuman forces transformed human society.

Artificial intelligence is a familiar-looking monster, say Henry Farrell and Cosma Shalizi [that] began at least two centuries ago with the industrial revolution, when human society was transformed by vast inhuman forces. Markets and bureaucracies seem familiar, but they are actually enormous, impersonal distributed systems of information-processing [with minds of their own]. Economist Friedrich Hayek argued, any complex economy has to somehow make use of a terrifyingly large body of disorganised and informal “tacit knowledge” … [that] no individual brain or government can possibly comprehend. These vast machineries are simply incapable of caring if they crush the powerless or devour the virtuous. The modern world has been built by and within monsters, which crush individuals without remorse or hesitation. We eke out freedom by setting one against another, deploying bureaucracy to limit market excesses, democracy to hold bureaucrats accountable, and markets and bureaucracies to limit democracy’s monstrous tendencies.

Takeaways by Macro Roundup® AI

  1. Henry Farrell and Cosma Shalizi argue that artificial intelligence is a familiar-looking monster whose lineage began at least two centuries ago with the industrial revolution, when vast inhuman forces transformed human society.
  2. Farrell and Shalizi describe markets and bureaucracies as enormous, impersonal distributed information-processing systems with minds of their own, incapable of caring if they crush the powerless or devour the virtuous.
  3. Friedrich Hayek argued that any complex economy must make use of a terrifyingly large body of disorganised, informal "tacit knowledge" that no individual brain or government can comprehend, according to Farrell and Shalizi.
  • Institutional Capabilities
  • Productivity

Managers and Productivity in Retail

AI Summary. Managers account for 25–35% of the variance in store-level productivity in retail, about 50–70% of the explanatory power of store fixed effects. The authors estimate that moving a manager from the 10th to the 90th percentile raises productivity by 22–82%, equivalent to adding a fifth worker to a team of four.

Robert Metcalfe, Alexandre Sollaci and Chad Syverson National Bureau of Economic Research
Date Posted:
May 1, 2023
Is Database:
Database

Using evidence from two large retailers @RDMetcalfe @ASollaci @ChadSyverson find that individual managers, outside of firm-wide management practices, explain 25-35% of variance in store level productivity.

How much do managers explain differences in retail store productivity?

Core argument: Managers explain 25–35% of the variance in store-level retail productivity, about 50–70% of the explanatory power of store fixed effects, according to the authors' estimates.

Overall, managers explain between 25 and 35% of the variance of store-level productivity, which is about 50-70% of the explanatory power of store fixed effects. In the four largest connected sets across both companies, moving a manager from the 10th percentile to the 90th percentile increases overall productivity by between 22% and 82%. On average, this implies an effect on output equivalent to adding a fifth employee to a team of four.  We estimate that replacing a manager at the bottom of the distribution by one at the top could increase a store’s productivity by at least 50%, and perhaps as much as doubling it, depending on the company and the relevant connected set. 

Takeaways by Macro Roundup® AI

  1. Managers explain 25–35% of the variance in store-level retail productivity, about 50–70% of the explanatory power of store fixed effects, according to the authors' estimates.
  2. Moving a manager from the 10th to the 90th percentile raises overall productivity by 22–82% across the four largest connected sets in both companies, equivalent on average to adding a fifth employee to a team of four.
  3. The authors estimate that replacing a manager at the bottom of the distribution with one at the top could raise a store's productivity by at least 50%, and perhaps double it, depending on company and connected set.
  • Institutional Capabilities

How Technology Is Redrawing the Boundaries of the Firm

AI Summary. Average "outsourcing intensity"—a firm's external purchase commitments as a share of cost of sales—nearly doubled from 11% to 22% across a sample of large listed American and European firms, with the largest increases among technology companies such as Apple and Microsoft. This is consistent with research finding that firms outsource more as they grow larger and more complex.

Economist Staff The Economist
Date Posted:
January 11, 2023
Is Database:
Database

Firms are using technology to shift work to remote employees and third-party subcontractors. Outsourcing intensity has doubled from 11% in 2005 to 22% in 2021, which may compress white-collar wages going forward. @TheEconomist

Are large firms outsourcing more as they grow bigger and more complex?

Core argument: Average "outsourcing intensity" — external purchase commitments for the coming year as a share of cost of sales — nearly doubled from 11% in 2005 to 22% in 2021 or 2022 across a sample of large listed American and European firms, by The Economist's calculation.

Pinning down just how much firms depend on outsiders is tricky—companies do not advertise this sort of thing. A measure, “outsourcing intensity,” [tracks] a firm’s external purchase commitments in the upcoming year as a share of its cost of sales.  The Economist has calculated the measure using data from financial reports for a sample of large listed firms from America and Europe. Average outsourcing intensity across our sample has nearly doubled from 11% in 2005 to 22% in the most recent year of data (either 2021 or 2022). This growth is especially pronounced among tech titans such as Apple and Microsoft; businesses that grew little over the analyzed period, such as Unilever, a British consumer-goods giant, saw only small increases. This is consistent with research which finds that as firms grow ever larger and adopt more technologies, thus becoming more complex and unwieldy, they outsource more operations—precisely as Coase would have predicted.

Takeaways by Macro Roundup® AI

  1. Average "outsourcing intensity" — external purchase commitments for the coming year as a share of cost of sales — nearly doubled from 11% in 2005 to 22% in 2021 or 2022 across a sample of large listed American and European firms, by The Economist's calculation.
  2. Growth in outsourcing intensity was especially pronounced among tech titans such as Apple and Microsoft, while firms that grew little over the period, such as Unilever, saw only small increases.
  3. The Economist's findings are consistent with research finding that as firms grow larger and adopt more technologies, becoming more complex and unwieldy, they outsource more operations, as Coase would have predicted.

Firms are using technology to shift work to remote employees and third-party subcontractors. Outsourcing intensity has doubled from 11% in 2005 to 22% in 2021, which may compress white-collar wages going forward. “…Pinning down just how much firms depend on outsiders is tricky—companies do not advertise this sort of thing. A measure, “outsourcing intensity,” [tracks] a firm’s external purchase commitments in the upcoming year as a share of its cost of sales. The Economist has calculated the measure using data from financial reports for a sample of large listed firms from America and Europe. Average outsourcing intensity across our sample has nearly doubled from 11% in 2005 to 22% in the most recent year of data (either 2021 or 2022). This growth is especially pronounced among tech titans such as Apple and Microsoft; businesses that grew little over the analyzed period, such as Unilever, a British consumer-goods giant, saw only small increases. This is consistent with research which finds that as firms grow ever larger and adopt more technologies, thus becoming more complex and unwieldy, they outsource more operations—precisely as Coase would have predicted….”

Economist Staff, “How Technology is Redrawing the Boundaries of the Firm,” The Economist, January 8, 2023, https://www.economist.com/business/2023/01/08/how-technology-is-redrawing-the-boundaries-of-the-firm

How Technology is Redrawing the Boundaries of the Firm

Technology and business are inextricably linked. Entrepreneurs harness technological advances and, with skill and luck, turn them into profitable products. Technology, in turn, changes how firms operate. Electricity enabled the creation of larger, more efficient factories, since these no longer needed to depend on a central source of steam power; email has done away with most letters. But new technologies also affect business in a subtler, more profound way. They alter not just how companies do things but also what they do—and, critically, what they don’t do.

The Industrial Revolution ended the “putting-out system”, in which companies obtained raw materials but outsourced manufacturing to self-employed craftsmen who worked at home and were paid by output. Factories strengthened the tie between workers, now employed directly and paid by the hour, and workplace. The telegraph, telephone and, in the last century, containerised shipping and better information technology (it), have allowed multinational companies to subcontract ever more tasks to ever more places. China became the world’s factory; India became its back office. Nearly three years after the pandemic began, it is clear that technology is once again profoundly redrawing the boundaries of the firm.

In the rich world, fast broadband and apps like Zoom or Microsoft Teams are allowing a third of working days to be done remotely. Jobs are trickling out from big-city corporate headquarters to smaller towns and the boondocks. And the line between collaborating with a colleague, a freelance worker or another firm is blurring.

Companies are drawing on common pools of resources, from cloud computing to human capital. By one estimate, skilled freelance workers in America earned $247bn in 2021, up from about $135bn in 2018. The biggest firms in America and Europe are outsourcing more white-collar work. Exports of commercial services from six large emerging markets have grown by 16.5% a year since the pandemic began, up from 6.5% before it (see chart 1). On January 9th Tata Consultancy Services (tcs), an Indian it-outsourcing giant, reported another bump in profits.

A useful lens for understanding these changes was offered by Ronald Coase in his paper from 1937 entitled “The nature of the firm”. Stay small and you forgo the efficiencies of scale. Grow too big and an enterprise gets unwieldy—think of Soviet-style command-and-control economies. Most commerce happens in between those extremes. Coase, whose insights earned him a Nobel prize in economics, argued that firms’ boundaries—what to do and what not to do yourself—are determined by how transaction and information costs differ within firms and between them. Some things are done most efficiently in-house. The market takes care of the rest.

For example, between the 1980s and the 2010s, globalisation and the it boom boosted economies of scale, which encouraged market concentration. But they also increased competitive pressures and cut the cost of communication and collaboration between firms. The net result was for many companies to shrink their scopes. In research published last year Lorenz Ekerdt and Kai-Jie Wu of the University of Rochester found that the average number of sectors in which American manufacturers were active fell by half between 1977 and 2017. By the 2000s many sprawling industrial conglomerates like Germany’s Degussa, which had a hand in everything from metals to medicine, or British Aerospace, which was poking at cars, had untangled themselves and picked the knitting to stick to (chemicals and aircraft, respectively).

Today Coasean forces are ushering in a new type of corporate organisation. It resembles a 21st-century putting-out system—not for artisan craftsmen but for the white-collar professionals who epitomise modern Western economies. Micha Kaufman, boss of Fiverr, an Israeli marketplace which matches freelances with business around the world, observes that firms are getting better at measuring workers’ performance based on their actual output rather than time spent producing it. This is true both of employees and subcontractors. The result is a reorganisation of businesses both internally, and in relation to other companies in the economy.

Start on the inside. Using data from America’s Quarterly Census of Employment and Wages, The Economist has examined jobs in three sectors particularly compatible with remote work: technology, finance and professional services. We find that such jobs have become far more distributed across America since the pandemic. Big metropolitan areas have lost out to smaller cities and even the countryside. Since the fourth quarter of 2019, the number of jobs in the three sectors has grown by six percentage points more in rural areas than in San Francisco and New York.

Firms are also distributing more work across borders. Oswald Yeo, who runs Glints, a recruiting startup in Singapore, says his firm hires employees in batches by country. That helps the new recruits to form in-person bonds with compatriots, while expanding Glints’s talent pool, Mr Yeo explains. There is a premium for places with a small time difference. In Glints’s case, that is countries like Indonesia.

For American firms, it is often Canada. Microsoft, which opened its first Canadian office in 1985, created a big new one in Toronto in 2022. Google is tripling its Canadian workforce to 5,000. A study last year by cbre, a property firm, of the 50 cities in America and Canada with the most tech workers found that four of the top ten were Canadian. Together, the four added 180,000 tech jobs between 2016 and 2021, an increase of 39%, while the top four American cities gained just 86,000 jobs, or 8%. Lower living costs help; the Canadian quartet were among the 16 cheapest cities in the group in terms of housing.

Barriers to immigration are another factor forcing firms to look abroad, says Prithwiraj Choudhury of Harvard Business School. Mr Choudhury has documented a growing class of firms that help employers forge stable relationships with foreign employees without hiring them directly. One example is MobSquad, a firm that enlists skilled workers unable to obtain visas to America and employs them in Canada instead. Its American clients include Betterment, an investment firm, and Guardant Health, a biotechnology company.

MobSquad’s recruits sit somewhere between outsourced temps and full-time employees. This sort of arrangement points to the bigger Coasean shift—to how firms demarcate which tasks they perform on their own account and which they subcontract.

A survey of nearly 500 American firms by the Federal Reserve Bank of Atlanta last year found that 18% were using more independent contractors than in previous years; 2% said they used fewer. On top of that, 13% relied more on leased workers, compared with 1% who reduced this reliance. mbo Partners, a workforce-management firm, estimates that the number of American workers engaged in independent work for at least 15 hours a week increased from 15m in 2019 to 22m in 2022. Figures from the Bureau of Labour Statistics are more conservative, but still show that nearly 1m more Americans are self-employed than at the start of 2020. Pandemic-era job losses forcing people into less desirable work arrangements cannot be the whole story; a similar surge in self-employment did not occur after the global financial crisis of 2007-09.

The shift is again made possible by technology, notably the spread of platforms for freelance work. Having grown slowly, from 9% of America’s labour force in 2000 to 11% in 2018, self-employment is becoming more common. Gig work is no longer just about ride-hailing or food delivery. Whereas earlier platforms, such as Taskrabbit, focused on routine tasks, emerging new ones recruit freelances for complicated work. Upwork specialises in web development; Fiverr is known for media production. Amazon turned to Tongal, another freelancing platform, when it needed a team to rapidly produce social-media content for its Prime tv shows.

Besides making it easier to tap non-employees, technology is enabling companies to collaborate more seamlessly with other businesses. In 2020 Slack, the messaging platform of choice in many a workplace, launched a feature that lets users communicate with outside firms as they would within their own organisations. More than 70% of the Fortune 100 list of America’s biggest firms by revenue use the feature. The Atlanta Fed’s survey found that 16% of responding firms had increased domestic outsourcing and 6% had offshored more. Already, combined revenues for six big it-services firms with large operations in India—Cognizant, hclt, Infosys, tcs, Tech Mahindra and Wipro—grew by 25% between the third quarter of 2019 and the same period last year.

Pinning down just how much firms depend on outsiders is tricky—companies do not advertise this sort of thing. To get an idea, Katie Moon and Gordon Phillips, two economists, look at a firm’s external purchase commitments in the upcoming year as a share of its cost of sales. As a snapshot of the economy, this measure of “outsourcing intensity” must be treated with caution; it does not capture all types of outsourcing and different firms account for external purchases in different ways. But it usefully illustrates changes over time. image001.png The Economist has calculated the measure using data from financial reports for a sample of large listed firms in America and Europe. They are indeed growing more reliant on others. Average outsourcing intensity in our sample has doubled from 11% in 2005 to 22% in the most recent year of data. This growth is especially pronounced among tech titans such as Apple and Microsoft; businesses that grew more slowly, such as Walmart, a retailing giant, saw small increases. This is consistent with research which finds that as firms grow larger and adopt more technologies, thus becoming more complex and unwieldy, they outsource more operations—precisely as Coase would have predicted.

As technology evolves further, so will the contours of the firm. Companies may gain more flexibility to seek out new workers for new tasks in new places. Portugal has created a visa for digital nomads, who will be able to work from the country for a year. Argentina wants to introduce a preferential exchange rate for freelance workers selling their services abroad: the “tech dollar” would ensure that they were not exposed to the rapidly devaluing peso.

For Western white-collar types, stiffer competition for jobs may compress pay. According to a working paper published last year, by Alberto Cavallo of Harvard Business School and colleagues, wages differ less between countries for occupations that are more prone to outsourcing. That means higher living standards for workers in poorer countries and, possibly higher profits for their employers. And for Coase, it means continued relevance.

  • Institutional Capabilities
  • Productivity
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      • Urban vs Rural
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