On Good and (Mostly) Bad Investments

I ran across an article by Lyn Schwartzer on seeking Alpha last week, which I thought was insightful regarding investments. Here is my summary.

The article is Most Investments Are Bad. Here’s Why, And What To Do About It.    The article’s first bullet point is “Historical data shows that the majority of investments, including bonds, stocks, and real estate, perform poorly.” Unpacking this, looking at various investment classes:

Bonds and Stocks

Investment-grade bonds typically pay interest rates just a little above inflation, so it’s not surprising that they have been mediocre investments over the long-term. The prices of long bonds (10 years or more maturity) tended to rise between about 1985 and 2020, as interest rates came steadily down, but that tailwind is pretty much over.

It has been known for years, e.g. from a study by Hendrik Bessembinder, that only a tiny fraction of stocks makes up the vast majority of returns in equity markets. I wrote about this a couple of years ago on this blog.:

The rise of the S&P is entirely due to huge gains by a tiny subset of stocks. The average stock actually loses money over both short and long time periods. … half of the U.S. stock market wealth creation [1926-2015] had come from a mere 0.33% of the listed companies… Out of some 26,000 listed companies, 86 of them (0.33%) provided 50% of the aggregate wealth creation, and the top 983 companies (4%) accounted for the full 100%. That means the other 25,000 companies netted out to zero return. Some gave positive returns, while most were net losers.

As investors, we of course want to know how to lock in on those few stocks that will perform well. I see two approaches here, not mentioned in the article. One is to be very good at analyzing the finances and market environments of companies, to be able to pick individual firms which will be able to grow their profits. Being lucky here probably helps, as well.   An easier and very effective method is to simply invest in the S&P 500 index funds like SPY or VOO. Because these funds are weighted by stock capitalization, they inexorably increase their weighting of the more successful companies and dial down the unsuccessful companies. This dumb, automatic selection process is so effective that it is very difficult for any active stock-picking fund manager to beat the S&P 500 for any length of time.

What the article suggests in this regard is to focus on businesses that have “durable competitive advantages (network effects, powerful brands, intangible property, economies of scale, oligopoly participation, and so forth),” or to try to pick up decent/mediocre companies at a low price.

The big tech companies which are mainly listed on the NASDAQ exchange have these durable advantages, and indeed the QQQ fund which is comprised of the hundred largest stocks on the NASDAQ has far outpaced the broader-based S&P 500 fund over the last 10 or 20 years.

Real Estate

All of us suburbanites know that owning your own home has been one of the best investments you can make, over the past few decades. The article points out, however, that real estate in general has not been such a great performer. If your property is not located close to a thriving metropolitan area, where people want to live, it can be a dog.    The article cites abandoned properties all around Detroit (“large once-expensive homes that are now rotting on parcels of land that nobody wants”), and notes, “In Japan, there are millions of abandoned countryside homes that are nearly free. Many of them are in beautiful and safe rural areas, and yet there is insufficient demand for them.”

And so, “Most real estate falls somewhere between those extremes. It performs decently, especially when considering that it can replace the owner’s rental income or be rented out for cashflows, but after maintenance and taxes are considered, its unlevered total return from price appreciation and cashflow generation net of maintenance leaves something to be desired relative to gold.”

Gold As a Reference

The article uses gold as, well, the gold standard of investing returns. The supply of gold creeps up roughly 1.5% per year, so after say 95 years there is four times as much physical gold as before. We find that an ounce of gold will buy more food or more manufactured goods than it did a century ago, but that is because our efficiency of producing such things has increased faster than the gold supply. On the other hand, “All government bonds have underperformed gold over the long run, and most unlevered real estate has underperformed gold as well.” Stocks in the broad U.S. market (most foreign stock markets did more poorly) greatly outperformed gold, but that is only accomplished by the top 4% of stocks. The other 96% of stocks as group did not generate any excess returns.

Owner-Operators versus Passive Investors

I am looking at these issues from the point of view of a passive investor – I have some extra cash that I want to plow into some investment, and have it return my original capital plus another say 10%/year, without me having to do extra work. It turns out that many companies, especially smaller ones, provide useful products to customers and they make enough profit to pay off the owner/operators and the employees, but not enough to reward outside passive investors, too. These companies serve an important role in society, but are not viable investment vehicles:

Being an owner-operator of a business, or a worker at a business, makes a lot of sense. However, the vast majority of businesses are not strong enough to provide good returns for outside passive investors after all expenses (including salaries) are considered.

Good returns for outside passive investors are reserved for only the best types of companies; companies that are so dominant and high-margin that even after paying all of their executives and workers, they have plenty of excess profits for outside passive investors. Although stocks from any sector can have these characteristics, Bessembinder’s research found that major outperformers were disproportionally concentrated in the technology, telecommunications, energy, and healthcare/pharmaceutical sectors. They are on the right side of an emerging tech trend, they have network effects, they have economies of scale, they have protected intangible property such as patents, or they are part of an oligopoly, and so forth.

Similarly, real estate (especially unlevered), works most easily when it is occupied or used by the owner. After all, you must live somewhere. Now, you can make money buying and renting/flipping properties, but that typically demands work on your part. You add value by fixing the tenant’s toilet or arranging for a plumber, or by scoping the market and identifying a promising property to buy, and by working to upgrade its kitchen. All this effort is not the same as just throwing money at some building as a passive investor, and walking away for five years.

Upping Returns via Leverage

This is a packed sentence: “Historically, a key way to turn mediocre investments into good investments has been to apply leverage. That’s not a recommendation; that’s a historical analysis, and it comes with survivorship bias.”

For example, banks have historically borrowed money (e.g. from their depositors) at lowish, short-term rates, and combined a lot of those funds with the bank corporate equity, to purchase and hold longer-term bonds that pay slightly higher rates. Banks are often levered (assets vs. equity) 10:1. This technique allows them to earn much higher returns on their equity than if they used their equity alone to buy bonds.

It is easy to leverage real estate. If you put 20% down and borrow the rest, bam, you are levered 5:1. Now if the value of your house goes up 6%/year while you are only paying 3% on your mortgage, the return on the actual cash (the 20% down) you put in becomes quite juicy: “After maintenance and recurring taxes, the majority of unlevered real estate, even when rented out for cashflows, doesn’t outperform gold. But unlike gold, 5-to-1 leverage makes real estate actually pretty good in many contexts, and historically allows it to outperform gold.”

Large corporations can leverage up by issuing relatively low-interest bonds: “They can borrow large amounts of money for decades at low interest rates, and use that capital to organically expand their business, buy smaller companies, or buy back their own shares. Either way, they are borrowing abundant fiat currency at low rates and using that capital to build or buy business equity, and they are arbitraging that spread for shareholders.”

Savvy firms like Warren Buffett’s Berkshire Hathaway take it a step further, by having controlling interests in insurance companies, and investing the low-cost “float” funds, as we described here. From the article:

Berkshire has also made a habit out of buying small and medium sized private businesses in full. Many of these smaller companies would have higher borrowing costs if they were independent. But Berkshire can buy a lot of them, and then issue corporate debt at the parent company level at much lower interest rates than any of them could issue on their own. So he can buy a lot of unlevered cashflow-producing small or medium-sized businesses, and turn them into a portfolio of businesses that are levered with Berkshire’s very low cost of capital.

Now other companies like Ares Management and Apollo are jumping onto this arbitrage bandwagon, buying up insurance companies to get access to their captive cash, to be used for investing.

Here is another rough example of the power of leverage. The unleveraged fund BKLN holds bank loans, and so does the closed end fund VVR. But VVR borrows money to add to the shareholders’ equity. There is more complication (discount to net asset value) with VVR which we will not go into, but the following 5-year chart of total returns (share price plus reinvested dividends) shows nearly triple the return for VVR, albeit with higher volatility:

The Changing Global Economic Landscape

The article closes with some summary observations and recommendations. The past 30-40 years have been marked by ever-decreasing interest rates, and by cooperation among nations and generally increasing globalization. It seems that these trends have broken and so what worked for the last four decades (buy stocks, shun gold) may not be as good going forward:

For equity and real estate investors, the key takeaways from this piece are 1) do not extrapolate the prior decades for a given investment and instead assess it with this context in mind, 2) try to emphasize the sectors [such as Big Tech]  that Bessembinder identified as ones that disproportionally generate excess returns, and 3) look for companies that have locked in or are otherwise still able to play this arbitrage game going forward in a more difficult environment for it.

Additionally, hard monies [i.e. gold, silver] become a serious alternative once again in this context, and are worth serious consideration for a portfolio slice, because the hurdle rate for stocks to outperform them is high when there are not a lot of tailwinds at the backs of stocks.

Academic economists are overcommitted

Jingi Qui, Tan Chen, Alain Cohn, and Alvin Roth ran a cool field experiment asking the question: does it matter if a prominent economist quote tweets your job market paper? Well, it turns out, yes, it does:

I’m not going to call anyone out, but there was definitely some significant pearl clutching about young careers, IRB, and did the job candidates in the control group give permission to not be retweeted by a prominent economist. I do not care about any of that. I’ll go on the record and say that a) I believe those concerns to be silly and b) if you don’t think they are silly, for your own mental health don’t start digging into how medical science is advanced at the stage of human trials.

What I do care about is the results and what they mean. All publicity is good publicity, doubly so when it implies a famous person has vouched for your paper. It’s the vouching that intrigues me because it’s so weak. It’s a retweeting. It should help you get out of a pile and into a slightly smaller pile. In a job market with a 500-1000 applicants for most positions and only 10-20 first interview slots that lead to 4-7 flyouts, the effect should be trivial. Twenty-five percent additional flyouts is not trivial. If anything it’s catastropic.

“Catastropic” is hyperbole, but this is a blog and that is the currency we deal in.

Twenty-five percent more flyouts are, to me, further evidence of the true source of most of the pathologies of academic economics: we’re overcommitted. We don’t have time to do things like reading papers. This is especially problematic for hiring committees tasked with sorted through 500 to 1000 applicants, each of whom has written a job paper. Careful, dear reader, because you might not like how far this logic can take you.

Why do journal reviews feel so capricious and random? Because the referees don’t have time to read anything or they won’t have time to work on their own submissions. Why does the NBER essentially operate as a club whose principal membership mechanism whether you are a student of a current member at a top 10 school? Because what else are they going to do, read 2000 applicant CVs every year? Why does a three-three teaching load feel utterly damning to those trying to start a research career? Because they marginal cost of additional teaching for someone without any research assistance leaves them a simple choice: no sleep or no research. Do I even have to get into the costs of having children early in careers?

So yeah, if I’m on a hiring committee and someone famous retweets your job market paper, I might just skim it there and then on my computer screen (it’s low marginal cost). It’s there in front of me, so I’ll probably more than read the abstract, I’ll skim the tables and figures too. And that’s all it takes. I’ve got a mandate to come up with a list of 10 candidates I think we should consider interviewing. Who am I to disagree with Famous Economist X when a moment’s humility will put me 10% closer to meeting my obligation?

I’m not saying we’re not star-f…..I’m not saying we’re not status seekers, it’s just that the obsession with status in academia is inframarginal in this context. What’s driving these results is stressed-out folks whose own imposter syndrome makes them incredibly vulnerable to any sort of low-cost information i.e. advertising that offers a new and easy way to economize on their time.

That’s it, that’s the post. I don’t have time to come up with a clever ending.

Do Less for Preschool

Today I will write about something I care deeply about: the wellbeing of the moms of young children.

I can remember having a child enrolled in preschool. It was expensive but it was worth it, for us. What follows will be most relevant to readers who are working full-time and have children enrolled in full-time daycare/preschool. That is not the right choice for every family. If it’s the choice you made, then read on.

Do less for preschool. Save your energy and money for the years when your child will actually remember.

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Hotel Taxes and Quality: Why Georgia Sucks (Value)

Every year my family travels from SW Florida to the mid Atlantic area. Without stops it takes 16-17 hours. With small children, it’s definitely a two day trip. We find that they handle it better if we leave super early, take a longer leg on the first day, then stop at a hotel midway and get the kids in the pool to help burn off some energy. We also rent a suite whenever possible.

We’ve made this trip many times. I use the Bonvoy app which is for Marriott hotels. We even have a particular hotel that we prefer: The Fairfield Inn in Santee, SC. It’s clean, spacious, the employees are welcoming and kind, the breakfast includes cooked items that aren’t bad, it’s within walking distance of a grocery store, and the price isn’t bad at all. Fairfield Inns are generally a great price per quality…. But not in Georgia.

I’ve stopped at several Fairfield Inns in GA: near Atlanta, near Savannah, and we’ve been disappointed. Every. Single. Time. All the margins on which the Fairfield in Santee is great are the same margins on which Georgia ones are poor. I’m sure that there is not just one reason. Maybe there is a bad regional manager or bad assistant to the regional manager. That’s not my primary hypothesis though.

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Childhoods of exceptional people

Henrik Karlsson read lots of biographies of geniuses and tried to sum up the things their childhoods had in common here. Some highlights:

At least two-thirds of my sample was home-educated (most commonly until about age 12), tutored by parents or governesses and tutors. The rest of my sample had been educated in schools (most commonly Jesuit schools).

As children, they were integrated with exceptional adults—and were taken seriously by them.

They had time to roam about and relied heavily on self-directed learning

A common theme in the biographies is that the area of study which would eventually give them fame came to them almost like a wild hallucination induced by overdosing on boredom. They would be overcome by an obsession arising from within.

They were heavily tutored 1-on-1

An important factor to acknowledge is that these children did not only receive an exceptional education; they were also exceptionally gifted.

There is lots of discussion of John Stuart Mill and John Von Neumann, who each had major contributions to economics:

When they were done, James Mill took his son’s notes and polished them into the book Elements of Political Economy. It was published the year John Stuart turned fifteen….

There is a moving scene in John Stuart Mill’s biography, when John Stuart is about to set out into the world and his father for the first time lets him know that his education had been . . . a bit particular. He would discover that others his age did not know as much as he did. But, his father said, he mustn’t feel proud about that. He’d just been lucky.

Let’s make more people lucky.

Other nice posts along similar lines are Erik Hoel’s “How Geniuses Used to Be Raised” (linked in Karlsson’s piece), and Scott Alexander’s review of Laszlo Polgar’s book “Raise a Genius” (about raising his 3 daughters to be chess grandmasters). Karlsson’s post, worth reading in full, is here.

Income Growth Since 1966 in the US

Has the US tax and transfer system reached an egalitarian ideal? That’s one reading of this new working paper “How Progressive is the U.S. Tax System?” by Coleman and Weisbach. After accounting for all taxes and transfers (red lines in the charts), Americans across the income distribution saw roughly 250% real gains in income since 1966:

While market income has grown faster at the top of the income distribution (especially the top 1%), we also tax the rich heavily and use much of that tax revenue to fund direct transfers to poorer Americans and fund programs (such as Medicaid) which benefit poorer Americans. Put it all together, and everyone has seen similar gains over the past five decades, and these gains are fairly large: no Great Stagnation!

How To Import a List of Names and Addresses into Gmail Contact Group

I recently did some business where I had a text file of names and email addresses that I wanted to send a group email to, in Gmail. Here I will share the steps I followed to import this info into a Google contact group.

The Big Picture

First, a couple of overall concepts. In Gmail (and Google), your contacts exist in a big list of all your contacts. To create a group of contacts for a mass email, you have to apply a label to those particular contacts. A given contact can have more than one label (i.e., can be member of more than one group).

To enter one new contact at a time into Gmail, you go to Contacts and Create Contact, and type in or copy/paste in data like name and email address for each person or organization. But to enter a list of many contacts all at once, you must have these contacts in the form of either a CSV or vCard file, which Google can import. So here, first I will describe the steps to create a CSV file, and then the steps to import that into Gmail.

Comma-separated values (CSV) is a text file format that uses commas to separate values. Each record (for us, this means each contact) is on a separate line of plain text. Each record consists of the same number of fields, and these are separated by commas in the CSV file.

A list of names and of email contacts (two fields) might look like this in CSV format:

Allen Aardvark, aaaardvark@yahoo.com

Bob Branson, sface33@gmail.com

Cathy Chase, cchase27@verizon.net

We could have added additional data (more fields) for each contact, such as home phone numbers and cell numbers, again separated by commas.

For Gmail to import this as a contact list, this is not quite enough. Google demands a header line, to identify the meaning of these chunks of data (i.e., to tell Google that these are in fact contact names, followed by email addresses).  This requires specific wording in the header. For a contact name and for one (out of a possible two) email address, the header entries would be “Name” and “E-mail 1 – Value”.  If we had wanted to add, say, home phones and cell phones, we could have added four more fields to the header line, namely: ,Phone 1 - Type,Phone 1 - Value,Phone 2 - Type,Phone 2 – Value   . For a complete list of possible header items, see the Appendix. 

The Steps

Here are steps to create a CSV file of contacts, and then import that file to Gmail:

( 1 ) Start with a text file of the names and addresses, separated by commas. Add a header line at the top: Name, E-mail 1 – Value . If this is in Word, Save As a plain text file (.txt). For our little list, this text file would look like this:

Name, E-mail 1 – Value

Allen Aardvark, aaaardvark@yahoo.com

Bob Branson, sface33@gmail.com

Cathy Chase, cchase27@verizon.net

( 2 ) Open this file in Excel: Start Excel, click Open, use Browse if necessary, select “All Files” (not just “Excel Files”) and find and select your text file. The Text Import Wizard will appear. Make sure the “Delimited” option is checked. Click Next.

In the next window, select “Comma” (not the default “Tab”) in the Delimiters section, then click “Next.” In the final window, you’ll need to specify the column data format. I suggest leaving it at “General,” and click “Finish.” If all has gone well, you should see an Excel sheet with your data in two columns.

( 3 ) Save the Excel sheet data as a CSV file: Under the File tab, choose Save As, and specify a folder into which the new file will be saved. A final window will appear where you specify the new file name (I’ll use “Close Friends List”), and the new file type. For “Save as type” there are several CSV options; on my PC I used “CSV (MS-DOS)”.

( 4 ) Go to Gmail or Google, and click on the nine-dots icon at the upper right, and select Contacts. At the upper left of the Contacts page, click Create Contact. You’ll have choice between Create a Contact (for single contact), or Create multiple contacts. Click on the latter.

( 5 ) Up pops a Create Multiple Contacts window. At the upper right of that window you can select what existing label (contact group name) you want to apply to this new list of names, or create a new label. For this example, I created (entered) a new label (in place of “No Label”), called Close Friends. Then, towards the bottom of this window, click on Import Contacts.

Then (in the new window that pops up) select the name of the incoming CSV file, and click Import. That’s it!

The new contacts will be in your overall contact list, with the group name label applied to them. There will also be a default group label “Imported on [today’s date]” created (also applied to this bunch of contacts). You can delete that label from the list of labels (bottom left of the Contacts page), using the “Keep the Contacts” option so the new contacts don’t get erased.

( 6 ) Now you can send out emails to this whole group of contacts. If this is a more professional or sensitive situation, or if the list of contacts is unwieldy (e.g. over ten or so), you might just send the email to yourself and bcc it to the labeled group.

APPENDIX: List of all Header Entries for CSV Files, for Importing Contacts to Gmail

I listed above several header entries which could be used to tell Google what the data is in your list of contact information. This Productivity Portfolio link has more detailed information.   This includes tips for using VCard file format for transferring contact information (use app like Outlook to generate VCard or CSV file, then fix header info as needed, and then import that file into Google contacts).

There is also a complete list of header entries for a CSV file, which is available as an Excel file by clicking his  “ My Google Contacts CSV Template “  button. The Excel spreadsheet format is convenient for lining things up for actual usage, but I have copied the long list of header items into a long text string to dump here, to give you the idea of what other header items might look like:

Name,Given Name,Additional Name,Family Name,Yomi Name,Given Name Yomi,Additional Name Yomi,Family Name Yomi,Name Prefix,Name Suffix,Initials,Nickname,Short Name,Maiden Name,Birthday,Gender,Location,Billing Information,Directory Server,Mileage,Occupation,Hobby,Sensitivity,Priority,Subject,Notes,Language,Photo,Group Membership,E-mail 1 – Type,E-mail 1 – Value,E-mail 2 – Type,E-mail 2 – Value,Phone 1 – Type,Phone 1 – Value,Phone 2 – Type,Phone 2 – Value,Phone 3 – Type,Phone 3 – Value,Phone 4 – Type,Phone 4 – Value,Phone 5 – Type,Phone 5 – Value,Address 1 – Type,Address 1 – Formatted,Address 1 – Street,Address 1 – City,Address 1 – PO Box,Address 1 – Region,Address 1 – Postal Code,Address 1 – Country,Address 1 – Extended Address,Address 2 – Type,Address 2 – Formatted,Address 2 – Street,Address 2 – City,Address 2 – PO Box,Address 2 – Region,Address 2 – Postal Code,Address 2 – Country,Address 2 – Extended Address,Organization 1 – Type,Organization 1 – Name,Organization 1 – Yomi Name,Organization 1 – Title,Organization 1 – Department,Organization 1 – Symbol,Organization 1 – Location,Organization 1 – Job Description,Relation 1 – Type,Relation 1 – Value,Relation 2 – Type,Relation 2 – Value,Relation 3 – Type,Relation 3 – Value,Relation 4 – Type,Relation 4 – Value,External ID 1 – Type,External ID 1 – Value,External ID 2 – Type,External ID 2 – Value,Website 1 – Type,Website 1 – Value,Event 1 – Type,Event 1 – Value

I bolded the two items I actually used in my example (Name and E-mail 1 – Value), as well as a pair of entries ( Phone 1 – Type and Phone 1 – Value) as header items which you might use for including, say, cell phone numbers in your CSV file of contact information.

Athletes get a lot of bad financial advice

I was watching the most recent episode of Welcome to Wrexam and was horrified to see another athlete with the wisdom to start planning for their future only for their time and money to be guided into a high risk, low payoff investment.

Stop!

If you are a professional athlete, actor, musician- if you are anyone in a career whose dollar rewards are front-loaded within careers that are short and hard to forecast – please, in the name of Shaquille O’Neal and all that is holy, do not take the money that needs to be the foundation of your family’s financial wellbeing and throw it into endeavors that are more likely to melt it down than grow and prosper.

Ok, Mr Know It All Economist, What should I do with myself and my money?

Great question, let’s start with what you shouldn’t do.

  1. Don’t invest your money in anything cool. Your peak income earning years are likely behind you. You can’t afford to be paid in cool. Everything balances out in the wash. If something is cool to invest in (art, music, memorabilia, fashion, film, etc) then it pays out that much less monetarily.
  2. Don’t invest your time or money in anything that priortizes the economic outcomes of everyone but you. You’re heavily specialized, which means you may have managers, agents, publicists, etc. You’re a gravy train for others and that train is going to slow down one day. Your job is to ensure your future, not theirs.
  3. Don’t insist on maintaining the same economic trajectory. Trying to match or beat your peak athletic earnings is going lead you to taking on too much risk. Look for skills and opportunities that accessible that offer a career you can imagine doing for 20 years. Leverage your connections, skills, public awareness, and interests.
  4. Try to tame your instincts towards overconfidence. You were in the top 0.01% of the population for your previous athletic endeavor. You are highly unlikely to be at the same level of elite excellence at your next profession. Look for something you are likely to be good at. Good can and may turn into great, but don’t assume it from the start.

Ok, but what does that add up to? What should I actually do?

Fine, here you go.

  1. Invest most of your money in S&P 500 index funds.
  2. Buy a house in a place you want to live long term. However much house you think you should buy, get 25% less.
  3. Look for a job. Don’t overconcern yourself with the salary, focus on skill acquisition. If need by, take an internship or two.
  4. If there is a field you want to work in, yes, even a cool one, and someone gives you an opportunity to work and learn, by all means go for it. But if they ask you for money, run away as fast as you can.
  5. Take risks with your time and your feelings (it’s been a long time since you were bad at something!), not with your money.

It’s ok to make less money and in less exciting ways. Ninety-nine percent of people can’t be wrong.

Humanity’s Childhood and Chiefs

I’m going to explore a passage from The Dawn of Everything about whether humans reject Western civilization.

The introductory chapter of The Dawn of Everything is called “Farewell to Humanity’s Childhood.” The authors are idealists wrestling with big questions.

We can take [Steven] Pinker as our quintessential Hobbesian. (page 13)

For instance, if Pinker is correct, then any sane person who had to choose between (a) the violent chaos and abject poverty of the ‘tribal’ stage in human development and (b) the relative security and prosperity of Western civilization would not hesitate to leap for safety. (page 18)

Over the last several centuries, there have been numerous occasions when individuals found themselves in a position to make precisely this choice – and they almost never go the way Pinker would have predicted.

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Almost Observable Human Capital

I’ve written about IPUMS before. It’s great. Among individual details are their occupations and industry of their occupation. That’s convenient because we can observe how technology spread across America by observing employment in those industries. We can also identify whether demographic subgroups differed or not by occupation. There’s plenty of ways to slice the data: sex, race, age, nativity, etc.

But what do we know about historical occupations and what they entailed? At first blush, we just have our intuition. But it turns out that we have more. There is a super boring 1949 report published by the Department of Labor called the “Dictionary of Occupational Titles”. The title says it all. But, the DOL published another report in 1956 that’s conceptually more interesting called “Estimates of Worker Trait Requirements for 4,000 Jobs as Defined in the Dictionary of Occupational Titles: An Alphabetical Index”.  The report lists thousands of occupations and identifies typical worker aptitudes, worker temperaments, worker interests, worker physical capacities, and working conditions. Below is a sample of the how the table is organized:

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