Crémieux Profile picture
Aug 26 • 23 tweets • 8 min read Twitter logo Read on Twitter
Remember that time economists used a gravity model to find ancient lost cities from the Bronze Age?

If you do or you don't, check out this thread🧵 Image
The authors gained access to a collection of almost 12,000 deciphered and edited texts that were excavated primarily at the archaeological site of Kültepe, ancient Kaneš.

The ruins (pictured) are located in central Turkey, in the province of Kayseri. Image
The texts look like this.

They were inscribed on clay tablets in the Old Assyrian dialect of Akkadian in cuneiform by ancient Assyrian merchants, business partners, and their family members.

This tablet is dated to between 1930 and 1775 B.C. Image
The tablets were all from between 1930 and 1775 B.C., and 90% of the sample came from just one generation of traders, between 1895 and 1865 B.C.

The reason is that Kaneš experienced a major fire in 1840 B.C. and the commercial archives in the city were sealed off. Image
Tablets were largely business letters, shipment documents, accounting records, seals, and contracts.

A typical shipment document or expense account in which a merchant would inform partners about their cargo and expenses would read like this: Image
Some business letters would contain information about market and transport conditions, like this: Image
The tablets are spread across the world in museums and institutions, but many have been transcribed.

The transcribed ones mentioned 79 cities distributed across modern-day Iraq, Syria, and Turkey and 2,806 mentioned at least two Anatolian city names simultaneously, like so: Image
That tablet identified three shipments: Durhumit to Kaneš, Kaneš to Wahšušana, and Durhumit to Wahšušana.

So the itinerary is A→B→C, and there were 227 of these, with 391 examples of travel between city pairs.

Specifically, 25 city pairs: 15 known (gray), 10 lost (black). Image
Using trade among known cities, they estimated the distance elasticity of trade (how sensitive trade btwn cities is to the distance btwn them), so they could estimate the prbblity of shipments from city i to city j given their distance

Thus, probable locations for 10 lost cities Image
These estimates largely concurred with those of historians, and since the historians' conjectures weren't used in the model, this suggests people should start pursuing those estimations. Image
In fact, this modeling exercise might help to decide among the different proposals made by historians. Image
But the authors weren't done. They supplemented their analysis with data from merchant itineraries. For example, consider this letter: Image
That letter was submitted to the Assyrian port authorities at Kaneš from emissaries in Wahšušana, and it described how missives would travel through two different routes:

Wahšušana→Ulama→Purušhaddum

W→Šalatuwar→P

But only Wahšušana, Ulama, and Šalatuwar are known cities.
Using every multistop itinerary, a model with just two constraints offers a lot of info. The constraints are simple:

1. When deciding itineraries, merchants like direct routes.
2. Caravans have to make stops to rest, replenish supplies, feed pack animals, and make side trades. Image
With estimates constrained to regions that are admissible given those constraints (dashed lines), the locations of the newly-identified lost cities are now more certain!

With the exception of Purušhaddum. Image
But how do we know this method works?

Easy! Just lose known cities and see if the method rediscovers them.

As the picture shows, the average distance between estimated and known city locations wasn't huge. In fact, estimates were a median of 33km away (mean = 40km). Image
This method also helps to identify the names of sites that people have continued living in, like Kırşehir Kalehöyük, which might have been located under where the Alaaddin Mosque and a high school were later built. Image
There are other interesting findings here, too.

Consider this: geography has deep and persistent impacts on the economy of the area, and cities tend to show up where there are "natural roads". Image
Ancient cities were estimated to be larger when the natural roads were better! Image
And, modern cities are larger when nearby ancient cities were estimated to be larger as well.

The deep geographic reasons for cities to crop up in certain locations are still powerful forces today! Image
And for the real nerds, Zipf's law looks to basically hold for ancient city populations. Image
There you have it: economists might have discovered the locations of ancient lost cities from the Bronze Age, and supported a number of other fun facts while they were at it.

Only time will tell if these discoveries end up being true 🤞
Link:

The model the authors used was the gravity model: the workhorse model of trade.

Just as all roads lead to Rome, many trade theorists have derived the gravity equation for trade: academic.oup.com/qje/article/13…
cepr.org/voxeu/columns/…
Image

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Crémieux

Crémieux Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @cremieuxrecueil

Aug 25
Is YouTube politically biased?

New research suggests the answer is "yes": YouTube leans left!

Step one was to create independent accounts and give them a political persona

Step two was collect the recommendations

Step three was to watch them and see where things went

🧵 Image
The first thing they did was look at "baseline recommendations"—the videos a new account would be recommend (a).

The biggest category was People & Blogs.

Politics was further down, and within it (b), recommendations were largely left-leaning and centrist. Image
Different personas were largely consistent in their initial recommendations during training

- The far left moved left
- The far right moved right
- The center became more centrist

Centrists and the right were shown more political content, left-leaners, more comedy. Image
Read 7 tweets
Aug 23
One of the best pieces every published in The Atlantic is this 97-year-old piece by "A Woman Resident in Russia".

In it, she described the chaos that resulted when Communists destroyed the institution of marriage.

Let's read about what happened when Soviets ruined marriage🧵
"To clear the family out of the accumulated dust of the ages we had to give it a good shakeup, and we did."

Russia boasted it had no illegitimate children. True. They eliminated the "illegitimate" category. Image
"Men took to changing wives" and 300,000 abandoned children resulted. Image
Read 17 tweets
Aug 12
This is what peak performance looks like

on various Wechsler IQ subtests, by age.

The medians here indicate the ages where the median person reaches their highest performance level in various cognitive tasks.

Here are some brief notes on cognitive aging. Image
For many tasks, performance declines kick in early and they happen gracefully across the adult lifespan. Image
Sometimes this sort of data is misleading, because age impacts sampling, so there do appear to be differences between longitudinal and cross-sectional results.

Though the differences aren't too large, they can help to explain old-age variance increases. Image
Read 8 tweets
Aug 3
Let's discuss the gender wage gap.

You may have heard that most of the gap is due to the "child penalty" women face after they give birth. Across the developed world, that is increasingly true.

Let's look at this with some great Austrian data.

First: the gap since the 1950s. Image
When mothers give birth, they suffer a large penalty to earnings and employment.

Some have suggested a way to reduce this penalty is to expand paid parental leave. If there's longer parental leave, what happens?

Well, not much. If anything, leave policies may worsen penalties. Image
What about when parental leave policies are changed from very little (2 months) to something substantial (12 months)?

Again, the effect is not very large relative to the initial child penalty itself and it may be harmful because it cuts into female labor supply. Image
Read 10 tweets
Jul 21
What's CNN talking about? I went to the source to find out.

This is the finding their story refers to: https://t.co/wG82dkFPJN
Image
The research was little more than correlating metropolitan statistical area (MSA) level variables with the # of mass shooting events (MSEs) that took place in them.

Here's their correlation matrix. What stands out?

Note: population size only correlated at 0.45 with # of MSEs. Image
The analysis culminated in a linear regression.

After their variable selection was completed, they were left with three predictors: Black percentage of MSA, an index of segregation, and the income Gini (inequality).

Only the Black percentage predicted the number of MSEs. Image
Read 5 tweets
Jul 18
Is American society irredeemably racist against Blacks?

One way to test this is to check if businesses are harmed when their owners are identified as Black people. If society is racist, they should lose clientele.

A new preprint used Yelp's Black-owned business label to test: Image
Businesses labeled as Black-owned received 36% more page views, 52% more website views, 71% more calls, 34% more orders, and 36% more revenue.

This effect was observed for

- Businesses that claimed they were Black-owned
- Businesses where reviewers noted they were Black-owned Image
This wasn't observed when the business was Black-owned but didn't identify as such: the effect was not driven by something that impacted all Black businesses regardless of label.

Comparing early and late adopters showed an effect on both. Time-varying effects aren't on the menu. Image
Read 10 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(