Data

Economic Nostalgia: 1890s Edition

Jeremy Horpedahl2 Comments

You see a lot of nostalgia for the recent past. People pining for the simpler life of the 1950s, or claims that wages have stagnated since the late 1970s or early 1980s. I’ve tried to take these arguments seriously and respond to them, such as in a paper I wrote with Scott Winship and summarized in a blog post last June. But occasionally, you find really weird economic nostalgia, like for the 1890s. Yes, the 1890s, not the 1990s.

Here’s one example: a cartoon shared on social media of workers being oppressed in the 1890s, with the caption “the problem has only gotten worse.” That post received 2 million views on Twitter, possibly because many people are criticizing it, but it also has a lot of retweets and likes.

If it was just one semi-viral social media post from an anonymous Twitter account, we could easily dismiss it. But 1890s economic nostalgia has been coming from another important place lately: President Elect Trump. Of course he is nostalgic for the policies of the 1890s. But on occasion, Trump will say things like “Go back and look at the 1890’s, 1880’s with McKinley and you take a look at tariffs, that was when we were at our richest” (emphasis added).

Really, our richest in the 1890s? Can this be true? Are the anonymous socialist Twitter accounts correct? Let’s look at the data. But the answer probably won’t surprise you: your intuition is correct, we are much better off today than the 1890s, in almost every way of looking at it economically.

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The Mythology of Rice and Beans

Zachary Bartsch3 Comments

I’ve written about proteins twice before. Once concerning protein content generally and then another concerning amino acid content of animal proteins. The reason that I stuck to animal proteins initially was because I held a common and false belief: Singular vegetarian foods aren’t complete proteins. The meat-eaters gotchya claim is that meats contain complete proteins. After all, we’ve heard a million times that beans and grains are often eaten together because they form a complete protein. The native North Americans? Corn and beans. Subcontinent Indians? Rice and Lentils or chickpeas. Japan? Rice and soy. Choose your poor or vegetarian population in the world, and they combine beans and grains. We’ve always been told that it’s because the combination constitutes a ‘complete protein’.

But you know what else constitutes a complete protein? Any of those foods all by themselves. What the heck. I haven’t been lied to. But I’ve certainly been misled. Let me briefly tell you my research journey. My recommended daily intake (RDI) are from the World Health Organization and the amino acid data is from the US Department of Agriculture. Prices are harder to pin down in a representative way, but I cite those too.  

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House Prices and Quality: 1971 vs 2023

Jeremy Horpedahl12 Comments

Last week I did a comparison of “time prices” for several goods and services in 1971 compared with 2024. For almost all goods and services, it took fewer hours of work in 2023 to purchase them. In some cases, huge increases in affordability; air travel is 79% cheaper and milk is 59% cheaper, in terms of how much time an average worker needs to labor to pay for them.

There was one major exception though: housing. Especially the cost of buying a new home. Just using the median sale price of a home, the cost (in terms of hours of work) roughly doubled between 1971 and 2024. That’s not good!

Many who commented on the post mentioned that houses are much bigger today, and I noted that in the post but still claimed this is a worrying trend: “since 1971 you can’t really argue the quality improvements make up for the increase. Yes, houses are much bigger (about double in size), but that’s not clearly driven by consumer demand (more so by zoning and other laws). The 1971 house also had indoor plumbing (but maybe not air conditioning).”

Furthermore, housing is the largest expense for most families, both today and in 1971. In the early 1970s it was 30.8% of consumer spending, and in 2023 it was slightly higher at 32.9%. Given all this, it is worth investigating further.

First, let’s consider the size of a typical house. For most of the 1971 data, I will use this HUD report on new single-family homes. And I will use the similar Characteristics of New Housing report for 2023 (the latest year available) to compare.

Are houses bigger today? Yes, but not nearly enough to account for the decreasing affordability I showed in the previous post. In 1971, the median new home had 1,400 square feet of floor space. In 2023, it was 2,286. That’s a big increase (over 60%), but let’s now do the time-price affordability calculation, which I show in the table below.

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The Price of a Complete [Animal] Protein

Zachary Bartsch2 Comments

I wrote about the protein content of different foods previously. I summarized how much beef versus pea and wheat flour one would need to eat in order to consume the recommended daily intake (RDI) of ‘complete proteins’ – foods that contain all of the essential amino acids that compose protein. These amino acids are called ‘essential’ because, unlike the conditionally essential or non-essential amino acids, your body can’t produce them from other inputs. Here, I want to expand more on complete proteins when eating on a budget.

Step 1: What We Need

To start, there are nine essential amino acids with hard to remember names for non-specialists, so I’ll just use the abbreviations (H, I, L, K, M, F, T, W, V). The presence of all nine essential amino acids is what makes a protein complete. But, having some of each protein is not the same as having enough of each protein. Here, I’ll use the World Health Organization’s (WHO) guidelines for essential amino acid RDI for a 70kg person. See the table below.

Step 2: What We Need to Eat

What foods are considered ‘complete proteins’? There are many, but I will focus on a few animal sources: Eggs, Pork Chops, Ground Beef, Chicken, & Tuna. Non-animal proteins will have to wait for another time. Below are the essential amino acid content per 100 grams expressed as a percent of the RDI for each amino acid. What does that mean? That means, for example, that eating 100 grams of egg provides 85% of the RDI for M, but only 37% of the RDI for H.

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“Time Prices” Today Compared With 1924 and 1971

Jeremy Horpedahl4 Comments

I’ve written before on this blog about “time prices”: the amount of time it takes at a particular wage to buy a specific product. Time prices are especially useful for making historical comparisons of the real price of a good or service. Rather than adjusting historical prices for inflation (which only tells you whether they have increased faster or slower than average prices), time prices give you a real comparison of whether a good has become more or less affordable.

Antony Davies recently did a 100-year comparison of time prices for an average worker in the US. He compared prices in 1924 for several common food items, gasoline, electricity, movie tickets, airline tickets, an automobile, and several measures of housing costs to the best comparable thing in 2024. This following table shows his results:

You will notice a few things here. For the median worker, most things are much more affordable in 2024. Some things are dramatically so! For many items, the median worker in 2024 is similar to someone in the top 1% in 2024. Huge improvements in the standard living.

It will probably not surprise you that one major exception is housing. For renters, things are not obviously worse, but they are not better, depending on what size of city you are in (renters also have lower incomes, but that would be true in both time periods). However compared to the average home price, things look much worse in 2024. You can reasonably reply that the home is much larger and better quality in 2024 (as late as 1940, barely half of homes had complete indoor plumbing!), and this is all true. Still, an average house today is much better, but also much less affordable.

Despite the high cost of housing, the average worker today is much better off than 1924. It’s hard to deny it.

But what about more recent times? As a recurring meme likes to date it, what about since 1971?

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The Laboratory of the States: Regulatory Reform Edition

James BaileyLeave a comment

The US Federal government has been considering major reforms like the REINS Act, which would require Congressional approval of major regulations proposed by executive branch agencies, or bringing back the “two in one out” rule from the first Trump administration. What would these do?

Right now it’s hard to say much for sure. But similar reforms have already been implemented in the states; as usual, the states provide a laboratory for investigating how policies work and whether they deserve broader adoption. It’s especially valuable to inform the debate over reforms like the REINS act that are still being considered at the federal level. Even for federal reforms that have already happened, it can be easier to evaluate the state version, since states make better control groups for each other than other countries do for the US.

But so far we’ve mostly been ignoring our laboratory results from recent state regulatory reforms. For instance, Broughel, Baugus, and Bose (2022) released a dataset that could be used to evaluate state regulatory reforms, but it has only been cited 3 times. This is why I’m adding this to my ideas page as a good subject for future academic research.  Do state REINS or Red Tape Reduction Acts actually reduce either the stock or flow of regulation? If so, which types of regulations are affected, and does this have any effect on downstream measures like economic growth or new business formation?

Any research along these lines could help inform policy debates in the states, as well as for a new Presidential administration coming in with hopes of boosting economic growth through deregulation.

HT: Adam Millsap

National Survey of Drug Use and Health State-Level Data: Now Cleaned in Excel and Stata

James Bailey1 Comment

I offer a cleaned version of the state-level NSDUH in Stata .dta and Excel .xlsx formats here.

The NSDUH is mostly quite good as government datasets go- they share individual-level data in many formats and with the option to get most years together in a single file. But due to privacy concerns, the individual-level data doesn’t tell you what state people live in, which means it can’t be used to study things like state policy. SAMHSA does offer a state-level version of their data, but it is messy and only available in SAS format. So I offer the 1999-2019 state-level NSDUH Small Area Estimation Dataset in Stata .dta and Excel .xlsx formats here.

If you have Stata I recommend using that version, since the variables are labelled, making it much easier to understand what they represent.

This is the latest addition to my data page, where you can find cleaned/improved versions of other government datasets.

Post-Pandemic Lumber Market

Zachary Bartsch4 Comments

Remember that one time, back when we had a global pandemic, when interest rates fell really low and everyone was borrowing and refinancing? Good times. But they were also times of surging demand for durable goods, supply chain disruptions, and shortages. Specifically, the price of lumber surged by 54% between 2019 and 2022. There were stories of contractors who were unable to do their jobs at their typical prices. Some of them went without work. Others did much less work. Theft of precious lumber was in the news.

As we know, sudden price spikes often make the front pages and the social media rounds. But they peter out and the subsequent decline in prices hardly ever gets coverage in the same way. People used to talk about higher gasoline prices all the time, but never discussed with the same enthusiasm when prices fell. The same is true for lumber. We heard hysterical stories of record high prices, alleged shortages, and the sawmills that lacked adequate capacity to keep up with demand.

What’s going on in the lumber market?

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Did Inflation Make the Median Voter Poorer?

Jeremy Horpedahl4 Comments

A new essay by J. Zachary Mazlish answers the title question in the affirmative: yes, inflation made the median voter poorer. The post is data-heavy, with lots of charts and different ways of slicing the data, which is great! But since I am called out by name (or rather, my evil twin, Jeremy Horpendahl), I want to respond specifically to the claim about my data, but also I’ll make a few broader points.

Here’s the Tweet of mine that he links to:

https://twitter.com/jmhorp/status/1854548669317455894

Regular readers will recognize the chart in that Tweet comes from an EWED post from April 2024. Mazlich says that my chart and others like it are “misleading for understanding the election because a) they compare wages now versus January 2020, rather than January 2021.”

Fair enough, but if you read my Tweet you will see that I am specifically responding to an NPR story which said, “if you look at the difference between what… groceries cost in 2019 and what it costs today, and what wages looked like in 2019 and today, the gap is really gigantic.” So, they are specifically using 2019 as a baseline in that story, and my chart specifically used that as the baseline too! That’s why I thought that chart was relevant.

It’s true, of course, that if you want to understand median voter sentiment about the Biden administration, you should probably start the data at the beginning of the Biden administration. But I was responding to the more general claim people make, that they are worse off than in 2019.

With that clarification out of the way, what does Mazlich’s broader post say?

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Protein, Protein Everywhere

Zachary Bartsch8 Comments

If you’ve ever been vegetarian or if you have ever spoken to a vegetarian about their diet, then you have probably heard or asked “How do you get enough protein?”.  While it’s important for health and economic achievement to get adequate protein, not too long after comes the questions about types and sources of protein. This question is relevant for vegetarians and vegans, but also people with meat allergies and people with religious dietary guidelines that prohibit meat always or seasonally. Let’s break it down.

Some omnivores are incredulous that vegetarianism can provide adequate protein or protein quality. But protein itself is relatively easy to get and any judgmental attitudes on both sides are mostly just vibes. Legumes and nuts tend to have a lot of protein. But relative to what?

The World Health Organization recommends that an 80-kilogram (176 lb) adult should get 66.4 grams of protein per day (0.83g per kg). That’s the protein content of about a 9oz of peanuts. Protein is super important and it’s luckily not that hard to get if you eat a variety of foods. Even if you’re trying to consume double the WHO recommended daily intake (RDI), it’s an easy feat.

Below is a table of some popular protein sources. The table includes the grams of protein per 100 grams of food, which makes the protein content a percent. The table also includes the number of grams needed in order to achieve the WHO protein RDI of 66.4 grams. The last column is for our American readers who need the serving to be in ounces.

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