Prohibition Reversals

We have all heard of the prohibition era. Popularly, it refers to the period from 1920-1933 during which it was illegal to sell, transport, and import alcohol in the US. National prohibition was enacted by the 18th amendment and repealed by the 21st amendment. That’s the basic picture.

But did you know that there were state alcohol prohibitions prior to the national one? In fact, there were 3 major waves of state alcohol prohibitions. The first was in the 1850s, the 2nd was in the 1880s, and then the 3rd preceded the 18th amendment. The image below illustrates the number of states that had statewide dry policies. You can see the first two waves and then the tsunami just prior to 1920.

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Gari Melchers

Who’s your favorite artist? Warhol? Picasso? Van Gogh? Maybe someone much earlier, such as Michelangelo or Titian? Of course, there is something about the style or subjects that you enjoy. But something about the artist’s personal life might also matter to you. Personally, I’m a fan of Hieronymus Bosch, about whom we know little, and William Blake, who had some social and political opinions that would still be considered liberal even today.

Picasso, Dalle, and Warhol were all eccentric. Picasso had multiple girlfriends who didn’t get along, Dalle enjoyed exemplifying surrealism in his dress and behavior, and Warhol was a reclusive hoarder. Their eccentricity increases their allure and fosters an aura of mystique that they are privy to some unknown truths.

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Basic Immigration Logic

Economists overwhelmingly favor looser immigration controls. Allowing people to immigrate would improve the allocation of scarce labor and capital and it is a far cheaper way to aid poorer families than sending direct payments or trying to develop an entire country. Let’s cover some static analysis basics for migrating workers and their dependents.

Workers, Labor Markets, & Output Markets

There are two markets to consider: The new home country and the old home country. If workers leave the old country in search of the higher wages in the new country, then world employment remains unchanged. Employment obviously rises in the new country and falls in the old country. With identical laborers (a terrible assumption that’s the least charitable to immigration), wages in the new country fall and wages in the old country rise. This logic illustrates the cheap aid of which economists are fond.

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Competition and Racial Exclusion

There is a narrative about US history that goes like this: “Historical racism was really bad and limited opportunities for blacks. Blacks were not allowed to participate in a set of occupations and other civic life. The absence of blacks from typically higher income occupations reduced the number of competitors in those sectors. Not only did blacks have fewereconomic opportunities, the whites who were insulated from competition earned monopoly rents. Therefore, if blacks were excluded, the whites who were in exclusive sectors earned profits at the expense of blacks.”

The logic is neat. Are there any holes in it?Let’s see.

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Accidental Good Will

My wife makes this great chili recipe. She called me yesterday as I departed from work and asked me to grab some beer on the way home (it’s the secret ingredient in case you need to zhuzh up your version). So, I went to my local overpriced grocer. The options were dire. All the good 6-packs were way overpriced. The 12-packs, though a lower unit price, weren’t much better.

Luckily a ‘fine’ beer was on sale at an OK price ($17.49 for 12). Not what I wanted, but fine. I did self check-out and noticed that the price that I paid was not the sale price – by a healthy $2. A ‘fine’ beer at an ok price is one thing. But a ‘fine’ beer at a ‘great’ beer price is no bueno. After check-out, I made a b-line for the beer aisle in order to double check myself. Me making a mistake is often a good first approximation. But nuts – I was mischarged.

I took a photo of the ‘correct’ price and headed to the customer service desk.

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Intro to Textual Indices: Ngrams & Newspapers

There have been a lot of popular papers in the past decade or so that make use of textual analysis. A fun one is “The Mainstreaming of Marx” by Magness & Makovi. They use Google Ngram to analyze the popularity of people mentioned in books and determine when Karl Marx became popular.  “Measuring Economic Policy Uncertainty” by Baker, Bloom, & Davis is one of my favorites. They use set theory to detect terms in newspapers that denote economic policy uncertainty. In this post, I’m just going to describe practical differences between the two data sources and how the interpretations differ.

Ngram

Ngram measures takes a term and measures how popular that term is in its corpus of book text, which is about 6% of all books ever written (in English, anyway). Because popularity is expressed as a percent, we can make direct popularity level comparisons among words. For example: “Cafe” & “Coffee Shop”. In the figure below, we can see that the word “cafe” was more popular in books until very recently.

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Unpopular Grocery Opinions

You needn’t stop at stop signs in parking lots.

Road signs on private land are often not legally enforceable by the police. You can ignore right-of-way and most signage in a parking lot or a parking-lot-adjacent path. I’m not saying that signs don’t serve a useful function. The stop in front of a Target or Publix is there to help coordinate drivers and pedestrians. It’s mostly a prudential matter. If it’s crowded, then those signs act coordinate us where norms might differ. But, if it’s late and no one is around, then you can safely run all of the parking lot stop signs with impunity. Be careful, however. The police can’t get you. But if you harm someone or something, then you can still be liable for neglect in a civil suit. That’s because neglect is contextual and expectations matter. If people treat parking lot signs like there are real road signs, then flaunting them can be construed as neglect.

You Can Park in Handicap Spaces.

If you’re *really* anti-social, then you should look up your local or state handicap accessible parking rules. Usually, police do have the power to ticket vehicles lacking the proper disability tags. BUT, the handicap parking space must conform to specifications. Where I live, for example, there must be an minimum sized sign that stands completely above 5 feet high in order to clearly demark the space. Therefore, if you see a handicap spot that is only noted by asphalt paint, then you’re free to park there.

Return your Shopping Cart… Or Don’t

Nothing says that you must return your shopping cart to an outdoor, covered, or indoor corral. People say that they have strong feelings about this (it’s not clear to me that they actually do). I say it’s not a fruitful exhortation. Let’s consider multiple perspectives and set aside the issue of civil liability due to neglect that I outlined above.

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Supply & Demand, with Tables?

When I was a graduate student, I paid for my tuition by tutoring for the university athletics department. I tutored stat, math, micro, macro, excel, and finance. I tutored the same students each week, so I got to know them pretty well over the course of the semester. I also got to know their strengths and weaknesses. It was at this time that I realized most quantitative or even analytical ideas could be described in 4 potentially equivalent ways:

  1. Mathematically
  2. Using logic in English
  3. Graphically
  4. With a Table

In this post I want to share the Supply & Demand cheat-sheet that I use to help my students learn about the effects of supply and demand.

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Early or Late, Never On-Time

Say that you live in a metropolitan area and that everyone works downtown. If you leave early, then you get to work WAY early. If you leave late, then you get to work WAY late. What’s up with that? Let’s say that the closer people live to downtown, the proportionally deeper you work in downtown.

Odds are that you live somewhere in between super far away and somewhere super close. That means that when you arrive at work, there are people closer to and further from the city center also arriving at their jobs. They are your competition. Their mere existence adds congestion to the roads and slows your velocity. As you all make your way closer to the downtown area, the congestion increases and the velocity falls still further such that your slowest speed occurs as you approach work.

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Beware of Scatterplots

Scatterplots are a great investigatory tool. You can scatterplot raw data for two variables and, if the relationship is strong, then you can see the functional form that relates x and y (linear, polynomial, exponential, etc.). However, there are two data characteristics that are a scatterplots Achilles’ heel: large samples and discrete variables. And they create misleading scatterplots for the same reason.

Examine the below scatterplots for y vs the discrete variables x1, x2, & x3 on the interval [0,10]. What do you think slopes or correlations are?

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