Interpreting New DIDs

If you didn’t know already, the past five years has been a whirl-wind of new methods in the staggered Differences-in-differences (DID) literature – a popular method to try to tease out causal effects statistically. This post restates practical advice from Jonathan Roth.

The prior standard was to use Two-Way-Fixed-Effects (TWFE). This controlled for a lot of unobserved variation over individuals or groups and time. The fancier TWFE methods were interacted with the time relative to treatment. That allowed event studies and dynamic effects.

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Advice For Travelling With Children

My family regularly takes long trips up and down the east coast of the US. It takes us about 6 hours just to travel through Florida. We have several kids between the ages of 1 & 7 and we’ve got it down to a pretty good science. Here’s some great advice for travelling with children. A lot of it is OK advice if you cherry pick, but together their benefits compound.

1) Depart Early

It doesn’t matter if it’s a 3 hour trip or a two day trip. To us, ‘early’ means that our target departure time is 5 AM, but ‘early’ may mean something different for you and yours. Benefits include:

  • Kids may remain or resume sleeping for the first portion of the travel. That’s time that they are occupied.
  • Earlier arrival at your destination gives kids time to burn off some energy and adults time to decompress. For multi-day trips, we like to stop at a hotel that has a pool.

2) Carry-on Backpacks

Just as you would have a small personal item on an airplane, such as a purse, give each child a backpack that contains car-ride content (make sure that they put away one thing before beginning the next). Maybe ensure that each kid has a different color. This puts their stimulation in their own hands. The idea is not to avoid interacting with your kids. The idea is to help them take care of themselves. Here’s what to include:

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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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Self-Replicating Machines: A Practical Human Response

Currently, we have software that can write software. What about physical machines that can produce physical machines? Indeed, what about machines that can produce other machines without human direction?

First of all, machines-building machines (MBM) still require resources: energy, transportation, time, and other inputs. A well-programmed machine that self-replicates quickly can grow in number exponentially. But where would the machines get the resources that enable self-replication? They’d have to purchase them (or conquer the world sci-fi style). Where would a machine get the resources to make purchases of necessary inputs? The same place that everyone else gets them.

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