The authors exploit changes in electricity costs in California AND variation in difficulty of pumping water to guess at the price elasticity of water. Cool! #NBERday
They find that a $10-acre-foot water tax would allow California to hit its water use sustainability targets and also cause the reallocation of 3.9 percent of California's total agricultural acreage. #NBERday
But here's the issue.
Some of that reallocation would be removing annual crops and planting *perennials* like tree nuts. NOT because tree nuts use less water per acre, but because tree nuts are *higher revenue per water gallon*
I feel like the authors misspecified their model somewhere, because an acre of rice or cotton uses TONS less water than an acre of almonds. #NBERday
Tree nuts on average use 2x to 3x as much water per acre as most annual crops, AND they cannot be allowed to die during drought, so they uniquely contribute to water stress during the most sensitive times. #NBERday
So when I saw this paper saying that a $10 acre-foot water fee would both *achieve* California's water goals *and also* lead to more perennial crops, I was perplexed. Those results *can* go together, but it's *weird*. #NBERday
So when we look at their model, we get this little nugget:
Which tells us they did not in fact meaningfully model agriculture in California. #NBERday
Folks, they made a model where each year a farmer chooses to grow either corn or almonds *and can change each year.*
In fact, crop-switching costs are high! Farmers tend to specialize to some extent, equipment is expensive, and of course *perennials* are *perennial*.
Y'all they included *vineyards* in their perennial crops. #NBERday
Vineyards do not just choose to stop being vineyards and instead grow rice for a few years then go back to growing grapes because water prices changed! #NBERday
Farm choices about what crops to plant are *extremely* state-dependent *especially* when you're talking about crops that have different productive lifespans, different crop insurance coverage re: drought, different ability to withstand drought-related stress, etc. #NBERday
Now I suspect that what we have actually learned is that higher water prices *really do* motivate more use of perennials, because they are higher revenue per water input, but that they also take more labor to harvest and maintain, so some land is fallowed. #NBERday
Weirdly enough we've seen the same switch happen in water-scarce central Asia in recent years! #NBERday
But this doesn't mean total water stress is reduced. #NBERday
This paper leveraged the quasi-random assignment of patients to surgical dates in China vs. daily pollution totals and found that having a surgery on a bad AQI day considerably increased the risk of death. #NBERday
Here's the graph. Effects are small because few people die post-surgery, but still pretty interesting! #NBERday
Staying on death...
Q: Do travel bans work?
A: If they're draconian enough, yes (examples here India, China, Kenya, some other developing countries) #NBERday nber.org/papers/w28699
Basically, they suggest that *short* travel bans do not do much of anything, *medium-term* travel bans (i.e. ~60-140 days) make COVID cases *worse*, but *long* travel bans (150 days+) are very effective. #NBERday
To beat COVID, you have to commit to LONG interventions. #NBERday
Now look those estimates are bad. Case rates are extremely unreliable.
But the mechanism is plausible: short interventions do little, medium-length interventions may actually create even more population churn, but long interventions create more localized habits. #NBERday
Speaking of death and habits...
Q: What happened when AUstralia banned teen drivers from carrying passengers between 11:00 PM and 5:00 AM?
And it's not because teens drove safer. They were less likely to appear even in crashes for which they were NOT at fault! It's that this reform simply led to teens driving *less*. #NBERday
These good habits persist for up to 3 years after a driver is no longer subject to the restrictions: Australia actually CREATED A NORM where young drivers learned not to drive late at night with passengers! #NBERday
So I'm just gonna put it out there that "it's illegal for teen drivers to carpool between 11 and 5 AM" actually seems like a really good policy we should just roll out everywhere. #NBERday
Let's talk about a different case of norms, youth, violent deaths, and habits.
Q: What leads young men to join violent militia groups?
This study is one in a family exploring violence in Congo using INCREDIBLE datasets of reconstructed violence history. I've tweeted about prior papers. This one is, like the others, truly remarkable in its research. #NBERday
They randomly identified a few hundred villages in North and South Kivu in eastern Congo, and interviewed a random subsample in each village of households. Each household interview TOOK AN ENTIRE DAY. They paid each respondent well above a day's wage. #NBERday
For a whole day a researcher would interview, discuss, tag along, observe, just generally get to know the person's life and story, and work through an extensive but intuitively-designed life history questionnaire. #NBERday
In this area, foreign militias (especially the folks who led the genocide in Rwanda then fled into Congo) have engaged in tons of looting and pillaging, so most victims of violent attacks were victimized by those groups. #NBERday
Being victimized by a foreign group (read: Rwandan genocidaires) increased the odds that a person would end up joining a Congolese militia group BUT ONLY if they were attacked while the official military was ABSENT. #NBERday
This.... is pretty fascinating. Basically, when people perceive that the state cannot protect them because they have been victimized by armed bands, they respond by joining *opposing* armed bands.
But it is SO RARE that researchers can actually "see" this process and measure it and understand it carefully! The team in the Congo is doing incredible work merging quantitative and qualitative research. #NBERday
Now to return to the original question, note that the *kind* of attack matters. Sexual violence is most predictive, and sexual violence *against a man's wife* even moreso. #NBERday
The effect of attacking a man's wife or sexual assault on anyone in his household is nearly *double* the effect of some other assault on his household. #NBERday
These effects are extremely robust. They go through tons of different controls, sub-specifications, robustness tests, validation checks... it's the real deal. #NBERday
The authors refer to this behavior as "parochial altruism," i.e. that people will respond to *community* threats but not wider threats; they show that effect sizes diminish when its some other family attacked or a neighboring village. #NBERday
i.e. if your wife is raped, you join a militia; if you hear about a woman raped in the neighboring village, maybe not so much.
Which speaks to the fact that human consciences and capacities have limits, of course. #NBERday
But more broadly, and speaking not professionally here but out of sympathy for the people being studied here, I think we laypeople can refer to what these Congolese men are doing as "being good and honorable husbands and fathers." #NBERday
Would it be better if they were more conscious of someone more distant violence and took proactive measures? Yes, sure.
But the paper shows these men aren't undermining state provision of security. They *only* mobilize when the state *cannot*. #NBERday
They aren't trying to build a rival state and protect the whole province, they're just doing their best to fill in the security gap the state can't manage. So not responding to attacks on other villages doesn't seem unreasonable. That's the state's job! #NBERday
Anyways. That's all I'm gonna cover today. Bunch of other cool papers about education and such! #NBERday
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They digitized millions of Wikipedia person-entries to create a "history of notable people." They show trends in the migration, gender ratio, industry background, geography, life expectancy, etc, of "notable people." ideas.repec.org/p/spo/wpecon/i…
So for example, here's the life of Erasmus:
Here's the history of notable people.
(It looks a lot like the history of population tbh)
This NYT article by @ShawnHubler says that demographers are not surprised by California's slow growth (true) but 1) quotes zero demographers and 2) cites zero sources on dat and 3) says domestic migration isn't a driver (false). nytimes.com/2021/04/26/us/…
why would you title-check demographers *in the headline* without talking to any demographers???
before you say "writers don't make the headlines," the article text mentions what demographers think or say a few times too
feel like if you say a class of people thinks something in a publication for which you have been paid or received some other material benefit that you should be contractually obligated to cite *somebody*
If people want to argue CPS is too powerful, out of control, and needs to be reigned in, I’m here for that: but that’s... uh... folks that’s not just not a liberal talking point that’s like super-duper social conservative red meat material right there.
Once you’re at “Calling CPS on someone is aiding and abetting kidnapping” you’re at like ultra-trad politics of the family. Not what the OP intends.
The Puerto Rico 2020 Census number is.... remarkable. The Census is saying they underestimated Puerto Rico's population by almost 100,000 people!
Their figure also makes an absolute hash of any of the population flows data we have for Puerto Rico.... egads.
By the way, Census' Demographic Analysis program indicated an estimated population of 332.6 million, range of 330.7-335.5. The true value at 331.4 is nearer the low range than the midpoint, so the US population figure should be seen as a slightly pessimistic indicator.
US deaths remain above normal levels, and are only very slowly inching towards normalcy. This is true even if you exclude Michigan's current outbreak from US totals.
Here's New York for example. The winter wasn't as bad as April, but was still very bad, and New York still hasn't returned to quite normal death rates.