Results for “zmp ”
73 found

The relevance of ZMP and near-ZMP workers

From the St. Louis Fed:

Based on patterns of employment transitions, we identify three different types of workers in the US labor market: α’s β’s and γ’s. Workers of type α make up over half of all workers, are most likely to remain on the same job for more than 2 years and, when they become unemployed, typically find a new job within 1 quarter. Workers of type γ comprise less than one-fifth of workers, have a low probability of staying on the same job for more than 2 years and, when they become unemployed, face a high probability of remaining jobless for more than 1 year. Workers of type β are in between αs and γ’s. The earnings losses caused by displacement are relatively small and transitory for α-workers, while they are large and persistent for γ-workers. During the Great Recession, excess unemployment for α-workers rose by little and was reabsorbed quickly; unemployment for γ-workers rose by 20 percentage points and was not reabsorbed 4 years after its peak. We use a search-theoretic model of the labor market to rationalize the different patterns of employment transitions across types. The model naturally explains both the variation in the consequences of job displacement across types, and the variation in the dynamics of unemployment during the Great Recession. Our view is that several puzzling micro and macro phenomena about the labor market are driven by the behavior of the small group of γ-workers.

Here is the NBER link.  The authors are Victoria Gregory, Guido Menzio, and David Wiczer.  The ZMP concept remains maligned and misrepresented, sometimes caricatured as a one-blade theory or as demand denialism, so I am happy to see this new evidence capturing the original intuition.

Via David Sinsky.

Those old (ZMP) service sector jobs

Austrian hermit edition:

An Austrian town is looking to employ someone to live in a hermitage that has no heating nor running water in what appears to be one of the worst jobs in the world.

Saalfelden in the state of Salzburg is looking for a candidate to move into a 350-year-old building, that is built into a cliff-face, to meet and greet Christian pilgrims who frequent the site’s chapel for prayer and self reflection.

Local resident Alois Moser and Saalfelden’s mayor Erich Rohrmoser, will select the new hermit and have told a radio station the traits they are looking for in their new employee.

Moser told state broadcaster ORF that they want ‘a self-sufficient person who is at peace with their self, and willing to talk to people, but not to impose’.

He also said the successful candidate should have a Christian outlook and be ready to greet visiting pilgrims and locals who make their way up the steep cliff face to the house.

The chosen candidate will be selected more on the basis of personality than training and professional experience but will need to be prepared to live without a computer and television, job specifications say.

The parish have stressed the position, which runs from April to November each year, is unpaid despite the sacrifices one would have to make when accepting the post.

Although it appears to be an unattractive proposition the role was has been widely coveted in the past.

Here is the full story, via the excellent Mark Thorson.

Hysteresis for legally protected ZMP elephants in Myanmar

“Unemployment is really hard to handle,” said U Saw Tha Pyae, whose six elephants have been jobless for the past two years. “There is no logging because there are no more trees.”

Myanmar’s leading elephant expert, Daw Khyne U Mar, estimates that there are now 2,500 jobless elephants, many of them here in the jungles of eastern Myanmar, about two and a half hours from the Thai border. That number would put the elephant unemployment rate at around 40 percent, compared with about 4 percent for Myanmar’s people.

“Most of these elephants don’t know what to do,” Ms. Khyne U Mar said. “The owners have a great burden. It’s expensive to keep them.”

Adult elephants, which each weigh about 10,000 pounds, eat 400 pounds of food a day and, other than circuses and logging, have limited job opportunities.

Logging is arduous. But elephant experts say hard work is one reason Myanmar’s elephants have remained relatively healthy. A 2008 study calculated that Myanmar’s logging elephants, which have a strict regimen of work and play, live twice as long as elephants kept in European zoos, a median age of 42 years compared with 19 for zoo animals.

Here is the full NYT story, via Michelle Dawson and Otis Reid.  The story is interesting throughout, you will note the elephants had strong labor law protections:

The military governments adhered to a strict labor code for elephants drawn up in British colonial times: eight-hour work days and five-day weeks, retirement at 55, mandatory maternity leave, summer vacations and good medical care. There are still elephant maternity camps and retirement communities run by the government. In a country where the most basic social protections were absent during the years of dictatorship, elephant labor laws were largely respected.

Interesting throughout — I wonder what is the natural rate of unemployment for elephants in a freer labor market…?

ZMP workers in Japan, boredom and banishment rooms

We have already covered this topic, but the NYT has a new and interesting article on it.  Excerpt:

Shusaku Tani is employed at the Sony plant here, but he doesn’t really work.

For more than two years, he has come to a small room, taken a seat and then passed the time reading newspapers, browsing the Web and poring over engineering textbooks from his college days. He files a report on his activities at the end of each day.

Sony, Mr. Tani’s employer of 32 years, consigned him to this room because they can’t get rid of him. Sony had eliminated his position at the Sony Sendai Technology Center, which in better times produced magnetic tapes for videos and cassettes. But Mr. Tani, 51, refused to take an early retirement offer from Sony in late 2010 — his prerogative under Japanese labor law.

So there he sits in what is called the “chasing-out room.” He spends his days there, with about 40 other holdouts.

For the pointer I thank Alex.

Loose, suggestive survey evidence for ZMP workers

Nearly one in five hates work so much they sabotage their employers.

If you thought that Americans who kept their jobs during the Great Recession were glad to be working, you would be dead wrong. According to a Gallup.com report, 70 percent of American workers are “emotionally disconnected” at work, with nearly one in five employees “actively disengaged.”

Not surprisingly, young men are the single biggest problem, and another interesting result is that Red state workers appear to be more positively engaged with their jobs.  Of course here we are surveying those who have jobs, not those who have lost their jobs, perhaps a more problematic pool.

The article is here, hat tip goes to @EliDourado.

ZMP workers and morale externalities

On Twitter, Bryan Caplan asks me to clarify why zero marginal product workers do not clash with the notion of comparative advantage.  The point is simple: some workers destroy a lot of morale in the workplace and so the employer doesn’t want them around at any price.

Most of us buy into “morale costs” as a key reason behind sticky nominal wages.  If your wage is too low, your morale falls, you produce less and so the wage cut isn’t worth it.  Well, what else besides low wages makes people unhappy in their workplace?  Very often the quality of co-workers is a major source of unhappiness; just listen to people complain about their jobs and write down how many times they are mentioning co-workers and bosses.  (I do not exempt academics here.)  A “rotten apple” can make many people less productive, and you can think of that as a simple extension of sticky nominal wage theory, namely that installing or tolerating a “pain in the ass” is another way of cutting wages for the good workers, they don’t like it, it lowers their productivity, and thus it is not worth tolerating the rotten apple if said apple can be identified and dismissed.

There is no particular reason to think that ZMP workers are especially stupid or in some way “disabled.”  If anything it may require some special “skills” to get under people’s skins so much.  (Of course there are some individuals who, say for health reasons, cannot produce anything at all but they are not usually in or “near” the active labor force.)  To draw a simple analogy, the lowest-publishing members of academic departments are rarely those who make the most trouble.

To the extent production becomes more complex and more profitable, ZMP workers are more of a problem because there is more value they can destroy.  The relevance of these morale costs also varies cyclically, in standard fashion.  A company is more likely to tolerate a “pain” in boom times when the labor itself has a higher return.

Note also the “expected ZMP worker.”  Let’s say that some ZMPers destroy a lot of value (that makes them NMPers).  You pay 40k a year and you end up with a worker who destroys 80k a year, so the firm is out 120k net.  Bosses really want to avoid these employees.  Furthermore let’s say that a plague of these destructive workers hangs out in the pool of the long-term unemployed, but they constitute only 1/3 of that pool, though they cannot easily be distinguished at the interview stage.  1/3 a chance of getting a minus 120k return will scare a lot of employers away from the entire pool.  The employers are behaving rationally, yet it can be said that “there is nothing wrong with most of the long-term unemployed.”  And still they can’t get jobs and still nominally eroding the level of wages won’t help them.

In the perceived, statistical, expected value sense, the lot of these workers is that of ZMPers.

One policy implication is that it should become legally easier to offer a very negative recommendation for a former employee.  That makes it easier to break the pooling equilibrium.  There also are equilibria where it makes sense to “buy the NMPers out” of workforce participation altogether, pay them to emigrate, etc., although such policies may be difficult to implement.  Oddly, if work disincentives target just the right group of people — the NMPers — (again, hard to do, but worth considering the logic of the argument) those disincentives can raise the employment/population ratio, at least in theory.

Addendum: Garett Jones offers yet a differing option for understanding ZMP theories.

Is Jesus cheaper than a buffalo? (ZMP gods)

It would seem:

At upwards of US$500, the cost of slaughtering a buffalo to revive a relative condemned to ill-health by the spirits has pushed the Jarai indigenous minority residents of Somkul village in Ratanakkiri to a more affordable religious option: Christianity.

In the village in O’Yadav district’s Som Thom commune, about 80 per cent of the community have given up on spirits and ghosts in favour of Sunday sermons and modern medicine.

Sev Chel, 38, said she made the switch because when she used to get sick, it could cost her hundreds of dollars to appease the gods with a sacrificial package that might include a cow or buffalo, a chicken, bananas, incense and rice wine.

“So if I sold that buffalo and took the money to pay for medicine, it is about 30,000 riel to 40,000 riel [for them to] get better, so we are strong believers in Jesus,” she said. “If I did not believe in Jesus, maybe at this time I would still be poor and not know anything besides my community.”

A small wooden church has emerged in Somkul commune where the word of Jesus Christ, or “Yesu Yang” to the Jarai, is preached instead of the mixture of animism and Theravada Buddhism they have traditionally followed.

Kralan Don, 60, said he and the four other members of his family began attending the church about five years ago because of their poor standard of living.

“We believe in Christianity because we are poor; we don’t have money to buy buffaloes, chickens and pigs to pray for the spirits of the god of land or the god of water when those gods make us get sick,” he said.

Klan Ly, 56, said she had completely abandoned her fears of black magic after making the conversion.

For the pointer I thank WK.

More on countercyclical restructuring and ZMP

I have been reading some new results by David Berger (who by the way seems to be an excellent job market candidate, from Yale), here is one bit:

Finally, I discuss what changed in the 1980s. I provide suggestive evidence that the structural change was the result of a large decline in union power in the 1980s. This led to a sharp reduction in the restrictions …firms faced when adjusting employment, which lowered fi…ring costs and made it easier for fi…rms to …fire selectively. I test this hypothesis using variation from U.S. states and industries. I show that states and industries that had larger percentage declines in union coverage rates had larger declines in the cyclicality of ALP [average labor productivity], consistent with my hypothesis. The union power hypothesis is also consistent with evidence from detailed industry studies. A recent paper by Dunne, Klimek and Schmitz (2010) shows that there were dramatic changes in the structure of union contracts in the U.S. cement industry in the early-1980s, which gave establishments much more scope to …fire workers based on performance rather than tenure. They show that immediately after these workplace restrictions were lifted, ALP and TFP in the industry increased signifi…cantly.

This paper is a goldmine of information on the cyclical behavior of productivity and how it has changed in recent times.  Basically, we’re now at the point where a recession means they dump the bad workers and we subsequently have a jobless recovery.

While we’re on the broader topic, I’d like to make a few points about the recent ZMP (“zero marginal productivity“) debates between Kling, Caplan, Henderson, Boudreaux, and Eli Dourado:

1. There has been plenty of evidence for “labor hoarding”; oddly, once the ZMP workers start actually being fired, the concept suddenly becomes controversial.  The simple insight is that firms don’t hoard so much labor any more.

2. The ZMP worker concept can overlap with the sticky wage concept.  If a person is a prima donna who will sabotage production unless paid 120k a year and given the best office, that person has a sticky wage.  That same person also can be ZMP.  Very often the concept is about bad morale, not literal and universal incompetence; the ZMPers are often quite effective at sabotage!

3. No one thinks a worker is ZMP in all possible world-states.

4. The high and rising premium for good managers is another lens for viewing the phenomenon.  More workers could usefully be employed if we had more skilled supervisors, and thus the shadow value for a skilled supervisor is especially high.

5. Virtually everyone believes in the concept, although opinions differ as to how many workers it covers.  How about the people who are classified as having given up the search for work altogether?  There’s quite a few of them.  Put aside the blame question and the moralizing, can’t at least a few of these people — who aren’t even looking to work — be considered ZMP?

In any case, Berger’s concerns are more empirical and more concrete than some of the issues in those debates.  At the first link you also can find some very interesting papers, by Berger, on the cyclical behavior of price stickiness.  The observed data — surprise, surprise — are quite inconsistent with standard models.

The ZMP idea is gaining wider currency

… the gap between where unemployment stands now, at 9.1%, and full employment may not be as wide as it appears. But it also means more expansive monetary policy won’t be as effective in curing what ails the labor market, Andreas Hornstein, Thomas A. Lubik and Jessie Romero argue in a new paper from the Federal Reserve Bank of Richmond. “After a long period of unemployment, affected workers may become effectively unemployable,” the paper states. “If a large portion of long-term unemployed workers now finds it difficult to transition to employment, this suggests that the natural rate of unemployment may have increased.”

Here is more.  The paper itself has plenty of hypothesis-specific evidence.  For the pointer I thank David. M. Wessel.

A simple model of unemployment, wage stickiness and ZMP

Following up on yesterday’s discussion of wage stickiness for the unemployed and the employed (Tyler, Alex).

Imagine a farmer whose farm produces 100 bushels of wheat. He hires 10 workers to bring in the wheat, paying each of them 9 bushels. Thus, each worker carries 10 bushels, the wage is 9, the wage bill is 90, and the farmer earns 10.

Now suppose that due to climate change or a swarm of locusts the farm only produces 90 bushels of wheat. If wages were fully flexible then an equilibrium exists in which each worker is paid a wage of 8 leaving the farmer with 10 bushels as before. The farmer doesn’t want to reduce everyone’s wages, however, because that will reduce morale so he fires one worker leaving nine. Each worker now brings in 10 bushels, as before, and is paid a wage of 9, for a total wage bill of 81 leaving the farmer with 9 bushels. The unemployment rate is 10%.

The unemployed worker doesn’t want to be unemployed and offers to work for less, a lot less, say 5 bushels. Even at the lower wage, however, the farmer doesn’t want to hire the worker because the worker doesn’t generate enough additional output to justify even a low wage. In fact, in this scenario the worker has ZMP.

The best the farmer can do in response to the lower wage offer by the unemployed worker is to fire an employed worker and hire the unemployed worker at the lower wage. Eventually this will restore equilibrium but it takes time to cycle through enough firings and hirings to reach full employment. Note also that in this model the farmer only has a weak incentive to do this since in the equilibrium with 10% unemployment he earns 9, almost as much as before.  As an aside, also note that in my model the unemployed workers are simply unlucky (as I argued earlier). If they were to switch places with the employed, productivity would be just as high. The unemployed worker has ZMP but is not a ZMP worker.

Since the driving shock that lowers productivity in this model is a real factor (weather, locusts), this is a real business cycle model . That raises a very interesting point. The most that wage flexibility can do in this model is to restore full employment; wage flexibility cannot restore full output. Thus, the workers in this model have a very good reason to dislike wage flexibility. In the equilibrium in which wages fall the unemployed worker is better off by a lot but the 9 employed workers are all worse off than in the unemployment equilibrium.  In contrast, in a Keynesian model wage flexibility can restore full output not just full employment. Thus, and somewhat surprisingly, it’s easier to justify wage stickiness in an RBC model than in a Keynesian model since the gains from wage flexibility are so much higher in the latter!

Even in a Keynesian model along the lines of the Sweeney/Krugman babysitter model it will still be the case that lower wages by the unemployed don’t get you far enough to restore equilibrium–although as noted, we will need a coordination failure story in the Keynesian model since in principle everyone would be better off in that model with wage flexibility.

ZMP v. Sticky Wages

I find myself in the unusual position of being closer to Paul Krugman (and Scott Sumner, less surprising) than Tyler on the question of Zero Marginal Product workers.

The ZMP hypothesis is too close to a rejection of comparative advantage for my tastes. The term ZMP also suggests that the problem is the productivity of the unemployed when the actual problem is with the economy more generally (a version of the fundamental attribution error).

To see the latter point note that even within the categories of workers with the highest unemployment rates (say males without a high school degree) usually a large majority of these workers are employed. Within the same category are the unemployed so different from the employed? I don't think so. One reason employed workers are still fearful is that they see the unemployed and think, "there but for the grace of God, go I." The employed are right to be fearful, being unemployed today has less to do with personal characteristics than a bad economy and bad luck (including the luck of being in a declining sector, I do not reject structural unemployment).

To see the importance of sticky wages consider the following thought experiment: Imagine randomly switching an unemployed worker for a measurably similar employed worker but at say a 15% lower wage. Holding morale and other such factors constant, do you think that employers would refuse such a switch? Tyler says yes. I say no. If wages were less sticky the unemployed would be find employment

By the way, the problem of sticky wages is often misunderstood. The big problem is not that the wages of unemployed workers are sticky, the big problem is that the wages of employed workers are sticky. This is why stories of the unemployed being reemployed at far lower wages are entirely compatible with the macroeconomics of sticky wages.

Although I don't like the term ZMP workers, I do think Tyler is pointing to a very important issue: firms used to engage in labor hoarding during a recession and now firms are labor disgorging. As a result, labor productivity has changed from being mildly pro-cyclical to counter-cyclical. Why? I can think of four reasons. 1) The recession is structural, as Tyler has argued. If firms don't expect to ever hire workers back then they will fire them now. 2) Firms expect the recession to be long – this is consistent with a Scott Sumner AD view among others. 3) In a balance-sheet recession firms are desperate to reduce debt and they can't borrow to labor hoard. 4) Labor markets have become more competitive. Firms used to be monopsonists and so they would hold on to workers longer since W<MRP. Now that cushion is gone and firms fire more readily. What other predictions would this model make?

It would be interesting to know why Paul Krugman thinks productivity has become counter-cyclical but I believe he has yet to address this important topic.

Addendum: Paul Krugman gives his answer and The Economist offers a review with many links.

Response from Devin Pope, on religious attendance

All of this is from Devin Pope, in response to Lyman Stone (and myself).  Here was my original post on the paper, concerning the degree of religious attendance.  I won’t double indent, but here is Devin and Devin alone:

“I’m super grateful for Lyman’s willingness to engage with my recent research on measuring religious worship attendance using cellphone data. Lyman and I have been able to go back and forth a bit on Twitter/X, but I thought it might be useful to send a review of this to you Tyler.

For starters, I appreciate that Lyman and I agree on a lot of stuff about the paper. He has been very kind by sharing that he agrees that many parts of my paper are interesting and “very cool work”. Where we disagree is about whether the cellphone data can provide a useful estimate for population-wide estimates of worship attendance. Specifically, Lyman’s concerns are that due to people leaving their cellphones at home when they go to church and due to questionable cellphone coverage that might exist within church buildings, the results could be super biased. He sums up his critiques well with the following: “Exactly how big these effects are is anyone’s guess. But I really think you should consider just saying, `This isn’t a valid way of estimating aggregate religious behavior. But it’s a great way to look at some unique patterns of behavior among the religious!’ Don’t make a bold claim with a bunch of caveats, just make the claim you actually have really great data for!” This a very reasonable critique and I’m grateful for him making it.

My first response to Lyman’s concerns is: we agree! I try to be super careful in how the paper is written to discuss these exact concerns that Lyman raises. Even the last line of the abstract indicates, “While cellphone data has limitations, this paper provides a unique way of understanding worship attendance and its correlates.”

Here is where we differ though… To my knowledge, there have been just 2 approaches used to estimate the number of Americans who go to worship services weekly (say, 75% of the time): Surveys that ask people “do you go to religious services weekly?” and my paper using cell phone data. It is a very hard question to answer. Time-use surveys, counting cars in parking lots, and other methods don’t allow for estimating the number of people who are frequent religious attenders because of their repeated cross-sectional designs.

There are definitely limitations with the cellphone data (I’ve had about 100 people tell me that I’m not doing a good job tracking Orthodox Jews!). I know that these issues exist. But survey data has its own issues. Social desirability bias and other issues could lead to widely incorrect estimates of the number of people who frequently attend services (and surveys are going to have a hard time sampling Orthodox Jews too!). Given the difficulty of measuring some of these questions, I think that a new method – even with limitations – is useful.

At the end of the day, one has to think hard about the degree of bias of various methods and think about how much weight to put on each. The degree of bias is also where Lyman and I disagree. In my paper, I document that the cell phone data do not do a great job of predicting the number of people who go to NBA basketball games and the number of people who go to AMC theaters. I both undercount overall attendance and don’t predict differences across NBA stadiums well at all.

The reason why Lyman is able to complain about those results so vociferously is because I’m trying to be super honest and include those results in the paper! And I don’t try to hide them. On page 2 of the paper I note: “Not all data checks are perfect. For example, I undercount the number of people who go to an AMC theater or attend NBA basketball games and provide a discussion of these mispredictions.”

There are many other data checks that look really quite good. For example, here is a Table from the paper that compares cellphone visits as predicted by the cellphone data with actual visits using data from various companies:

 

The cellphone predictions in the above table tend to do a decent job predicting many population-wide estimates of attendance to a variety of locations. The one large miss is AMC theaters where we undercount attendance by 30%. Now about half of that undercount is because the data are missing a chunk of AMC theaters (this is not due to a cellphone pinging issue, but due to a data construction issue). But even if one were to make that correction, we undercount theater attendance by 15%.

Lyman argues that one should be especially worried about undercounting worship attendance due to people leaving their phones at home. I agree that this is a huge concern that is specific to religious worship and doesn’t apply in the same way for trips to Walmart. I run and report results from a Prolific Survey (N=5k) that finds that 87% of people who attend worship regularly indicate that they “always” or “almost always” take their phone to services with them. So definitely some people are leaving their phones at home, but this survey can help guide our thinking about how large that bias might be. Are Prolific participants representative of the US as a whole? Certainly not. There is additional bias that one should think about in that regard.

Overall, my view is that estimating population-wide estimates for how many people attend religious services weekly is super hard and cellphone data has limitations. My view is that other methods (surveys) also have substantial limitations. I do not think the cellphone data limitations are as large as Lyman thinks they are and stand by the last line of the abstract that once again states, “While cellphone data has limitations, this paper provides a unique way of understanding worship attendance and its correlates.”

All of that was Devin Pope!

EconEats — AI restaurant recommendations

From Josh Knox:

The search tool I’ve always wanted – I trained a custom GPT to recommend restaurants based on the rules from [Tyler Cowen’s] An Economist Gets Lunch.

https://chat.openai.com/g/g-5uQtkCDiA-econeats

It’s sort of a retroactive EconGoat project:)

I wrote about the experience on my blog.

https://iamjoshknox.com/2023/12/06/econeats-an-ai-dining-guide/