Saturday, December 27, 2008

Employment Decline – Casey Mulligan Blames Inward Shift of Labor Supply

Believe it or not this explanation made it in print:

Because productivity has been rising — almost as much as the Douglas formula predicts — the decreased employment is explained more by reductions in the supply of labor (the willingness of people to work) and less by the demand for labor (the number of workers that employers need to hire). Why would some people have fewer incentives to take a job in 2008 than they did in 2006 and 2007 (and employers fewer incentives to create jobs)? I will tackle that question in my next post, but even without a specific answer we learn a lot about today’s recession from the conclusion that labor supply – not labor demand – should be blamed. First of all, it suggests that a fundamental solution to the recession would encourage labor supply (perhaps cutting personal income tax rates, so people can keep more of their wages), rather than tinker with demand.


Actually – Mulligan decides not to tell us what specifically induced people to reduce their offering of labor after all. The key item in his first post was referred to his next post? OK. But if there was some supply-side reason why workers decided to reduce their offerings of labor along an unchanged demand curve – wouldn’t that mean real wages would have gone up? Funny thing – Mulligan also fails to talk about this aspect of his bizarre explanation.

6 comments:

  1. It seems to me that economics is designed to always protect the owning class and to offer whatever explanation of events that will hold the great unwashed accountable for any undesired realities. But this dude has raised the bar considerably. I am not going to impugn his creativity or his ability to grasp the fundamentals offered up by his erstwhile mentors. It is autism on steroids. The sheer gall of this article makes it one for the archives.

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  2. That's called privilege -- an assertion of worthiness unsupported by actions.
    In the political sphere we fought a war against it a couple hundred years ago. It is time to do it again in the economic sphere. We need more democracy, not less.
    Start by understanding that a corporation is a community of workers within a larger community -- not property owned by speculators who bought a "share" -- that is the right to extract unearned increments.
    --ml

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  3. Judging by the comments at his NYT blog, Mulligan's argument isn't exactly persuasive.

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  4. Goes to show.

    "This author [Casey Mulligan] is among the top 5% authors according to these criteria:

    1. Average Rank Score
    2. Number of Works
    3. Number of Distinct Works
    4. Number of Distinct Works, Weighted by Simple Impact Factor
    5. Number of Distinct Works, Weighted by Recursive Impact Factor
    6. Number of Distinct Works, Weighted by Number of Authors
    7. Number of Distinct Works, Weighted by Number of Authors and Simple Impact Factors
    8. Number of Distinct Works, Weighted by Number of Authors and Recursive Impact Factors
    9. Number of Citations
    10. Number of Citations, Discounted by Citation Age
    11. Number of Citations, Weighted by Simple Impact Factor
    12. Number of Citations, Weighted by Simple Impact Factor, Discounted by Citation Age
    13. Number of Citations, Weighted by Recursive Impact Factor
    14. Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
    15. Number of Citations, Weighted by Number of Authors
    16. Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
    17. Number of Citations, Weighted by Number of Authors and Simple Impact Factors
    18. Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
    19. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors
    20. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
    21. h, where author has written h papers that have each been cited at least h times.
    22. Number of Registered Citing Authors
    23. Number of Registered Citing Authors, Weighted by Rank (Max. 1 per Author)
    24. Number of Journal Pages
    25. Number of Journal Pages, Weighted by Simple Impact Factor
    26. Number of Journal Pages, Weighted by Recursive Impact Factor
    27. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
    28. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors
    29. Number of Abstract Views in RePEc Services over the past 12 months
    30. Number of Downloads through RePEc Services over the past 12 months
    31. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
    32. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors
    33. Wu-Index"

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  5. I left a strong critique of his argument in the comments section of the article, and on his blog, here and here. I think these are good responses, and I encourage you to read them later, but first I'd like to go through the basics of this issue and some of the key arguments very clearly and carefully.

    Here is what I see as Mulligan's argument, based on his description of it in his New York Times article:

    1) If there is a drop in supply of workers (that is, for whatever reason, workers want to work less), then the firms will be short handed, and will have to work the remaining workers harder (less downtime, less sitting around waiting for something to do), and so worker productivity will go up. There will be more goods produced per worker.

    We have seen a recent rise in productivity, thus, there is strong evidence that the supply of workers is down, that is people want to work less (at least the way Mulligan wrote his New York Times article, he either intentionally or unintentionally -- and it looks like intentionally to me -- made it really sound like he thought this was strong evidence.)

    2) If, on the other hand, there is a drop in demand for companies products, and thus for workers to produce those products (people don't want to work less in this case; it's just many can't find jobs), then the firms will not be short handed. On the contrary, they will have more workers than they need, and so there will be more downtime, more sitting around waiting for something to do, and so worker productivity will go down. There will be less goods produced per worker.

    Because we have not seen a recent drop in productivity, instead it's risen, there is strong evidence that it's not the demand for products and workers that's down, rather it's the supply of workers that's down. That is, people want to work less.

    And in two previous severe recessions, the 1930's and early 1980's, we did see a drop in productivity, but in this recession we see a rise in productivity (um, what about all of the recessions besides the two Mulligan choose to mention?).

    So, that appears to be his argument. I think it's very weak because, for one, there are other very plausible ways productivity can go up in a recession without there being a decrease in workers desire to work. And for two, the other evidence and logic regarding recessions is overwhelmingly against Mulligan's hypothesis that in the current recession unemployment is due mostly to people's desire to work less (see Nobel Prize winning economist Paul Krugman's current book, "The Return of Depression Economics and the Crisis of 2008", for details). This is why the vast majority of top economists don't agree that a decrease in the supply of workers, the desire to work, is the primary reason for the recent high unemployment.

    In the previous comments I left on Mulligan's blog I gave several reasons why productivity could go up in a recession, but I'd like to go into one of those reasons in a little more detail:

    Consider again 1) and 2) above. We have a measuring period for unemployment and productivity, say a quarter, or a year. Now, in that, say, year, suppose there is a decrease in demand for products and thus workers (so it's not that workers want to work less). There will then be two major effects: Effect 1; Immediately, the workers have less to do and so there's more sitting around and less productivity. But, Effect 2: Eventually, some of the workers are let go, and this increases productivity, partly because now there is less sitting around, with more to do per worker, partly because those let go will tend to be the least experienced and productive, and partly because there is now more capital per worker.

    Now, if employers are very reluctant to lay off workers, because there is a strong culture of concern for workers and not just the bottom line – a culture like we used to have a lot more of in the 1930s and early 1980s – then for most of the year, or measuring period, we would see much more of effect 1 than effect 2. There'd be a lot more extraneous workers sitting around, and a lot less laying off. With effect 1 dominating, we'd see a productivity drop.

    But now let's fast forward to the late 2000s, where there is much less of a culture of concern for workers and much more of a culture of concern for the bottom line. In this culture extraneous workers may not be allowed to sit around with little to do, producing little, for very long at all. They may be swiftly laid off, so that for only a very small portion of the measuring period the company has too many workers, and for the vast majority of the measuring period, it is running lean, with only the most experienced and productive workers remaining, and each having more capital to work with. In this case effect 1 would be small and effect 2 would be large, and productivity would go up.

    By contrast, let's again go back in time to the 1930s or early 1980s, where there was much more of a culture of concern for workers and much less of a culture of concern for the bottom line, the extraneous workers may then be allowed to sit around with little to do, producing little, for a long time before managers reluctantly lay them off. They may not be swiftly laid off at all, so that for a very large portion of the measuring period, the company has too many workers. It may only start to get lean at the end of the measuring period, if at all, laying off enough workers so that effect 2 is stronger than effect 1 leaving the firm lean and with only the most experienced and productive workers remaining, each having more capital to work with. In this case – where firms are very reluctant to lay off workers -- effect 1 would be big and effect 2 would be small over the measuring period, and productivity would go down.

    Thus, we see one mechanism (and there are others) which could lead to productivity going either way in the face of a decrease in the demand for goods and workers.

    A decrease in the demand for goods and workers does not have to lead to a decrease in productivity as Mulligan intones.

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  6. When I see people making claims that productivity is going up I just have to scratch my head. What data series are they using? If we take the BLS series
    http://data.bls.gov/PDQ/servlet/SurveyOutputServlet?data_tool=latest_numbers&series_id=PRS85006092
    we see a very noisy set of quarterly numbers. For example 2006-2008 gives us this:
    2.5, 1.8, -2.1, 0.2
    0.0, 4.1, 5.8, 0.8
    2.6, 3.6, 1.3
    You get a better signal to noise ratio reading the entrails of a sacrificed chicken. But does the series smooth out if we back up? Why yes it does:
    1998: 2.8%
    1999: 2.9%
    2000: 2.8%
    2001: 2.5%
    2002: 4.1%
    2003: 3.7%
    2004: 2.8%
    2005: 1.8%
    2006: 1.0%
    2007: 1.4%
    So in context what would look to be pretty nice quarterly numbers in some given quarter end up looking like dead cat bounces from a weaker previous quarter or series of quarters, over a longer time span we seem to be in the midst of a multi-year decline in productivty. That is a 5.8% Q3 2007 is at best a reflection of the truly dismal numbers from Q2 2006 to Q1 of 2007. And the cat didn't maintain its altitude after the bounce, it came back to ground with a thump.

    But maybe you guys are using some other series. Personally I try not to draw any kind of conclusions from the numbers in any given quarter, there is just too much noise. Plus the series is subject to substantial revisions after the fact, in 2005 the BLS went back and lowered numbers right back through 2001. At which point I kind of threw up my hands.

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