A model of wealth distribution, falling interest rates, ZIRP, unemployment, and quantitative easing

I will sketch a simple model in which the distribution of wealth gets more unequal over time, how the equilibrium real interest rate falls over time, eventually leading to a zero nominal interest rate, and unemployment. I will then show that an increase in the money supply can increase employment, despite zero nominal interest rates.

Let me give you the intuition first.

People differ in how patient they are, along a continuum. In the initial equilibrium, the more patient save and the less patient dissave. Over time, the patient accumulate assets and the impatient reduce their assets. Eventually the impatient become borrowing-constrained.

The initial equilibrium real rate of interest depends on the average degree of patience of the whole population. But when the impatient become borrowing-constrained, the equilibrium real rate of interest depends on the average degree of patience of that subset of the population which is not borrowing-constrained. That subset excludes the less patient, which means the equilibrium real interest rate falls over time as more and more people become borrowing-constrained. Eventually the equilibrium real interest rate falls so much that the nominal interest rate hits the zero lower bound.

There are two assets: money and bonds. Money is a medium of exchange; bonds are not. When the nominal interest rate hits zero, the most patient continue to save, but can only save in the form of money. The least patient dissave, and slowly reduce their holdings of money.

Since the most patient now hold money purely as a store of wealth, at the margin, the average desired velocity of circulation of money across the population falls over time. As velocity falls over time, aggregate demand falls over time, and unemployment rises over time.

Unexpected deflation would prevent unemployment by allowing the real money stock to rise over time. But fully anticipated deflation might worsen unemployment by increasing the real interest rate above equilibrium. A permanent increase in the money supply would prevent unemployment for a long time, provided some of the money were given to the borrowing-constrained.

Here's a sketch of the model.

Agents are identical, except in their rate of time preference (patience). There is a continuous distribution of rates of time preference F(d). Otherwise agents are identical. They consume, and supply labour inelastically.

Labour produces consumption services. No investment or storage.

Let's start with a barter version of the model.

There is one asset: government bonds. Agents are unable to issue private bonds, so an agent who runs out of bonds is borrowing-constrained.

Each agent has a consumption-Euler equation (personal IS curve): C0 = C(C1,d-r). Where r is the real rate of interest.

The market rate of interest adjusts until aggregate savings equals zero. The more patient agents will be saving, and the less patient will be dissaving. So the stock of bonds flows from the less patient (r<d) to the more patient (r>d). Eventually the least patient person runs out of bonds, becomes borrowing constrained, and stops dissaving. Aggregate savings therefore rises, and so the rate of interest falls, and continues to fall over time as more and more people become borrowing-constrained. Eventually, the most patient person in the whole population will hold all the bonds, and everyone else is borrowing-constrained.

Now introduce money, as a second asset. Money pays no interest, but is a medium of exchange. Each agent has a cost of having a high personal velocity of circulation (low real balances relative to nominal expenditure). The marginal cost falls to zero when velocity gets below some minimum level (call it 1), at which point he is satiated in monetary services.

Some agents own bonds. They can separate their savings decision (consumption vs. savings) from their portfolio allocation decision (money vs. bonds).

Each agent who owns bonds has a personal LM curve, which defines velocity as a function of the nominal rate of interest. The LM curve has the normal slope, but suddenly goes horizontal at a zero nominal rate of interest.

But other agents do not own bonds, and are borrowing-constrained. Their savings decisions cannot be separated from their money demand decisions. If the real rate of interest is below their rate of time-preference, they will dissave, and slowly reduce their holdings of money over time. But as their money holdings get smaller, their level of dissaving will fall, so eventually their savings drops to zero, and their money holdings stop falling when they hit some lower bound (whether at a zero or positive level of money depends on their preferences).

The aggregate stocks of bonds and money stay constant over time.

At the beginning of time, the bonds and money are divided equally between all agents. Then play begins.

Over time, the patient agents save, the impatient agents dissave, and bonds flow from the impatient to the patient.

Eventually, the least patient agent runs out of bonds, his savings rate slowly falls, as his stock of money falls, and then he stops dissaving when his holdings of money hit the lower bound. As more and more agents hit the lower bound, the real rate of interest falls over time. Eventually the real rate of interest falls so low that the nominal rate of interest hits zero.

When the nominal rate of interest hits zero, and the real rate of interest can fall no further, desired aggregate savings at full employment is positive. Unemployment, initially at zero, now begins to rise. The more patient, who are saving, accumulate both bonds and money, past the point of satiation of money holdings.

After some time, there are four sets of agents. 1) The most patient are still saving, and hold bonds and money, and are past satiation in money (they hold "idle hoards"). 2)The slightly less patient are dissaving, and holding bonds and money. 3)The slightly less patient still are dissaving, and holding only money. 4) The least patient have stopped dissaving, and hold only money (the lower bound).

Unemployment would cause the price level to fall, if we assume flexible prices. A lower price level would help eliminate unemployment, by increasing the real value of all agents' holdings of money. The fourth group of agents would now join the third group, and would start dissaving again. (And the third group might dissave more). This will reduce aggregate savings, and help reduce unemployment. But expected deflation would increase the real interest rate, cause an increase in savings, and increase unemployment. The second effect would dominate (assume it doesn't and you get a contradiction, which would take me too long to prove).

So let's just assume the price level stays fixed once unemployment starts to appear.

Then the central bank decides to do something about unemployment.

An open market operation will not help (I think). But a helicopter increase in the money supply will help. The fourth group of agents will start dissaving again. The third group of agents will dissave more. So aggregate savings falls.

If the helicopter can increase the supply of money by a big enough amount to get to full employment, then the price level can start to rise if extra money is added. So the policy prescription is one big helicopter drop, to get to full employment, then steadily increase the money supply over time to make inflation positive, and allow the real rate to drop below zero.

Well, the model works, sort of. But I am not happy with it. A helicopter drop of bonds could have the same initial effect, since the borrowing-constrained could sell the bonds for some of the money held in idle hoards. The bond market (and that's the only asset market) is perfectly liquid, in that bonds can be swapped for money at zero cost. Put it another way: it's the wealth effect, as much as any liquidity effect, that's doing most of the work (I think).

But, the model does show that monetary policy could work, even at zero nominal interest rates. So I'm going to post it, even though it's not really doing what I want it to do.

57 comments

  1. bob's avatar

    To summarize: Taleb’s strategy is only sure to pay off with infinite capital deployed over an infinite length of time. Neither of those things exist in the real world for a mortal investor, and that’s why it’s a poor strategy.

  2. Nick Rowe's avatar

    bob: thanks. That helps.
    1. Shorting a bubble is very much like betting on your boxer with a 1% chance of winning. Suppose there is a 1% chance per month that the bubble will burst. And every month you bet $1 that the bubble will burst. Sort of like a dynamic shorting strategy.
    2. So betting that a black swan will appear is a very risky strategy. Only if you are very long-lived, and have big capital reserves, would you do it. Which might explain why the market odds tend to be biased.
    3. On the other hand, we see people buy lottery tickets (bet on black swans), even when the expected returns are negative. Firms (casinos) and lottery corporations, actually produce risk, and people pay them to produce risk. Pity someone can’t figure out a way to get people to pay for the risk that e.g. weather produces, instead of having to pay people to accept that risk.

  3. Adam's avatar

    Nick, you hit the nail on the head in your third point. Taleb’s story comes down to saying that an insurance company selling fire insurance is mispricing the risk if it ever happens that the payout from one house that burns down exceeds the premiums received from only that contract. This completely misunderstands how insurance works, the company is profitable as long as the total payout from houses burning down is less than the total premium received from all policies written. Thus, a well run insurance company is hugely profitable and Taleb’s hedge fund failed.
    Don’t use AIG as the counterexample, they were stupid but in a different way. Basically what they did was like having too much of the policy portfolio tied to one very expensive house. If that house burns down the insurer goes broke even if they correctly priced the policy. This basically was what all of wall street did wrong.
    Finally, there are many insurance writing strategies that are profitable if you don’t lever up a million times. For example, there is a strategy known as “short gamma” which sells atm option straddles and delta hedges to maturity. The strategy has been horrible over the last little while, since about Aug. 08, but if you’ve been doing it since 1994 you’re still way in the money. The fact that it sometimes does poorly doesn’t mean the pricing of the risk is wrong, over a long time you make money so it seems the risk is well priced. You make 20 basis points a month in 95% of the months and in 5% of the months you lose 200 basis points. On average your making 9bp a month, the fact that you sometimes lose 200bp doesn’t mean the risk is mispriced, it means the risk is correctly priced. If you never had the big loss then the mystery would be where the 20bp a month is coming from the rest of the time.
    Doing the opposite, which Taleb recommends, would be proftiable over the last 5 months but if you try to do it for a long time you go broke.

  4. reason's avatar

    Adam
    you are forgetting that insurance is a competitive market. If claims are highly correlated then the market price for that insurance may be too low. Anybody pricing the risk correctly would have no customers. It is a general problem with insurance.

  5. reason's avatar

    As for casinos etc – that doesn’t prove that people are in general not risk averse, only that they have non-linear risk preferences. They actually would like a very small part of their portfolio to offer a chance of a very high return. Call it the hope investment (they get utility from knowing they have a chance to be very rich). They are not interested in the average return in this case.

  6. bob's avatar

    “you are forgetting that insurance is a competitive market. If claims are highly correlated then the market price for that insurance may be too low. Anybody pricing the risk correctly would have no customers. It is a general problem with insurance.”
    True, but there are some countervailing forces at work as well that address this problem. The dirty little not-so-secret of insurance is that it is priced by cartel, out of necessity.
    In any given situation, one insurance company could undercut every other insurance company by under-pricing long-term risk for short-term gain. Eventually, the loss-runs would pile up and they would go belly up, but everyone else would already be out of business. For this reason, price-fixing is pretty endemic in the P&C insurance world. I think the most recent case was in Ohio, but most major insurance companies have been charged with price-fixing at one point or another. It’s not entirely their fault though, as cartel pricing is born of necessity.
    It is true though that cartel pricing never works 100% so the insurance market still cycles between soft market and hard market conditions. Sometimes risk is over-priced, sometimes it is under-priced and sometimes it is “correctly” priced. Insurance is a zero-sum game, so “correct” pricing really means moderately over-priced risks.
    Most insurance companies (and option sellers) tend to insist on a pretty fat over-pricing/profit/error margin, so I think that Adam’s point does still hold. If Taleb was right, Warren Buffett would be poor. Instead he has become incredibly rich, partially by insuring against low-probability high-loss events like natural disasters, risks that would be under-priced according to Taleb’s grand theory of “why everyone besides me is a complete idiot”. In reality it is just not true.
    If anything, people are unduly terrified of those kinds of events, and over-estimate their prevalence (plane crashes etc.) so they drastically over-pay for the insurance. I think that might be the flip-side of Nick’s lottery example. It’s human nature to over-price options on both low-probability high-gain events, and low-probability high-loss events. Both the lottery industry and the insurance industry have profited from this, while Taleb failed by trying to bet against it.

  7. Adam's avatar

    Thanks Bob, your explanation was better than mine. When I wrote the comment I didn’t really mean to refer to actual insurance markets, I had in mind perfectly functioning markets.
    What I meant to say was that if Taleb were to observe a perfectly functioning insurance market he would notice that sometimes there is an earthquake in California and because the total payouts that year exceed the premiums collected that year, he would claim that the company must have stupidly underpriced the risk. Of course, Taleb would ignore the fact that for the previous 15 years the insurance company made more than enough to pay the claims and still be profitable.

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