©April 29, 2008, Christopher Carroll RBC-Prescott

The Prescott Real Business Cycle Model

This handout presents some of the basic elements of the standard Real Business Cycle model of aggregate fluctuations, as laid out by Prescott (1986).

Consider a representative household whose goal is to maximize

   [                 ]
     ∑∞
𝔼t       βtu (ct,zt)
     t=0
(1)

where zt is the fraction of time the representative agent spends at leisure (not working); the alternative to leisure is the number of hours you work, which will be designated t, and the time endowment is normalized to 1, so that

ℓt + zt  =   1.                          (2)

Assume that the structure of the utility function is

              (              )
                (c1--ζzζ)1--ρ
u (c,z )  =                                           (3)
                   1 -  ρ
     uc   =   (c1- ζz ζ)- ρc - ζz ζ(1 - ζ )           (4)

     uz   =   (c1- ζz ζ)- ρc1 - ζz ζ- 1ζ               (5)

Think about the maximum amount of income that could be gained if one worked every waking hour:

yt  =   Wt.                             (6)

One can then think of deciding to ‘purchase’ two things with this endowment of income: leisure zt whose price is Wt, or consumption, whose price is normalized to one.

Over the past century in the U.S. wages, have risen very substantially, but hours worked have not declined much if at all. (Ramey and Francis (2006)). What kind of utility function implies that the budget share of a good (leisure) remains constant even as the price of the good changes sharply? A Cobb-Douglas utility function. Hence the assumption that utility is obtained from a Cobb-Douglas aggregate of consumption and leisure is consistent with the lack of a trend in hours worked per worker.

Note that since workers are now choosing how many hours to work as well how much to consume, there will be a first order condition describing the optimal allocation between consumption and leisure within a period. In particular, the price of leisure is Wt and the price of consumption is 1, so the ratio of the marginal utility of leisure to the marginal utility of consumption should be

(     )       (   z)
  Wt--    =     u-t  .                       (7)
   1            uct

To see this, note that the consumer’s goal is to

{mcatx,zt}u (ct,zt).
(8)

Suppose the consumer has decided to spend a given amount χt in period t on a combination of consumption and leisure,

ct + Wtzt   =   χt                         (9)

Then (8) becomes

max   u(χ   - W   z ,z )
 {zt}     t      t t  t
(10)

for which the FOC is

- ucW   +  uz  =   0                           (11)
   t   t    t
          Wt   =   (uzt∕uct).                  (12)

Returning to (7)

(     )       (   z)
   Wt--   =     u-t                                  (13)
    1           uct
              (           )  (       )
                c1t- ζztζ- 1      ζ
     Wt   =     -----ζ-ζ--     -------               (14)
                  ct  zt       1 -  ζ
              (    ) (        )
          =     ct-    ---ζ---                       (15)
                zt     1 -  ζ
or
               (       )
                   ζ
Wtzt ∕ct   =     -------  .                   (16)
                 1 - ζ

Since we know that z has been roughly constant over long periods of time, this implies that as wages rise, consumption rises by roughly the same amount.

One of the claims of the DSGE literature is that it will calibrate its business-cycle models based on either long-run facts (like the lack of a trend in z) or on micro data (like intertemporal elasticities estimated using household data). So how is ζ calibrated?

If wages are defined as per unit of labor, then if on average consumption roughly equals labor income c = (1 - z)w we have

(            )       (       )
   ---wz------   =     --ζ----                   (17)
   w (1 - z )          1 -  ζ
    (        )       (       )
       1---z--         1----ζ-
         z       =       ζ                       (18)

      1 ∕z -  1  =   1∕ ζ - 1                    (19)

              z  =   ζ.                          (20)

So ζ should be calibrated to be equal to the proportion of their available (i.e. non-sleep) time people spend not working. A 40-hour work week (along with 8 hours of sleep a day) would yield ζ = 23. Among other taste parameters, Prescott chooses log utility (lim ρ1u(c)) and β = 0.96.

The aggregate production function is assumed to be Cobb-Douglas,

            ◜1-◞◟δ◝
K       =    ℸ   K   +  Y -  C                   (21)
   t+1              t     t     t
    Yt  =   ψtK1  - λL λ                         (22)
                 t    t
where Lt = (1 - zt)Lt = tLt. Constant income shares and perfect competition imply
FLL  ∕Y   =   λ ψtK1 t- λ Lλ- 1Lt ∕Yt              (23)

          =   λ                                    (24)
so that labor’s share of GDP is roughly constant. Prescott sets labor’s share to a constant 64 percent, and chooses a depreciation rate of δ = 0.10.

The crucial assumption, however, is about the productivity process, since ‘technology shocks’ are assumed to drive business cycles.

Prescott defines the ‘hat’ operatorˆas:

        (              )
           Xt----Xt-- 1
ˆXt  =                                        (25)
              Xt - 1
which implies from the production function that
ψˆt   ≈   ˆYt - λ ˆLt -  (1 -  λ)Kˆt.                 (26)
(this is just the Solow residual).

Prescott ‘estimates’ a productivity process that takes the form

ψˆt   =   λt + εt                         (27)
with a standard deviation of σε = 0.76 per quarter.

Prescott makes sufficient assumptions (perfect competition, etc.) so that the social planner’s problem is the same as the decentralized solution. With log utility, the social planner’s problem is

         [∑∞                                      ]
                t
max   𝔼t       β [(1 -  ζ) log ct +  ζ log (1 -  ℓt)]
           t=0
(28)

subject to

kt+1  =   ℸkt  + ψtk1t- λℓλt -  ct                (29)

  ψt  =   λt +  εt.                              (30)

Prescott argues that the way to judge the model is by whether it produces plausible statistics for standard deviations of the key variables. He has a table that argues it does.


σz σy σn




US Data 0.76 1.76 1.67
Model 0.76 1.48 0.76

Since the first column is calibrated, it isn’t a test of the model. The second column comes out of the model, and isn’t too bad a fit. However, the third column is a terrible fit. What it says is that labor input is much more variable over the course of the business cycle than this model would suggest.

What’s going on? To understand the answer, we need to understand why hours fluctuate in this model at all. Recall that we deliberately constructed the model (by choosing a utility function that was Cobb-Douglas in consumption and leisure) explicitly to prohibit any long-run response of hours worked to wages. Since hours worked are being chosen freely on a day-by-day basis by workers in this model, there must be some incentive that causes them to be willing to put up with short-term variation in hours.

The answer is that transitory productivity shocks provide an incentive to work harder some times than others. In particular, if there is a positive productivity shock you will be willing to work longer hours than usual, while if there is a negative productivity shock everybody wants to take a vacation.

To see this formally, consider again the first order conditions from the maximization problem. Recall that we showed in (16) that

              (        )
W  z ∕c   =     ---ζ---                         (31)
  t t  t        1 -  ζ

          =   Wt+1zt+1  ∕ct+1.                  (32)

Now note that since (28) is separable in consumption and leisure the intertemporal FOC will imply that

1∕ct  =   Rt+1 β ∕ct+1                      (33)

ct+1  =   Rt+1 βct.                         (34)

Combining this with (32) gives

   Wtzt   =   Wt+1zt+1  ∕Rt+1  β                   (35)
              (            )
z    ∕z   =     --Rt+1-β---                        (36)
  t+1   t        Wt+1  ∕Wt

    ˆzt+1  ≈   - wˆt+1  +  (rt+1 -  θ)               (37)

What this equation tells us is that there are two ways to make zt (and therefore t) fluctuate over the business cycle:

  1. Make transitory movements in real wages induce a strong labor supply response
  2. Make movements in interest rates induce a strong labor supply response (the idea is that you will work hard during the period of high interest rates in order to earn more cash upon which to earn the high interest rate - in thinking about this, consider that a high value of Rt+1 will induce high leisure growth between t and t + 1 by resulting in low leisure in period t)

This latter is a quite general problem with the DSGE framework in which fluctuations in employment over the business cycle are driven by voluntary changes in hours worked.

References

   Prescott, Edward C. (1986): “Theory Ahead of Business Cycle Measurement,” Carnegie-Rochester Conference Series on Public Policy, 25, 11–44.

   Ramey, Valerie A., and Neville Francis (2006): “A Century of Work and Leisure,” NBER Working Paper Number 12264.