@@ -947,21 +947,24 @@ workers can protect themselves against downside risk by rejecting low offers.
947947
948948This option value translates into higher expected lifetime utility.
949949
950- To demonstrate this, we'll:
950+ To demonstrate this, we will:
951+
9519521 . Compute the reservation wage for each volatility level
952- 2 . Simulate the worker's job search process following the optimal policy
953- 3 . Calculate the expected discounted lifetime income
953+ 3 . Calculate the expected discounted value of the lifetime income stream
954+ associated with that reservation wage, using Monte Carlo.
955+
956+ The simulation works as follows:
954957
955- The simulation works as follows: we draw 100 wage offers and track the worker's
956- earnings at each date. The worker accepts the first offer that exceeds their
957- reservation wage and earns that wage in all subsequent periods. We then compute
958- the discounted sum of earnings over these 100 periods .
958+ 1 . Compute the present discounted value of one lifetime earnings path, from a given wage path.
959+ 2 . Average over a large number of such calculations to approximate expected discounted value.
960+
961+ We truncate each path at $T=100$, which provides sufficient resolution for our purposes .
959962
960963``` {code-cell} ipython3
961964@jax.jit
962965def simulate_lifetime_value(key, model, w_bar, n_periods=100):
963966 """
964- Simulate one realization of the job search and compute lifetime value.
967+ Simulate one realization of the wage path and compute lifetime value.
965968
966969 Parameters:
967970 -----------
@@ -1081,9 +1084,6 @@ The plot confirms that despite workers setting higher reservation wages when fac
10811084more volatile wage offers (as shown above), they achieve higher expected lifetime
10821085values due to the option value of search.
10831086
1084- This demonstrates a key insight from the McCall model: volatility in wage offers
1085- benefits workers who can optimally time their job acceptance decision.
1086-
10871087
10881088## Exercises
10891089
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