doi:10.1016/S0014-2921(00)00035-0
Copyright © 2000 Elsevier Science B.V. All rights reserved.
Productivity gains from unemployment insurance
Daron Acemoglua and Robert Shimer
,
, b
a Department of Economics, M.I.T., Cambridge, MA 02139, USA
b Department of Economics, Princeton University, 204 Fisher Hall, Princeton, NJ 08544-1021, USA
Available online 1 June 2000.
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Abstract
This paper argues that unemployment insurance increases labor productivity by encouraging workers to seek higher productivity jobs, and by encouraging firms to create those jobs. We use a quantitative model to investigate whether this effect is comparable in magnitude to the standard moral hazard effects of unemployment insurance. Our model economy captures the behavior of the U.S. labor market for high school graduates quite well. With unemployment insurance more generous than the current U.S. level, unemployment would increase by a magnitude similar to the micro-estimates; but because the composition of jobs also changes, total output and welfare would increase as well.
Author Keywords: Efficiency; Risk-aversion; Search; Unemployment insurance; Consumption smoothing
JEL classification codes: D83; J64; J65
Fig. 1. The thin curve is the worker's indifference curve. The thick curve is the firm's zero profit constraint.
Fig. 2. An increase in unemployment income flattens workers’ indifference curves, from the dashed line to the solid line, shifting the tangency point towards higher wages and specificity.
Fig. 3. Consumption as a function of normalized assets in the four employment states, benchmark parameterization. Note that workers quit bad jobs when their assets exceed 19.
Fig. 4. Hours of search or labor supply as a function of normalized assets in the four employment states, benchmark parameterization. Note that workers quit bad jobs when their assets exceed 19.
Fig. 5. Ergodic distribution of asset holdings, benchmark parameterization.
Fig. 6. A typical 10,000 week sample path of asset holdings, benchmark parameterization.
Table 1. Baseline parameterization

Table 2. Results in the benchmark parameterization, and for three alternative UI schemes

Table 3. Results with a high value of leisure, η=1

Table 4. Results with low wage dispersion, wg=1.15

Table 5. Results with low risk aversion, θ=1

Table 6. Results with on-the-job search
