Modelling income processes with lots of heterogeneity.
All empirical models of earnings processes in the literature assume a good deal of homogeneity. In contrast to this we model earnings processes allowing for lots of heterogeneity between agents. We also introduce an ex- tension to the linear ARMA model that allows that the initial convergence to the...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2010
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| Summary: | All empirical models of earnings processes in the literature assume a good deal of homogeneity. In contrast to this we model earnings processes allowing for lots of heterogeneity between agents. We also introduce an ex- tension to the linear ARMA model that allows that the initial convergence to the long run may be di¤erent from that implied by the conventional ARMA model. This is particularly important for unit root tests which are actually tests of a composite of two independent hypotheses. We …t our models to a variety of statistics including most of those considered by pre- vious investigators. We use a sample drawn from the PSID, and focus on white males with a high school degree. Despite this observable homogene- ity we …nd much greater latent heterogeneity than previous investigators. |
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