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Productivity insurance: the role of unemployment benefits in a multi-sector model
We construct a multi-sector search and matching model where the unemployed receive idiosyncratic productivity shocks that make working in certain sectors more productive than in the others. Agents must decide which sector to search in and face moving costs when leaving their current sector for another. In this environment, unemployment is associated with an additional risk: low future wages if mobility costs preclude search in the appropriate sector. This introduces a new role for unemployment benefits?productivity insurance while unemployed. Analytically, we characterize two competing ...
Sorting by skill over the course of job search
We use novel high-frequency panel data on individuals' job applications from an online job posting engine to study (1) whether at the beginning of search job seekers with different levels of education (skill) apply to different jobs, and (2) how search behavior changes as search continues. First, we find that there is sorting by skill at the beginning of search. Second, as search continues, job seekers apply to different types of jobs than at the beginning of search. In particular, assuming that sorting at the beginning of search is positive, as search continues there is less sorting by ...
A moment-matching method for approximating vector autoregressive processes by finite-state Markov chains
This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and tends to outperform the existing methods for approximating multivariate processes over a wide range of the parameter space, especially for highly persistent vector autoregressions with roots near the unit circle.