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Working Paper
Subjective Earnings Risk
Earnings risk is central to economic analysis. While this risk is essentially subjective, it is typically inferred from administrative data. Following the lead of Dominitz and Manski (1997), we introduce a survey instrument to measure subjective earnings risk. We pay particular attention to the expected impact of job transitions on earnings. A link with administrative data provides multiple credibility checks. It also shows subjective earnings risk to be far lower than its administratively- estimated counterpart. This divergence arises because expected earnings growth is heterogeneous, even ...
Working Paper
The Nature of Household Labor Income Risk
What is the nature of labor income risk facing households? We answer this question using detailed administrative data on household earnings from the U.S. Internal Revenue Service. By analyzing total household labor earnings as well as each member's earnings, we offer several new findings. One, households face substantially less risk than males in isolation. Second, households face roughly half the countercyclical increase in risk that males face. Third, spousal labor income ameliorates household earnings risk through both extensive and intensive margins.
Working Paper
Subjective Earnings Risk
While earnings risk is essentially subjective, it is typically inferred from administrative data. We introduce a survey to measure subjective earnings risk, paying particular attention to the expected impacts of job transitions on earnings. Linking with administrative data provides multiple credibility checks. Subjective expectations about earnings growth and job transitions are consistent with actual realizations when appropriately aggregated. We also find subjective earnings risk is lower than risk inferred from administrative data because expected earnings growth is heterogeneous, even ...
Working Paper
Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter
For whom has earnings risk changed, and why? To answer these questions, we develop a filtering method that estimates parameters of an income process and recovers persistent and temporary earnings for every individual at every point in time. Our estimation flexibly allows for first and second moments of shocks to depend upon observables as well as spells of zero earnings (i.e., unemployment) and easily integrates into theoretical models. We apply our filter to a unique linkage of 23.5m SSA-CPS records. We first demonstrate that our earnings-based filter successfully captures observable shocks ...
Working Paper
Subjective Earnings Risk
We introduce a survey instrument to measure earnings risk allowing for the possibility of quitting or being fired from the current job. We find these transitions to be the key drivers of subjective risk. A link with administrative data provides multiple credibility checks for correspondingly aggregated data. Yet it reveals subjective earning risk to be many times smaller than traditional estimates imply even when conditioning richly on demographics and job history. A life-cycle search model calibrated to match data on job transitions and earnings can replicate the distribution of subjective ...
Working Paper
Subjective Earnings Risk
While earnings risk is essentially subjective, it is typically inferred from administrative data. We introduce a survey to measure subjective earnings risk, paying particular attention to the expected impacts of job transitions on earnings. Linking with administrative data provides multiple credibility checks. Subjective expectations about earnings growth and job transitions are consistent with actual realizations when appropriately aggregated. We also find subjective earnings risk is lower than risk inferred from administrative data because expected earnings growth is heterogeneous, even ...