Projects per year
Abstract
The job search decisions of unemployed workers are forward-looking and shaped by the returns they anticipate from the search process. When expected returns, or discount rates, are high, the discounted benefits from the search process are low. Thus, unemployed workers engage in less intensive job searching. We build a Diamond-Mortensen-Pissarides search model with variable search intensity and Epstein-Zin preferences. We demonstrate that (a) the search return for unemployed workers equals firms' stock return; (b) variable search intensity amplifies both labor market volatilities and stock market risks, relative to fixed search intensity; and (c) search intensity negatively predicts stock market returns in the model, aligned with the data. In addition, through a variance decomposition, we show that the variation in the job search decisions of unemployed workers is mainly driven by discount rates, with little contribution from expected cash flows.
| Original language | English |
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| Publication status | Presented - 9 Aug 2023 |
| Event | Econometric Society Australasian Meeting - University of New South Wales, Sydney, Australia Duration: 7 Aug 2023 → 10 Aug 2023 https://www.esam2023.org/ESAM2023.html |
Conference
| Conference | Econometric Society Australasian Meeting |
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| Place | Australia |
| City | Sydney |
| Period | 7/08/23 → 10/08/23 |
| Internet address |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s)Funding
Ding acknowledges financial support provided by the Research Grants Council of Hong Kong (Project No. 9048153).
Research Keywords
- Search Intensity
- Labor Search Model
- Return Predictability
- Variance Decomposition
- Unemployment
- Vacancies
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Search Intensity and Asset Prices'. Together they form a unique fingerprint.Projects
- 1 Finished
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ECS: Labor Separations and Stock Returns
LUO, D. (Principal Investigator / Project Coordinator)
1/09/19 → 2/08/24
Project: Research