Unemployment Insurance and Job Search Behavior

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Unemployment Insurance and Job Search Behavior. / Skandalis, Daphné Jocelyne; Marinescu, Ioana.

In: The Quarterly Journal of Economics, Vol. 136, No. 2, 05.2021, p. 887-931.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Skandalis, DJ & Marinescu, I 2021, 'Unemployment Insurance and Job Search Behavior', The Quarterly Journal of Economics, vol. 136, no. 2, pp. 887-931. https://doi.org/10.1093/qje/qjaa037

APA

Skandalis, D. J., & Marinescu, I. (2021). Unemployment Insurance and Job Search Behavior. The Quarterly Journal of Economics, 136(2), 887-931. https://doi.org/10.1093/qje/qjaa037

Vancouver

Skandalis DJ, Marinescu I. Unemployment Insurance and Job Search Behavior. The Quarterly Journal of Economics. 2021 May;136(2):887-931. https://doi.org/10.1093/qje/qjaa037

Author

Skandalis, Daphné Jocelyne ; Marinescu, Ioana. / Unemployment Insurance and Job Search Behavior. In: The Quarterly Journal of Economics. 2021 ; Vol. 136, No. 2. pp. 887-931.

Bibtex

@article{77efeb464cda488284491c4202508609,
title = "Unemployment Insurance and Job Search Behavior",
abstract = "How does unemployment insurance (UI) affect unemployed workers{\textquoteright} search behavior? Search models predict that until benefit exhaustion, UI depresses job search effort and increases reservation wages. Over an unemployment spell, search effort should increase up to benefit exhaustion and stay high thereafter. Meanwhile, reservation wages should decrease up to benefit exhaustion and stay low thereafter. To test these predictions, we link administrative registers to data on job search behavior from a major online job search platform in France. We follow over 400,000 workers, as long as they remain unemployed. We analyze the changes in search behavior around benefits exhaustion and take two steps to isolate the individual response to unemployment benefits. First, our longitudinal data allows us to correct for changes in sample composition over the spell. Second, we exploit data on workers eligible for 12–24 months of UI as well as workers ineligible for UI, to control for behavior changes over the unemployment spell that are independent of UI. Our results confirm the predictions of search models. We find that search effort (the number of job applications) increases by at least 50% during the year preceding benefits exhaustion and remains high thereafter. The target monthly wage decreases by at least 2.4% during the year preceding benefits exhaustion and remains low thereafter. In addition, we provide evidence for duration dependence: workers decrease the wage they target by 1.5% over each year of unemployment, irrespective of their UI status.",
author = "Skandalis, {Daphn{\'e} Jocelyne} and Ioana Marinescu",
year = "2021",
month = may,
doi = "10.1093/qje/qjaa037",
language = "English",
volume = "136",
pages = "887--931",
journal = "Quarterly Journal of Economics",
issn = "0033-5533",
publisher = "Oxford University Press",
number = "2",

}

RIS

TY - JOUR

T1 - Unemployment Insurance and Job Search Behavior

AU - Skandalis, Daphné Jocelyne

AU - Marinescu, Ioana

PY - 2021/5

Y1 - 2021/5

N2 - How does unemployment insurance (UI) affect unemployed workers’ search behavior? Search models predict that until benefit exhaustion, UI depresses job search effort and increases reservation wages. Over an unemployment spell, search effort should increase up to benefit exhaustion and stay high thereafter. Meanwhile, reservation wages should decrease up to benefit exhaustion and stay low thereafter. To test these predictions, we link administrative registers to data on job search behavior from a major online job search platform in France. We follow over 400,000 workers, as long as they remain unemployed. We analyze the changes in search behavior around benefits exhaustion and take two steps to isolate the individual response to unemployment benefits. First, our longitudinal data allows us to correct for changes in sample composition over the spell. Second, we exploit data on workers eligible for 12–24 months of UI as well as workers ineligible for UI, to control for behavior changes over the unemployment spell that are independent of UI. Our results confirm the predictions of search models. We find that search effort (the number of job applications) increases by at least 50% during the year preceding benefits exhaustion and remains high thereafter. The target monthly wage decreases by at least 2.4% during the year preceding benefits exhaustion and remains low thereafter. In addition, we provide evidence for duration dependence: workers decrease the wage they target by 1.5% over each year of unemployment, irrespective of their UI status.

AB - How does unemployment insurance (UI) affect unemployed workers’ search behavior? Search models predict that until benefit exhaustion, UI depresses job search effort and increases reservation wages. Over an unemployment spell, search effort should increase up to benefit exhaustion and stay high thereafter. Meanwhile, reservation wages should decrease up to benefit exhaustion and stay low thereafter. To test these predictions, we link administrative registers to data on job search behavior from a major online job search platform in France. We follow over 400,000 workers, as long as they remain unemployed. We analyze the changes in search behavior around benefits exhaustion and take two steps to isolate the individual response to unemployment benefits. First, our longitudinal data allows us to correct for changes in sample composition over the spell. Second, we exploit data on workers eligible for 12–24 months of UI as well as workers ineligible for UI, to control for behavior changes over the unemployment spell that are independent of UI. Our results confirm the predictions of search models. We find that search effort (the number of job applications) increases by at least 50% during the year preceding benefits exhaustion and remains high thereafter. The target monthly wage decreases by at least 2.4% during the year preceding benefits exhaustion and remains low thereafter. In addition, we provide evidence for duration dependence: workers decrease the wage they target by 1.5% over each year of unemployment, irrespective of their UI status.

U2 - 10.1093/qje/qjaa037

DO - 10.1093/qje/qjaa037

M3 - Journal article

VL - 136

SP - 887

EP - 931

JO - Quarterly Journal of Economics

JF - Quarterly Journal of Economics

SN - 0033-5533

IS - 2

ER -

ID: 292090170