The Timing of Mass Layoff Episodes: Evidence from U.S. Microdata

Weingarden, Alison

doi:10.17016/feds.2017.088

FEDS

2017

DOI: 10.17016/feds.2017.088

|View full text |Cite

The Timing of Mass Layoff Episodes: Evidence from U.S. Microdata

Alison Weingarden

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a companion paper, Weingarden (2016), I use the Challenger dataset to show that a firm's propensity to conduct layoffs increases in response to declines in firm-level revenue and profits. Moreover, I find that the response to firm-level financial conditions happens over one year or more.…”

mentioning

confidence: 99%

Employment Dynamics in a Signaling Model with Workers' Incentives

Weingarden

2017

FEDS

Self Cite

View full text Add to dashboard Cite

Many firms adjust employment in a "lumpy" manner -infrequently and in large bursts. This paper shows how workers' incentives can function as an endogenous cost that leads to lumpy firm-level employment adjustments such as mass layoffs.The signaling model features a firm that has private information about idiosyncratic demand shocks and relies on workers' effort for production. When workers observe the firm's employment choice but not the underlying shock, the equilibrium is characterized by partial pooling in which the firm hoards labor to maintain workers' incentives. In response to small negative shocks, the firm initially underadjusts in order to conceal information from workers; it conducts a mass layoff after business conditions deteriorate past a certain point.JEL Classification: D82, J21, J63, M51.

show abstract

mentioning

confidence: 99%

Employment Dynamics in a Signaling Model with Workers' Incentives

Weingarden

2017

FEDS

Self Cite

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The Timing of Mass Layoff Episodes: Evidence from U.S. Microdata

Cited by 1 publication

References 13 publications

Employment Dynamics in a Signaling Model with Workers' Incentives

Employment Dynamics in a Signaling Model with Workers' Incentives

Contact Info

Product

Resources

About