2018
DOI: 10.1017/s1365100516001012
|View full text |Cite
|
Sign up to set email alerts
|

Diminishing Returns and Labor Market Adjustments

Abstract: We amend the canonical matching model by assuming diminishing returns to labor. We put the model to the twin test of generating a high volatility of labor market variables in response to productivity shocks (the “Shimer puzzle”) and a moderate response to changes in unemployment benefits and find that it passes that test. It does not feature wage rigidity, nor is it based on a small surplus calibration. Diminishing returns introduce a distinction betweenmarginalandaveragesurplus. With a standard (large average… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(5 citation statements)
references
References 38 publications
0
5
0
Order By: Relevance
“…Invariance reconciles the finding of amplification in Dao and Delacroix (2018) with the lack thereof in Faccini and Ortigueira (2010). The extensions for the calibration strategy of Shimer (2005) in Section 4.2 and for monopolistic competition in Section 6.3 imply that invariance under this strategy applies to Dao and Delacroix' model.…”
Section: Models With Homogeneous Firmsmentioning
confidence: 61%
See 4 more Smart Citations
“…Invariance reconciles the finding of amplification in Dao and Delacroix (2018) with the lack thereof in Faccini and Ortigueira (2010). The extensions for the calibration strategy of Shimer (2005) in Section 4.2 and for monopolistic competition in Section 6.3 imply that invariance under this strategy applies to Dao and Delacroix' model.…”
Section: Models With Homogeneous Firmsmentioning
confidence: 61%
“…Appendix C examines this strategy in more detail, and shows that it implies that b/w * is strictly increasing in ν. As I discuss in Section 7, the lower fundamental surplus fraction explains why Dao and Delacroix (2018) find stronger amplification when they compare a model with diminishing returns to the model with constant returns in Shimer ( 2005), as their calibration approach results in similar values of b/p * and c/(q * p * ) across the two models. In the familiar thought experiment, calibrating the model with constant returns using this alternative strategy results in a fundamental surplus fraction that is too high.…”
Section: Discussionmentioning
confidence: 96%
See 3 more Smart Citations