scholarly journals The Frisch Elasticity in the Mercosur Countries: A Pseudo-Panel Approach

2014 ◽  
Vol 33 (1) ◽  
pp. 107-131 ◽  
Author(s):  
Roberto González ◽  
Hector Sala
Keyword(s):  
Pseudo Panel ◽  
Frisch Elasticity

scholarly journals Can Obesity Cause Depression? A Pseudo-panel Analysis

2017 ◽  
Vol 50 (4) ◽  
pp. 262-267 ◽  
Author(s):  
Hyungserk Ha ◽  
Chirok Han ◽  
Beomsoo Kim
Keyword(s):  
Panel Analysis ◽  
Pseudo Panel

Income Risk Across Industries in Thailand: A Pseudo-Panel Analysis

2018 ◽  
pp. 898-909
Author(s):  
Natthaphat Kingnetr ◽  
Supanika Leurcharusmee ◽  
Jirakom Sirisrisakulchai ◽  
Songsak Sriboonchitta
Keyword(s):  
Panel Analysis ◽  
Income Risk ◽  
Pseudo Panel

scholarly journals Determinants of women’s hours worked in Mexico: A pseudo-panel approach (2005-2010)

CEPAL Review ◽  
2017 ◽  
Vol 2016 (120) ◽  
pp. 119-130
Author(s):  
Armando Sánchez V. ◽  
Verónica Villarespe R. ◽  
Diego A. Román C. ◽  
Ana Liz Herrera M.
Keyword(s):  
Hours Worked ◽  
Pseudo Panel

scholarly journals Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply

2021 ◽  
Author(s):  
Tomas Havranek ◽  
Roman Horvath ◽  
Ali Elminejad
Keyword(s):  
Labor Supply ◽  
Publication Bias ◽  
Model Uncertainty ◽  
Model Averaging ◽  
Extensive Margin ◽  
Real Business Cycle ◽  
Intertemporal Substitution ◽  
The Mean ◽  
Frisch Elasticity ◽  
Frequentist Model Averaging

The intertemporal substitution (Frisch) elasticity of labor supply governs the predictions of real business cycle models and models of taxation. We show that, for the extensive margin elasticity, two biases conspire to systematically produce large positive estimates when the elasticity is in fact zero. Among 723 estimates in 36 studies, the mean reported elasticity is 0.5. One half of that number is due to publication bias: larger estimates are reported preferentially. The other half is due to identification bias: studies with less exogenous time variation in wages report larger elasticities. Net of the biases, the literature implies a zero mean elasticity and, with 95% confidence, is inconsistent with calibrations above 0.25. To derive these results we collect 23 variables that reflect the context in which the elasticity was obtained, use nonlinear techniques to correct for publication bias, and employ Bayesian and frequentist model averaging to address model uncertainty.

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