Meta-Regression Analysis of Placebo Response in Antipsychotic Trials, 1970–2010

2013 ◽  
Vol 170 (11) ◽  
pp. 1335-1344 ◽  
Author(s):  
Ofer Agid ◽  
Cynthia O. Siu ◽  
Steven G. Potkin ◽  
Shitij Kapur ◽  
Eric Watsky ◽  
...  
2019 ◽  
Vol 44 (11) ◽  
pp. 1955-1966 ◽  
Author(s):  
Stefan Leucht ◽  
Anna Chaimani ◽  
Dimitris Mavridis ◽  
Claudia Leucht ◽  
Maximilian Huhn ◽  
...  

2018 ◽  
Vol 45 (1) ◽  
pp. 57-68 ◽  
Author(s):  
David Fraguas ◽  
Covadonga M Díaz-Caneja ◽  
Laura Pina-Camacho ◽  
Daniel Umbricht ◽  
Celso Arango

2021 ◽  
Author(s):  
Carina Neisser

Abstract The elasticity of taxable income (ETI) is a key parameter in tax policy analysis. To examine the large variation found in the literature of taxable and broad income elasticities, I conduct a comprehensive meta-regression analysis using information from 61 studies containing 1,720 estimates. My findings reveal that estimated elasticities are not immutable parameters. They are correlated with contextual factors and the choice of the empirical specification influences the estimated elasticities. Finally, selective reporting bias is prevalent, and the direction of bias depends on whether deductions are included in the tax base.


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