scholarly journals The Long Road to Equality: A Meta-Regression Analysis of Changes in the Black Test Score Gap Over Time*

2018 ◽  
Vol 99 (3) ◽  
pp. 1119-1133
Author(s):  
Nick Huntington-Klein ◽  
Elizabeth Ackert
Keyword(s):  
Regression Analysis ◽  
Test Score ◽  
Test Score Gap ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Over Time

scholarly journals Is the evidence on the effectiveness of pay for performance schemes in healthcare changing? Evidence from a meta-regression analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Arezou Zaresani ◽  
Anthony Scott
Keyword(s):  
Systematic Review ◽  
Regression Analysis ◽  
Pay For Performance ◽  
Positive Association ◽  
Lower Proportion ◽  
Previous Systematic Review ◽  
Weak Evidence ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Over Time

Abstract Background This study investigated if the evidence on the success of the Pay for Performance (P4P) schemes in healthcare is changing as the schemes continue to evolve by updating a previous systematic review. Methods A meta-regression analysis using 116 studies evaluating P4P schemes published between January 2010 to February 2018. The effects of the research design, incentive schemes, use of incentives, and the size of the payment to revenue ratio on the proportion of statically significant effects in each study were examined. Results There was evidence of an increase in the range of countries adopting P4P schemes and weak evidence that the proportion of studies with statistically significant effects have increased. Factors hypothesized to influence the success of schemes have not changed. Studies evaluating P4P schemes which made payments for improvement over time, were associated with a lower proportion of statistically significant effects. There was weak evidence of a positive association between the incentives’ size and the proportion of statistically significant effects. Conclusion The evidence on the effectiveness of P4P schemes is evolving slowly, with little evidence that lessons are being learned concerning the design and evaluation of P4P schemes.

scholarly journals The Elasticity of Taxable Income: A Meta-Regression Analysis*

2021 ◽  
Author(s):  
Carina Neisser
Keyword(s):  
Regression Analysis ◽  
Policy Analysis ◽  
Selective Reporting ◽  
Tax Base ◽  
Taxable Income ◽  
Income Elasticities ◽  
Elasticity Of Taxable Income ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Key Parameter

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.

Rate of Death and Complications in Laparoscopic and Open Roux-en-Y Gastric Bypass. A Meta-analysis and Meta-regression Analysis on 69,494 Patients

2016 ◽  
Vol 26 (8) ◽  
pp. 1956-1963 ◽  
Author(s):  
Emanuele Rausa ◽  
Luigi Bonavina ◽  
Emanuele Asti ◽  
Maddalena Gaeta ◽  
Cristian Ricci
Keyword(s):  
Gastric Bypass ◽  
Regression Analysis ◽  
Meta Analysis ◽  
Meta Regression ◽  
Meta Regression Analysis
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