scholarly journals SUCCESSFUL IN THE LONG RUN: A META-REGRESSION ANALYSIS OF PERSISTENT FIRM PROFITS

2017 ◽  
Vol 32 (1) ◽  
pp. 23-49 ◽  
Author(s):  
Stefan Hirsch
Keyword(s):  
Regression Analysis ◽  
Long Run ◽  
Meta Regression ◽  
Meta Regression Analysis

scholarly journals The Price Elasticity of Natural Gas Demand in China: A Meta-Regression Analysis

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3255 ◽  
Author(s):  
Jian Chai ◽  
Huiting Shi ◽  
Xiaoyang Zhou ◽  
Shouyang Wang
Keyword(s):  
Regression Analysis ◽  
Natural Gas ◽  
Price Elasticity ◽  
Long Run ◽  
Cross Price Elasticity ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Natural Gas Demand

Since natural gas has become a new star in China’s energy mix, a reliable estimation of the price elasticity of natural gas demand is crucial if we are to understand how energy price changes affect natural gas consumption. In this paper, we conduct a Meta-regression analysis to quantitatively synthesize empirical estimates of the price elasticity of natural gas demand reported in previous studies, provide true underlying values, and explain the heterogeneity of the aforementioned estimates. The Fixed-effects model and ordinary least squares (OLS) are applied to estimate the regression models. As a result, this paper reports a mean elasticity of −1.521 and 0.410 for the short- and long-run own-price elasticity, separately; −0.762 and 0.008 for the short- and long-run cross-price elasticity-coal to natural gas, respectively; 2.122 and 1.884 for the short- and long-run cross-price elasticity-electricity to natural gas, separately; and 2.267 and 1.275 for the short- and long-run cross-price elasticity-oil to natural gas, respectively. Our results suggest that natural gas consumption increases with the decrease of its own and coal prices in the short term and rise of electricity and oil prices. It also shows that almost all heterogeneity can be explained by the type of data, sample period, models of analysis, geographical region, and type of consumer.

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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