scholarly journals Meta-Analysis of Chinese Business Cycle Correlation

2015 ◽  
Author(s):  
Jarko Fidrmuc ◽  
Iikka Korhonen
Keyword(s):  
Business Cycle ◽  
Meta Analysis ◽  
Chinese Business

scholarly journals Meta-Analysis of Chinese Business Cycle Correlation

2016 ◽  
Vol 23 (3) ◽  
pp. 385-410 ◽  
Author(s):  
Jarko Fidrmuc ◽  
Iikka Korhonen
Keyword(s):  
Business Cycle ◽  
Meta Analysis ◽  
Chinese Business

scholarly journals FAMILY FIRM PERFORMANCE OVER THE BUSINESS CYCLE: A META‐ANALYSIS

2020 ◽  
Vol 34 (3) ◽  
pp. 476-511 ◽  
Author(s):  
Christopher Hansen ◽  
Joern Block ◽  
Matthias Neuenkirch
Keyword(s):  
Firm Performance ◽  
Business Cycle ◽  
Meta Analysis ◽  
Family Firm ◽  
The Business Cycle

What accounts for Chinese Business Cycle?

2009 ◽  
Vol 20 (4) ◽  
pp. 650-661 ◽  
Author(s):  
Qing He ◽  
Terence Tai-Leung Chong ◽  
Kang Shi
Keyword(s):  
Business Cycle ◽  
Chinese Business

Comovement between the Chinese Business Cycle and Financial Volatility: Based on a DCC-MIDAS Model

2019 ◽  
Vol 56 (6) ◽  
pp. 1181-1195 ◽  
Author(s):  
Yuhang Zheng ◽  
Zhenzhen Wang ◽  
Zhehao Huang ◽  
Tianpei Jiang
Keyword(s):  
Business Cycle ◽  
Financial Volatility ◽  
Chinese Business

scholarly journals Volatility and growth: a not so straightforward relationship

2018 ◽  
Vol 71 (4) ◽  
pp. 874-907 ◽  
Author(s):  
Dimitrios Bakas ◽  
Georgios Chortareas ◽  
Georgios Magkonis
Keyword(s):  
Economic Growth ◽  
Business Cycle ◽  
Empirical Evidence ◽  
Meta Analysis ◽  
Theoretical Models ◽  
Estimation Methods ◽  
Empirical Estimates ◽  
Reported Effect ◽  
Control Set ◽  
The Relationship

Abstract Conflicting theoretical models and diverse empirical evidence characterize research analysing the relationship between business cycle volatility and economic growth. While the average reported effect of volatility on growth is negative, the empirical estimates vary substantially across studies. We identify the factors that explain this heterogeneity in estimates by conducting a meta-analysis. Our evidence suggests that researchers’ choices regarding the measure of volatility, the control set of the estimated equation, the estimation methods, and the data characteristics can all explain the differences in the reported estimates. Finally, the literature is found to be free of publication bias.

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