Detail grantu

GACR 15-02411S Development and Applications of Meta-Regression Methods in Economics

Řešitel: Mgr. Diana Žigraiová
Spolupracovníci: doc. PhDr. Tomáš Havránek Ph.D.
PhDr. Zuzana Havránková Ph.D.
prof. Roman Horváth Ph.D.
PhDr. Marek Rusnák
PhDr. Jiří Schwarz Ph.D.
Popis: Our project has three aims. First, we will focus on the statistical investigation and validation of the use of meta-regression analysis to summarize, explain, and correct reported findings from quasi-experimental and experimental research studies in economics. The existing meta-analysis models in economics have been designed for the synthesis of econometric results. Second, we will develop a statistical model that will incorporate and correct for both sources of publication selection bias: the selection for intuitive signs and the selection for statistical significance. The existing models treat the sources of bias separately. Finally, we will apply meta-regression methods to investigate important economic questions for which no quantitative synthesis of empirical results has yet been done. We will examine, for example, the effect of national borders on trade, the efficient market hypothesis, and the relation between bank competition and financial stability.
Spolupráce: Tom Stanley
Project coordinator and applicant: Tomáš Havránek
Práce v rámci grantu:
WWW odkaz:
Finance: GAČR
Konec: 2017

Bank Competition and Financial Stability: Much Ado About Nothing?

Bank Competition and Financial Stability: Much Ado About Nothing?

Do Borders Really Slash Trade? A Meta Analysis

Does Daylight Saving Save Energy? A Meta-Analysis

Measuring the Income Elasticity of Water Demand: The Importance of Publication and Endogeneity Biases

Natural Resources and Economic Growth: A Meta-Analysis

Publication Bias in Measuring Climate Sensitivity

Publication Bias in Measuring Climate Sensitivity


17th EBES Conference


McKinsey & Company