Meta-Regression Analysis in Economics and Business

The purpose of this book is to introduce novice researchers to the tools of meta-analysis and meta-regression analysis and to summarize the state of the art for existing practitioners. Meta-regression analysis addresses the rising "Tower of Babel" that current economics and business resear...

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Bibliographic Details
Main Authors Stanley, T.D., Doucouliagos, Hristos
Format eBook
LanguageEnglish
Published Oxford Routledge 2012
Taylor and Francis
Taylor & Francis Group
Edition1
SeriesRoutledge advances in research methods
Subjects
Business
Business literature
Business, Management and Accounting
Econometrics
Economics
Economics literature
Evaluation
Labour Economics
Marketing
Methodology
Political Economy
Political Research Methods
Regression analysis
Statistical methods
Minimum Wage Effects
Random Study Effects
Funnel Plot
Misspecification Biases
Cluster Robust Standard Errors
Stanley
MRA Model
Heterodox Economics
Publication Bias
Excess Heterogeneity
Funnel Asymmetry Test
Meta-regression Model
Doucouliagos
Funnel Graph
Study Level Effects
Heckman Regression
Dummy Variables
Average Income
Meta-Regression
Per-capita Gdp
Inverse Mills Ratio
Adverse Employment Effect
Regression Analysis
SUR
Kaitz Index
Metaregression Analysis
Publication Selection Bias
Publication Selection
MRA
Multiple MRA
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Table of Contents:
  • Cover -- Meta-Regression Analysis in Economics and Business -- Copyright -- Contents -- List of Figures -- List of Tables -- Acknowledgments We -- 1. Introduction -- 1.1 The Tower of Research -- 1.2 A historical sketch of meta-regression analysis -- 1.3 Practical examples -- 1.4 Plan of the book -- 2. Identifying and coding meta-analysis data -- 2.1 Identifying studies -- 2.2 What data to collect -- 2.3 Effect sizes in economics and their standard errors -- 2.4 Coding issues -- 2.5 The quality conundrum: should estimates be combined? -- 2.6 Summary -- 3. Summarizing meta-analysis data -- 3.1 Illustrating data -- 3.2 Summary measures -- 3.3 Statistical significance versus economic significance -- 3.4 Testing for heterogeneity -- 3.5 Recap: summarizing research -- 4. Publication bias and its discontents -- 4.1 Publication selection -- 4.2 Funneling research to identify and correct publication selection bias -- 4.3 Simple meta-regression models of publication selection -- 4.4 Alternative approaches to publication selection -- 4.5 Recap: The FAT-PET-PEESE approach to publication selection -- 5. Explaining economics research -- 5.1 Heterogeneity -- 5.2 Multivariate models of research -- 5.3 Illustrations of multiple meta-regression analysis -- 5.4 Robustness and dependence -- 5.5 Will the real meta-regression analysis model please stand up? -- 5.6 Recap: explaining the heterogeneity of economics research -- 6. Econometric theory and meta-regression analysis -- 6.1 The theory of meta-regression analysis -- 6.2 Improving meta-regression analysis with unbalanced panel models -- 6.3 Meta-regression models of publication selection -- 6.4 In defense of simple statistical methods -- Appendix: assumptions about error structures -- 7.Further topics in meta-regression analysis -- 7.1 Alternative applications of meta-regression analysis
  • 7.2 Specification of the meta-regression analysis -- 7.3 Functional form of the meta-regression analysis -- 7.4 Exclusion restrictions -- 7.5 Evaluating predictions from meta-regression analysis -- 7.6 Effects with interaction and non-linear terms -- 7.7 Multiple effect size analysis -- 7.8 Meta-meta-analysis -- 7.9 Summary -- 8. Summary and conclusions -- Notes -- References -- Index