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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| Main Authors | , |
|---|---|
| Format | eBook |
| Language | English |
| Published |
Oxford
Routledge
2012
Taylor and Francis Taylor & Francis Group |
| Edition | 1 |
| Series | Routledge advances in research methods |
| Subjects | |
| Online Access | Get full text |
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| Abstract | 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 research has become. Meta-analysis is the statistical analysis of previously published, or reported, research findings on a given hypothesis, empirical effect, phenomenon, or policy intervention. It is a systematic review of all the relevant scientific knowledge on a specific subject and is an essential part of the evidence-based practice movement in medicine, education and the social sciences. However, research in economics and business is often fundamentally different from what is found in the sciences and thereby requires different methods for its synthesis-meta-regression analysis. This book develops, summarizes, and applies these meta-analytic methods. |
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| AbstractList | 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 research has become. Meta-analysis is the statistical analysis of previously published, or reported, research findings on a given hypothesis, empirical effect, phenomenon, or policy intervention. It is a systematic review of all the relevant scientific knowledge on a specific subject and is an essential part of the evidence-based practice movement in medicine, education and the social sciences. However, research in economics and business is often fundamentally different from what is found in the sciences and thereby requires different methods for its synthesis-meta-regression analysis. This book develops, summarizes, and applies these meta-analytic methods. Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research. 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 research has become. Meta-analysis is the statistical analysis of previously published, or reported, research findings on a given hypothesis, empirical effect, phenomenon, or policy intervention. It is a systematic review of all the relevant scientific knowledge on a specific subject and is an essential part of the evidence-based practice movement in medicine, education and the social sciences. However, research in economics and business is often fundamentally different from what is found in the sciences and thereby requires different methods for its synthesis—meta-regression analysis. This book develops, summarizes, and applies these meta-analytic methods. 1: Introduction 2: Identifying and Coding Meta-Analysis Data 3: Summarizing Meta-Analysis Data 4: Publication Bias and Its Discontents 5: Explaining Economics Research 6: Economic Theory and Meta-Regression Analysis 7: Further Topics in Meta-Regression Analysis 8: Summary and Conclusions T.D. Stanley is Bill and Connie Bowen Odyssey Professor of Economics at Hendrix College, Conway, AR, USA. Hristos Doucouliagos is Professor in the School of Accounting, Economics and Finance, Deakin University, Melbourne, Australia. |
| Author | Stanley, T.D. Doucouliagos, Hristos |
| Author_xml | – sequence: 1 givenname: T.D. surname: Stanley fullname: Stanley, T.D. – sequence: 2 givenname: Hristos surname: Doucouliagos fullname: Doucouliagos, Hristos |
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| Copyright | T.D. Stanley and Hristos Doucouliagos 2012 |
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| Keywords | 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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| PublicationDate | 2012 20120821 2012-08-21 |
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| PublicationSeriesTitle | Routledge advances in research methods |
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| Snippet | 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... Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research. |
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| SubjectTerms | 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 |
| TableOfContents | 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 |
| Title | Meta-Regression Analysis in Economics and Business |
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