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Meta-Regression Analysis in Economics and Business [Kõva köide]

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(Hendrix College, USA), (Deakin University, Australia)
  • Formaat: Hardback, 196 pages, kõrgus x laius: 234x156 mm, kaal: 530 g, 20 Tables, black and white; 16 Line drawings, black and white; 16 Illustrations, black and white
  • Sari: Routledge Advances in Research Methods
  • Ilmumisaeg: 05-Jul-2012
  • Kirjastus: Routledge
  • ISBN-10: 0415670780
  • ISBN-13: 9780415670784
Teised raamatud teemal:
Meta-Regression Analysis in Economics and BusinessSuurem pilt
  • Formaat: Hardback, 196 pages, kõrgus x laius: 234x156 mm, kaal: 530 g, 20 Tables, black and white; 16 Line drawings, black and white; 16 Illustrations, black and white
  • Sari: Routledge Advances in Research Methods
  • Ilmumisaeg: 05-Jul-2012
  • Kirjastus: Routledge
  • ISBN-10: 0415670780
  • ISBN-13: 9780415670784
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780415670784.html
Märksõnad:

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.

List of figures
vii
List of tables
viii
Acknowledgments ix
1 Introduction
1(11)
1.1 The Tower of Research
1(4)
1.2 A historical sketch of meta-regression analysis
5(4)
1.3 Practical examples
9(1)
1.4 Plan of the book
10(2)
2 Identifying and coding meta-analysis data
12(26)
2.1 Identifying studies
13(7)
2.2 What data to collect
20(2)
2.3 Effect sizes in economics and their standard errors
22(7)
2.4 Coding issues
29(4)
2.5 The quality conundrum: should estimates be combined?
33(4)
2.6 Summary
37(1)
3 Summarizing meta-analysis data
38(13)
3.1 Illustrating data
38(5)
3.2 Summary measures
43(5)
3.3 Statistical significance versus economic significance
48(1)
3.4 Testing for heterogeneity
48(1)
3.5 Recap: summarizing research
49(2)
4 Publication bias and its discontents
51(29)
4.1 Publication selection
51(2)
4.2 Funneling research to identify and correct publication selection bias
53(7)
4.3 Simple meta-regression models of publication selection
60(12)
4.4 Alternative approaches to publication selection
72(6)
4.5 Recap: The FAT-PET-PEESE approach to publication selection
78(2)
5 Explaining economics research
80(26)
5.1 Heterogeneity
81(3)
5.2 Multivariate models of research
84(5)
5.3 Illustrations of multiple meta-regression analysis
89(10)
5.4 Robustness and dependence
99(3)
5.5 Will the real meta-regression analysis model please stand up?
102(2)
5.6 Recap: explaining the heterogeneity of economics research
104(2)
6 Econometric theory and meta-regression analysis
106(19)
6.1 The theory of meta-regression analysis
106(6)
6.2 Improving meta-regression analysis with unbalanced panel models
112(5)
6.3 Meta-regression models of publication selection
117(3)
6.4 In defense of simple statistical methods
120(3)
Appendix: assumptions about error structures
123(2)
7 Further topics in meta-regression analysis
125(22)
7.1 Alternative applications of meta-regression analysis
125(5)
7.2 Specification of the meta-regression analysis
130(1)
7.3 Functional form of the meta-regression analysis
131(1)
7.4 Exclusion restrictions
132(1)
7.5 Evaluating predictions from meta-regression analysis
132(3)
7.6 Effects with interaction and non-linear terms
135(1)
7.7 Multiple effect size analysis
136(4)
7.8 Meta-meta-analysis
140(5)
7.9 Summary
145(2)
8 Summary and conclusions
147(7)
Notes 154(14)
References 168(12)
Index 180
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.