Meta Regression Analysis in Economics and Business 1st Edition Stanley, Hristos Doucouliagos 0415670780 9780415670784

Meta Regression Analysis in Economics and Business 1st Edition Stanley, Hristos Doucouliagos – Ebook PDF Instant Download/Delivery: 0415670780, 9780415670784

Full download Meta Regression Analysis in Economics and Business 1st Edition after payment

Product details:

ISBN 10: 0415670780

ISBN 13: 9780415670784

Author: T.D. Stanley, Hristos Doucouliagos

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 1st Table of contents:

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

2.1.1 Selection criteria for studies included in meta-analysis

Incomplete reporting of research

Non-English studies

Obscure studies

Binary dependent variables

Same estimates

2.1.2 Unpublished papers

2.1.3 Published papers

Does it make a practical difference?

2.1.4 How many studies to collect?

2.2 What data to collect

Essential

Typical

Value-added

2.3 Effect sizes in economics and their standard errors

2.3.1 Regression coefficients

2.3.2 Zero-order correlations

2.3.3 Partial correlations

2.3.4 Elasticities

2.3.5 Semi-elasticities

2.3.6 T-Statistics

2.3.7 Other effect sizes

2.4 Coding issues

2.4.1 Research assistants

2.4.2 Locating the data

2.4.3 Missing information

2.4.4 Multiple estimates: all, best, independent and average datasets

2.4.5 Systematic versus partial reviews

2.5 The quality conundrum: should estimates be combined?

2.5.2 Data dependence

2.6 Summary

3 Summarizing meta-analysis data

3.1 Illustrating data

3.1.1 Funnel graphs

3.1.2 Detecting coding errors

3.1.3 Detecting outliers and leverage points

3.1.4 Chronological ordering of the data

3.2 Summary measures

3.2.1 Vote counting

3.2.2 P-Values

3.2.3 Descriptive statistics

Fixed versus random effect estimates

Simple linear regression

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

4.3.1 Funnel-asymmetry testing

4.3.2 Precision-effect testing

4.3.3 Limitations

4.3.4 PEESE: Correcting publication selection bias

4.3.5 Dependence

4.4 Alternative approaches to publication selection

4.4.1 Rosenthal’s failsafe N

4.4.2 Trim and fill

4.4.3 Hedges’ maximum likelihood, publication selection estimator

4.4.4 Meta-significance testing

4.5 Recap: The FAT-PET-PEESE approach to publication selection

5 Explaining economics research

5.1 Heterogeneity

5.1.1 Is there excess heterogeneity in economics research?

5.1.2 Random-effects meta-regression analysis

5.2 Multivariate models of research

5.2.1 Meta-regression of publication selection

5.2.2 Multiple meta-regression of economics research

Moderator variables

Alternative measures

Econometric model and methods

Data sources

Value added

5.3 Illustrations of multiple meta-regression analysis

5.3.1 The value of a statistical life

5.3.2 The employment effect of raising the minimum wage

Publication selection

Heterogeneity of minimum-wage elasticities

Estimating the corrected effect from a multiple MRA

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

6.2.1 Fixed vs. random-effect panel MRAs

6.2.2 A note on study quality

6.3 Meta-regression models of publication selection

6.4 In defense of simple statistical methods

6.4.1 Selected heterogeneity and the simple FAT-PET-PEESE-MRA

6.4.2 Nothing more than the least

Appendix: assumptions about error structures

7 Further topics in meta-regression analysis

7.1 Alternative applications of meta-regression analysis

7.1.1 Improved parameter estimates

7.1.2 Testing economic theories

7.1.3 Meta-analysis to guide new estimates

7.1.4 Modeling the research process

7.1.5 MRA: A multipurpose tool

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

7.5.1 How well does meta-regression analysis explain the research record?

7.5.2 Does meta-regression analysis withstand the test of time?

7.5.3 Do meta-regression analysis results transfer?

7.6 Effects with interaction and non-linear terms

7.7 Multiple effect size analysis

7.7.1 Seemingly unrelated regressions

7.7.2 Endogeneity in the meta-regression analysis

7.8 Meta-meta-analysis

7.8.1 Within-literature meta-meta-analyses

7.8.2 Between-literature meta-meta-analyses

7.9 Summary

8 Summary and conclusions

Step 1 – Selecting and coding of estimates

Step 2 – Summarizing research

Step 3 – Accommodating publication selection bias

Step 4 – Modeling heterogeneity

Step 5 – Guiding research and policy

People also search for Meta Regression Analysis in Economics and Business 1st: 

meta analysis economics

meta regression in meta analysis

meta regression analysis definition

meta analysis regression

Tags: Stanley, Hristos Doucouliagos, Regression, Economics