Meta‐Regression Analysis: A Quantitative Method of Literature Surveys

C-Tier
Journal: Journal of Economic Surveys
Year: 2005
Volume: 19
Issue: 3
Pages: 299-308

Authors (2)

T. D. Stanley (Deakin University) Stephen B. Jarrell (not in RePEc)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Abstract.  Pedagogically, literature reviews are instrumental. They summarize the large literature written on a particular topic, give coherence to the complex, often disparate, views expressed about an issue, and serve as a springboard for new ideas. However, literature surveys rarely establish anything approximating unanimous consensus. Ironically, this is just as true for the empirical economic literature. To harmonize this dissonance, we offer a quantitative methodology for reviewing the empirical economic literature. Meta‐regression analysis (MRA) is the regression analysis of regression analyses. MRA tends to objectify the review process. It studies the processes that produce empirical economic results as though they were any other social scientific phenomenon. MRA provides a framework for replication and offers a sensitivity analysis for model specification. In this brief essay, we propose a new method of reviewing economic literature, MRA, and discuss its potential.

Technical Details

RePEc Handle
repec:bla:jecsur:v:19:y:2005:i:3:p:299-308
Journal Field
General
Author Count
2
Added to Database
2026-01-29