| Lecturers |
Dr. František Bartoš (University of Amsterdam) Prof. Tomáš Havránek (Charles University, Prague) Dr. Bianka Mey (Chemnitz University of Technology) Anna Schütze, M.Sc. (TU Dresden) Prof. T.D. Stanley (Deakin Business School) |
| Dates |
Part 1 — Monday, September 21, 2026, 10:00 am – 1:00 pm (online) Part 2 — Wednesday, September 23, 2026, 9:30 am – 4:00 pm (on-site, TU Chemnitz) |
| Room / Address |
Part 1: Online via Zoom (link will be sent to registered participants) Part 2: Chemnitz University of Technology (room t.b.a.) |
| Workshop content |
This introductory workshop is directed at doctoral candidates and advanced master’s students who are planning or currently conducting a meta-analysis in economics. It is held in conjunction with the international annual colloquium of the Meta-Analysis of Economics Research (MAER) Network 2026, hosted at Chemnitz University of Technology, and participants are encouraged to attend the colloquium afterwards. Part 1 — Introduction to Meta-Analysis (online, 3 hours). You will get an introduction to the foundations of meta-analysis: what a meta-analysis is, how to formulate a research question, how to design a systematic literature search, and how to code studies and synthesize effect sizes. You will receive a first introduction to publication bias. Part 2 — Advanced Topics in Meta-Analysis Methods (on-site, full day). International experts will deepen the methodology in four sessions: a hands-on introduction to standard methods for detecting and correcting publication bias in R; a practical session on the Meta-Analysis Instrumental Variable Estimator (MAIVE) and current AI guidelines for meta-analyses; an overview of the state of meta-analytic research in economics and recent meta-science developments; and a practical introduction to Robust Bayesian Meta-Analysis (RoBMA) using R/JASP. |
| Structure |
Part 1 — Monday, September 21, 2026 (online, Zoom)
Advanced Topics in Meta-Analysis Methods
|
| Prerequisites | Basic knowledge of statistics and experience with quantitative methods and regression analysis are required. Participants without prior knowledge of meta-analysis should attend Part 1. The workshop language is English. |
| Preparation | Detailed setup instructions and reading material will be sent to registered participants in advance. |
| Certificate | Participants earn a certificate. |
| Registration |
Participation is limited. Registration details t.b.a. Participants are encouraged to attend the subsequent MAER-Net 2026 Annual Colloquium at TU Chemnitz. Further information on the colloquium and the workshop is available at: https://www.maer-net.org/2026-chemnitz |