Datasets

This catalogue collects 44 estimate-level datasets from the empirical meta-analyses on this site, in standard formats, each with a machine-readable codebook and explicit rights information.

The converted source files hold 65,349 rows, every one keeping the variables coded for its original paper. After applying each paper's analysis selection and, where necessary, reshaping the source data into estimate-level observations, the catalogue below represents 61,294 estimates.

One file, every literature

54,076 estimate-level rows from 39 literatures in a single table, with the effect, its standard error, the sample size, and the characteristics that recur across literatures. Some literatures contribute one row per impulse-response horizon rather than one per independent estimate, so treat a row as an observation and check effect_units and the dataset's own notes before assuming independence.

Also as Parquet, which is smaller and keeps column types.

df <- read.csv("https://meta-analysis.cz/data/v1/estimates_harmonised.csv")

import pandas as pd
df = pd.read_parquet("https://meta-analysis.cz/data/v1/estimates_harmonised.parquet")

Raw effect levels are not comparable across literatures. An elasticity, a partial correlation and a dollar value per tonne of carbon all sit in the same column; effect_units records which is which. Analyse within each literature. Comparing across them needs an explicitly standardised measure, and relative changes are meaningful only where the baseline is safely away from zero.

The harmonised table is version 0.9.0-beta: 54,076 observations from 39 literatures. Every row records the file and the columns it came from, so any value can be traced back to the published dataset and checked.

20 of the 39 pooled literatures have code-based verification: 19 checked against the paper's own replication code and 1 traced through it. The remaining 19 rest on arithmetic effect/standard-error matching alone and are provisional. Every dataset publishes an audit_status saying which it is.

One literature at a time

Each dataset is also published on its own, with all of the variables coded for its paper rather than the shared subset, and a codebook describing every column.

Published but not pooled

Five datasets are published but stay out of the pooled table: two carry no per-estimate standard error, and three overlap with a dataset already included, which would otherwise be counted twice.

fdi

no per-estimate precision exists: the file has no standard error, t-statistic, weight or inverse-SE column, so SE-based synthesis is impossible

hedge

duplicate of alphas: identical estimates, row for row

lags

outcome is the transmission lag (mon_bot, months to the price trough); it has no sampling standard error, so it cannot enter an effect/SE table

substitution

duplicate of eis: identical estimates, row for row

trust

later, larger collection of the same literature as size; partially overlaps it and is excluded to avoid double counting

Machine-readable

The whole collection is available as JSON: an index of every dataset with paper, DOI, file URLs and column roles, a Frictionless data package, and a Croissant record. Full documentation is in the API README.

Licence and citation

Everything on this site is released under CC BY 4.0: the datasets, their CSV and Parquet conversions, the pooled table, the codebooks, the index, the documentation and the papers deposited here. Use any of it, including for training, provided you give credit. The licence file states the terms.

Each dataset was assembled for a specific paper. When you use one, cite that paper. The index carries every paper's title, authors and DOI. Citing the source paper is how attribution under CC BY is satisfied here, and it is what makes the collection worth maintaining.

To cite the collection:

Havranek, T. and Z. Irsova (2026). meta-analysis.cz: harmonised estimate-level data from meta-analyses in economics. Zenodo. https://doi.org/10.5281/zenodo.21773678

That is the concept DOI: it always resolves to the newest version. In a replication package, where the exact files matter, cite this release instead: 10.5281/zenodo.21773679, version 0.9.0-beta.