along with a reply from the original author Esther Duflo as well as Allan Hsiao, Mikey Jarrell, and Nathan Lazarus, jcr-econ.org/schooling-an... #replication #reproducibility

The second is Schooling and Labor Market Consequences of School Construction in Indonesia. A Comment on Duflo (American Economic Review, 2001), jcr-econ.org/schooling-an...

along with a reply from the original author Gaurav Khanna jcr-econ.org/large-scale-...

Two papers by David Roodman have been published in JCRE. The first is Large-Scale Education Reform in General Equilibrium: Regression Discontinuity Evidence from India. A Replication Study of Khanna (Journal of Political Economy, 2023), jcr-econ.org/large-scale-...

>5h recordings and slides for most #LoveReplicationsWeek talks are now available on our updated website. Thank you so much everybody who contributed to this wonderful week, participated in the talks, and partnered-up with us. I think there should be a replication of this.
forrt.org/LoveReplicat...

The authors replicate and extend Pettersson-Lidbom(2008) using new and more detailed coalition data, they find that previous results hold and are even strengthened using the new data and some alternative specifications, but heavily dependent on the definition of left-wing rule. #Replication

New in JCRE: Do Parties Matter for Economic Outcomes? A Replication Study of Pettersson-Lidbom (Journal of the European Economic Association, 2008) by Martin Korpi and Erik Lakomaa jcr-econ.org/do-parties-m...

New on JCRE: Andrew Gelman and Guido Imbens reply to Melle R. Albada’s comment on Regression Discontinuity Designs. #CausalInference #EconSky Read the exchange here: jcr-econ.org/stable-adjus...

Get involved with #OpenScience and download your free travel guide for business research in German or English: expedition-open-science.org Be inspired!
Thanks to @briannosek.bsky.social for the kind words and support!

there will be a Replication Journal Showcase featuring @jcre.bsky.social, Journal of Robustness Reports, Journal of Open Psychological Data (via Verification Reports), Rescience C, and of course @r2journal.bsky.social.

Join us for the LOVE REPLICATIONS WEEK from March 2 - 6 with talks on reproductions, replications, how to find them, how to conduct them, how to have them conducted on your study, where to publish them, and much more!

2. Local linear/quadratic fits can also yield excessive false positive findings, even with best practices, and it can worsen as N grows. The author suggests that researchers should routinely investigate false positive rates in their studies. #econsky

1. Global high-order polynomials can assign extreme weights in sparse regions—but because few observations receive them, the impact on the treatment estimate is often small.

The comment revisits Gelman & Imbens (2019) on polynomial regression discontinuity. The author shows two common critiques depend on context and interpretation.

New in JCRE: Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs. A Comment on Gelman and Imbens (Journal of Business & Economic
Statistics, 2019) by Melle R. Albada jcr-econ.org/why-high-ord...

The original authors have also provided a reply to this comment, which we publish alongside the article. jcr-econ.org/languages-an...

Reanalysing the data from Ayres et al. (2023), the author shows key results rely on biased controls; once fixed, effects are smaller and often insignificant. The Linguistic Savings Hypothesis survives—but more modestly.

Languages encode the future differently (strong vs. weak future time reference). Three recent works claimed this difference affects patience and firm behaviour.

New in JCRE: The Common Problem of Bad Controls in Tests of the Linguistic Savings Hypothesis. A Comment on Ayres et al. (PNAS, 2023) and related literature by Paul Clist @paulclist.bsky.social jcr-econ.org/the-common-p...

Don’t Panic: A Researcher’s Guide to Replication Packages Episode 1: A New README Who Needs a README? Imagine coming across a really cool paper in a top journal. The kind of paper you wish you wrote yourself; the…

🚨New blog post: Replicators, rejoice! Episode 1 of the new series is out: “A New README.” A practical guide to transforming messy project folders into clear, well-structured documentation that strengthens transparency and reproducibility.

See more at
i4replication.org/dont-panic-a...

We’re very much looking forward to this talk on open science!

Replicating and extending Kilian (2009), the authors show again that “not all oil price shocks are alike”. Using new data, R-based tools and robust inference, they study how global oil supply vs demand shocks hit a local economy in the transition away from fossil fuels.

New in JCRE: Not All Oil Price Shocks Are Alike. A Replication Study of Kilian (American Economic Review, 2009)
by Rich Ryan and Nyakundi Michiek jcr-econ.org/not-all-oil-...

The original authors have also provided a reply to this comment, which we publish alongside the article.
jcr-econ.org/bitcoin-adop...

The comment shows that the empirical part of Balutel et al.’s (2022) article suffers from an internal
validity problem. Specifically, the network size variable is problematic. Hence, Balutel et al. fail to
provide reliable evidence that network effects impact Bitcoin adoption.

New in JCRE: Bitcoin Adoption and Beliefs in Canada: A Comment on Daniela Balutel, Christopher Henry, Jorge Vásquez, and Marcel Voia (Canadian Journal of Economics, 2022), by Leo Van Hove jcr-econ.org/bitcoin-adop...

Rogowski et al. (2022) show that historical postal networks boosted economic development across countries and within the US.
The replication study reproduced all results — the findings are broadly robust, though somewhat sensitive to spatial trends. #Replication #Economics #OpenScience

New in JCRE: “Public Infrastructure and Economic Development: Evidence from Postal Systems A Replication Study of Rogowski et al. (American Journal of Political Science, 2022) by @florianneubauer.bsky.social , Julian Rose and @jrgptrs.bsky.social "
www.jcr-econ.org/public-infra...

Congrats on the launch of Replication Research from JCRE! Great to see another venue promoting transparency, rigor, and replication in research.

How to decide what to replicate or reproduce? We recommend priotizing studies with "high value" or unclear results, considering practical limits, watching for bias, and always communicate choices openly.

Handbook chapter: forrt.org/replication_handbook/choosing_study.html