Replication game notebook: Colantone et al (2024)

Preface

We are ‘robustness replicating’ Colantone et al. (2024a) (also noting Colantone et al. (2024b)) for a replication game (see Institute for replication).

All of our computational replication and additional results should be constructable by sourcing the file main.R in our root directory. (However, packages may need to be installed.)

Code

options(knitr.duplicate.label = "allow")

Key details

Our ‘writeup’ will be given in the chapter “A comment on Colantone et al. (2024, APSR).

Background and goals

We are ‘robustness replicating’ Colantone et al. (2024a) (also noting Colantone et al. (2024b)) for a replication game (see Institute for replication)

Main goals

1. Computationally reproduce key results (do they computationally hold up, especially the ‘main claims’). See ‘Computational replication’.

2. Robustness checks: Consider alternate plausible specifications and approaches. Do the results persist? See ‘Robustness checks’

Aspirational: critique methodology, provide further analysis (e.g., multiple hypothesis testing corrections, equivalence tests)

Colantone, Italo, Livio Di Lonardo, Yotam Margalit, and Marco Percoco. 2024a. “The Political Consequences of Green Policies: Evidence from Italy—CORRIGENDUM.” American Political Science Review 118 (1): 545–48.

———. 2024b. “The Political Consequences of Green Policies: Evidence from Italy—CORRIGENDUM.” American Political Science Review 118 (1): 545–48.