Robustness: Regular difference-in-differnece analysis.

<p>This table estimates a standard difference-in-differences specification as a robustness check to the synthetic difference-in-differences analysis presented in the main body of the paper. Specifically, we follow the same steps to construct treatment and control groups, then estimate the following regression:\n</p><p></p>\nIn this specification, <i>κ</i><sub><i>n</i></sub> represents newspaper fixed effects, and <i>ζ</i><sub><i>t</i></sub> represents time fixed effects (FE), both of which absorb the individual treatment and post-period coefficients. Standard errors are clustered at the newspaper level to account for within-newspaper correlation.<p></p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-12-31
DOI
https://doi.org/10.1371/journal.pone.0315137.s001
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robustness: Regular difference-in-differnece analysis.

Figshare
Advanced Causal Inference Techniques
article

Robustness: Regular difference-in-differnece analysis.

article en

Abstract

<p>This table estimates a standard difference-in-differences specification as a robustness check to the synthetic difference-in-differences analysis presented in the main body of the paper. Specifically, we follow the same steps to construct treatment and control groups, then estimate the following regression:\n</p><p></p>\nIn this specification, <i>κ</i><sub><i>n</i></sub> represents newspaper fixed effects, and <i>ζ</i><sub><i>t</i></sub> represents time fixed effects (FE), both of which absorb the individual treatment and post-period coefficients. Standard errors are clustered at the newspaper level to account for within-newspaper correlation.<p></p> <p>(PDF)</p>

Figshare
Openalex Percentile: Top 65%
Advanced Causal Inference Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Robustness: Regular difference-in-differnece analysis. · Figshare (2024) | TGRS Research Map | TGRS