Replication files and data for Political and Economic Institutional Quality, Incoherence, and Income: A Spatial Panel Approach

Description

This replication package accompanies the article “Political and Economic Institutional Quality, Incoherence, and Income: A Spatial Panel Approach.” It tests how political and economic institutions, along with their internal incoherence, affect income via a Spatial Durbin Model with individual fixed effects. Please refer to the "README.md" file for a quick start and an end-to-end workflow overview. The code is self-contained and self-explanatory. Running the "_main.R" file reproduces all tables and figures reported in the paper. No synthetic data is generated, and all paths are relative to the current directory. For methodological details and interpretation, refer to the manuscript. All compiled data and code in this package are shared under the license stated on this record. Raw third-party data remain available from the cited providers; links and exact retrieval/processing instructions are explained in the "README.md" file.

Steps to reproduce

The dataset is assembled from multiple publicly available international sources. Workflow: 1. Raw data collection: Each dataset is downloaded in its original format and stored in source-specific subfolders. For transparency, every subfolder includes a “_Data Retrieved.txt” file (containing the retrieval date and source link), a “_Notes.docx” file (with collection notes), and the raw data file. 2. Data ETL: The script "_load_data.R" processes all raw data sources. It performs cleaning, transformations, and merging before exporting processed datasets into the "Output/_Data" directory. This script is automatically called by `_main.R`. Users may also run "_load_data.R" independently to reproduce the processed dataset from raw sources. 3. Dataset construction: Raw datasets are merged into a single file (“combined.csv” and “combined.RData”) stored under the "Output/_Data/_Combined" directory. 4. Reproducibility: All steps are scripted in R and automated via the main script. The R package environment is pinned using the "renv" folder and “renv.lock” file. A Stata folder is also provided with the necessary files for performing the final phase of the analysis in Stata. Software: R (version 4.5.2) and Stata (version 17 or later). All analyses can be fully reproduced by restoring the R environment (renv::restore) and sourcing the "_main.R" script.

Institutions

• Eskişehir Osmangazi University

  Eskişehir, Eskişehir

Categories

Licence