Synthetic Control Analysis

This repository contains an R-based implementation of the Synthetic Control Method, including the main model estimation, robustness checks using placebo tests, and descriptive statistics.

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File Overview

Main Scripts

• Code.R
  Main analysis script containing the core synthetic control implementation and primary results.

• Library.R
  Loads all required R packages used across the project and data frame. This script should be run before executing any other code.

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Placebo Tests

• Placebo.R
  Conducts in-time placebo tests to evaluate the robustness of the treatment effects over different time periods.

• Placebo2.R
  Conducts in-space placebo tests, applying the synthetic control method to control units to assess the credibility of the estimated effects.

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Descriptive Statistics

• Summary.R
  Generates descriptive statistics for the dataset used in the analysis.

• summary_stats.tex
  LaTeX output generated by Summary.R, containing formatted tables of descriptive statistics.

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Project Files

• A5.Rproj
  RStudio project file to ensure reproducibility and consistent project settings.

• .gitignore
  Specifies files excluded from version control.

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Recommended Workflow

1. Run Library.R to load all required libraries
2. Run Code.R to execute the main synthetic control analysis
3. Run Summary.R to generate descriptive
4. Run Placebo.R and Placebo2.R to perform robustness checks