Deterrent Effect of Capital Punishment in Japan: An Analysis Using Nonstationary Time-Series Data

@article{Mori2020DeterrentEO,
  title={Deterrent Effect of Capital Punishment in Japan: An Analysis Using Nonstationary Time-Series Data},
  author={Daisuke Mori},
  journal={Supreme Court Economic Review},
  year={2020},
  volume={28},
  pages={61 - 116}
}
  • Daisuke Mori
  • Published 1 January 2020
  • Law
  • Supreme Court Economic Review
In this study, I statistically analyze the deterrent effect of capital punishment in Japan. I first introduce three relatively lesser-known prior studies. The studies have several common limitations: first, in sample size; second, in the econometric methodology (serial correlation, multicollinearity, simultaneity bias, and nonstationary data); and, third, in variable selection. I conduct new analyses to address these problems. In this study, the vector error correction model is adopted to… 

Comment on “Deterrent Effect of Capital Punishment in Japan: An Analysis Using Nonstationary Time-Series Data”

The article byMori (2020) seeks to undertake a respectable objective. Although the debate on capital punishment is vast and ongoing, the law and economics literature almost exclusively focuses in

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