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Unveiling Plant-Product Productivity via First-Order Conditions: Robust Replication of Orr (2022)

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  • Joonkyo Hong
  • Davide Luparello

Abstract

In this study, we evaluate the reproducibility and replicability of Scott Orr's (Journal of Political Economy 2022, 130(11): 2771-2828) innovative approach for identifying within-plant productivity differences across product lines. Orr's methodology allows the estimation of plant-product level productivity, contingent upon a well-behaved pre-estimated demand system, which requires carefully chosen instrumental variables (IVs) for output prices. Using Orr's STATA replication package, we successfully replicate all primary estimates with the ASI Indian plant-level panel data from 2000 to 2007. Additionally, applying Orr's replication codes to a sample from 2011 to 2020 reveals that the suggested IVs do not perform as expected.

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  • Joonkyo Hong & Davide Luparello, 2025. "Unveiling Plant-Product Productivity via First-Order Conditions: Robust Replication of Orr (2022)," Papers 2501.19354, arXiv.org.
    • Handle: RePEc:arx:papers:2501.19354
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