EconPapers    
Economics at your fingertips  
 

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

Joonkyo Hong and Davide Luparello

Papers from arXiv.org

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.

Date: 2025-01
New Economics Papers: this item is included in nep-eff and nep-inv
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/2501.19354 Latest version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2501.19354

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().

 
Page updated 2025-03-22
Handle: RePEc:arx:papers:2501.19354