Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/305229 
Erscheinungsjahr: 
2024
Schriftenreihe/Nr.: 
I4R Discussion Paper Series No. 181
Verlag: 
Institute for Replication (I4R), s.l.
Zusammenfassung: 
In this study, we evaluate the reproducibility and replicability of Scott Orr's (2022) 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 the use of 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.
Schlagwörter: 
Replication
Robustness
Productivity
JEL: 
D22
D24
Dokumentart: 
Working Paper

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