arbiter
JournalsPricingAccount

Quality managment and labor productivity of formal companies in Perú: A non – experimental design and causal machine learning techniques

Mario D. Tello & Daniel S. Tello Trillo

Economic Studies / Estudios de Economia2024https://doi.org/10.4067/s0718-52862024000100117article
ABDC C
Weight
0.30

What the paper says

No abstract available.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.4067/s0718-52862024000100117

Or copy a formatted citation

@article{mario2024,
  title        = {{Quality managment and labor productivity of formal companies in Perú: A non – experimental design and causal machine learning techniques}},
  author       = {Mario D. Tello & Daniel S. Tello Trillo},
  journal      = {Economic Studies / Estudios de Economia},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.4067/s0718-52862024000100117},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Quality managment and labor productivity of formal companies in Perú: A non – experimental design and causal machine learning techniques

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.