TOOLS FOR CAUSAL INFERENCE FROM CROSS-SECTIONAL INNOVATION SURVEYS WITH CONTINUOUS OR DISCRETE VARIABLES: THEORY AND APPLICATIONS
This paper presents a new statistical toolkit by applying three techniques for data-driven causal inference from the machine learning community that are little-known among economists and innovation scholars: a conditional independence-based approach, additive noise models, and non-algorithmic infere...
I tiakina i:
| I whakaputaina i: | Cuadernos de Economía |
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| Ngā kaituhi matua: | , , |
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Universidad Nacional de Colombia
2018
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| Ngā marau: | |
| Urunga tuihono: | https://www.redalyc.org/articulo.oa?id=282161175006 https://www.redalyc.org/journal/2821/282161175006/ https://www.redalyc.org/journal/2821/282161175006/html/ https://www.redalyc.org/journal/2821/282161175006/282161175006.epub https://www.redalyc.org/journal/2821/282161175006/movil |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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