Public subsidies and innovation : a doubly robust machine learning approach leveraging deep neural networks
| Year of publication: |
2023
|
|---|---|
| Authors: | Varaku, Kerda ; Sickles, Robin C. |
| Published in: |
Empirical economics : a quarterly journal of the Institute for Advanced Studies. - Berlin : Springer, ISSN 1435-8921, ZDB-ID 1462176-9. - Vol. 64.2023, 6, p. 3121-3165
|
| Subject: | Deep neural networks | Double machine learning | Innovation | Nonparametric estimation | Public subsidies | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Subvention | Subsidy | Theorie | Theory | Prognoseverfahren | Forecasting model | Forschungsfinanzierung | Research funding |
-
Sharma, Moolchand, (2022)
-
Double machine learning for treatment and causal parameters
Chernozhukov, Victor, (2016)
-
Villeneuve, Yoan, (2022)
- More ...
-
Sickles, Robin C., (2005)
-
Special symposium on lifetime achievements of Rolf Färe and Shawna Grosskopf
Sickles, Robin C., (2023)
-
PRODUCTIVITY AND EFFICIENCY ANALYSIS SOFTWARE: AN EXPLORATORY BIBLIOGRAPHICAL SURVEY OF THE OPTIONS
Daraio, Cinzia, (2018)
- More ...