Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-2 of 2
Keywords: Double machine learning
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Journal:
China Agricultural Economic Review
China Agricultural Economic Review 1–21.
Published: 03 April 2026
... a vital force that influences sustainable economic development. Design/methodology/approach This study employs a double machine learning model and a mediation and moderation effects model to investigate the impact mechanisms of digital infrastructure on urban-rural income inequality, in which new...
Journal Articles
Journal:
China Agricultural Economic Review
China Agricultural Economic Review (2026) 18 (3): 522–547.
Published: 27 February 2026
... Studies covering 2016 to 2022, comprising over 29,000 observations. A double machine learning framework is employed to control for high-dimensional household and regional characteristics flexibly, enhancing the robustness of causal inference. Findings The findings show that NAAPZ policy...
