Publication: Inference in additively separable models with a high-dimensional set of conditioning variables
Inference in additively separable models with a high-dimensional set of conditioning variables
Date
Date
Date
2021
Journal Article
Published version
Citations
Kozbur, D. (2021). Inference in additively separable models with a high-dimensional set of conditioning variables. Journal of Business and Economic Statistics, 39(4), 984–1000. https://doi.org/10.1080/07350015.2020.1753524
Additional indexing
Creators (Authors)
- Kozbur, Damian
Journal/Series Title
Journal/Series Title
Journal/Series Title
Volume
Volume
Volume
39
Number
Number
Number
4
Page range/Item number
Page range/Item number
Page range/Item number
984
Page end
Page end
Page end
1000
Item Type
Item Type
Item Type
Journal Article
In collections
Keywords
Statistics, probability and uncertainty, economics and econometrics, social sciences (miscellaneous), statistics and probability, additive nonparametric models, high-dimensional sparse regression, inference under imperfect model selection
Scope
Scope
Scope
Discipline-based scholarship (basic research)
Language
Language
Language
English
Publication date
Publication date
Publication date
2021-10-02
Date available
Date available
Date available
2022-02-11
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0735-0015
Additional Information
Additional Information
Additional Information
Earlier published as ECON Working Paper No. 284: https://www.zora.uzh.ch/id/eprint/151161/
OA Status
OA Status
OA Status
Closed
Publisher DOI
Other Identification Number
Other Identification Number
Other Identification Number
merlin-id:22112
Citations
Kozbur, D. (2021). Inference in additively separable models with a high-dimensional set of conditioning variables. Journal of Business and Economic Statistics, 39(4), 984–1000. https://doi.org/10.1080/07350015.2020.1753524
Closed
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Files
Files
Files
Files available to download:1
Files
Files
Files
Files available to download:1
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