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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Inference in additively separable models with a high-dimensional set of conditioning variables
Organization Unit
Authors
  • Damian Kozbur
Item Subtype Original Work
Refereed No
Status Published in final form
Language
  • English
Journal Title Journal of Business and Economic Statistics
Publisher American Statistical Association
Geographical Reach international
ISSN 0735-0015
Volume 39
Number 4
Page Range 984 - 1000
Date 2021
Digital Object Identifier 10.1080/07350015.2020.1753524
Other Identification Number merlin-id:22112
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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
Additional Information Earlier published as ECON Working Paper No. 284: https://www.zora.uzh.ch/id/eprint/151161/