Zobrazeno 1 - 10
of 85 565
pro vyhledávání: '"Unobserved Heterogeneity"'
Autor:
Beyhum, Jad, Mugnier, Martin
We consider a linear panel data model with nonseparable two-way unobserved heterogeneity corresponding to a linear version of the model studied in Bonhomme et al. (2022). We show that inference is possible in this setting using a straightforward two-
Externí odkaz:
http://arxiv.org/abs/2412.07352
Autor:
Fan, Yanqin1 (AUTHOR) fany88@uw.edu, Jiang, Shuo2 (AUTHOR) jiangshuo@xmu.edu.cn, Shi, Xuetao3 (AUTHOR) xuetao.shi@sydney.edu.au
Publikováno v:
Quantitative Economics. Nov2024, Vol. 15 Issue 4, p893-938. 46p.
Publikováno v:
Journal of Economic and Administrative Sciences, 2022, Vol. 40, Issue 3, pp. 469-481.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEAS-10-2021-0216
Publikováno v:
In International Journal of Transportation Science and Technology December 2024 16:87-99
Autor:
Fogel, Jamie, Modenesi, Bernardo
Recent advances in the literature of decomposition methods in economics have allowed for the identification and estimation of detailed wage gap decompositions. In this context, building reliable counterfactuals requires using tighter controls to ensu
Externí odkaz:
http://arxiv.org/abs/2405.04365
Akademický článek
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Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 28, Iss , Pp 101275- (2024)
Pedestrian safety has always been a concern at urban intersections, especially in low-income developing countries with higher casualty rates. As one of the cities with the highest pedestrian fatality rates in Iran, Mashhad lacks studies that pinpoint
Externí odkaz:
https://doaj.org/article/356c0a171a774acbb38e368de4f93be7
Autor:
Ura, Takuya, Zhang, Lina
This paper provides a framework for the policy relevant treatment effects using instrumental variables. In the framework, a treatment selection may or may not satisfy the classical monotonicity condition and can accommodate multidimensional unobserve
Externí odkaz:
http://arxiv.org/abs/2403.13738
Autor:
Balazadeh, Vahid, Chidambaram, Keertana, Nguyen, Viet, Krishnan, Rahul G., Syrgkanis, Vasilis
We study the problem of online sequential decision-making given auxiliary demonstrations from experts who made their decisions based on unobserved contextual information. These demonstrations can be viewed as solving related but slightly different pr
Externí odkaz:
http://arxiv.org/abs/2404.07266
Akademický článek
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