Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Yingyao Hu"'
Publikováno v:
Journal of Agricultural and Resource Economics, Vol 30, Iss 2, Pp 285-301 (2005)
This article compares risk reduction from MPCI and GRP crop insurance contracts. The analysis extends and improves on the existing area-yield insurance literature in four important respects. First, the geographical scope greatly exceeds that of previ
Externí odkaz:
https://doaj.org/article/d07c44f3cdab4de4b4bed347ac8e9701
Publikováno v:
The Stata Journal: Promoting communications on statistics and Stata. 23:86-96
We introduce a new command, robustpf, to estimate parameters of Cobb–Douglas production functions. The command is robust against two potential problems. First, it is robust against optimization errors in firms’ input choice, unobserved idiosyncra
Publikováno v:
Journal of Econometrics. 226:269-294
This paper provides sufficient conditions for identification of a nonparametric regression model with an unobserved continuous regressor subject to nonclassical measurement error. The measurement error may be directly correlated with the latent regre
Autor:
Yingyao Hu, Ji-Liang Shiu
Publikováno v:
Econometric Reviews. 41:373-399
This paper provides a test for completeness in a class of nonparametric specification with an additive and independent error term. It is known that such a nonparametric location family of functions...
Autor:
Yingyao Hu, Ruli Xiao
Publikováno v:
Econometric Reviews. 40:455-469
Publikováno v:
Journal of Econometrics. 215:375-398
This paper proposes a new approach to the identification and estimation of production functions. It extends the literature on the structural estimation of production functions, which dates back to the seminal work of Olley and Pakes (1996), by relaxi
Autor:
Yingyao Hu
This paper presents a novel self-report approach to identify a general causal model with an unobserved covariate, which can be unobserved heterogeneity or an unobserved choice variable. It shows that a carefully designed noninvasive survey procedure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01ee557d35c0ce703a6b045331f260a7
https://doi.org/10.47004/wp.cem.2021.3021
https://doi.org/10.47004/wp.cem.2021.3021
Publikováno v:
SSRN Electronic Journal.
In many empirical studies, the states that are relevant for economic agents to make decisions may not be included in the data to which researchers have access. This problem often arises in the context of monotone industries. In this paper, we develop
Publikováno v:
SSRN Electronic Journal.
Autor:
Yi Xin, Yingyao Hu
Publikováno v:
SSRN Electronic Journal.
This paper develops identification and estimation methods for dynamic structural models when agents’ actions are unobserved by econometricians. We provide conditions under which choice probabilities and latent state transition rules are non-paramet